https://www.useorganizer.com/ helps you organize stuff primarily but can also double as photo album and private log. Open source and local storage. Not so much working on. It is complete and does what I wanted it to.
Opening a new maker space in Berkeley, July 3rd Noon-Midnight. Founded by 2 guys in a basement 9 years ago. Now opening it up to the community of local makers as a non-profit 501(c)(3). 3D print, laser cutters, CNC, full e-bench. https://eastbaymakersclub.com
Awesome. If you are not in touch with Maker Nexus (based out of Sunnyvale) already, please reach out! Would love to put you in touch with the administrators there on what they learned about successfully running a non-profit maker space.
This is extremely impressive, something I’ve always wanted to create locally. I’m in the UK so setup, registration, costs etc are very different but what’s the ballpark cost? We have a real lack of maker spaces.
I continue to work on my city builder game Microlandia, launched here in HN ~6 months ago. I originally predicted a few dozen urbanism nerds would play it, but now almost 10,000 copies sold. I'm still a solo developer but now I collaborate with 2D, 3D and music artists. Which is good because the original art that I drew myself for the launch was horrible.
I'm currently working on modeling energy, climate and new policies like universal basic income
This reminds me of what "Hell Mod" did to Diablo I: Basically reinvented the game as it would have been if Blizzard hadn't been constrained by money or time, and knew what worked from their sequels.
Man looks amazing, the detail level of the simulation seems to be in another level compared to sity skylines and co.
If you need any help or just chat about this, reach out to contact (At) khorchani (dot)fr
> OK, I'll bite - what would a failure of UBI look like?
Higher taxes for anyone earning over $100k
Higher cost of living, and lower quality of life for anyone earning below $60k
Politicians and corporations earn billions in profits on UBI distribution fees, and incentive spending/automatic deposit programs (contribute your UBI directly to health insurance and it’s tax exempt!)
Every API has a contract - the rules for how it should behave. You can't withdraw more than the balance. You can't delete a resource with active references. You can't re-create what already exists. But usually these rules are never written down in one place. Accordant lets you write the contract directly, as executable code. Not documentation that drifts, but code - if the implementation stops behaving according to the contract, you get immediate failures. Not only can you use the executable spec to validate _arbitrary_ scenarios, you can also use the spec - a first class construct - to mechanically explore the state space of a system and generate interesting test sequences. The docs above have examples.
Also worth calling out that we've used the framework to model a number of complex, distributed real-world systems: those involving async processes, concurrency, retries and crash consistency. These are non-trivial specs (and they pair quite well with techniques like deterministic simulation testing). Great care has been taken to ensure the specs remain readable and concise despite that richness of behavior. For those of you old timers who might be familiar with Spec#/SpecExplorer and NModel, this model-based testing library is a descendant of that line of work.
With the rise in AI-assisted software development, I feel we need richer ways of specifying and validating software and I feel quite excited and bullish about the possibilities here. There's a lot more to say on the topic - follow my twitter feed if interested in more updates ;)
Currently I am working on a browser + server based video editing site. The site is almost 6 years old and started as something I made for friends on Discord. It's a tool based site where I add tools as friends and family request them, most tools like resizing a video, cutting a video, extracting audio use ffmpeg wasm and run in the browser but I also have the option to process it on my server which is faster. In the last couple of months I have started experimenting with AI and I have added some AI tools such as transcription, image generation with small models and stuff like that. I am also dogfooding the website for my $dayjob so I added a browser based screen recorder which allows me to create short tutorial like videos and quickly share them with clients.
https://editclips.online/
After 1.5 years of development and two exhausting pivots, I’m incredibly happy to finally have our v1 live!
While most of the HR tech is rushing to use black-box AI, I built the exact opposite. It's a transparent, math-driven fitness engine. It extracts objective data from CVs and calculates how well applicants match requirements, letting you see the reasoning behind why someone scored an X%.
If anyone here builds in the HR space or regularly hires engineers, I would absolutely love your feedback or a roast of the landing page.
PS This is a project of immense importance for me, I've been working on for past ~2 years, I'd appreciate to know why this comment is flagged.
For a while a "cv2vec" lingered in my mind, but abandoned it due to the sheer volume of PII I'd need.
How do you deal with CVs like mine that refuse to list every <fancy keyword> I'm familiar with because it's pointless clutter? In that sense, and IME, the companies that only hire perfect fits are, more often than not, toxic.
I'm curious how you're addressing any legal aspects about this:
> No black-box AI. Every candidate gets a detailed match receipt explaining exactly why they scored an 85%, complete with contextual evidence from their CV.
HR teams like to play dead when they actually have a file with detailed feedback on a candidate. Yet, they choose to keep that to themselves out of baseless legal fear. I wonder how that works out when somebody proves a company's filter consistently proves a specific bias gets rejected systematically.
and
> Automated assignment validation
which is particularly troubling for devs: companies scaling assignments as first screen. How do you get around "AI evaluating AI" loops especially about assignments ?
As someone who worked on HR Tech in 2024-2025, I think you're really solving a problem here. Cat is out of the bag already it's not like HR can go back to the pre-AI world ... I'm also puzzled by the flags. Congrats on your project :)
flags or downvotes probably come from people being skeptical about automated CV evaluation. in europe this is also legally questionable.
also matching requirements should be secondary to experience. someone who has done a few react websites will not be as qualified for your react job as someone that has done 10 years of angular and vue and can learn react in a short time.
Still plugging away at Breaka Club, where kids take photos of their hand drawn art and build games using it. Starts out as no-code, photograph an AprilTag and it imbues the image with functionality.
I'm running an in school pilot this week (Lunch time school club).
The tech stack for the main product is honestly pretty intense at this point with full multiplayer support, offline play, transitioning from client authoritative to joining a remote server. Built atop GodotJS, TypeScript bindings for Godot, which I maintain. Huge monorepo with over a million lines (yes, I'm aware that's NOT a good thing), and GodotJS itself is not included in that.
I've been working on releasing an app for maintenance tracking for home. I've always had problems with having in my calendar to replace a battery in my chicken coop every year, then things come up and I end up replacing the battery a few weeks later, so I have to go and change my calendar event. Or fertilizing my hops every two weeks only in the summer. Then in the winter I am getting notified every two weeks. So I built a simple app for tracking those with floating repetition and seasonality. [0]
Also recently got a lot of home VHS tapes digitalized and always had trouble with playing from Google drive or finding the right video. So I just built a webapp this month to split the videos into clips, transcoding it for better streaming, Google casting support, and tagging for search. [1]
I'm not working on anything that interesting at the moment, but I just wanted to say that these threads are absolutely my favorite part of HN. Just so much creativity and hard work on display.
After getting the top spot in What Are You Working On in Feb 2025 ( https://news.ycombinator.com/item?id=43157056 ) I started a company on that idea at https://getcomper.ai . After solo building for 11 months I found a co-founder, got an angel investment, then got some ex-Miro folk on board and we are now building the product at breakneck speed.
We're a collaborative canvas + context engine for all the code and docs in your company, with a zoomable UI + CLI , where you can collaborate with your co-workers and agents.
We map technical debt, agent readiness, code complexity, security scanning, bus factor and more, so you can easily see how all the software in your company runs.
One of the most complex things is our incremental git blame engine built on top of GitOxide, as our backend is fully built on Rust. Our frontend is built on PixiJS so you can explore at gaming speed with 60Hz refresh rates.
Recently we sponsored Rust Week in Europe and a hundred or so developers tried our mini-game which is GeoGuessr for code, and got rave reviews. Future is looking bright!
we do a very comprehensive scan in multiple dimensions: git blame history, llm passes over every file and a tree-sitter analysis for cognitive complexity. We bring our opinionated approach for tools (do you have linters, CI/CD, static typing, agent docs) and score each aspect. We also create your architecture diagrams with our secret agent sauce, and map technical debt on each level of the C4 hierarchy.
3 hours trying to remove an oil filter from tractor. Chain clamp mishaped it, I ended up shredding it, ripped out the innards, all the tin down to the intake rim (yes, shredded metal everywhere) until finally used needle nose spread open in two of the intake holes and a plummers wrench for torque finally loosened it.
Reading Brand's quick little life changer kept me going with surprisingly few cuss fits:
My go to for these (was a tractor mechanic early in life) is to start with a big flat blade screwdriver and knock it completely through the side of the filter to the other side with a hammer, then use that to break the filter loose. I’ve near had one go sideways with that method, you get it through both outside sheet metal and the inner perforated metal that is usually stronger and welded to the threads
I'm working on an iPhone app to run iOS-native agents using both cloud and local models, using llama.cpp. It has access basic iOS tools such as calendar, reminders etc. but also more advanced ones like a custom JS environment running on QuickJS that can use various custom modules like an HTTP client, Git etc.
It's a project I have been working on for quite a long time and I released it on TestFlight about a week ago. It was really nice to work on something end-to-end, from creating a wrapper around llama.cpp with support for prompt caching/forking and automatic model loading and unloading based on device memory constraints, to the custom agentic harness the app runs on. I have also spent quite a lot of time on agent execution modes that I hope can enable to more easily reason about agent security regarding prompt injection attacks.
What I'm really hoping for now is to get actual feedback, to know if users end up having real use cases where the app is truly useful / interesting for them, to understand what should most urgently be improved etc.
Actually a pretty interesting idea. What problems does it solve? Who is your ICP? What language do they use to describe their problem? Try to answer those questions and put it in your LP.
Right now your LP reads like a technical doc rather than a product’s page.
Human powered proof of humanity. Nothing on chain, no blockchains. Just DNS / SSL like decentralization. V0 is admittedly less decentralized as a POC (I control the registry and provider), but anyone can implement the protocol and make this truly decentralized.
Registry (even the current one) is meant to be government by multiple independent entities.
Shared before, didn't get much feedback. I've used AI extensively but very thoughtfully. This is very much not vibe coded.
I’m working on small agent harness at home for a personal assistant. In spirit it’s similar to OpenClaw or Hermes Agent but I’m mostly using it for learning about agent harnesses to get a better understanding of the ecosystem.
Overall it’s been a fun learning experience and I’m looking forward to some more of the hardware work I’ll need to jump into soon. I really want to get a more focused kitchen / cooking oriented voice assistant working. So far I have a few simple voice-to-timer settings done e.g. “set a 10 minute timer for the pasta” that tells me “ding! Pasta timer” when it goes off. You can set as many concurrent timers as you need with different names.
I need some better hardware before I try using the pi for full hands free while cooking. I’ve mostly been using a webapp on my phone but afaik you can’t easily wake word a phone on a web app without some real hacking.
Overall the projects been enjoyable, once you understand the basics of a harness it feels like there’s a lot of problems you can throw them at.
i'm working on something similar, not a full agent harness but an agentic workflow app so i can learn too. if you're interested in sharing it would be awesome to take a look. i can share my project too!
I'm finally fulfilling a childhood dream of restoring a Heathkit oscilloscope. I managed to nab a functioning IO-12 at the thrift store for $75!
Don't tell my husband that I spent more than $200 on parts and supplies for it.
I've wanted a Heathkit since I learned about them as a teenager, and this is the first one I've ever seen in the wild. The original owner left the date he assembled it and his callsign written on the inside! I looked him up and he died in 2013, but by sheer happenstance I'm restoring it 58 years to the day that he initially built it. I got super lucky with this unit because as far as I can tell, it's only been run a few hours in its entire life. I really only have to replace aged components because they're physically breaking down, I expect the thing will outlive me once I'm done with it. Can't wait to hand it off to a bewildered young EE in another half century.
It's very niche, but I have created a course for learning Cangjie 倉頡, which is a Chinese input system based on the visual appearance of characters (not necessarily etymologically correct). The advantage of this system is you can type most characters via unique output (there are a few collisions where you need to pick) and you do not need to pick the character from a list. This is particular useful if you work with specialized texts in Chinese.
You can find the tool at https://www.cangjieworkbook.com/ and there is a free demo linked inside. It should work on desktop and mobile web browsers.
I checked my analytics recently and over 100 people have 100+ day streaks which kind of blows my mind!
I released custom player puzzles which has been a lot of fun! I’ve gotten dozens of submissions that I’m working through. People are submitting really clever and interesting puzzles. It’s fun to get to solve puzzles I didn’t make myself! There’s more I want to do here (featured puzzles, categories, etc.)
I think I’ve also tracked down an issue that was causing the game to crash on older iPhones. I’m having playtesters run through it now and hope to deploy tomorrow. (Switching some positioning rules from CSS transforms to SVG coordinates)
I recently made some puzzle brainstorming tools using the Datamuse API which have been very helpful for brainstorming words related to a theme.
I’m starting to debate some monetized features. So far everything is free but it would be nice if my wife and I could dedicate more time to this. If I could get a few thousand dollars a month in subscriptions my wife could quit her job and focus more on puzzle creation and improving the game. If you play and have ideas for features you pay for I’d love to hear them!
I’m working on a tensor computing language/compiler called i with a simple explicit scheduling model (loop splitting, loop ordering, input “staging”). These mechanisms alone are enough to express complex algorithms like FlashAttention, generating target code with techniques like loop fusion, minimized intermediate allocations, and “online” reductions.
Right now there is a runtime and compiler targeting C, written in dependency-free Rust, and a minimal Python frontend. The project is very much proof-of-concept stage so not yet fast. Working on a CUDA backend now.
The goal is to enable automatic discovery of FlashAttention-style optimizations which is not feasible with current compilers.
Very open to feedback/discussion from anybody interested in or knowledgeable about tensor compilers!
My wife and I are working on a math/science/CS-inspired jewelry business.
We try to create pieces that stand on their own aesthetically but have a hidden meaning. We currently have two styles: lambda calculus based pieces (we depict the lambda/Tromp diagram) where we have Y-Combinator earrings (well, strictly speaking they are one beta reduction away from Y-combinator. Aesthetic oblige) and a pendant depicting a lambda expression computing Graham's number. The other style is quantum computing circuits, based on quantum computing research my brother (a physics professor) is doing: a pendant that is actually a non-local controlled-NOT gate.
I wrote a tiny DSL to describe the jewelry pieces, and an interpreter to produce CAD files. We then either 3D print them or have them produced by lost-wax.
We are 200% out of our comfort zone (and love it): I know nothing of front end dev, payments, or anything like that. The diamond district in New York is a neighborhood we normally actively avoid, but if you are forced to go there it is fascinating (people examining diamonds on the corner of the street, others in fur coats in summer straight out of a mafia movie...), and especial marketing. Jewelry is a completely saturated business (luckily we are not doing this to pay the rent); we think we have a unique angle, but we are still figuring out the target audience (if there is one).
A contracts management platform for the events industry in Brazil. WhatsApp has turned communications chaotic between vendors and customers across the event's lifecycle. Both parties suffer from not having a single version of the truth about what is promised to the event. The product helps in that sense.
A human capital platform that helps companies comply with Brazilian labor laws in regards to time control via punch clocks. It also helps managing contractors and freelancers.
Looking for a publisher to my first book "The Least You Must Know About Computers to be Free". A sci-fi technical novel about open hardware, FOSS, cryptography, AI and Bitcoin. It aims at teens and young adults.
Raising my two teenage children. (hardest project)
I'm building a P2P distributed computing mesh that runs in the browser. It's a TS library that provides a few things:
- A WS + WebRTC mesh
- A request/response protocol incentivizing the closest or most efficient peers to respond to requests
- A WASM environment ensuring deterministic execution and supporting contract composition
- Collateralization around responses, ensuring invalid responses have amortized negative value
- A consensus and UTXO layer, focused on low-latency, low-finality micropayments (for request incentive and collateral), using WASM compute as the weight metric
The idea came out of me wondering a few years ago why a multiplayer game couldn't simply be run on the player's machines without a central server. It has grown since, but the focus has remained on low-latency and log(N) state consensus (unlike a blockchain).
It's wrapped up as a single fetch() method, mostly mirroring the browser's native fetch(). There's a lot more I could say; I love working on it and discovering elegant solutions to the problems that pop up. I'm hoping to release a prototype in a few weeks/months. If you're interested in trying it out, let me know (joel at scaffold.io); I'd love to have some other eyes on it.
Stack based task manager with integrations with GitHub, Linear, and some others to manage and automatically update your immediate todo list, free while in beta (still very early beta)
Two months ago I went full time on my indie game after just under a year and a half of part time work. I’ve been prototyping in Godot for about 6 years now, and finally had a game that my business partner and I were really interested in and felt matched the current market desires. It’s cozy world builder, drawing inspiration for Sim City, Rollercoaster Tycoon, The Sims, with an aesthetic influence of Stardew Valley, Animal Crossing, and the like.
This was very much a passion project and an idea I’ve wanted to see alive for decades, and also let me explore some tech I wanted to get deeper on. I’m bullish on the the tighter integration of CPUs, GPU style cores, and shared memory. Our game, LocoMo, relies heavily of GPU processing of entities under the hood.
It’s such an untapped domain, and despite the consoles being more tightly integrated this generation, we’re still mostly using the horsepower for traditional AAA realism-focused graphics, as opposed to this whole new world of computation available.
Edit: Also, thank you! The game has evolved a ton over the last year and is really coming into its own stylistically, bit by bit.
4 years later and I'm still working on ntfy. Trying to make push notifications easy as pie. I would have never thought that it would blow up like this. It's still a lot of fun, and I've learned a lot. Thanks everyone for your support and for your amazing ideas and contributions. Open source is awesome. HN ist awesome. https://github.com/binwiederhier/ntfy
I've been thinking a lot about soul cultivation as a concept, and the general structure of the soul, and doing a bit of writing on the topic. I feel like this topic is surprisingly under-discussed and under-explored relative to how impactful it is. By soul I mean "the part of you that is an observer", in case this isn't clear. I think a lot of discourse gets caught up with metaphysical speculation instead of focusing on what is there and what is knowable.
Most recently I was also probing people about how they conceptualize of the soul, making my own drawings, and asking others for drawings. If you have a few minutes I would also be interested in seeing how you would draw a soul, given pen and paper or equivalent materials. It often feels like for a lot of people the concept of the soul gets comingled with very confusing definitions.
There's a general problem where certain concepts become so overloaded that just disambiguating and clarifying what is meant becomes a challenge. I will note that if your first thought or question is whether the soul is even real, you might be confused about the definition or we might be referring to different concepts.
I've been turning my Media Viewer into a complete local first media ecosystem for automated tagging, a media server, phone swiping, and a web version of the viewer so you can access it remotely. https://lowkeyviewer.com/
The thing Im most proud of though is just the viewer, its designed to just open all the images and videos in a folder, and then there is no UI except a right click context menu, the list is a grid or a masonry layout that uses 100% of the space for the images/video so you can just navigate them. It adds anything you open to a local sqlite db so you can tag things if you want optionally. Also control modes that make sense for either a mouse or a laptop trackpad.
Yeah, also VR devices. Right now im mostly focused on getting the media server depdendency management and install process more user friendly, it works, but can require a little trouble shooting to get everything working.
A small thing I've been building as an antidote to doomscrolling. Open a new tab and see a public domain artwork from a real museum: https://toregard.art
Mostly I wanted more art and colour in my workday - something to look at, learn through and draw inspiration from in the moments between meetings and code. You can create an account to save your favourites and curate your own gallery. Just released collections that you can make public.
Art from: The Metropolitan Museum of Art. Art Institute of Chicago. Rijksmuseum. Cleveland Museum of Art.
My wife and I continue to work on Uruky [1], a simpler Kagi alternative, based in the EU.
Last month we launched image search (got out of beta this month), added our own index and crawler (via Uruky Site Search [2]), and reached 100 monthly active accounts (we’ve passed 150 now)! You can also see a privacy-focused independent blogger wrote about us [3]!!
You can check out the main differences between Uruky and Kagi, DuckDuckGo, SearXNG, etc. in the footer (right side), but one huge difference is that with Uruky, after being a paying customer for 12 months, you can download a copy of the source code (licensed as BUSL into AGPLv3 in 2 years — a suggestion made here in HN)!
You can also now get a free trial for 2 hours when you signup if you pass a proof-of-work captcha (another suggestion made here on HN, and it uses a local Altcha).
Our main challenge continues to be discoverability and outreach because we want to do it ethically. Ideas are welcome! We’ve been sponsoring open source projects, open source maintainers, and indie, small-web, and privacy-related websites and applications.
Feature-wise, for June we’ve already added a ton of personalization and privacy-increasing features like URL rewrites, cash-by-mail payments, and anonymous vouchers! Upcoming is partnering with ProxyStore to sell vouchers (we’re currently in talks for this), so you can buy vouchers with XMR/Monero or other cryptocurrencies. Then we’ll be looking into increasing our own index, focused on indie/small web.
Oh, wow, thanks for sharing, I wasn’t aware of that post! We’ve tried to reach out to European Alternetives before, but never got a reply, unfortunately.
Thank you so much! We would definitely love to have that happen, too! We couldn’t have imagined we’d get to 100 monthly active accounts so soon (and now past 150), but we’d need at least an order of magnitude more in order to have it be sustainable as a full time business for us.
That being said, it definitely looks possible, so we’re excited! As it stands, it’s already sustainable part-time and can go long-term.
I recently became a dad, and right now the only way my 30-day-old will sleep is with the sound of our kitchen range hood, so I built a small one pager that mimics white noise, womb sounds and our range hood. I hope I don't jinx this but works good so far.
I made a book, Simple Machines Made Simple, and I got about 11k copies shipped to my house about two weeks ago. I'm now trying to fix all the books and get them shipped out. They are books with little mini demos in them, and about 80% of the books need some type of rework. So it's going to be a long few months.
I also made Computer Engineering for Babies which I've posted about on here a couple times before.
I’m working on
https://creditcardchecklist.com
It lets you keep track of your credit cards and which perks you have used and when the annual fee is going to hit. I often forget to use up the perk before it expires. You don’t even need an account buts you get notified if you make one. Also it’s free!
I also am working on https://trypixie.com - a way to employee your kids legally. It gets money into their Roth and saves you taxable income all while teaching them about working.
Mainly https://www.vaava.app/ is a baby tracking/logging app I originally built for myself, now available on both app stores. All the user generated data is stored only on device and is transferred in local network to users who you have paired the app with. There is 0 behavioural analytics, even the crashlytics are 100% optional.
There is a couple of semi-unique features; you can use your voice to dictate and generate events (feeding, sleep etc), you can also scan documents for growth measurements.
You don't need user account to use it, there is no subscription, the paid features are available behind a single purchase for lifetime. Still, like 90% of the features are available for free.
Also
https://www.athilio.com/ privacy focused, highly customisable personal data analytics for your Oura, Garmin, Polar and Apple Health (ios port coming soon). Of course there is couple of AI features (with a single switch to turn all off), originally those were built just so I would learn how to embed agents in sw products myself. The whole app was originally built for personal use to fix missing features in the manufacturers own platforms:
- Period over period comparisons (this month vs this month last year)
- Comparing different metrics
- Customizable graphs and other widgets
- And of course combining the manufacturers metrics (oura for sleep, garmin for training etc etc)
Existing solutions for this kind of software seem to have focus on social (strava), or coaching (training peaks), or they are just straight up crazy expensive with their paid tier (both tp and strava for example).
Thanks! Yeh focusing on privacy is good differentiator, large established players just cant really compete in that area in a similar manner. It also reduces operational load from myself when I dont hoard user data. And of course the customer gets a service that respects their privacy. But when focusing on privacy there needs to be adjustments and compromises on UX and such in some areas, but you got to so say no to somethings when sticking to your values!
Recently started some agentic features for paid version, and this lead to a side project https://eatmydata.ai - a question-to-sql-to-dashboard builder, where data doesn't get exposed to AI (with bundled in-browser SQLite vector search, NER and many other features).
At one point I got really annoyed at how difficult it was to find the best supplement for the money, so I built https://suppvalue.com/
It's pretty simple: just search for the vitamin/mineral/supplement you want, and it displays them all ranked by the most amount of that supplement per dollar.
Multivitamins and Omega 3s work a little different, and protein powders are grams of protein per dollar, but that's the gist. Anyway, the affiliate link isn't even set up yet, but maybe some people could find this useful in their personal lives. Open to feedback!
I am making Cargo for C. I have 3/4 of a working demo; the tool can build itself, including some non-trivial dependencies which I've ported to build natively with the tool (instead of wrapping their Make or CMake or whatever).
The pitch: It's insane that we have to pull in Python or Lua to build C code. CMake is an abomination against god that has become usable in spite of itself. Zig cc is proof that this entire ecosystem is an embarrassment. My tool gives C projects a TOML manifest, and builds scripts written in C and JIT compiled by the tool. Now, you can write build scripts in the language itself, pull in dependencies you wanted to use anyway.
It also provides a stable ABI. There's an HTTP-backed index and a Git-backed index. And it generally does the same thing for C that, say,
Bun did for JS/TS. You'll be able to run C files from source and have the entire ecosystem available. You'll be able to trivially generate single file static binaries, or dynamically link to an older glibc without arcane tricks. It will fix C.
I'm also still working on my "what if we wrote a real standard library for C"; I added some feedback I got from the release.
Coming soon is a full automated training system to "certify" people to time events.
It'll spin up a VM with our timing software and an emulator of the hardware of your chosing and you kind of play a game to get certified (you deal with real radio traffic, real world like scenarios where shit goes wrong)... This way we don't have to train people AT events from zero.
Working on my version of Dynamicland. Today I got this small thing working where I can now live-edit the behaviour of the editor script, see https://www.youtube.com/shorts/ZjxPIv-XwoU
I'm working on a proposal for C++29 to extend `std::execution` by introducing a type-erased sender (P4223 https://wg21.link/p4223).
I discovered this week, while the paper was being reviewed by SG1, that I've accidentally stumbled into tackling a rather important problem. Senders as shipped in C++26 can really only express the async equivalent of inline functions because, except for `task`, all the standard senders fully encode the shape of their computation in their type. With something like the `function` I'm proposing, you can use senders to express async algorithms that are separately compiled, just like sync functions.
If the feature lands in a shape similar to what I've proposed in P4223R0, then I think an obvious extension is to modify the core language to support a newer kind of "coroutine" that allows you to define a sender with imperative code. My vision here is that we act on the observation that `std::execution` is a language feature implemented in the library by teaching the compiler how to turn imperative C++ with `co_await`s sprinkled through it into the corresponding sender and operation state. I think this would open the door to putting async object lifetime analysis and optimization where it belongs (in the compiler) without the overheads and inconveniences of C++20 coroutines. It would even let us apply the inliner to async functions when the compiler can see the body of an async callee, not just its declaration.
For now, my next step is to write P4223R1 to incorporate feedback from this past week's WG21 meeting, and continue exploring the design space around specifying sender attributes for a `function`—I'm thinking the current approach of specifying query function signatures needs to be replaced with a key-value object like receiver environments, but I'm not sure yet what consequences that change would have on the design.
A folding python code plugin for neovim. It allows me to check faster what a file is doing by only looking at the function signatures and the first docstring line. Then open the docstring completely.
I use tab and shift-tab to fold or unfold.
https://codeberg.org/gixita/nvim_python_fold
awesome, your notes and music theory apps are very close to two of my hobby projects as well, the main difference is that my music app is guitar-centric
unfortunately, I did not have the time to pursue them. good luck to you!
I left my startup Veloa [1] to die for probably two years as I've just been too busy and I'm finally back into it with AI helping me to fix a load of things, including upgrading all packages to the React Native New Architecture™ which is really nice.
I suspect I'll be alpha launching at the start of July at this rate! I wonder if anyone wants a Peloton meets Twitch with open hardware (Wahoo Kicker etc.) but I think it's a fun idea and I just love that it'll be one of the most complicated React Native apps in all of existence! Who knows it might eventually become Mario Kart on a bike or something else, I have a million feature ideas!
In contrast to most other libraries in this space, it knows about Laravel conventions and its ecosystem, and tries to infer as much as possible without explicit annotations, using type hints and doc comments and static analysis.
Where automatic inference isn't possible, you can use targeted attributes to annotate your route handlers.
The result is written as an OpenAPI specification, and (by default) served using a Scalar playground.
We also include a linter command that checks whether all API routes are documented properly, typed correctly, and following your style - this also supports dirty files only, reporting coverage in standard formats, and even automatically fixing some classes of errors!
I've also written tooling to regularly test the library against a set of open source Laravel applications with a published OpenAPI spec. This has proven very solid in detecting improvements and regressions, so much so that I can delegate new features to an AI agent and rest confident that it can verify on its own whether a change breaks anything.
I fell down the rabbit hole of voice transcription about a year ago, always had a love for utilising fine tuned LLMs so have put two and two together and built https://whistle-enterprise.com. The biggest challenge being it all running on CPU with the target device being your low to mid spec office laptop that's a few years old (I5, 8gb RAM). All nicely packaged together in a single completely offline selfcontained app that you just install and run (no environment setups, packages to download, models to download etc).
One of the hardest parts I've found is the diarisation (who said what) side of things. Trying to tune this and have it working in a way that doesn't absolutely grind the laptop to a halt or take forever to complete has been _hard_ but also extremely rewarding.
Another part has been the fine tuning side of the Phi-4 model, I'm on version 10 now, getting that pipeline down was a journey in itself, but I've got some great results. I wrote a bit about it in a comment here - https://news.ycombinator.com/item?id=48385906#48389625
I absolutely love working on this, I still wake up and the first thing I think about is voice transcription pipelines (sad I know), but I'm excited to see how much further performance and utility I can squeeze out.
Are we the same person?? Haha, this is super close to the scope of work I've been doing and just released. Different objectives though. It sounds like yours prioritizes legacy hardware and is more enterprise focused (good for you!). Mine is focused more on long-term project tracking and program management for solo developers or solo builders.
I also got hammered when it came to diarization... I found that the biggest pain was creating an appropriate environment for cross-compatibility of the different backends required for whisper/faster-whisper/pyannote. It's especially challenging on older systems, so major kudos for giving it a shot.
Have you gotten any traction yet from the community?
When I was working at amazon (left May 8) working on agents was all the rage. Combined with initiatives that set goals for nearly all services to have a MCP built and available by the end of the year agents will be even more emphasized in the future.
However what happens when you actually build and launch your agent is customers try it, do some initial runs and then go ask your manager to automate their use case. That is why I have been building https://toolscaled.com/ The goal being work through your problem space using agentic chat (like Claude Desktop) and then at the end convert it to a workflow. I am pretty close to launching and have been testing. If you're interested send me an email! (if you do sign up just fyi its still in beta so YMMV.
I went on sabbatical to fulfill my dream project - consolidating 30 years of training logs that span everything from paper and Excel spreadsheets to various fitness services and devices I used. I'm enjoying the technical challenges involved - digitizing paper hand written logs using OCR / visual generative models, navigating the maze of athletic metrics with their crazy trademarked names and SOTA multidimensional models. Having incredible fun building AI coaches: agents ranging in character from Al Pacino in Any Given Sunday to the coach from my teenage years, utilizing ICL / PFN model-based predictions, ... and more.
The best part is the rush of memories while ingesting my own history - photos and recordings I completely forgot, as well as navigating data shared by friends - records they didn't see in years because the original applications they used no longer exist or won't run on their current HW.
Writing a sci-fi book, and it’s finally fleshed out to a point that it’s slightly readable, though more like a script.
As this is all in markdown in one folder, with some text files as lists, I started writing a simple web project to keep track of it all.
Created a website for local community information, services, etc. Something that removes the reliance upon social media for this.
It’s static, making hosting cheap, and in most cases free as it can run on vercel with contentful for blogs and github to store it.
I’m sure there’s another project like it, but it’s always good to practice making something myself.
I was asked to show something for STEM week at my daughter’s school. Started a project to demonstrate AÍ to children. Uses very small training data set, you can write the beginning of a one sentence story, it can keep track of a configurable number of tokens, generates a given number of them. Allows taking steps through the process.
This is the only one I’m vibe coding because I’m not entirely sure on how to implement it, plus I’ve added multiple models.
Have been working on a girlguiding page specifically for the division my wife volunteers with, as they relied upon the older district site that’s woefully lacking. Stuck waiting for approval.
I don’t even have it on GitHub yet, and I’ve been refining it little by little.
Targeting at age 10, late primary school. It doesn’t go deep diving, it’s a light touch, and I think it needs more explanation.
I am a big fan of computer science education for kids that uses a light touch, or even completely offline - things like Computer Engineering for Babies, Turing Tumble, or any game that introduces basic concepts with intuition as opposed to showing the final product of decades of abstraction.
Share a single google doc with your agent (w/o oauth mess)
I needed a way to share a single google doc/sheet with my agent
I didn’t want to go through the heavy oauth gcp project so I’m using disposable email addresses as the work around
2. Agents.sh
I get so many cold emails that could be better if I tell the bots how to talk to and reach me. What’s top of mind for me, how I like to be pitched, etc.
So I made a mini platform to put up text/md files. Then added all the perms fun - pw support, expiration, every url has an inbox. Aimed at agents only.
Do you love weird clocks like I do? Check out my https://steampunkclock.com! That's weird for you - based on the spirograph concept. There are actually three clocks in there; you can get to the others directly at https://mobiusclock.com and the most useful one, https://dayspiral.com that shows your local time of sunrise and sunset, all with a 12-hour clock face. How did I cram 24 hours of info into a 12 hour clockface, you ask? I used a 2-turn spiral!
Tip, you can rotate and zoom the steampunk clock - try zooming in on the gears! Click the "Show interface" at lower left to see all the options or switch clocks.
In the last few weeks I've been working on a couple of custom data transformation and chart visualization DSLs that pair well together, as you can see here:
Full LSP that is built into the binaries and compile to CLI and WASM. Full LSP support in the Monaco text editor npm packages that use the same static analysis crate as the VS Code LSP client.
Native GIS with GeoJSON and Shapefile support for both languages.
A tide flag. As in, a mechanical device that turns a weather-vane-like flag that moves with the ebb and flow. It has to be powered by the tide, and must be able to withstand the elements. And, must look cool.
Then, I will slap an ESP32 & z-wave on it :D secretly to feed my Home Assistant. :D
Working on my simple, frictionless journaling tool, that focuses on simplicity, and being lightweight, but still quite powerful.
And I plan to have more features like: time tracking, kanban, read later links, scripting etc, in the same simple interface.
The important part is, data is and will be stored in a single text file. No online interaction.
Right now you can
- Take notes
- Create to-do/mark them done
- Organize notes/todo in projects or tags
- Inline calculation using fend [1]
- Powerful undo/redo
- Archive notes that are not needed
The idea is a project independent knowledge base so agents stop figuring out the same API quirks again and again and instead write down what was solved once. Agents submit via API, vote on each other's entries, anyone can read on the site.
Some thousand entries so far, mostly seeded by my own agents, dev infra stuff and so on. Some of it is real problems i hit in my own projects.
Speeding up C/C++ compiler bootstrapping, starting at a single binary of <1KB. Currently it gets to GCC 4.7 in 2-3 minutes on x86_64 and aarch64: https://github.com/haampie/shpack
I’ve been playing D&D for a few years with friends, and over time we’ve built a rich world..full of contradictions because I can’t remember half of the improv I do as DM.
I built https://loracle.app to automatically build a wiki of various entities in our campaign and enable rag q&a with an ai assistant about specific world facts.
I'm working on rookery, "A PGP-first, self-hostable email server that comes with a web mail client and modern standards out-of-the-box.": https://github.com/oleblaesing/rookery
If you are a privacy minded person like me, you got only a few options when it comes to email with some ease of use: ProtonMail, Tuta etc. Rather than becoming a new competitor to those, I want to give the power of the decentralized email standard back into the users hand. Everyone with a bit of self-hosting/Linux knowledge, can setup their instances for themselves and their friends/family/business.
Bootstrapped that heavy via vibe coding. Used it to learn a lot about the email standard and related technology. However, I find it too valuable to just be a learning project. Now I'm cleaning it up to get in control again and to proof its secureness by rewriting/restructuring/refactoring line by line.
Protonmail (and I guess all others including Gmail, except Fastmail) has a nasty feature, where the sender can put an expiration date on emails and practically get a confirmation you received the email without you ever knowing you received the email.
If the expiration is for example one day, you might never see it.
To my knowledge, Protonmail does not even show information that the email has expiration. Nor can you access log of deletions.
This feature was used against me on a court trial.
I thought that applying AI on 1v1 competitive pokemon would be a fun and educational experience on POMDPs and trying out reward free models on a problem that would be classically treated as a RL problem. This was only possible thanks to a lot of foundational work from the open-source community and last year's competitive pokemon NeurIPS track https://pokeagent.github.io/track1.html - they laid out the plugins to connect policy models to pokemon showdown for live play and evaluation.
I have already finished training the standard discriminative auto-regressive architectures by imitation learning on player actions, compared it with previous baselines set in the study. I want to match or exceed the best prior model Kakuna @ 142M params, but in a limited budget. JEPA style world models are showing promise when conditioned on actions [1] and frontier research on JEPA with trajectory straightening [2] shows that improved planning is natural outcome of improved representations.
If any good research ideas come out of this exploration then even better!
I made a simple wee Konbini compass* app for whenever I'm ambling around Tokyo so I no longer have to go through the (_so heavy_) process of opening a map app, changing to jp keyboard and typing `konbini` to reliably find something.
Instead it's just a compass face, with brand and distance.
It's free for basic konbini hunting (has probably most of the stored in Japan), and is offline first. So maybe it's useful to other folk?? (I hope so!)
There's some stamp-book style collection things in there too, but that's more fun, and a few `PRO` gated things (more stats, filtering... soon some other store types). But none of it required for finding the next Biru or coffee.
I'm working on Totem (https://totemkb.com), a collaborative knowledge management system built entirely in Rust without any HTML or web-tech. Currently supporting Windows, MacOS, Ubuntu, and iOS (although the iOS build is currently in review).
Although the goal is to build an efficient all-in-one-workspace, I wouldn't run a company on it just yet. Right now I'm looking for early adopters who don't mind the rough edges and relatively minimal feature set.
The Ubuntu DDoS last month inspired to me make a better apt cache service. It's looking like I'll be cutting a 1.0 release later this week (after extensive testing in my environment).
The primary features I'm focusing on are: It can serve packages if the upstream is unavailable or corrupt, it is reliable.
It snapshots and verifies the cache, and then only updates the snapshot when: a new metadata is available, it has downloaded updated packages that you commonly request, all the metadata checks out.
It's been running in my environment with ~200 clients, ~50 of them get reinstalled every day and then do a full set of package updates and installs. Been working great, even when I shut down Internet access while doing it.
It's like the love child of Polytopia and Conductor. As many other agent management platforms/harnesses, Viberia has been building itself, and honestly this has been too much fun to stop.
I'm working on a multiplayer stock trading game that was inspired by all my favorite board games. https://www.spellfolio.com/
It's a web-based game for 1-8 players, features a tutorial and bots, plays like a board game, and operates with economy, bluffing, forward-planning, risk-taking, course-correcting mechanics.
Play as an amateur psychic navigating a fictional stock market. Receive premonitions, call in your wizard friend, navigate dividends & earnings releases, and chase the glamorous annual investor awards.
I was looking at matmul algorithms and their hardware implementations (to start a hardware startup) and I saw that the naive O(n^3) version is what everyone uses.
It provides digital loyalty cards for cafés (think of an electronic version of paper stamp cards). However with zero apps or customer signup, instead loyalty passes go straight into Apple and Google wallets.
It’s written in Ruby on Rails, which I’m enjoying learning. Still a bit rough around the edges, though it’s free for now so I’d be grateful for your feedback.
Interesting idea! I'm keen to try it out but adding a pass to my android account fails with 'This card is for test use only. Ask your administrator to grant you access.'. There is no contact information on the website but you can reach out through the Beanback account with the same name.
I'm working on a general repo shape/structure linter (language agnostic)[0] - the idea is to enforce things like directory structure, existence of various files (LICENCE, etc.), file naming patterns, jsonpath + schema over json/yaml/toml, absence of potentially malicious unicode. It comes with rule bundles for various languages/presets which can be combined and extended. A goal is for it to be very fast, and useable on huge monorepos. I noticed myself having to add various forms of validation/scripts when coding using AI, and decided to build a reusable, fast tool for this purpose instead of rolling validation scripts for each project.
Choose your genres (and more filters) and get auto updating playlists from your music library. Also just added a new feature - select a few (or one) playlists and create a "mirror", with tracks belonging to the artists of your selected playlists.
tsz is my main side project. Trying to learn from this for how to make software in fully automated fashion. tsz's goal is to match tsc (tsgo) but perform better. I am not passing all tsc's own test cases and working towards making it work on complex type packages.
Texcraft is an attempt to re-implement TeX with a modular/LLVM software architecture. These UIs take the same code in Texcraft that has identical behavior to TeX, and illustrates some of the inner workings of TeX. The lig/kern one is missing instructions :)
I have also found at least one bug in Knuth's TeX recently and am currently writing it up.
I'm maintaining a public dashboard that monitors the occupancy of public parking garages in my city (https://www.parkeergaragesdelft.nl). Last year the city council requested this information from the municipality but it's still not delivered. I just finished a redesign that includes references to the relevant city council discussions that aren't settled due to missing data.
Another project is https://www.beeldplek.nl, a timelapse platform powered by community photos. The idea is to place a mount and QR code at fixed viewpoints around the neighbourhood. People scan, photograph the view, optionally add their name, and submit. The infrastructure is up and running but getting the permit to place the mount has been a slow process so far.
Launching https://leafy.you soon - a general-purpose in-browser assistant. Compiles reports, fills forms, interfaces with 900+ services you own.
More broadly, I spent ages developing a self-solving Kanban for mid-sized companies and enterprises (https://kodan.dev) - controllable autonomy level, multiplayer support, remote coding server, works on multirepo projects, mobile support, previews, and more. The pain exists, but it's pretty hard to break the integration barrier.
So I'm spinning the feature I used the most into a separate, easy-to-understand product for now.
I've been working on getting another major release out for my side project Materia[0], hopefully by or on the solstice. Materia is a GitOps continuous delivery tool for Podman quadlets: it handles installing/removing/updating files, installing secrets, restarting services and dependencies, rolling back failed updates, and more. I've been working on this for almost two years now and am pretty happy with how its coming along and the growing user base. Plus it's been a fun excuse to try out some new things, like creating a Varlink API or different CI/CD setups.
Besides Materia itself I've been bouncing around some other ideas for the Podman quadlet ecosystem. The biggest one is Athanor[1], which re-uses the same plan-execute system and primitives provided by Materia to backup Podman volumes.
I've also been kicking around a clustering system for Podman volumes called Firmament that uses Serf and the built-in Podman import/export API to move volumes to where they need to be in the cluster. But this will probably wait until Materia hits 1.0 before I really start putting effort into it. Or if my homelab needs something like it, whichever comes first :).
Still working on my web site quality assurance software. Getting close to private beta (hopefully very soon). Back end is written in Java and built with Javalin and Jsoup and persisted to PostgreSQL. Front end is JS/React. My back end crawls the designated website and for each page runs a number of analyzers to assess the quality across the following categories: accessibility, content quality (spelling, missing spaces between words, etc), performance, security, content policy (required phrases and forbidden phrases), site integrity, and seo. Each site can be configured to have its own custom dictionary (for spell checking). It's been a lot of fun and I'm looking forward to taking the wraps off it.
Still working on my daily word association game 'Noun Sense'. Had quite some people from the UK complaining that they were scoring lower with the British variations of words like colour or behaviour. Going to rerun the data crunching and combine the most common ones so the scores will be more "fair"
I started wearing glasses about a year ago, and I really struggled to find frames that fit well. So, I'm learning CAD so I can 3d-print my own set of frames.
My first goal is to 3d-print frames for reading glasses that I can wear in bed while I read. This way, if I fall asleep with them on and break them, I can just print new frames and pop the lenses in.
I'm continuing to expand my own deep learning library [1] built with numpy-primitives to support LLM post-training techniques like supervised fine-tuning (SFT) and reinforcement learning with GRPO. It's a good learning experience to work without all the high-level abstractions to "build a wheel" and "use that wheel to build a car".
I'm also looking into coding harness self-improvement [2]. An inner LLM (raw LLM request) + harness solves coding tasks, an outer agent like Claude or Codex that proposes harness changes. I experimented with many things in the past few months that made me realize this self-improvement thing that everyone is talking about is just an experiment design problem. I wrote about it here [3]. I'm continuing to improve the infra around the self-improvement loop, to increase signal-to-noise ratio per experiment. I'm also generalizing the infra to expand beyond terminal bench tasks and to collect some data across different models (harness-bound vs model-bound).
I have been working on it for a few years. Unfortunately it is currently put on pause, possibly for the entire 2026, but it will launch, and it will be a really useful tool for those that need something like this. I am very hopeful
Lately i have been working on creator focussed tool, essentially delivering seamless storage across all of their drives, auto curated profiles, offline backups and full encryption works across web & desktop with mobile as thin client
Everyone is working on personal agents but their identity model is wrong. They act as you, risk your reputation, your data and more. Nym is a personal agent that has (and can make) all of its own accounts and only gets selective read only access to yours.
The goal is to make reliable agents that are able to operate safely in the world to help you do what you want, without exposing your accounts and personal identity to potential harms.
For instance nyms have their own e-mail addresses at nym-mail.com, you can CC them on chains and they can only respond to people on that chain with a lease of 5 days, or permanently for people you specifically add.
Predicting human IQ through someone's social media posts and written responses to text with AI models using all our proprietary IQ data at https://www.riotiq.com
It's full featured with agent loop, gets work done locally.
It's open-source and Swift-based, we built our own inferencing engine since every other engine is based on Python. Check us out - https://github.com/osaurus-ai/osaurus
- attempting to vibe-engineer a new JS engine to replace the dying Duktape (almost done!)
- native library to build TUI apps without the 20-60MB bloat of node/bun/go
- terminal coding agent harness focused on orchestration/loops
- a small scripting language that looks like JSX but has signals and render optimizations built in
- open-source software and hardware smart doorbell for a community space
- teaching AI how to write games for the Nintendo Wii
- designing an arcade cabinet
All of this over the past 4-5 months. AI is allowing me to deploy my short attention span very effectively! This is more than all I’ve accomplished in the past five years.
I'm working on L1 blockchain that turns your hardware into a productive mining asset by leveraging my Rule 30 VDF construction as addressable but irreducible sequencer. The ZK proof system is recursive FRI-Binius and utilizes a binary field tower.
Yesterday, I finally achieved blockchain payload byte-count stability from block 4 and onwards. Today I'm pulling levers to reduce the payload size. Proof-of-everything, so no confirmations needed.
The basic idea is to make Regex-scans so fast/cheap that "a metric" can be anything numeric in the text and "tracing" is useless because you can just log (and filter) more things. Turns out Regex at >200GB/s solves a lot of problems.
Metric cardinality explosion is immediately a non-issue, histograms have arbitrary resolution, and you can get from histogram pixels back to the underlying logs. And no need to instrument everything thrice for logs, metrics and traces.
The next big feature I'm aiming for is needle-in-a-haystack searches. The data block headers support it already, but the scan engine doesn't yet use it.
It's a side-project from our consultancy work. We're two deep technologists and so far entertaining the notion that we're very bad at (product) sales. But we're trying to learn that now.
A tool that creates sandboxes (docker, podman, orbstack, seatbelt, tart, containerd, kata, firecracker) and then sets up an agent (claude, codex, gemini, aider, opencode) inside it with max permissiveness (no annoying permission prompts).
It creates its own copy of your workdir for the agent to play in, and then you pull changes out ala git diffs or commits.
$ yoloai new mybugfix . -a # launch default sandbox in . and also attach the terminal
# Work with the agent...
$ yoloai diff mybugfix # See what it did
$ yoloai apply mybugfix # Bring out commits and/or uncommitted changes.
$ yoloai destroy mybugfix
Basically every game server hosting provider bills monthly, but most players don't play all the time. So I'm building instalobby with a friend to provide to gamers on-demand hourly billed game servers.
We're starting with Valheim, but expanding to more games hopefully soon.
(If anybody wants to try we are offering $1 worth of credits to every new account)
I'm working on (yet another) git worktree multi agent development tool that just runs in any terminal. Supports Claude Code, Pi and Codex agents and provides a CLI that allows them to work together in a given worktree. Currently messing around with having the agent drive the app itself to record and caption screencasts. Fun project that is also my daily driver for agentic development at the day job. Idea was born out of using Conductor and similar tools but preferring to work in the terminal and still lean on my preferred tools like lazygit, neovim etc... https://github.com/bakedbean/workspacex
Working on my programming language. Goal is to perfect the interpreter's code embedding mechanism. I'm adding adding features to the language until it can self-host an ELF patcher, then I'll rewrite the ELF patcher I wrote in C in my language with a lot of enhancements.
I'm also hardening my development virtual machine system. Properly firewalling it so that it can reach WAN but not the host or the LAN.
I've been learning Basque and wanted to see a visualization of how the semantics move into different grammatical structures when translating between Basque and English/Spanish.
Under the hood it's using Stanford NLP to analyze the input then that analysis is given to Claude to generate the data structure needed to visualize the translation. It's really cool and maybe my favorite of the itch-scratchers I've built for myself over the years.
(Xingolak is Basque for "ribbons," a nod to the visualizing metaphor used in the UI.)
I’ve been building a plug-and-play controller to use motorized faders with ESPHome and other microcontrollers easily, called FaderBuddy.
It’s a small board with a ATtiny1616 and motor driver that mounts to the bottom of Behringer MF60T replacement faders and provides an I2C interface for reading the position, moving to a specific spot, and even setting up haptic detents, like a linear version of my SmartKnob project.
Perfect for making an intuitive smart light dimmer switch or a macropad.
Just need to find some time to finish making a proper video about it…
Mainly https://lumenfall.ai, which is OpenRouter for media models, with mock generations for testing and judge models for production model performance monitoring. We also have our own arena where we benchmark image, video and svg models.
As a side project I‘m building a multi agent harness that works across desktop and mobile and solves the issue of drowning in too many agent sessions for my own workflow. Hopefully I’ll open source it soon.
Reach out if you’d like to beta test it. (Email in my profile)
I've continued working on Eidetica, my decentralized database project. I recently added support for a client/server architecture so that it can be transparently run as a local daemon for background sync and sharing the local storage with multiple users. I've been making progress on integrating blob storage next, as well as scoping out WASM based "lenses" for handling decentralized version/schema updates. https://github.com/arcuru/eidetica
I've primarily been testing it by building out my AI tool chaz into an Eidetica-native AI Agent framework for decentralized Agent sessions. It's working surprisingly well, it maps pretty well onto the storage model and it's uncovering issues with Eidetica I need to fix (which was always my primary reason for building it anyways). https://github.com/arcuru/chaz
Separately I'm building OptiMap, a SIMD-accelerated hashmap repo that explores the design space for hashmaps and benchmarks different approaches. This is mostly for my own learning but I'll eventually turn into a blog post. https://github.com/arcuru/optimap
I know that there are already way too many markdown editors out there, but I think Kraa still offers something unique in this space (combination of minimal UI, plentiful features and some unique stuff like real-real-time chat).
A browser extension to export conversations from Teams. I initially needed a readily available tool, I was ready to pay a few bucks for it. Turns out there isn’t an alternative for me because existing ones require instance admin to enable this, Microsoft Graph API permission, or some other requirement which I could not fulfill. Then started vibe coding it. Once it started working, I thought “I’m sure that there are people out there who needs smth like this” and pushed to GitHub and extension stores of popular browsers. Now more than 15000 people use this.
https://github.com/gediz/teams-web-chat-exporter
I'm developing a tool that will help you easily delete your data from services. It scans the subject line and sender email address of the emails in your inbox and suggests an email draft to help you delete that service.
It's open source and self-hostable, with privacy and security as top priorities. I got the idea when Saymine.com was acquired by McAfee and became total bs...
This is my first project that I want to release to the public, and the official instance will be free to use. I'll try to keep costs low without sacrificing service quality, and I hope to keep the project afloat with donations because I believe everyone should have the right to easily remove their data, regardless of cost or technical expertise. I don't have anything to share yet because it's still in the early stages of development, but it's looking good so far.
i've been working on a personal finance app. it started out strictly tui (using ink) but i recently added a gui using electron. i still like the tui but i know it's not for everyone.
it's all free, open source, and local-first. you can get a hobbyist tier plaid account and sync your accounts, or use csvs. rules-based categorization, spending trends, FIRE/savings-rate health view, etc.
there's also an mcp server so you can hook it up to claude/cursor and just chat about your finances. and a "canvas" feature where you describe a financial question and an agent builds you a custom calculator for it (e.g. amortization, compounding, what-ifs).
honestly it has all the features i want so i'm not sure what's next. i have a few contributors, always welcoming more.
A way to access social media content read only without an account, with HTML, RSS/Atom and at some point ActivityPub probably. I will probably post here in a few weeks when PoC will up.
A complete desktop app for browsing and editing your Postgres, MySQL, SQLite data, creating beautiful dashboards, and soon designing automated workflows for repeat tasks.
I've kept a devlog of the last 10 months of building DB Pro, which has been the best way to bring users to the product. I'd highly recommend folks starting a devlog if they can.
I’m working on Peak Flow Meter Diary, a simple app to help people with asthma record peak flow readings more easily, then combine those records with environmental data to provide earlier warnings about possible triggers.
In the UK alone, around 7.2 million people have asthma. Globally, WHO estimates that asthma affected 363 million people in 2023 and caused 442,000 deaths.
Peak Flow Meter Diary is not meant to detect every possible trigger. It will not warn you if someone suddenly sprays perfume nearby, or if a dusty bag is opened in the same room. But it could help with risks that can realistically be monitored ahead of time, such as weather, pollen, pollution, cold air, storms, and similar factors.
The aim is to make daily tracking easier, show simple visual warnings and notifications, and make it easier to share useful records with clinicians.
I’m also trying to build it in a way that reduces paper, plastic, and electronic waste. If funding allows, I would like to make the project carbon-negative.
That is the bigger dream: to make a small example of how even modest start-up can think about environmental impact from the start, and use it as a practical showcase.
Feedback welcome, especially from anyone with asthma, clinicians, carers, or people who have worked on health tracking tools. By now I know that my kickstarter is not going anywhere, so I would value any input was the idea that bad, or lack of marketing and accessing appropriate groups etc. I think this community has a lot of experience so I would like someone to share what could have I done better. Do not be shy to tell me if you think idea was waste of time.
- Imagined job I want to do: Teach software from the ground up, with good illustrations.
- Side: https://peace.mk/ - Create my own automation framework, because I want to make it clear what infrastructure-as-code is going to do before/during/after you run it
- side-side: https://azriel.im/disposition - a diagram generator like graphviz, but supports markdown, to visualise what infrastructure exists / will exist / will be deleted / is in progress when automation is running
Improving my focus. Using less AI at work and reading more. Less screen time and more physical things. Spending a lot of time with friends and being outdoors, long distance running and finding more meaning in life
I found myself ditching Emacs for iTerm when running TUIs inside tmux on remote hosts. I'm trying to replicate how good tmux is inside iTerm, but it's tough. wip.
I'm working on GPS tools to help support my current contract. I've found there are no good tools for tracing a route on a map and having a mobile device think it's traveling that route. I'm not just talking GPS coordinates, but speed, direction, motion detection, precise timing between waypoints, being able to play these trips forward and backward, step by step, etc. I'm talking time-travel debugging for GPS applications.
It's still early days, but I have a demo running. Unfortunately, it requires using a drop-in replacement library for CoreLocation. That alone may make it infeasible.
I am building a e-com tracker that help users to Track competitor pricing, product launches, promotions, and stock changes automatically. Get alerts the moment the market moves.
I can't say what the app does specifically, but I can talk about the technical content and tool chain. It incorporates machine vision to detect human movement. It can connect via video call to other instances of the app. It's implemented mostly in Flutter/Dart. It has some things it does on Android exclusively, for reasons. Most recently I've been adding Android AppFunctions so I'm ready for the on device agents in Android 17.
I am working on a linter for EPUBs for issues not covered by EPUBCheck/Ace by DAISY.
The goals: speed, accuracy of diagnostics (e.g. exact problem start/end position in the XHTML), clear issue descriptions including references, utilizing SARIF.
I've been building this little animation tool I’ve wanted for years, inspired by one of Bret Victor’s demos from his talk “Inventing on Principle”. I wrote about it here [1].
Basically, instead of setting keyframes and tweens, you perform animations in real time: select a layer, manipulate its properties and the timeline records every frame.
No install, no account needed. It's like Excalidraw, for animation.
I still have some ideas and hope to keep evolving it. And I hope other people find it useful for making neat videos.
CS Final Year Project: Multi-vendor Food Delivery System
2 person team and we didn't do anything manually beside creating the entity relationship, and briefly documenting the overall design system we wanted. Now we are sitting on an almost 80% completed system with 6 more months in hand.
I made a little game about popping animals (mankind’s oldest enemy?) and when you fail, a seagull is sick. The animals you pop go into your menagerie so they are ok (they also aren’t real). Right now it has footballs and such to play along with a current tournament but don’t mention the real name or Apple will reject it again. See: https://animalpopper.com
Multi Agent setup to tackle complex problems using the diversity of multiple LLMs. All for personal use but finding it very useful especially what I call the 'all angles' where it runs multiple strategies parallel then a judge agent presents summary including a view on how the strategies agreed and diverge from one another.
My mother had a stroke a little over a month ago and I don’t live close by. I went in search of a wellness product that would let me know how she’s doing without her feeling I’m prying too much. I didn’t find one, so now I’m trying to build it. I’m also working on moving closer.
Have you looked at Home Assistant (HA) as your consolidating platform?
I helped set up one in a nursery home with mmWave motion, temp, humidity, switches, electricity flow, etc. If they want to, they can control water faucets, sinks, flushing WC, ceiling fans, heat/cool, plugs and switches.
The beauty is that you just need to find a device with either existing comms "protocol" (e.g., RESTful APIs, MQTT, Zigbee, Z-Wave, BT, BLE, Metter, Wi-Fi) that HA understands, or get one of the many community solutions for others (e.g., LoRaWA, 433MHz, modbus).
This week we're working on a modular WASM build to allow others to embed Tritium directly into their own platforms. AI native startup law firms love it.
I'm still working on a self-hosted search service called Hister with the goal to reduce dependence on online search engines.
Hister is a full text indexer for websites and local files which automatically saves all the visited pages rendered by your browser. It provides offline result previews, a flexible web (and terminal) search interface & query language to explore saved content with ease or quickly fall back to traditional search engines.
I've been using it for a few months and as my local index is growing I can avoid opening google/duckduckgo/kagi - and even websites listed in results - more and more frequently.
The initial reception is overwhelmingly positive with already more than 30 contributors and hundreds of contributions - perhaps you can find it useful as well. (Or at least have some constructive criticism =])
Trying to polish a bunch of my projects I've worked on over the years but never had the cojones to release to the wider world:
Hallways (https://hallways.lonnycorp.com) - a web browser for 3D spaces, where instead of hyperlinks you have portals that you can seamlessly walk through
LonnyMQ (https://lonnymq.lonnycorp.com) - a performant, production-ready TS PostgreSQL message queue library and accompanying blog post that walks through its design (of which I'm quite proud of)
Been working on optimizing CLIs for cheap agent use and figuring out how to build integrated agentic features that aren’t a full chat interface. Agent UX optimization is kind of fun! Much more testable than human UX, though it’ll be interesting to see how much generalizes across model families.
Been doing this to improve/simplify the grammar for Trilogy[1], a streamlined SQL language - I’ve been planning a redo of one feature and it’s nice to be able to rapidly get feedback on various syntax success rates. Also been particularly useful to optimize error messages, which should help people too.
I have two projects that I'm hoping to release in the months ahead. These are both pretty pointless but fun projects.
One is a TRS-80 Model I emulator in JavaScript called Trash80. About 10 months ago I started this project just for fun while experimenting with what now seems to be called agentic loops. I got things working pretty well with the Z80 passing the ZEXALL suite and a lot of real TRS-80 software running fine. It sat for months untouched before I decided it is worth releasing and recently started it up again.
I didn't want to release it without a ROM, so I rigged up some agents to build a clean-room style L2 ROM w/ a fairly complete BASIC and even readline-style control commands, history, and a proper cursor. That went very well, but the agents cheated on floating point and implemented some weird Q5.2 like-thing. I told them to fix it, but I guess I didn't give clear enough instructions because they replaced it with a BCD hybrid monstrosity instead of proper floating point. The proper floating point is now underway, but I'm mostly using excess Codex credits before they expire, so it's only moving forward when I have credits I don't need.
I also built a silly ASCII fractal browser in Z80 assembly so that I can ship with a virtual disk that has software on it. The emulator works in the browser and the terminal. Unicode sextant block graphics map very well to TRS-80 Model I semigraphiccs/squots, so it really does run everything very well in the terminal, even games. I also added a line-mode for line-based applications, so you can use a readline-like interface and feel like it's native terminal app as well, though that has some issues I need to fix. And of course, you can shebang TRS-80 BASIC files and run them through the emulator too.
Another project was a demo of chromesthesia, a form of synesthesia where sounds trigger experiences of color. I thought it was done and ready to release, but then I had a new idea. The visualization while cool, was kind of boring. I decided to replace it with an attempt at a semi-physically accurate cymatics simulation with artificial coloring based on chromesthesia. Cymatics is the practice of making sounds visible by vibrating a surface, such as a plate with sand on it. As the sound changes, symmetrically interesting patterns form and evolve. I've got something working now with wave generation and microphone input, but sometimes it gets a bit stuck and stops evolving as it should, so I have to find time to figure that out.
Currently all unreleased, but when they do release it will be at www.leshylabs.com. I sometimes post updates on X, but not too often. (https://x.com/LeshyLabs)
I'm working on OSS security tool that can protect you form credential stealers (think Shai-hulud and similar) or prompt-injected agent leaking your secrets.
agent-vault-proxy is a local proxy that injects real secrets into requests in-flight, so a compromised or prompt-injected agent has nothing to steal, feedback welcome: https://github.com/inflightsec/agent-vault-proxy
Crossed over 100K MRR and I'm shooting for 2M ARR by the end of the year. Growing something in this stage is totally different from making it go from zero to one so it's an interesting learning curve. AI has also changed the calculus as well where it seems less crazy to try and do this sort of thing. Time will tell!
I'm working on an easy-to-embed typed language called Ekto. I am taking a lot of inspiration from Koka and aiming to support full multi-shot delimited continuations all while keeping the virtual machine deeply predictable from the host side.
I'm also rebuilding an integrated task/knowledge/publication system I'd previously built atop Gemini's Gemtext format. While I loved the simplicity, I've discovered that there are lots of burrs in that design, especially on the publication side, which I'd be able to lift by using a more fully featured document format like Djot.
My little project for today is sort of hardware hacking of Chinese Aubess WiFi switch with power monitor so I can reflash it without desoldering anything. :)
With this framework, I'm making (among other things) an early literacy app at https://letterspractice.com. My aim here is to hit >= 75% efficacy of Mentava at <= 1% of the price.
The app is near to production readiness, and I'd be happy to share access now with anyone who has verbal but non-literate kids. Be in touch if interested at colin at letterspractice.com
https://mdview.io - the best way to read big technical documentations. Right now I am working on Grill Me feature for rigorously questioning and stress-testing plans or designs without leaving the app ui
Aside from that, I've launched a new tool that tries to promote Solar panels. The UK has some of the most expensive energy in the world, so I've been trying to let homeowners and building managers understand if their building's are suitable.
Uses some APIs all plugged together - including the DEFRA datasets for DSM (LiDAR from planes).
The last few months I’ve been reading a lot about neuroscience behind learning and practicing music and I’m fascinated by the subject. It has helped me realise why the app works for me, as well as my own mistakes that held back my progress for many years despite putting in decent efforts.
It was a much needed inspiration to continue working on it with a re-evaluated roadmap.
Agent harness for durable workflows, starting with Temporal.
Most agents for durable workflows feel like toy examples. There is no "Codex" or "Claude Code" for, say, Temporal. So I'm building full-featured agent for these runtimes. Why? Because it makes long-running agents easier to operate and scale. Currently, all frontier harnesses need to run inside a guest OS and need a dedicated process, this is quite challenging to orchestrate and maintain.
To make it work, I had to figure out what part to run as deterministic workflow code, and what part to run as I/O or side effects (aka activities). I'm using a CAS for most of the payloads to maintain a lightweight footprint in the workflow code.
Currently supporting skills, MCP, prompts, a virtual file systems, and soon sandboxes.
Too many things :tm:
From Campaign Management CMS for an organization I'm part of.
To various reverse engineering one offs.
Today I caused thermal runaway on a BLE thermal (sic!) printer. That melted half of its components together before I noticed. The fun fact is you can do that witouth authorizing, as long as printer is turned on "poof".
Now I'm trying to figure out a BT protocol if DJI Power station, so I can read and track its metrics.
I wrote an improved driver'ish for cheap 5G modem recently. I've been on the last 5% stretch for few months lol.
And I started reverse engineering my LandRover OBD/CAN stuff, so I have some data to publish for other hakers.
The service is composed of two open-source services, namely a Nextcloud app (Astrolabe) and backend (nextcloud-mcp-server). I use the service as an MCP server across a number of apps, and others use it primarily for semantic search over large numbers of documents.
Both are open source, and I'm working on a managed offering, completely based in the EU, for individuals/teams that already use Nextcloud and want to be able to use semantic search across some or all of their documents.
Essentially your data stays in Nextcloud, and the MCP server backend keeps a vectordb in sync to enable semantic queries over your content. The number of supported apps is growing, including:
It's Agentic QA + auto-provisioning sandboxes. Makes it plug and play to do code reviews that actually run your code instead of looking at it really hard. B/c the agents control all of the environment (ie running all of the services), it's able to collect runtime evidence about pretty much everything.
I've been working on a inference engine for a System F Omega inspired language and getting to a point where it is starting to feel good in small programs. I'm not sure why I started this, but I'm hoping to make something like an experience reminiscent of Lisp/Smalltalk by working in an interactive environment.
My goal with this language was to pick a set of primitives to compose and express as much as possible.
The two main features I am missing right now are recursive types (I want to do proper mutual recursion and have been procrastinating) and some form of type classes or implicit modules. Structural typing has been useful and I'm finding a lot of features are falling out for free from that.
Long term goal is to create something with performance within a reasonable range of C# / Java etc generally, with tools for opting out of GC. I don't plan on chasing zero cost memory safety, since I want to spend my "budget" on tooling and expressiveness.
Until the language semantics stabilize I plan on generating some pretty naive JS/TS to play around with real programs, and eventually target .NET and native (likely via C++ transpilation)
If someone was interested in trying it, the thinkythoughts folder contains an ASP.NET server side blazor project with monaco and basic (but broken ;)) syntax highlighting and debug output from inference. I don't expect anyone to be interested but if they are and want samples please don't hesitate to ask :)
Currently in beta, working out some pipeline optimizations. Looking for people to test! Feel free to try it out, join the discord, etc. Looking for feedback on the experience, reliability, etc.
The goal is for folks to be able to tune their own pipelines, right now I am working on adding more API params/knobs. Looking to build a good capture guide too, since most folks struggle with capture IMO
Working on it has been a joy as ad-blocking tech touches so many aspects of software engineering - from systems and security to the intricacies of JS environments in browsers.
Benefits-wise, system-wide filtering disables ads and tracking not just in browsers, but desktop apps as well (which you'll be amazed how much they do). It's especially relevant now as Google is re-activating their efforts to hinder ad-blockers by killing Manifest V2 in Chrome. So much of tech is actively bleeding cash on AI right now, which means the efforts to screw over users will only accelerate. This makes something that sits at the network level indispensable imo.
- https://namebrewery.com: An MCP for looking up domain name availability. Brainstorming names within the LLM has been great and now I can have it do the registrar look ups from within the LLM too.
- https://altitag.com: A real estate photographer can upload a drone photo and get points of interest pins overlaid on the photo using EXIF data. The annotations help provide some nice neighborhood context without needing to open up Photoshop.
Still plugging away on SourceMinder (https://github.com/ebcode/SourceMinder). I know, I know, everyone and their brother is working on token-saving schemes for LLMs. But I’ve found it to be useful even without the LLM. I’m working on a proper website for it now where you can try it out in the browser (wasm port) — try before you don’t buy (it’s GPL). Feedback welcome.
I think that the IoT open source software landscape is missing a simple middleware to abstract the various network providers. I'm trying to fill that gap and hope to author a "show HN" soon about that :-)
I'm working on a dashboard for ranking llms, then finding the best local (by size) and/or hosted (by price) variants of the models. Currently have ArtificialAnalysis leaderboard for ranking, ollama registry for local models and openrouter for hosted models. https://ollamadash.up.railway.app
By default, home page gives all models in the leaderboard, local and hosted. Search for models in the search box on the home page to find the top models by ranking, local(by size) and hosted (by price).
You can also do deep querying/sorting/searching filters of models in each of these three nodes (see the other tabs on top).
The next steps I am working on (would love feedback on this or anything else):
Phase 1:
- Change clicks on home page model tiles in one column to search and show models filtered by that across Artificial Analysis, Ollama, OpenRouter
- User specifies their system VRAM (unified/dedicated) and we automatically filter the home page with models that would fit on that RAM - in the three columns.
- User specifies their price range (per MTok, max across input and output), and we similarly filter and rank by those models across all columns.
- User specifies both (VRAM and price range), and we filter by both - leaderboard is union of local and hosted, local by VRAM and hosted by price range match.
Phase 2:
Once I have this working, add a local desktop client that automatically reads user system and infers VRAM, renders app as webview. Considering pyside6 with Qt for this.
Phase 3:
On desktop client, user can download and chat with the local models automatically based on leaderboard, optionally call hosted models, etc. Used primarily to evaluate and compare local vs hosted models for user's use cases. Also have some interesting alternate experiences to host within the local private app for user to interact with llms, agents, etc.
Do let me know whether this seems useful, or how I can make it more useful.
Kudos for trying and I think it is a great start. Part of the issue is still that individual models differ greatly ( especially local ones ) in terms of what they can do ( and do well ). The problem is that you want some more custom tags ( ideally created by users who want to contribute to tag's accuracy ) 'can it generate csv', 'can it follow schema', 'can it offer position on $conversy_Z'.. none of these will be obvious, but will relate to real use cases.
We go back to the question of 'what does best actually mean'.
Working on a brand-new version of my free project management tool, Post Haste. It’s a tool for creating new projects from templates where you set the initial folder structure and project settings, as well as enforcing naming conventions. It was initially created for video editors but you can use it in any industry.
It’s a complete redesign from scratch that combines Mac and Windows into a single codebase via Dioxus (right now they’re two completely separate codebases).
I've designed my first automated test equipment (4 voltmeters with 4 gains, 4 ammeters with 4 shunts, 4 regulated voltage sources) in kicad and now I'm slowly assembling it, testing and calibrating: https://imgur.com/a/ate444-Y0cORf2
We are in the process of writing our own vertical stack with Go to control the machine instead of expensive and handicapped solutions from Siemens and etc.
https://www.storystarling.com - create a non-fiction children's book explaining your super-niche-geek topic to your kid. Pick any topic, your kid becomes the little explorer, we illustrate and print it. Requires registration, but then lets you read the whole book before paying.
teale.com - distributed ai inference using networked devices
essentially folding@home but sharing underutilized ram (when you're asleep, someone else in the world is awake)
would really appreciate testers but also any companies thinking about distributed inference powered by their own company devices on a private network. my own company has 200+ 16gb ram machines that we're using for inference.
You play a duck in a small shared town. You pick a job, pay rent, post on a Twitter-style feed, vote in local elections. The simulation keeps running when you close the tab. No PvP, no loot boxes, no combat. Playtime is a few minutes a day by design.
I’m working on Kern, a small, git native, make and unix inspired llm workflow.
Modules are simply folders, and the tool just reads from stdio and outputs to stdout. Runs are stored in simple text files with all the info of inputs, outputs and other metadata.
I'm working on a competitive coding gameshow. I'm imagining a combination of great british bakeoff, battle bots, and dota. Basically contestants get dropped into a fully equipped dev machine (all the bells and whistles one could want/expect including neovim, agent harnesses, cool styling, etc and if you want you can always clone your dotfiles and stow them!). I've gotten a decent prototype that live streams from Fly.io sprites to twitch, and I'm able to voice over or have OpenAI do commentary on the match. I've got a demo here: https://www.twitch.tv/videos/2792893261. Still a ways to go, but it seemed like a fun way to tinker with Sprites.
For my demos I've been running 3 minute sessions but I'm planning to run 30-60 minute sessions depending on the scenario. I want to see people push the boundary of what can be done in an hour (with an agent or without, it's up to the contestant!) and ultimately have the match VODs serve as entertainment but also reference examples for "good" development workflows.
I’m working on a website where you can paste your NuGet package references and get notified by email if/when a package you’re using is found in a vulnerability database.
I’ve been plugging away at my running coach style app, powered by the original idea of training for a trail race while living in a flat area with no easy access to natural climbing that has evolved into a fully functional plan generator: https://runcoach.fly.dev
It works well for me so far and I’m pretty happy with it!
I wonder how many people are scraping this thread right now and posting into llm something like “take the best ideas from this thread with highest chance of quick revenue”.
Anyway, I’m working on my manual skills of soldering.
I’m working on Snapy, a system that helps secondhand retail stores digitize and broadcast their live inventory across Google, Facebook Marketplace, Craigslist, eBay, and more.
We’re live in 3 stores and it’s working great.
The system has two parts: a mobile app that lets employees snap photos of products to generate and publish listings, and a hardware box that sits inline between the barcode scanner and POS to track in-store sales and automatically remove the corresponding listing when something sells
I’m working on Snapy, a system that helps secondhand retail stores digitize and broadcast their live inventory across Google, Facebook Marketplace, Craigslist, eBay, and more.
We’re live in 3 stores and it’s working great.
The system has two parts: a mobile app that lets employees snap photos of products to generate and publish listings, and a hardware box that sits inline between the barcode scanner and POS to track in-store sales and automatically remove the corresponding listing when something sells.
I needed to get customers for Hyperclast [1], but I keep putting off GTM (go to market) tasks. I'd rather be building, you know. So I created https://tractionbeast.com/ as a tool for myself. It gives me bite-sized GTM tasks every day. I just review and do them. This completely removes the inertia for me! My other founder-friends like it too so I turned it into a product.
Helping my wife ship https://quantral.com - a platform to monitor X and Reddit for financial chatter and score companies and authors. We discovered lots of stocks early in this AI cycle from X. There’s lots of noise, so we built a platform to more easily monitor the social sentiment for our investment purposes, but now we are trying to spin out a fully fledged consumer product.
I’ve been considering new features on Book Bounce for my use cases. I’m pretty hesitant to start anything new on it while I’m waiting for approval for Google Play…
In the mean time, I’m working on a recipe application I’ve had countless false starts on. It’s centered around iterations and version on recipes, tracking changes to ingredients and directions to build new a new recipe from an existing one.
I’m starting with a go Bubbletea tui this time and I’ve been having a lot of fun with it compared to the React SPAs I’ve tried before. Not feeling compelled to style anything while working on the UX has been nice.
TensorZero, LLMOps gateway, was archived yesterday and I forked it to continue development and keep it open source. I also applied for 6 months of codex credits which I will dedicate to the project.
I've built similar a couple of different ways. I'm currently focusing on running outputs through a local model to to enable tokenmaxing before sending onto a model I am paying with credits, not OAuth.
It started out as a project to try Fable. It wrote a lot of the code and I am learning as I go. I am still questioning some of the design choices but so far it is working. I do want to improve it, so any feedback is welcome.
I’m working on a coding agent that doesn’t have access to the shell. Essentially all it could do is edit and read code, verify and run tests. But due to that limitation I’ve made it target only rust projects for the time being.
I’m building https://design.withfudge.com, a Prolog-backed design search engine that lets designers/agents query structured design knowledge from real websites. It uses data from my other startup, https://fontofweb.com, to help designers find concrete inspiration e.g fonts, colors, layouts, screenshots, and patterns, so they can make better design decisions.
I sometimes need to have a quick but realistic model of an optical system without paying a few thousand for some of the well known commercial offerings, so I've been building this.
ive been getting claude to reverse engineer my raybans glasses case, so i can figure out a 3d printed insert to put in thats less likely to break.
in the process, figuring out some tricks for getting opus to work with 3d a bit better
two tricks ive found is to:
1. get claude to present all the orientations to you, then pick which one after
2. convert 3d problems to 2d ones - get it to draw streamlines describing the geometry, rather than trying to look at the whole thing in 3d
fable was a fair bit better at working in 3d than opus is. well, opus mostly isnt
Any fans of Divvy/window management software? I'm working on a replacement, its near production level, open to any thoughts/suggestions. for apple silicone.
I am building on a publishing platform that aims to go against some of the tide.
Strictly human content, pagination instead of endless feeds, one-off payments instead of subscriptions, linear feed by default, public profile scoring instead of secretive algorithms.
Been deep diving into visual model architectures. Currently running some small evaluations on an idea around unlabeled mask segmentation that will run efficiently on mobile phone hardware. Looking promising so far!
VERDURE is a creative sandbox where you grow and shape plants through trimming and pruning. You can also unlock a 'recipe panel' to further customize them and build a entire collection of your creations. I like to try and recreate real plant designs with it. It is a bit unusual.
I'm working on an open source and customisable/configurable warehouse management system.
As it's open source and built with a codebase that's easy for LLM's to work with, users can download it and tailor it to their business/operational requirements, although it also has out of the box 'industry best practice processes' so you don't have to reinvent the wheel and can only focus on writing the 10% custom stuff which differentiates your business.
As all the processes are flexible, you can also do proper 'continuous improvement' with your staff - something traditional WMS products struggle with.
No link because I'm finalising it at the moment, but if you are interested please reply!
Still working on stelae.eu (private WP editor -> static deploy: more secure, faster, cheaper). Its pretty solid already, only working on minor things. The main issue is that I think that I have a real cool product (maybe a bit boring, but in a good way) with good values (anti lock-in, privacy respecting, EU centric, fair pricing, no VC money -> sustainable business approach) but I can't reach the people that would love to use it. So thats what I'm really working on: trying to be more visible.
I am currently working on a platform for authors to write nursery and kindergarten books for children. It’s pretty much in alpha stage. https://storybench.app
I thought this might be interesting - but I'm on PC and there are no quick ways to pop on that site and see the app in action. Like no screenshots or anything? So I left and likely will never be back. Always good to have some quick screenshots/gifs of apps in action or people bounce on your landing/sales page never to be seen again.
very interesting. I'd echo the comment by another user that the website needs to 'show' what the app UI is like.
The marketing aspect of the app would be key - the app store is crowded for convoy tracker apps - but hardly anyone is framing the "friends" angle. Good luck!
Attemping to write my own CDCL SAT solver right now. I've experimented in the past with a DP & DPLL SAT solver. I'm currently somewhat mentally stuck on how to create the derived clause after a conflict, but I'll get there :)
I'm working on (yet another) Hacker News browser extension, mostly to scratch my own itch. The desktop experience on HN is fine, but I don't love mobile support or lack of dark mode.
I've tried some alternatives, but Modern for Hacker News seems abandoned. Harmonic is great (they just released v3 as well), but it's Android only.
According to Firefox the extension has a grand total of 2 users, with one of them being myself.
Over the last year or so I arrived at a (sort of) MQTT semantic broker that facilitates an actor architecture. It supports federation (including transitive, so proxies "just work"(TM)), transparent outbound buffering with disk overflow and encryption with the noise protocol. Building apps on top of it is a joy. Rust.
edit: ah, yes also a broker controlled component manager that can start, stop, monitor services over the mentioned broker. This is the carpet that brings the room together.
I’m working on my developer portfolio that deeply incorporates the forgejo API, which is where I host my code. It basically gives a personalized dashboard for my personal projects.
I learned to program with KidSIM and later Stagecast Creator, a spin-off of Apple's Advanced Technologies Research Group in the 90s. I'm re-creating it so a new generation can learn the fundamentals of object-oriented programming the same way I did. I've been working with Dave Canfield Smith (one of the original authors and also inventor of the icon ) and it's been a blast to bring back my earliest memories of programming. All open-source and free of course.
It’s founded in Rust and incorporates a Deno runtime for extensions.
It’s headless now, via JSON-RPC. I’ve got the basics of a trait based system which will enable different frontends. At the moment, I’ve created an extension for `pi` which allows me to use that as the frontend.
Let me know when you get binaries building or if you need any help on it. I have several Rust agents running in my other projects, but would love to add support for your project in Nemesis8, an agentic coding orchestration tool. Details in my profile.
TUI based interface to search in your files very quickly. I created it from the need to have an equivalent of voidtool's Everything on Linux. It's a bit different though because it's keyboard based. You define zones where you search for files most of the time, and you can manage previous files history.
Then there are actions you can perform on each file/folder.
I'm working on my self-host TTS cli application for turning articles into spoken audio which I can stream from my PC to mobile device when I'm out and about.
Thinking about adding some things like queuing RSS feed items to be converted to audio and a feature for being able to do the conversion from my phone.
Implementing a solver/optimizer for the Minizinc challenge in Rust! It's very fun, and maybe next year I will even try and put it into the competition properly. As well, I am working on tracking down the history of Sudoku prior to Wayne Gould's popularization of it in the 2000's, and I have found some really interesting postings on Japanese forums from the 90's about the game.
Thought it’d be a short concept to get from start to finish but the things you need to implement and plan for in a video game can be near infinite and decision paralysis is a real problem for me.
It’s going really well so far in the second month, to the point where I now have an advanced class and some possible organizations lined up that want me to help to train their staff.
I need to fill up my classes or get org contracts so tell who you know.
The cool thing also now is that we have a small community of builders in the discord that have shipped so it’s good to see people working together.
I'm build open source : Sovereign AI Infra, Deployed in Minutes.
Deliver Private AI in your cloud organization. Everything in full control.
The idea is simple: Its handle of the complexity for AIOps infra like GPU VM provisioning, NVIDIA driver setup, Docker setup, model download, and launching the inference server. User can run any OSS and AI tools inside their cloud.
Putting finishing touches on an open source multi sig solution to authenticate digital artifact, aiming to increase security of the software supply chain. It's open source, completely self hostable, incl internally, support air gapped signers, fully auditable (data store is a puglic git repo). It's an alternative to sigstore, making different decision.
A DSL for machine learning programs: https://pypie.dev/
Embedded in Python, written like Python, but with static type safety (e.g. it catches tensor shape mismatches at compile time)
an open source technical interview platform built for modern interview workflows like takehomes, agent coding sessions, as well as the standard leetcode-style questions.
I’m getting back into it again after a long break due to burnout. I’m still burned out but it’s getting easier to think through problems.
I’m building a home server. This was something I put off for years due to some perfectionism. Eventually I just threw together something with old hardware and headless Ubuntu. Much to my surprise, the power draw is only about $4 a month. I can live with that so no need for specialized hardware.
I’m doing the common -arr stack using docker compose. I’m using plex because the jellyfin doesn’t work as well on an Apple TV.
Having a server running is nice. I can set up some stuff on a whim. Most recently was the Mealie recipe manager. It’s great knowing my data won’t be paywalled. I’m using syncthing as a simple backup method between my devices - everything but media of course. It’s fine if I lose media.
An unexpected benefit of having the server is that it inspires my wife. She decided to give vibe coding a try. She’s an artist, not an engineer, but with a little help she was able to make a task tracker for us. She tailored it to the way we tackle our tasks and, again, it’s really nice knowing it won’t get paywalled in the future.
I’m still burned out, but having a server to tinker with is helping.
I have a similar setup at home, I’m sure you heard this before but I must +1 the Infuse app on Apple devices. It’s a much better client than Jellyfin’s but can connect to Jellyfin server no problem. No plex needed.
My first video game! It's a 3D First Person Puzzle game where Medusa turns you to stone, but your statue remains when you respawn - and you use this to solve the puzzles in the game
How much of the code do you think is written by AI?
Just curious as I do video game development and just recently started heavily using opencode agentic development with the Flash models (instead of essentially using zero AI assistance before). I actually really like the workflow and find it helps speed things up a hair and in general allow faster testing/tooling builds/etc. which are super helpful to make a game feel really good.
Kind of curious how other people are using agentic code tools for game dev!
I'm building a plugin for Ghidra called Specter that aims to bring semi-deterministic agent workflows to Ghidra. It adds a terminal like interface to Ghidra's code browser where you can chat or run DSL queries.
The project is currently 100% vibe coded with codex\gpt-5.5, but after running some experiments, I'm working on replacing some of the vibe coded SQL engine with Apache Calcite.
Audion - a scripting language that is very fun to write and lets you make interactive music, installations, generative compositions etc https://github.com/audion-lang/audion using supercollider or any daw and hardware. AI picks it up easy so Agentic coding in Audion works very well too.
I've been thinking about and working on a solution to automatically resume a Claude code session in the same terminal when my quota resumes. I hate waking up and typing "please continue"
Vinyl-Tags: a set of command line tools to facilitate the process of preparing analog recordings for addition to music libraries. Fetch metadata and cover art from Discogs (or generate your own); co-run with Audacity to locate track boundaries efficiently; add the metadata to the audio tracks.
Trying to upgrade my data viz project [0] from Svelte 5.35.7 (pre async) to the latest version and making sure that the performance is not negatively affected (e.g. [1]).
I'm working on Kronotop, an open-source, distributed, transactional document database built on FoundationDB, featuring Redis protocol compatibility and a MongoDB-style query language.
Worked on awardlocker.com for a while, an award flight search engine. I ended up buying a bunch of business flights with points so my interested died down a bit, but quite useful!
Working on Margin Points (https://www.marginpoints.com/): a daily essay series on business and tech. Already over 80 essays in. I'm playing around with a daily live call-in show for readers who want to discuss ideas while the essays are rough drafts and help shape the thinking.
Trying to write a formally verified simplified (1D) implementation of Ruckig, more to learn the tools than for the result, although I want that too. Some fun challenges with numeric stability (using the big hammer of arbitrary precision to address that for now), etc. Still don’t have a real path to bridge correctness arguments through a formalization of Sturm’s theorem or similar, accepting it as an axiom for now.
It takes your instructions, write a versioned spec, then generates a hybrid workflow of code+LLM calls and protects it with tests/evals
The result is that the agents run much faster (90% of it is code), cheaper (LLM steps are scoped tightly and uses smaller models) and reliably (specs get turned into coded state-machine)
I’m still working on filepond v5. A JavaScript file upload library that supports client side image manipulation, chunked uploading, various file sources, and is procedurally animated.
I enjoy creating new benchmarks for LLMs. Lately, combining scientific computing tasks (n-body sim, Monte Carlo, etc) with Apple Metal GPU kernels (evolved through LLMs) led to a curious benchmark I believe: https://github.com/vicgalle/metal-sci-kernels
It let's developer do test planning and testing automation using their coding agents. The records of the testing sessions are then shareable and can be added to PRs, giving the reviewers visibility into how the feature works, what scenarios are handled and tested and what might have been missed.
Im currently working solo on the only autopilot agent and thinking partner for android. Its called twent.xyz . Wait. I got more to show you. Im also building signupdoggy.pages.dev which is an API based service that blocks fake signups. Could be temp emails, could be temp phone numbers, we block it all.
Been working on making it much easier for application deployments to get access to a isolated database/schema. The usual pattern currently is to assume that each app creates a new database, which ignores the backups, monitoring etc required for each database. Implemented support for Postgres and MySQL.
Been building a file manager for almost four years that combines the best of Notion and Obsidian while remaining a competent file manager in the process. It's called Phials.
Not technically released even though the site is live, but close enough to a beta at this point.
Trying to adept an O. Henry short story into an AI animation short.
If I'm happy with the results, will be sure to publish a detailed breakdown of the work.
Currently working on HN Alerts — a simple free site I made to alert me (via email) to trending stories on Hacker News.
It sends me an email once a story hits a certain number of upvotes per minute, so it's useful for keeping track of breaking news.
It'll also soon allow you to get alerted to specific words or phrases in titles. (I have one set up so the monthly hiring threads notify me as soon as they appear.)
It checks every 5 minutes, and if more than one story happens to meet the criteria during that 5 minute bucket then it'll put them into one email (so the "hiring" checks appear in one email). But in reality because it's rare that 2 stories will trend within the same 5 minute bucket it ends up being one email per story.
I’m working on a novel (toy scale) kind of LM that is explicitly interpretable and programmable. In that it learns to predict words from text and you can directly see what it learned and teach it new things without retraining.
I'm working on inference.club, a distributed inference network for consumer hardware. Sign up with GitHub, get an API key, run an agent on your home network that registers your local inference resources with inference.club, set permissions for who can use your services, try out models in the playground and use the API. So far it supports the following models:
- LLMs (any OpenAI compatible API, vLLM, LM Studio, etc.)
- image gen + image edit (flux klein)
- text to speech (magpie, dia with voice cloning)
- speech to text (OpenAI audio transcriptions + riva compatible)
- image to textured 3d model (trellis2)
- image+text to video (ltx2.3-gguf)
- text to music (acestep)
currently it is just me and Claude vibing. While using Fable 5 moved all of my local inference services to k3s across 3 RTX 4090 PCs and my DGX Spark, now I can just tell Claude/Hermes/etc. to start and stop services.
inference.club is built with Tailscale's tsnet library. It is sort of like an OpenRouter built for different types of local AI models. inference.club also lets you showcase and share generated content. For example here is 90 seconds disco funk track generated by acestep: https://inference.club/s/Vxm6ozW24oBs_JGbPcq7tA
I was inspired by AI Horde, and wanted to see if I could build something that could support all of the model modalities that I use for generating short-form AI slop content on local hardware. This is also similar to Hugging Face Spaces, but running on consumer hardware with a common API. I've been watching the quality of local AI inference making massive improvements in quality and performance, and I want to make it easier for people to try "local AI" even if they don't have a GPU.
If you're not aware of "sync rights", it's probably worth reading up on given your interests. There is an entire specialization of music copyright law focused solely on synchronization of music to visuals. The good news is that studios almost never obtain this set of rights to the music they publish (because historically there wasn't enough money in it to justify negotiating for them).
Thank you for taking the time to say that. I really appreciate it.
When YouTube was new, a guy named JT Helms made that top one (Once Upon a Time in the West cut to Arcade Fire) and when Bruce Springsteen was asked if he liked anything on YouTube, he said that. And it made me happy because it was my favorite too. And I thought we were on the cusp of something like a new art form.
I still think that. I'd like to see short films shot to music as well.
I'm working on trying to get citizens' voices into spaces of power (councils, parliaments...). So far I've been experimenting with scrapping public records and building a solo (and multiplayer) experience for replaying plenary sessions.
MathBreakers, Your Limitless Math Universe. It's a math game platform teaching fundamental grade school concepts like Fractions in an immersive 3D world with virtual manipulatives (no equations or worksheets).
Re-reading the Lean Startup to hone our GTM, market validation and growth engine.
I’m working on a time series management & analysis tool. The goal is to provide simple ways to work with time series data, including an API and visualisation.
Still working on a Reservation System I'm thinking of making FOSS. Not trying to plug it, but it's all I've been working on lately (next to the job that brings in the bread).
I made Docker not suck for large images. 2-10x faster depending on the operation. I’ve spent the past two weeks burning down the last bits needed to release a BuildKit integration.
I am looking to build a platform that allows for real interview workflows like takehomes, agent coding sessions, as well as the standard leetcode-style questions
I built a dictation and meetings after trying other apps (Wispr Flow, Willow Voice, Granola, open source) and realised they're either user hostile, buggy or have limited feature set. For example, many of these dictations app opt you into Context awareness, which means your entire page contents get streamed to their server. The open source apps don't have dictionary, shortcuts (say "linkedin link" → and it pastes your actual link), or ability to use any proprietary API.
So I made my own dictation app. Supports arbitrary API providers (e.g. Deepgram, Speechmatics, Elevenlabs), Offline models and a subscription if you want it. Otherwise it's free forever for BYOK and offline models. Deepgram is a YC startup from 2016, and have models that are genuinely good - so it's up to you if you want to use them.
Also, Granola doesn't let you read your own meetings after 30 days. So I added a feature in DuckType to import your data from Granola, unlocking all your meetings from their paywall.
Another app: OpenCook https://open-cook.com/ . We curated and wrote our own recipes into StashCook, which requires a subscription just to read your own recipes on the web app. So I got Codex to extract our recipes and rebuild one that is open source, OpenAPI and includes AI features.
This won me 1 year of GPT Pro at the codex event :)
I hope you can tell... I'm tired of companies designing their products to lock you in, to charge you more, with no added value. I build software for people like me. So I'll be building more apps that replace this user hostile software.
learning to build local coding agents with mastra framework, doing basics at the moment, like reading the code, editing.
if you have built coding agent in the past using mastra, what are the problems you have faced with mastra? does it support complex branching/context trimming and other features required to efficiently manage context for AI agents?
trying to get AI-powered YouTube playlist generator to work well with podcasts: https://playlists.at/youtube/generate/
(GPT doesn't seem to be very good with podcasts.)
CRM with agent baked in that can properly do stuff. No idea why attio/twenty are soooo bad at this. It's a table. getcrme.com / https://github.com/ChristianSch/crme
and gargoyle, an activitypub server with a (theoretically mastodon compatible UI) https://github.com/myfedi/gargoyle. Was annoyed at the homogenous fediverse dev teams out there that don't want their precious service federate with others. I want more federation (tested it with bookwyrms and lemmy for now. Mastodon/GTS also working ofc) and a pretty UI and not waste time with weird identity politics. You do you. I want an open fediverse, not a filter bubble. And GTS was too hard to hack on.
A very simple idea: when you eat more than your maintenance calories, you gain weight; when you eat less than your maintenance calories, you lose weight.
By using an algorithm, we can accurately figure out your maintenance calories more accurately than traditional regression based formulas like katch mc ardle.
It's way more accurate than calorie burn tracking devices like fitness bands and watches. (garmin/apple watch etc...)
MacroCodex helps you spot dips in maintenance calories from metabolic adaptation, then auto adjusts your calorie target and macros so your plan stays aligned with your real maintenance calories (TDEE).
It's very useful to those who find it hard to gain or lose weight.
it's a completely free app, no paywall, no unnecessary data collection.
https://www.learnchess.ai — The chess app I always wanted (I've tried a lot of apps in the last years but they always lacked some fundamental feature and/or had terrible UX).
Fairly predictable given the times: a plugin for coding assistants that supports a development workflow that I like :) It's at https://www.shipsmooth.net/.
Perhaps the more interesting bit is that it's in Java (not Typescript or Rust)! Java 25 is pretty neat. Bonus: getting to know how to distribute a self-contained Java program using jlink and the likes: https://docs.oracle.com/en/java/javase/17/docs/specs/man/jli...
I have been experimenting more with agentic iterative optimization: using LLMs to actually speed up code by finding and testing lower-level optimizations, specifically by having it build a real-world representative benchmark, then tell the LLM to optimize that benchmark without a) cheating the benchmark and b) ensuring code quality by some metric does not regress, e.g. MSE for machine learning algorithms. This is extremely effective with GPT 5.5, and recently I found another prompt optimization (https://news.ycombinator.com/item?id=48413304) that surprisingly results in another 2x speed improvement on average.
So far, I have mostly feature-complete implementations of the following, which are faster than the state-of-the-art implementations, up to 20x faster in some cases while matching or beating them in quality:
- a new 2D data visualization library, along with more bespoke data viz implementations such as word clouds and Primitive.
- programmatic image generation
- image compression
- a new statistical machine learning library, along with more bespoke algorithms such as UMAP and HDBSCAN
- a novel modelless invisible image watermarking approach
- a novel machine learning approach which may be a crime against data science but the performance is really good
- local text embedding generation with MLX
- image-to-ASCII art conversion
- grep/jq replacement (faster than ripgrep)
I aim to open-source them over the next months but the main bottleneck is the inevitable barrage of "gtfo AI slop" comments even if I dot every i and check every t, in addition to the distribution of new software being extremely difficult nowadays due to the death of social media and "20x faster" raising red flags even if I have the data to justify it.
The nichest of niche social network clients. It's for people in one particular country, who watch one particular TV program, on one particular day of the week.
Now that the cost of writing software is zero, I love that my focus have moved from vain attempts to generate passive income to just building whatever random shit I feel like. Wish I'd made that choice earlier in life, but no worries!
still working on https://hcker.news, which has an absurd number of features that improve your QoL when reading hn.
i've massively improved a bunch of things like the AI filter, which now gives you the option of filtering out github repos with AI authorship.
Also improved comments, which I'm serving through my own backend which has made loading of comments super fast, and it's going to be the foundation for some really great other features coming soon.
Soon: HN feature parity via browser extension and sync'd accounts.
Personal (as in, "for personal use, not a product") conversation partner -- I speak in German, one level is correcting the mistakes, allowing me to reformulate the statement, another level is responding to the intended idea. Rinse, repeat.
I've been continuing work on cardcast.gg. It gives you the ability to play Magic: The Gathering with your friends remotely using a webcam.
In the last month or so I added a few nifty features:
- Auto-scan functionality: Instead of having to click on cards to discover what they are, I can now do whole-frame detection on an interval (configurable), so players can mouse over the webcam stream of another player and automatically see what the actual card is. Super helpful for deciding who to attack and makes turns quicker!
- Card view is now grouped by player, since auto-detection will populate a lot of cards during the course of a game.
- Switch the video stream to Livekit from my homebrew version. Players were having video trouble and I hope Livekit is good enough so solve that problem.
Next up: I really want to build a community around this, and I'm struggling on getting the word out to people / having them try it out. I've done some SEO and word of mouth advertising, but haven't had much luck. I feel like I need to switch directions a bit. I'm a developer by trade, so this is wholly new to me.
Built TechnoJam (https://technojam.app), a music-making app for kids 4+. It’s a DJ launchpad (drums, bass, melody, chords) but every tap is quantized to stay in scale, so kids with zero music knowledge can have tons of fun making electronic music.
Deliberately no ads, no subscription, no tracking, works offline.
Filing an 'actually useful' defensive patent suite, finalizing investor-facing demos, and raising for autonomous manufacturing of a 100% autonomous food distribution play (the cooking direct from fresh ingredients, packaging, cutlery provisioning, and optional drone delivery all require zero humans) https://infinite-food.com/ (capital welcome, 100x expected)
- A hand-crafted browser game-engine and game for the engine, with things like determinism at the core. I will be launching soon and can't talk too much about it yet because its quite novel. It actually has quite a few novel ideas within. Very minimal usage of AI in this project, I've been working on it for ~6 years now. A bit toooo long.
- A pure slop-crafted browser extension, because I paid for claude code Fable and it got rug-pulled so I am burning my tokens on a 100% slop project just to see what hands-off coding is actually like. A slight distraction from project 1 I do when I'm feeling a bit burnt out. Super fun so far proc-gen type stuff. Derivative
I’m developing a class for non-technical people on the responsible use of AI.
Continuing development of online training for software testers, with a heavy emphasis on AI, since that’s where the demand is.
During a livestreamed demo yesterday, I ran into a ridiculous bug in Copilot for Excel. After all these years Microsoft still can’t manage the basics of reliability and still deny that they need good testers.
screen.cam records your Mac and turns it into a polished video. Smart zooms follow your cursor. Filler words come out automatically. AI-assisted YouTube uploads.
Working with a variety of AI models (Claude, Grok Build, various locally run models) and agents, I am scratching an itch.
When people deploy python and perl code, they have to either export their entire environment, or build a container. The latter is not possible in a number of deployment cases, and the former carries all manner of dependency radius gotchas.
So I am building (ok, I am prompting/testing/reviewing, the agent is doing the heavy lift) compilers for each of python 3.14.x [1] right now, and perl 5.42.x [2], that can generate static code.
Early stages, perlc does work well, pyc is a work in progress.
still very early and im trying to keep it very affordable, since the whole point is I dont want people wasting their money on hustles that were never legit
not quite, it doesn't just flag everything as false. Some hustles
come back with high legitimacy scores and realistic income ranges
that actually match the claims, but might take longer to earn the first dollar. The point is separating the method from the creator's real monetization — sometimes they're the same thing, sometimes they're not. if people are gonna fall for these quick hustle tactics and lose money, id rather them use this and make sure its not a full waste of time
> gmd indexes local markdown with full-text, vector, and hybrid search on Typesense; web search, fetch, crawl, and research; llm-wiki pattern and agents; local or cloud.
I'm writing an extension to the mkv file specification to embed simple scripts that would allow someone to do choose-your-own-adventure style videos directly in the file themselves without outside assets. I'm also making modifications to VLC and mpv so they can play these directly. I've had some success already, but I've discovered a few features of existing videos like Bandersnatch that I've had to go back and add into the specification.
On top of that, it's lead me down the rabbit hole of a 1995 (limited) theatrical movie called Mr. Payback, which may have only ever existed on 50 sets of laserdiscs distributed to those theaters. I'm hoping to track down a copy of it... if anyone had any clues on that one, I'd love to hear them. I'd purchase a Domesday Dupe device and dump it. But it may be a genuine lost movie.
Working on a claims automation service for a pet insurance company I work for. Interesting because its backoffice facing but still helps our end users to get their reimbursements faster and makes the feedback loop when we need more documentation from them shorter.
I have been experimenting with methods of reading books and creating software for these methods.
For example, I was inspired by the activeness of typelit.io when reading - typing out an entire book helped keep my mind from wandering when reading. But typing the whole book is too tedious. I wrote a few scripts to mirror the words on an epub, which does help with focus but isn't quite good enough.
My current epub reader software I use requires you to press a button to reveal the next word. This has dramatically improved my reading comprehension, prevents inadvertent skimming, and keeps my mind from wandering.
I'm still experimenting but for those who have ADHD or are borderline ADHD, it's quite a revelation - I can finally read without my mind wandering.
I'm currently working on modeling energy, climate and new policies like universal basic income
https://microlandia.city
- How difficult was it to get on Steam and other vendors?
- Are there any artists you'd recommend working with? I need a 3D/Blender artist, especially.
Only to Sim City.
Is the engine honest enough to reality to demonstrate failure?
Higher taxes for anyone earning over $100k
Higher cost of living, and lower quality of life for anyone earning below $60k
Politicians and corporations earn billions in profits on UBI distribution fees, and incentive spending/automatic deposit programs (contribute your UBI directly to health insurance and it’s tax exempt!)
Not a failure. Society working as intended.
> [...] lower quality of life [...]
Agreed, that would be a failure, if it were to happen. How on earth could "giving people money" lead to a lower quality of life for them?
> Politicians and corporations earn billions in profits on UBI distribution fees
As opposed to the much higher fees accrued by the more-complex means-tested programs today?
Github: https://github.com/microsoft/accordant
Docs: https://microsoft.github.io/accordant
Every API has a contract - the rules for how it should behave. You can't withdraw more than the balance. You can't delete a resource with active references. You can't re-create what already exists. But usually these rules are never written down in one place. Accordant lets you write the contract directly, as executable code. Not documentation that drifts, but code - if the implementation stops behaving according to the contract, you get immediate failures. Not only can you use the executable spec to validate _arbitrary_ scenarios, you can also use the spec - a first class construct - to mechanically explore the state space of a system and generate interesting test sequences. The docs above have examples.
Also worth calling out that we've used the framework to model a number of complex, distributed real-world systems: those involving async processes, concurrency, retries and crash consistency. These are non-trivial specs (and they pair quite well with techniques like deterministic simulation testing). Great care has been taken to ensure the specs remain readable and concise despite that richness of behavior. For those of you old timers who might be familiar with Spec#/SpecExplorer and NModel, this model-based testing library is a descendant of that line of work.
With the rise in AI-assisted software development, I feel we need richer ways of specifying and validating software and I feel quite excited and bullish about the possibilities here. There's a lot more to say on the topic - follow my twitter feed if interested in more updates ;)
After 1.5 years of development and two exhausting pivots, I’m incredibly happy to finally have our v1 live!
While most of the HR tech is rushing to use black-box AI, I built the exact opposite. It's a transparent, math-driven fitness engine. It extracts objective data from CVs and calculates how well applicants match requirements, letting you see the reasoning behind why someone scored an X%.
If anyone here builds in the HR space or regularly hires engineers, I would absolutely love your feedback or a roast of the landing page.
PS This is a project of immense importance for me, I've been working on for past ~2 years, I'd appreciate to know why this comment is flagged.
How do you deal with CVs like mine that refuse to list every <fancy keyword> I'm familiar with because it's pointless clutter? In that sense, and IME, the companies that only hire perfect fits are, more often than not, toxic.
> No black-box AI. Every candidate gets a detailed match receipt explaining exactly why they scored an 85%, complete with contextual evidence from their CV.
HR teams like to play dead when they actually have a file with detailed feedback on a candidate. Yet, they choose to keep that to themselves out of baseless legal fear. I wonder how that works out when somebody proves a company's filter consistently proves a specific bias gets rejected systematically.
and
> Automated assignment validation
which is particularly troubling for devs: companies scaling assignments as first screen. How do you get around "AI evaluating AI" loops especially about assignments ?
I like the landing page.
also matching requirements should be secondary to experience. someone who has done a few react websites will not be as qualified for your react job as someone that has done 10 years of angular and vue and can learn react in a short time.
I’m prioritizing user experience and QoL features, I’d like to build something calming and user friendly.
I recently added support for user generated puzzles - here’s a nonogram that I drew just now[2].
[1]: https://lab174.com/nonoverse/
[2]: https://lab174.com/nonoverse/play/custom/N4IgbiBcCMA0IGcogHR...
https://breaka.club/blog/why-were-building-clubs-for-kids
We also teach kids visual scripting in Overcooked 2!, allowing kids to code their way through the levels of an existing much beloved game:
https://youtu.be/ITWSL5lTLig
I'm running an in school pilot this week (Lunch time school club).
The tech stack for the main product is honestly pretty intense at this point with full multiplayer support, offline play, transitioning from client authoritative to joining a remote server. Built atop GodotJS, TypeScript bindings for Godot, which I maintain. Huge monorepo with over a million lines (yes, I'm aware that's NOT a good thing), and GodotJS itself is not included in that.
Also recently got a lot of home VHS tapes digitalized and always had trouble with playing from Google drive or finding the right video. So I just built a webapp this month to split the videos into clips, transcoding it for better streaming, Google casting support, and tagging for search. [1]
[0]: https://upkeepnest.com [1]: https://heirloomreel.com
We're a collaborative canvas + context engine for all the code and docs in your company, with a zoomable UI + CLI , where you can collaborate with your co-workers and agents.
We map technical debt, agent readiness, code complexity, security scanning, bus factor and more, so you can easily see how all the software in your company runs.
One of the most complex things is our incremental git blame engine built on top of GitOxide, as our backend is fully built on Rust. Our frontend is built on PixiJS so you can explore at gaming speed with 60Hz refresh rates.
Recently we sponsored Rust Week in Europe and a hundred or so developers tried our mini-game which is GeoGuessr for code, and got rave reviews. Future is looking bright!
Reading Brand's quick little life changer kept me going with surprisingly few cuss fits:
The Maintenance of Everything: https://search.worldcat.org/title/1511798465
Thanks, Stew!
It's a project I have been working on for quite a long time and I released it on TestFlight about a week ago. It was really nice to work on something end-to-end, from creating a wrapper around llama.cpp with support for prompt caching/forking and automatic model loading and unloading based on device memory constraints, to the custom agentic harness the app runs on. I have also spent quite a lot of time on agent execution modes that I hope can enable to more easily reason about agent security regarding prompt injection attacks.
What I'm really hoping for now is to get actual feedback, to know if users end up having real use cases where the app is truly useful / interesting for them, to understand what should most urgently be improved etc.
https://bilembi.app/
Right now your LP reads like a technical doc rather than a product’s page.
Human powered proof of humanity. Nothing on chain, no blockchains. Just DNS / SSL like decentralization. V0 is admittedly less decentralized as a POC (I control the registry and provider), but anyone can implement the protocol and make this truly decentralized.
Registry (even the current one) is meant to be government by multiple independent entities.
Shared before, didn't get much feedback. I've used AI extensively but very thoughtfully. This is very much not vibe coded.
The ecosystem includes 3 apps:
https://humanidentity.io: people signup and get verified here
https://app.humanidentity.io: platforms signup here and manage their oauth
https://protocol.humanidentity.io: documentation, meant to be operated by a governance body
https://platform.humanidentity.io: example platform. You can signup in https://humanidentity.io and then login via oauth here
Overall it’s been a fun learning experience and I’m looking forward to some more of the hardware work I’ll need to jump into soon. I really want to get a more focused kitchen / cooking oriented voice assistant working. So far I have a few simple voice-to-timer settings done e.g. “set a 10 minute timer for the pasta” that tells me “ding! Pasta timer” when it goes off. You can set as many concurrent timers as you need with different names.
I need some better hardware before I try using the pi for full hands free while cooking. I’ve mostly been using a webapp on my phone but afaik you can’t easily wake word a phone on a web app without some real hacking.
Overall the projects been enjoyable, once you understand the basics of a harness it feels like there’s a lot of problems you can throw them at.
Don't tell my husband that I spent more than $200 on parts and supplies for it.
I've wanted a Heathkit since I learned about them as a teenager, and this is the first one I've ever seen in the wild. The original owner left the date he assembled it and his callsign written on the inside! I looked him up and he died in 2013, but by sheer happenstance I'm restoring it 58 years to the day that he initially built it. I got super lucky with this unit because as far as I can tell, it's only been run a few hours in its entire life. I really only have to replace aged components because they're physically breaking down, I expect the thing will outlive me once I'm done with it. Can't wait to hand it off to a bewildered young EE in another half century.
You can find the tool at https://www.cangjieworkbook.com/ and there is a free demo linked inside. It should work on desktop and mobile web browsers.
https://tiledwords.com
I checked my analytics recently and over 100 people have 100+ day streaks which kind of blows my mind!
I released custom player puzzles which has been a lot of fun! I’ve gotten dozens of submissions that I’m working through. People are submitting really clever and interesting puzzles. It’s fun to get to solve puzzles I didn’t make myself! There’s more I want to do here (featured puzzles, categories, etc.)
https://tiledwords.com/player-puzzles/page/1
I think I’ve also tracked down an issue that was causing the game to crash on older iPhones. I’m having playtesters run through it now and hope to deploy tomorrow. (Switching some positioning rules from CSS transforms to SVG coordinates)
I recently made some puzzle brainstorming tools using the Datamuse API which have been very helpful for brainstorming words related to a theme.
I’m starting to debate some monetized features. So far everything is free but it would be nice if my wife and I could dedicate more time to this. If I could get a few thousand dollars a month in subscriptions my wife could quit her job and focus more on puzzle creation and improving the game. If you play and have ideas for features you pay for I’d love to hear them!
Right now there is a runtime and compiler targeting C, written in dependency-free Rust, and a minimal Python frontend. The project is very much proof-of-concept stage so not yet fast. Working on a CUDA backend now.
The goal is to enable automatic discovery of FlashAttention-style optimizations which is not feasible with current compilers.
Very open to feedback/discussion from anybody interested in or knowledgeable about tensor compilers!
repo: https://github.com/ilang-dev/i
We try to create pieces that stand on their own aesthetically but have a hidden meaning. We currently have two styles: lambda calculus based pieces (we depict the lambda/Tromp diagram) where we have Y-Combinator earrings (well, strictly speaking they are one beta reduction away from Y-combinator. Aesthetic oblige) and a pendant depicting a lambda expression computing Graham's number. The other style is quantum computing circuits, based on quantum computing research my brother (a physics professor) is doing: a pendant that is actually a non-local controlled-NOT gate.
I wrote a tiny DSL to describe the jewelry pieces, and an interpreter to produce CAD files. We then either 3D print them or have them produced by lost-wax.
We are 200% out of our comfort zone (and love it): I know nothing of front end dev, payments, or anything like that. The diamond district in New York is a neighborhood we normally actively avoid, but if you are forced to go there it is fascinating (people examining diamonds on the corner of the street, others in fur coats in summer straight out of a mafia movie...), and especial marketing. Jewelry is a completely saturated business (luckily we are not doing this to pay the rent); we think we have a unique angle, but we are still figuring out the target audience (if there is one).
Store: https://studio-galois.com/
A contracts management platform for the events industry in Brazil. WhatsApp has turned communications chaotic between vendors and customers across the event's lifecycle. Both parties suffer from not having a single version of the truth about what is promised to the event. The product helps in that sense.
A human capital platform that helps companies comply with Brazilian labor laws in regards to time control via punch clocks. It also helps managing contractors and freelancers.
Looking for a publisher to my first book "The Least You Must Know About Computers to be Free". A sci-fi technical novel about open hardware, FOSS, cryptography, AI and Bitcoin. It aims at teens and young adults.
Raising my two teenage children. (hardest project)
- A WS + WebRTC mesh
- A request/response protocol incentivizing the closest or most efficient peers to respond to requests
- A WASM environment ensuring deterministic execution and supporting contract composition
- Collateralization around responses, ensuring invalid responses have amortized negative value
- A consensus and UTXO layer, focused on low-latency, low-finality micropayments (for request incentive and collateral), using WASM compute as the weight metric
The idea came out of me wondering a few years ago why a multiplayer game couldn't simply be run on the player's machines without a central server. It has grown since, but the focus has remained on low-latency and log(N) state consensus (unlike a blockchain).
It's wrapped up as a single fetch() method, mostly mirroring the browser's native fetch(). There's a lot more I could say; I love working on it and discovering elegant solutions to the problems that pop up. I'm hoping to release a prototype in a few weeks/months. If you're interested in trying it out, let me know (joel at scaffold.io); I'd love to have some other eyes on it.
Stack based task manager with integrations with GitHub, Linear, and some others to manage and automatically update your immediate todo list, free while in beta (still very early beta)
This was very much a passion project and an idea I’ve wanted to see alive for decades, and also let me explore some tech I wanted to get deeper on. I’m bullish on the the tighter integration of CPUs, GPU style cores, and shared memory. Our game, LocoMo, relies heavily of GPU processing of entities under the hood.
You can see me do a walkthrough of the current state of the game here: https://youtu.be/NbB0DCX8Pis?is=vGEw5oTMu_W9f-zT
Edit: Also, thank you! The game has evolved a ton over the last year and is really coming into its own stylistically, bit by bit.
Most recently I was also probing people about how they conceptualize of the soul, making my own drawings, and asking others for drawings. If you have a few minutes I would also be interested in seeing how you would draw a soul, given pen and paper or equivalent materials. It often feels like for a lot of people the concept of the soul gets comingled with very confusing definitions.
There's a general problem where certain concepts become so overloaded that just disambiguating and clarifying what is meant becomes a challenge. I will note that if your first thought or question is whether the soul is even real, you might be confused about the definition or we might be referring to different concepts.
The thing Im most proud of though is just the viewer, its designed to just open all the images and videos in a folder, and then there is no UI except a right click context menu, the list is a grid or a masonry layout that uses 100% of the space for the images/video so you can just navigate them. It adds anything you open to a local sqlite db so you can tag things if you want optionally. Also control modes that make sense for either a mouse or a laptop trackpad.
Mostly I wanted more art and colour in my workday - something to look at, learn through and draw inspiration from in the moments between meetings and code. You can create an account to save your favourites and curate your own gallery. Just released collections that you can make public.
Art from: The Metropolitan Museum of Art. Art Institute of Chicago. Rijksmuseum. Cleveland Museum of Art.
My wife and I continue to work on Uruky [1], a simpler Kagi alternative, based in the EU.
Last month we launched image search (got out of beta this month), added our own index and crawler (via Uruky Site Search [2]), and reached 100 monthly active accounts (we’ve passed 150 now)! You can also see a privacy-focused independent blogger wrote about us [3]!!
You can check out the main differences between Uruky and Kagi, DuckDuckGo, SearXNG, etc. in the footer (right side), but one huge difference is that with Uruky, after being a paying customer for 12 months, you can download a copy of the source code (licensed as BUSL into AGPLv3 in 2 years — a suggestion made here in HN)!
You can also now get a free trial for 2 hours when you signup if you pass a proof-of-work captcha (another suggestion made here on HN, and it uses a local Altcha).
Our main challenge continues to be discoverability and outreach because we want to do it ethically. Ideas are welcome! We’ve been sponsoring open source projects, open source maintainers, and indie, small-web, and privacy-related websites and applications.
Feature-wise, for June we’ve already added a ton of personalization and privacy-increasing features like URL rewrites, cash-by-mail payments, and anonymous vouchers! Upcoming is partnering with ProxyStore to sell vouchers (we’re currently in talks for this), so you can buy vouchers with XMR/Monero or other cryptocurrencies. Then we’ll be looking into increasing our own index, focused on indie/small web.
Thank you for your kindness!
[1]: https://uruky.com
[2]: https://uruky.com/site-search
[3]: https://theprivacydad.com/interview-with-the-engineer-of-uru...
Surprisingly, my Kagi search for “eu alternatives” to get the link showed this blog post: https://yeechie.nl/uruky-kagi-alternative-eu-based-private-s... as a second result, what a weird coincidence.
That being said, it definitely looks possible, so we’re excited! As it stands, it’s already sustainable part-time and can go long-term.
Womb.FM - https://www.womb.fm
Everything has been built with Claude, even the bill of materials for the hardware.
The project is open source and now protects my raspberries. You can see a demo here: https://www.reddit.com/r/ClaudeAI/comments/1u03rja/automated...
I also made Computer Engineering for Babies which I've posted about on here a couple times before.
https://hackylabs.com
I also am working on https://trypixie.com - a way to employee your kids legally. It gets money into their Roth and saves you taxable income all while teaching them about working.
There is a couple of semi-unique features; you can use your voice to dictate and generate events (feeding, sleep etc), you can also scan documents for growth measurements.
You don't need user account to use it, there is no subscription, the paid features are available behind a single purchase for lifetime. Still, like 90% of the features are available for free.
Also https://www.athilio.com/ privacy focused, highly customisable personal data analytics for your Oura, Garmin, Polar and Apple Health (ios port coming soon). Of course there is couple of AI features (with a single switch to turn all off), originally those were built just so I would learn how to embed agents in sw products myself. The whole app was originally built for personal use to fix missing features in the manufacturers own platforms: - Period over period comparisons (this month vs this month last year) - Comparing different metrics - Customizable graphs and other widgets - And of course combining the manufacturers metrics (oura for sleep, garmin for training etc etc) Existing solutions for this kind of software seem to have focus on social (strava), or coaching (training peaks), or they are just straight up crazy expensive with their paid tier (both tp and strava for example).
Recently started some agentic features for paid version, and this lead to a side project https://eatmydata.ai - a question-to-sql-to-dashboard builder, where data doesn't get exposed to AI (with bundled in-browser SQLite vector search, NER and many other features).
The latter is open-sourced under MIT: https://github.com/eatmydata-org/eatmydata
It's pretty simple: just search for the vitamin/mineral/supplement you want, and it displays them all ranked by the most amount of that supplement per dollar.
Multivitamins and Omega 3s work a little different, and protein powders are grams of protein per dollar, but that's the gist. Anyway, the affiliate link isn't even set up yet, but maybe some people could find this useful in their personal lives. Open to feedback!
The pitch: It's insane that we have to pull in Python or Lua to build C code. CMake is an abomination against god that has become usable in spite of itself. Zig cc is proof that this entire ecosystem is an embarrassment. My tool gives C projects a TOML manifest, and builds scripts written in C and JIT compiled by the tool. Now, you can write build scripts in the language itself, pull in dependencies you wanted to use anyway.
It also provides a stable ABI. There's an HTTP-backed index and a Git-backed index. And it generally does the same thing for C that, say, Bun did for JS/TS. You'll be able to run C files from source and have the entire ecosystem available. You'll be able to trivially generate single file static binaries, or dynamically link to an older glibc without arcane tricks. It will fix C.
I'm also still working on my "what if we wrote a real standard library for C"; I added some feedback I got from the release.
https://github.com/tspader/sp
Coming soon is a full automated training system to "certify" people to time events.
It'll spin up a VM with our timing software and an emulator of the hardware of your chosing and you kind of play a game to get certified (you deal with real radio traffic, real world like scenarios where shit goes wrong)... This way we don't have to train people AT events from zero.
Repo is here if anyone wants to have a look: https://github.com/deosjr/unreal-talk
And a browser-based version can be found here: https://deosjr.github.io/dynamicland/live
I discovered this week, while the paper was being reviewed by SG1, that I've accidentally stumbled into tackling a rather important problem. Senders as shipped in C++26 can really only express the async equivalent of inline functions because, except for `task`, all the standard senders fully encode the shape of their computation in their type. With something like the `function` I'm proposing, you can use senders to express async algorithms that are separately compiled, just like sync functions.
If the feature lands in a shape similar to what I've proposed in P4223R0, then I think an obvious extension is to modify the core language to support a newer kind of "coroutine" that allows you to define a sender with imperative code. My vision here is that we act on the observation that `std::execution` is a language feature implemented in the library by teaching the compiler how to turn imperative C++ with `co_await`s sprinkled through it into the corresponding sender and operation state. I think this would open the door to putting async object lifetime analysis and optimization where it belongs (in the compiler) without the overheads and inconveniences of C++20 coroutines. It would even let us apply the inliner to async functions when the compiler can see the body of an async callee, not just its declaration.
For now, my next step is to write P4223R1 to incorporate feedback from this past week's WG21 meeting, and continue exploring the design space around specifying sender attributes for a `function`—I'm thinking the current approach of specifying query function signatures needs to be replaced with a key-value object like receiver environments, but I'm not sure yet what consequences that change would have on the design.
https://www.agentkanban.io - Github Copilot / Claude Code integrated Kanban board with context management
https://www.asmusictheory.com - Music Theory lessons, tools, including piano roll with midi in the web browser
unfortunately, I did not have the time to pursue them. good luck to you!
I suspect I'll be alpha launching at the start of July at this rate! I wonder if anyone wants a Peloton meets Twitch with open hardware (Wahoo Kicker etc.) but I think it's a fun idea and I just love that it'll be one of the most complicated React Native apps in all of existence! Who knows it might eventually become Mario Kart on a bike or something else, I have a million feature ideas!
[1] https://veloa.com
In contrast to most other libraries in this space, it knows about Laravel conventions and its ecosystem, and tries to infer as much as possible without explicit annotations, using type hints and doc comments and static analysis. Where automatic inference isn't possible, you can use targeted attributes to annotate your route handlers.
The result is written as an OpenAPI specification, and (by default) served using a Scalar playground.
We also include a linter command that checks whether all API routes are documented properly, typed correctly, and following your style - this also supports dirty files only, reporting coverage in standard formats, and even automatically fixing some classes of errors!
I've also written tooling to regularly test the library against a set of open source Laravel applications with a published OpenAPI spec. This has proven very solid in detecting improvements and regressions, so much so that I can delegate new features to an AI agent and rest confident that it can verify on its own whether a change breaks anything.
One of the hardest parts I've found is the diarisation (who said what) side of things. Trying to tune this and have it working in a way that doesn't absolutely grind the laptop to a halt or take forever to complete has been _hard_ but also extremely rewarding.
Another part has been the fine tuning side of the Phi-4 model, I'm on version 10 now, getting that pipeline down was a journey in itself, but I've got some great results. I wrote a bit about it in a comment here - https://news.ycombinator.com/item?id=48385906#48389625
I absolutely love working on this, I still wake up and the first thing I think about is voice transcription pipelines (sad I know), but I'm excited to see how much further performance and utility I can squeeze out.
I also got hammered when it came to diarization... I found that the biggest pain was creating an appropriate environment for cross-compatibility of the different backends required for whisper/faster-whisper/pyannote. It's especially challenging on older systems, so major kudos for giving it a shot.
Have you gotten any traction yet from the community?
However what happens when you actually build and launch your agent is customers try it, do some initial runs and then go ask your manager to automate their use case. That is why I have been building https://toolscaled.com/ The goal being work through your problem space using agentic chat (like Claude Desktop) and then at the end convert it to a workflow. I am pretty close to launching and have been testing. If you're interested send me an email! (if you do sign up just fyi its still in beta so YMMV.
I went on sabbatical to fulfill my dream project - consolidating 30 years of training logs that span everything from paper and Excel spreadsheets to various fitness services and devices I used. I'm enjoying the technical challenges involved - digitizing paper hand written logs using OCR / visual generative models, navigating the maze of athletic metrics with their crazy trademarked names and SOTA multidimensional models. Having incredible fun building AI coaches: agents ranging in character from Al Pacino in Any Given Sunday to the coach from my teenage years, utilizing ICL / PFN model-based predictions, ... and more.
The best part is the rush of memories while ingesting my own history - photos and recordings I completely forgot, as well as navigating data shared by friends - records they didn't see in years because the original applications they used no longer exist or won't run on their current HW.
Writing a sci-fi book, and it’s finally fleshed out to a point that it’s slightly readable, though more like a script. As this is all in markdown in one folder, with some text files as lists, I started writing a simple web project to keep track of it all.
Created a website for local community information, services, etc. Something that removes the reliance upon social media for this. It’s static, making hosting cheap, and in most cases free as it can run on vercel with contentful for blogs and github to store it. I’m sure there’s another project like it, but it’s always good to practice making something myself.
I was asked to show something for STEM week at my daughter’s school. Started a project to demonstrate AÍ to children. Uses very small training data set, you can write the beginning of a one sentence story, it can keep track of a configurable number of tokens, generates a given number of them. Allows taking steps through the process. This is the only one I’m vibe coding because I’m not entirely sure on how to implement it, plus I’ve added multiple models.
Have been working on a girlguiding page specifically for the division my wife volunteers with, as they relied upon the older district site that’s woefully lacking. Stuck waiting for approval.
1. https://interauth.dev/
Share a single google doc with your agent (w/o oauth mess)
I needed a way to share a single google doc/sheet with my agent
I didn’t want to go through the heavy oauth gcp project so I’m using disposable email addresses as the work around
2. Agents.sh
I get so many cold emails that could be better if I tell the bots how to talk to and reach me. What’s top of mind for me, how I like to be pitched, etc.
So I made a mini platform to put up text/md files. Then added all the perms fun - pw support, expiration, every url has an inbox. Aimed at agents only.
Ex: https://agnts.sh/greg
1. Helping to make ActivityPods apps working on top of https://nextgraph.org/ (instead of SOLID).
2. https://cloudywithachanceoflatency.net, network monitoring done right (according to me), for humans and AI SREs (still WIP but quite fun already).
And when I get a chance, accepting some small paying contracts to pay bills. Weird times.
https://williamcotton.github.io/datafarm-studio/
One of the DSLs is:
https://williamcotton.github.io/pdl/
The other is:
https://williamcotton.github.io/algraf/
Full LSP that is built into the binaries and compile to CLI and WASM. Full LSP support in the Monaco text editor npm packages that use the same static analysis crate as the VS Code LSP client.
Native GIS with GeoJSON and Shapefile support for both languages.
Then, I will slap an ESP32 & z-wave on it :D secretly to feed my Home Assistant. :D
And I plan to have more features like: time tracking, kanban, read later links, scripting etc, in the same simple interface.
The important part is, data is and will be stored in a single text file. No online interaction.
Right now you can
You can check the screenshots of the app here: https://tmahmood.github.io/fluffy_sparrow/Right now there is no demo version.
[1] [fend](https://printfn.github.io/fend/documentation/
> while still packing quiet the punch.
The idea is a project independent knowledge base so agents stop figuring out the same API quirks again and again and instead write down what was solved once. Agents submit via API, vote on each other's entries, anyone can read on the site.
Some thousand entries so far, mostly seeded by my own agents, dev infra stuff and so on. Some of it is real problems i hit in my own projects.
https://hivebook.wiki
I built https://loracle.app to automatically build a wiki of various entities in our campaign and enable rag q&a with an ai assistant about specific world facts.
If you are a privacy minded person like me, you got only a few options when it comes to email with some ease of use: ProtonMail, Tuta etc. Rather than becoming a new competitor to those, I want to give the power of the decentralized email standard back into the users hand. Everyone with a bit of self-hosting/Linux knowledge, can setup their instances for themselves and their friends/family/business.
Bootstrapped that heavy via vibe coding. Used it to learn a lot about the email standard and related technology. However, I find it too valuable to just be a learning project. Now I'm cleaning it up to get in control again and to proof its secureness by rewriting/restructuring/refactoring line by line.
If the expiration is for example one day, you might never see it.
To my knowledge, Protonmail does not even show information that the email has expiration. Nor can you access log of deletions.
This feature was used against me on a court trial.
I have already finished training the standard discriminative auto-regressive architectures by imitation learning on player actions, compared it with previous baselines set in the study. I want to match or exceed the best prior model Kakuna @ 142M params, but in a limited budget. JEPA style world models are showing promise when conditioned on actions [1] and frontier research on JEPA with trajectory straightening [2] shows that improved planning is natural outcome of improved representations.
If any good research ideas come out of this exploration then even better!
Currently fork with my models: https://github.com/sooham/metamon (under checkpoints) Orginal source for pokeagents: https://github.com/metamon/metamon
[1] https://arxiv.org/abs/2603.19312 [2] https://arxiv.org/html/2603.12231v1
A good primer on world models from Welch Labs - one of my favourite ML youtubers: https://www.youtube.com/watch?v=kYkIdXwW2AE
Instead it's just a compass face, with brand and distance.
It's free for basic konbini hunting (has probably most of the stored in Japan), and is offline first. So maybe it's useful to other folk?? (I hope so!)
There's some stamp-book style collection things in there too, but that's more fun, and a few `PRO` gated things (more stats, filtering... soon some other store types). But none of it required for finding the next Biru or coffee.
*https://apps.apple.com/us/app/achira-japan-offline-guide/id6...
Although the goal is to build an efficient all-in-one-workspace, I wouldn't run a company on it just yet. Right now I'm looking for early adopters who don't mind the rough edges and relatively minimal feature set.
You can grab an early build at https://alpha.totemkb.com.
New workspaces will be in a 14-day 'trial' mode, email rohit@totemkb.com if you'd like me to upgrade your workspace free of charge.
https://github.com/linsomniac/apt-cacher-ultra
The primary features I'm focusing on are: It can serve packages if the upstream is unavailable or corrupt, it is reliable.
It snapshots and verifies the cache, and then only updates the snapshot when: a new metadata is available, it has downloaded updated packages that you commonly request, all the metadata checks out.
It's been running in my environment with ~200 clients, ~50 of them get reinstalled every day and then do a full set of package updates and installs. Been working great, even when I shut down Internet access while doing it.
It's like the love child of Polytopia and Conductor. As many other agent management platforms/harnesses, Viberia has been building itself, and honestly this has been too much fun to stop.
It's a web-based game for 1-8 players, features a tutorial and bots, plays like a board game, and operates with economy, bluffing, forward-planning, risk-taking, course-correcting mechanics.
Play as an amateur psychic navigating a fictional stock market. Receive premonitions, call in your wizard friend, navigate dividends & earnings releases, and chase the glamorous annual investor awards.
https://leetarxiv.substack.com/p/why-compilers-rarely-use-st...
It provides digital loyalty cards for cafés (think of an electronic version of paper stamp cards). However with zero apps or customer signup, instead loyalty passes go straight into Apple and Google wallets.
It’s written in Ruby on Rails, which I’m enjoying learning. Still a bit rough around the edges, though it’s free for now so I’d be grateful for your feedback.
Thanks!
[0] https://github.com/asamarts/alint
Choose your genres (and more filters) and get auto updating playlists from your music library. Also just added a new feature - select a few (or one) playlists and create a "mirror", with tracks belonging to the artists of your selected playlists.
tsz is my main side project. Trying to learn from this for how to make software in fully automated fashion. tsz's goal is to match tsc (tsgo) but perform better. I am not passing all tsc's own test cases and working towards making it work on complex type packages.
https://github.com/tsz-org/tsz
Texcraft is an attempt to re-implement TeX with a modular/LLVM software architecture. These UIs take the same code in Texcraft that has identical behavior to TeX, and illustrates some of the inner workings of TeX. The lig/kern one is missing instructions :)
I have also found at least one bug in Knuth's TeX recently and am currently writing it up.
Another project is https://www.beeldplek.nl, a timelapse platform powered by community photos. The idea is to place a mount and QR code at fixed viewpoints around the neighbourhood. People scan, photograph the view, optionally add their name, and submit. The infrastructure is up and running but getting the permit to place the mount has been a slow process so far.
More broadly, I spent ages developing a self-solving Kanban for mid-sized companies and enterprises (https://kodan.dev) - controllable autonomy level, multiplayer support, remote coding server, works on multirepo projects, mobile support, previews, and more. The pain exists, but it's pretty hard to break the integration barrier.
So I'm spinning the feature I used the most into a separate, easy-to-understand product for now.
Besides Materia itself I've been bouncing around some other ideas for the Podman quadlet ecosystem. The biggest one is Athanor[1], which re-uses the same plan-execute system and primitives provided by Materia to backup Podman volumes.
I've also been kicking around a clustering system for Podman volumes called Firmament that uses Serf and the built-in Podman import/export API to move volumes to where they need to be in the cluster. But this will probably wait until Materia hits 1.0 before I really start putting effort into it. Or if my homelab needs something like it, whichever comes first :).
[0] https://github.com/stryan/materia ,main site https://primamateria.systems [0] https://github.com/stryan/athanor
You can try the game here: https://daily.gametje.com
Also working on a multiplayer version of the same game.
One thing I've learned is how hard it is to get things perfectly aligned.
My first goal is to 3d-print frames for reading glasses that I can wear in bed while I read. This way, if I fall asleep with them on and break them, I can just print new frames and pop the lenses in.
I'm also looking into coding harness self-improvement [2]. An inner LLM (raw LLM request) + harness solves coding tasks, an outer agent like Claude or Codex that proposes harness changes. I experimented with many things in the past few months that made me realize this self-improvement thing that everyone is talking about is just an experiment design problem. I wrote about it here [3]. I'm continuing to improve the infra around the self-improvement loop, to increase signal-to-noise ratio per experiment. I'm also generalizing the infra to expand beyond terminal bench tasks and to collect some data across different models (harness-bound vs model-bound).
[1] https://github.com/workofart/ml-by-hand
[2] https://github.com/workofart/harness-experiment
[3] https://www.henrypan.com/blog/2026-05-25-self-improvement-ha...
https://kastanj.ch/en?mid=hn 48528779
I have been working on it for a few years. Unfortunately it is currently put on pause, possibly for the entire 2026, but it will launch, and it will be a really useful tool for those that need something like this. I am very hopeful
https://whimsy.numeracode.com, Happy to answer any questions any of you have
Everyone is working on personal agents but their identity model is wrong. They act as you, risk your reputation, your data and more. Nym is a personal agent that has (and can make) all of its own accounts and only gets selective read only access to yours.
The goal is to make reliable agents that are able to operate safely in the world to help you do what you want, without exposing your accounts and personal identity to potential harms.
For instance nyms have their own e-mail addresses at nym-mail.com, you can CC them on chains and they can only respond to people on that chain with a lease of 5 days, or permanently for people you specifically add.
World Cup schedule with no spoilers. Where you can save the teams you follow and make cal events for upcoming matches.
https://worldcup26-schedule.pages.dev/
A tech events listing page for New Zealand. Where approved organisers can freely post upcoming events and people can subscribe to hear of new events.
https://techevents.co.nz
It's full featured with agent loop, gets work done locally.
It's open-source and Swift-based, we built our own inferencing engine since every other engine is based on Python. Check us out - https://github.com/osaurus-ai/osaurus
Looking for some feedback!
- native library to build TUI apps without the 20-60MB bloat of node/bun/go
- terminal coding agent harness focused on orchestration/loops
- a small scripting language that looks like JSX but has signals and render optimizations built in
- open-source software and hardware smart doorbell for a community space
- teaching AI how to write games for the Nintendo Wii
- designing an arcade cabinet
All of this over the past 4-5 months. AI is allowing me to deploy my short attention span very effectively! This is more than all I’ve accomplished in the past five years.
Yesterday, I finally achieved blockchain payload byte-count stability from block 4 and onwards. Today I'm pulling levers to reduce the payload size. Proof-of-everything, so no confirmations needed.
https://bitcointalk.org/index.php?topic=5580132.new
https://logging24.com/landing_a/
The basic idea is to make Regex-scans so fast/cheap that "a metric" can be anything numeric in the text and "tracing" is useless because you can just log (and filter) more things. Turns out Regex at >200GB/s solves a lot of problems.
Metric cardinality explosion is immediately a non-issue, histograms have arbitrary resolution, and you can get from histogram pixels back to the underlying logs. And no need to instrument everything thrice for logs, metrics and traces.
The next big feature I'm aiming for is needle-in-a-haystack searches. The data block headers support it already, but the scan engine doesn't yet use it.
It's a side-project from our consultancy work. We're two deep technologists and so far entertaining the notion that we're very bad at (product) sales. But we're trying to learn that now.
Native macOS app, and build on top of Wireshark Libs, so you can see packet details like Wireshark, and it's much easier to use.
Open Source and License under GPL-2.0 at https://github.com/ProxymanApp/TCPViewer
It creates its own copy of your workdir for the agent to play in, and then you pull changes out ala git diffs or commits.
And it's FOSS: https://github.com/kstenerud/yoloaiBasically every game server hosting provider bills monthly, but most players don't play all the time. So I'm building instalobby with a friend to provide to gamers on-demand hourly billed game servers.
We're starting with Valheim, but expanding to more games hopefully soon.
(If anybody wants to try we are offering $1 worth of credits to every new account)
I'm also hardening my development virtual machine system. Properly firewalling it so that it can reach WAN but not the host or the LAN.
(V)RAM conscious AI inferencer/generator: https://github.com/cretz/thinfer
I've been learning Basque and wanted to see a visualization of how the semantics move into different grammatical structures when translating between Basque and English/Spanish.
Under the hood it's using Stanford NLP to analyze the input then that analysis is given to Claude to generate the data structure needed to visualize the translation. It's really cool and maybe my favorite of the itch-scratchers I've built for myself over the years.
(Xingolak is Basque for "ribbons," a nod to the visualizing metaphor used in the UI.)
It’s a small board with a ATtiny1616 and motor driver that mounts to the bottom of Behringer MF60T replacement faders and provides an I2C interface for reading the position, moving to a specific spot, and even setting up haptic detents, like a linear version of my SmartKnob project.
Perfect for making an intuitive smart light dimmer switch or a macropad.
Just need to find some time to finish making a proper video about it…
https://github.com/scottbez1/FaderBuddy
As a side project I‘m building a multi agent harness that works across desktop and mobile and solves the issue of drowning in too many agent sessions for my own workflow. Hopefully I’ll open source it soon. Reach out if you’d like to beta test it. (Email in my profile)
I've primarily been testing it by building out my AI tool chaz into an Eidetica-native AI Agent framework for decentralized Agent sessions. It's working surprisingly well, it maps pretty well onto the storage model and it's uncovering issues with Eidetica I need to fix (which was always my primary reason for building it anyways). https://github.com/arcuru/chaz
Separately I'm building OptiMap, a SIMD-accelerated hashmap repo that explores the design space for hashmaps and benchmarks different approaches. This is mostly for my own learning but I'll eventually turn into a blog post. https://github.com/arcuru/optimap
In the odd times working on my workout app, which now has agentic chat, analysis, charting abilities, workout proposals and whatnot.
https://kraa.io/about
I know that there are already way too many markdown editors out there, but I think Kraa still offers something unique in this space (combination of minimal UI, plentiful features and some unique stuff like real-real-time chat).
Example of how easy it is to create a 'community' on Kraa: https://kraa.io/kraa/trees
Also - no AI integrations whatsoever.
https://github.com/TomerAberbach/profiler-md
Currently working on a diffing feature to compare before vs after profiles.
It also comes with a skill to have a coding agent profile and optimize your code!
This is my first project that I want to release to the public, and the official instance will be free to use. I'll try to keep costs low without sacrificing service quality, and I hope to keep the project afloat with donations because I believe everyone should have the right to easily remove their data, regardless of cost or technical expertise. I don't have anything to share yet because it's still in the early stages of development, but it's looking good so far.
it's all free, open source, and local-first. you can get a hobbyist tier plaid account and sync your accounts, or use csvs. rules-based categorization, spending trends, FIRE/savings-rate health view, etc.
there's also an mcp server so you can hook it up to claude/cursor and just chat about your finances. and a "canvas" feature where you describe a financial question and an agent builds you a custom calculator for it (e.g. amortization, compounding, what-ifs).
honestly it has all the features i want so i'm not sure what's next. i have a few contributors, always welcoming more.
https://github.com/tomfunk/fungible
A complete desktop app for browsing and editing your Postgres, MySQL, SQLite data, creating beautiful dashboards, and soon designing automated workflows for repeat tasks.
[1] https://dbpro.app
I've kept a devlog of the last 10 months of building DB Pro, which has been the best way to bring users to the product. I'd highly recommend folks starting a devlog if they can.
In the UK alone, around 7.2 million people have asthma. Globally, WHO estimates that asthma affected 363 million people in 2023 and caused 442,000 deaths.
Peak Flow Meter Diary is not meant to detect every possible trigger. It will not warn you if someone suddenly sprays perfume nearby, or if a dusty bag is opened in the same room. But it could help with risks that can realistically be monitored ahead of time, such as weather, pollen, pollution, cold air, storms, and similar factors. The aim is to make daily tracking easier, show simple visual warnings and notifications, and make it easier to share useful records with clinicians.
I’m also trying to build it in a way that reduces paper, plastic, and electronic waste. If funding allows, I would like to make the project carbon-negative.
That is the bigger dream: to make a small example of how even modest start-up can think about environmental impact from the start, and use it as a practical showcase.
The pitch and full project explanation are here: https://www.kickstarter.com/projects/why5/peak-flow-meter-di...
Feedback welcome, especially from anyone with asthma, clinicians, carers, or people who have worked on health tracking tools. By now I know that my kickstarter is not going anywhere, so I would value any input was the idea that bad, or lack of marketing and accessing appropriate groups etc. I think this community has a lot of experience so I would like someone to share what could have I done better. Do not be shy to tell me if you think idea was waste of time.
- Imagined job I want to do: Teach software from the ground up, with good illustrations.
- Side: https://peace.mk/ - Create my own automation framework, because I want to make it clear what infrastructure-as-code is going to do before/during/after you run it
- side-side: https://azriel.im/disposition - a diagram generator like graphviz, but supports markdown, to visualise what infrastructure exists / will exist / will be deleted / is in progress when automation is running
- side-side-side: https://azriel.im/dioxus_codemirror - needed a code editor that supports LSP so manually creating diagrams is learnable
I'm back up the stack to the diagram generator, and hopefully soon back to the automation framework
Rust-based hybrid search engine: https://github.com/DeepBlueDynamics/lume and https://github.com/DeepBlueDynamics/shivvr
Agentic terminals: https://github.com/DeepBlueDynamics/hyperia
Desperately trying to attract new monthly sponsors and people willing to buy me the occasional pizza with my terrible HTML skills. Is it working?
https://brynet.ca/wallofpizza.html
https://github.com/csheaff/tmux-control
I found myself ditching Emacs for iTerm when running TUIs inside tmux on remote hosts. I'm trying to replicate how good tmux is inside iTerm, but it's tough. wip.
Custom python crawler getting 240 sites a second crawled and classified. ( homepages and minimal probes, no headless browsers )
Be interested to test some false positives, if you have a URL I'll tell you what I see :)
It's still early days, but I have a demo running. Unfortunately, it requires using a drop-in replacement library for CoreLocation. That alone may make it infeasible.
The goals: speed, accuracy of diagnostics (e.g. exact problem start/end position in the XHTML), clear issue descriptions including references, utilizing SARIF.
https://github.com/jpfaraco/muy
I've been building this little animation tool I’ve wanted for years, inspired by one of Bret Victor’s demos from his talk “Inventing on Principle”. I wrote about it here [1].
Basically, instead of setting keyframes and tweens, you perform animations in real time: select a layer, manipulate its properties and the timeline records every frame.
No install, no account needed. It's like Excalidraw, for animation.
I still have some ideas and hope to keep evolving it. And I hope other people find it useful for making neat videos.
[1] https://joaofaraco.com.br/en/projects/muy/
Here's a live example of it figuring out when to post on HN: https://kavla.dev/hn (spoiler, its noon UTC on Sundays)
And here's it generating an interactive map of 20000 earthquakes: https://kavla.dev/quakes
I feel like the canvas is actually a great way to interact with an agent, everything it does is visible, so auditing what it did is (relatively) easy.
I still got some credits to burn so agent usage is free atm (you still have to sign up to use it though)
I'm also reading Principles and Practice of Deep Representation Learning, Or: A Mathematical Theory of Memory.
2 person team and we didn't do anything manually beside creating the entity relationship, and briefly documenting the overall design system we wanted. Now we are sitting on an almost 80% completed system with 6 more months in hand.
Also great video, it hooked me.
Repo with video: https://github.com/monkeydust/rightmind
My mother had a stroke a little over a month ago and I don’t live close by. I went in search of a wellness product that would let me know how she’s doing without her feeling I’m prying too much. I didn’t find one, so now I’m trying to build it. I’m also working on moving closer.
The beauty is that you just need to find a device with either existing comms "protocol" (e.g., RESTful APIs, MQTT, Zigbee, Z-Wave, BT, BLE, Metter, Wi-Fi) that HA understands, or get one of the many community solutions for others (e.g., LoRaWA, 433MHz, modbus).
the interface can be set up on her phone, a tablet on a wall, and limiting things to giant buttons and displays is very easy for you.
And, you can monitor and be alerted near real time to issues of course.
This week we're working on a modular WASM build to allow others to embed Tritium directly into their own platforms. AI native startup law firms love it.
https://tritium.legal
Providing sandboxes through a CLI. Guardrails such as egress control and secret injection and audit trails built in.
We can also be used as 3rd party sandboxes in Anthropic managed agent and OpenAI sdk.
https://instavm.io/blog/self-hosting-claude-managed-agents-o...
Hister is a full text indexer for websites and local files which automatically saves all the visited pages rendered by your browser. It provides offline result previews, a flexible web (and terminal) search interface & query language to explore saved content with ease or quickly fall back to traditional search engines.
I've been using it for a few months and as my local index is growing I can avoid opening google/duckduckgo/kagi - and even websites listed in results - more and more frequently.
The initial reception is overwhelmingly positive with already more than 30 contributors and hundreds of contributions - perhaps you can find it useful as well. (Or at least have some constructive criticism =])
GitHub: https://github.com/asciimoo/hister
Website: https://hister.org/
Small read-only demo: https://demo.hister.org/
Hallways (https://hallways.lonnycorp.com) - a web browser for 3D spaces, where instead of hyperlinks you have portals that you can seamlessly walk through
LonnyMQ (https://lonnymq.lonnycorp.com) - a performant, production-ready TS PostgreSQL message queue library and accompanying blog post that walks through its design (of which I'm quite proud of)
https://barndoor.ai/
Been doing this to improve/simplify the grammar for Trilogy[1], a streamlined SQL language - I’ve been planning a redo of one feature and it’s nice to be able to rapidly get feedback on various syntax success rates. Also been particularly useful to optimize error messages, which should help people too.
[1] https://trilogydata.dev/
One is a TRS-80 Model I emulator in JavaScript called Trash80. About 10 months ago I started this project just for fun while experimenting with what now seems to be called agentic loops. I got things working pretty well with the Z80 passing the ZEXALL suite and a lot of real TRS-80 software running fine. It sat for months untouched before I decided it is worth releasing and recently started it up again.
I didn't want to release it without a ROM, so I rigged up some agents to build a clean-room style L2 ROM w/ a fairly complete BASIC and even readline-style control commands, history, and a proper cursor. That went very well, but the agents cheated on floating point and implemented some weird Q5.2 like-thing. I told them to fix it, but I guess I didn't give clear enough instructions because they replaced it with a BCD hybrid monstrosity instead of proper floating point. The proper floating point is now underway, but I'm mostly using excess Codex credits before they expire, so it's only moving forward when I have credits I don't need.
I also built a silly ASCII fractal browser in Z80 assembly so that I can ship with a virtual disk that has software on it. The emulator works in the browser and the terminal. Unicode sextant block graphics map very well to TRS-80 Model I semigraphiccs/squots, so it really does run everything very well in the terminal, even games. I also added a line-mode for line-based applications, so you can use a readline-like interface and feel like it's native terminal app as well, though that has some issues I need to fix. And of course, you can shebang TRS-80 BASIC files and run them through the emulator too.
Another project was a demo of chromesthesia, a form of synesthesia where sounds trigger experiences of color. I thought it was done and ready to release, but then I had a new idea. The visualization while cool, was kind of boring. I decided to replace it with an attempt at a semi-physically accurate cymatics simulation with artificial coloring based on chromesthesia. Cymatics is the practice of making sounds visible by vibrating a surface, such as a plate with sand on it. As the sound changes, symmetrically interesting patterns form and evolve. I've got something working now with wave generation and microphone input, but sometimes it gets a bit stuck and stops evolving as it should, so I have to find time to figure that out.
Currently all unreleased, but when they do release it will be at www.leshylabs.com. I sometimes post updates on X, but not too often. (https://x.com/LeshyLabs)
agent-vault-proxy is a local proxy that injects real secrets into requests in-flight, so a compromised or prompt-injected agent has nothing to steal, feedback welcome: https://github.com/inflightsec/agent-vault-proxy
Crossed over 100K MRR and I'm shooting for 2M ARR by the end of the year. Growing something in this stage is totally different from making it go from zero to one so it's an interesting learning curve. AI has also changed the calculus as well where it seems less crazy to try and do this sort of thing. Time will tell!
I'm also rebuilding an integrated task/knowledge/publication system I'd previously built atop Gemini's Gemtext format. While I loved the simplicity, I've discovered that there are lots of burrs in that design, especially on the publication side, which I'd be able to lift by using a more fully featured document format like Djot.
With this framework, I'm making (among other things) an early literacy app at https://letterspractice.com. My aim here is to hit >= 75% efficacy of Mentava at <= 1% of the price.
The app is near to production readiness, and I'd be happy to share access now with anyone who has verbal but non-literate kids. Be in touch if interested at colin at letterspractice.com
https://flopper.io
Aside from that, I've launched a new tool that tries to promote Solar panels. The UK has some of the most expensive energy in the world, so I've been trying to let homeowners and building managers understand if their building's are suitable.
Uses some APIs all plugged together - including the DEFRA datasets for DSM (LiDAR from planes).
https://solarable.org
The last few months I’ve been reading a lot about neuroscience behind learning and practicing music and I’m fascinated by the subject. It has helped me realise why the app works for me, as well as my own mistakes that held back my progress for many years despite putting in decent efforts.
It was a much needed inspiration to continue working on it with a re-evaluated roadmap.
I recently wrote a blog post about it - https://www.captrice.io/blog/what-makes-captrice-work.html
Most agents for durable workflows feel like toy examples. There is no "Codex" or "Claude Code" for, say, Temporal. So I'm building full-featured agent for these runtimes. Why? Because it makes long-running agents easier to operate and scale. Currently, all frontier harnesses need to run inside a guest OS and need a dedicated process, this is quite challenging to orchestrate and maintain.
To make it work, I had to figure out what part to run as deterministic workflow code, and what part to run as I/O or side effects (aka activities). I'm using a CAS for most of the payloads to maintain a lightweight footprint in the workflow code.
Currently supporting skills, MCP, prompts, a virtual file systems, and soon sandboxes.
https://github.com/smartcomputer-ai/lightspeed
Today I caused thermal runaway on a BLE thermal (sic!) printer. That melted half of its components together before I noticed. The fun fact is you can do that witouth authorizing, as long as printer is turned on "poof".
Now I'm trying to figure out a BT protocol if DJI Power station, so I can read and track its metrics.
I wrote an improved driver'ish for cheap 5G modem recently. I've been on the last 5% stretch for few months lol.
And I started reverse engineering my LandRover OBD/CAN stuff, so I have some data to publish for other hakers.
The service is composed of two open-source services, namely a Nextcloud app (Astrolabe) and backend (nextcloud-mcp-server). I use the service as an MCP server across a number of apps, and others use it primarily for semantic search over large numbers of documents.
Both are open source, and I'm working on a managed offering, completely based in the EU, for individuals/teams that already use Nextcloud and want to be able to use semantic search across some or all of their documents.
Essentially your data stays in Nextcloud, and the MCP server backend keeps a vectordb in sync to enable semantic queries over your content. The number of supported apps is growing, including:
- notes
- deck cards
- files
- news items (RSS feeds)
- cookbook recipes
- contacts & calendar
And I'm adding support for other apps as I go.
It's Agentic QA + auto-provisioning sandboxes. Makes it plug and play to do code reviews that actually run your code instead of looking at it really hard. B/c the agents control all of the environment (ie running all of the services), it's able to collect runtime evidence about pretty much everything.
A couple open source examples: (Excalidraw) https://app.ito.ai/share/d1cb1475-fbe5-4c71-901b-409ba2aa6d6... & (n8n) https://app.ito.ai/share/bb7d73aa-fd08-482d-9938-87938e2a232...
My goal with this language was to pick a set of primitives to compose and express as much as possible.
I don't have a demo up yet but if anyone was curious https://codeberg.org/lilbigdoot/gloo/src/branch/thinkythough...
The two main features I am missing right now are recursive types (I want to do proper mutual recursion and have been procrastinating) and some form of type classes or implicit modules. Structural typing has been useful and I'm finding a lot of features are falling out for free from that.
Long term goal is to create something with performance within a reasonable range of C# / Java etc generally, with tools for opting out of GC. I don't plan on chasing zero cost memory safety, since I want to spend my "budget" on tooling and expressiveness.
Until the language semantics stabilize I plan on generating some pretty naive JS/TS to play around with real programs, and eventually target .NET and native (likely via C++ transpilation)
https://splat-3d.com
Currently in beta, working out some pipeline optimizations. Looking for people to test! Feel free to try it out, join the discord, etc. Looking for feedback on the experience, reliability, etc.
The goal is for folks to be able to tune their own pipelines, right now I am working on adding more API params/knobs. Looking to build a good capture guide too, since most folks struggle with capture IMO
Working on it has been a joy as ad-blocking tech touches so many aspects of software engineering - from systems and security to the intricacies of JS environments in browsers.
Benefits-wise, system-wide filtering disables ads and tracking not just in browsers, but desktop apps as well (which you'll be amazed how much they do). It's especially relevant now as Google is re-activating their efforts to hinder ad-blockers by killing Manifest V2 in Chrome. So much of tech is actively bleeding cash on AI right now, which means the efforts to screw over users will only accelerate. This makes something that sits at the network level indispensable imo.
- https://altitag.com: A real estate photographer can upload a drone photo and get points of interest pins overlaid on the photo using EXIF data. The annotations help provide some nice neighborhood context without needing to open up Photoshop.
By default, home page gives all models in the leaderboard, local and hosted. Search for models in the search box on the home page to find the top models by ranking, local(by size) and hosted (by price).
You can also do deep querying/sorting/searching filters of models in each of these three nodes (see the other tabs on top).
The next steps I am working on (would love feedback on this or anything else):
Phase 1: - Change clicks on home page model tiles in one column to search and show models filtered by that across Artificial Analysis, Ollama, OpenRouter - User specifies their system VRAM (unified/dedicated) and we automatically filter the home page with models that would fit on that RAM - in the three columns. - User specifies their price range (per MTok, max across input and output), and we similarly filter and rank by those models across all columns. - User specifies both (VRAM and price range), and we filter by both - leaderboard is union of local and hosted, local by VRAM and hosted by price range match.
Phase 2: Once I have this working, add a local desktop client that automatically reads user system and infers VRAM, renders app as webview. Considering pyside6 with Qt for this.
Phase 3: On desktop client, user can download and chat with the local models automatically based on leaderboard, optionally call hosted models, etc. Used primarily to evaluate and compare local vs hosted models for user's use cases. Also have some interesting alternate experiences to host within the local private app for user to interact with llms, agents, etc.
Do let me know whether this seems useful, or how I can make it more useful.
We go back to the question of 'what does best actually mean'.
It’s a complete redesign from scratch that combines Mac and Windows into a single codebase via Dioxus (right now they’re two completely separate codebases).
Existing app is at https://www.digitalrebellion.com/posthaste
https://waboost.com/
We are in the process of writing our own vertical stack with Go to control the machine instead of expensive and handicapped solutions from Siemens and etc.
Fair point though - "we illustrate" could be clearer.
would really appreciate testers but also any companies thinking about distributed inference powered by their own company devices on a private network. my own company has 200+ 16gb ram machines that we're using for inference.
You play a duck in a small shared town. You pick a job, pay rent, post on a Twitter-style feed, vote in local elections. The simulation keeps running when you close the tab. No PvP, no loot boxes, no combat. Playtime is a few minutes a day by design.
Modules are simply folders, and the tool just reads from stdio and outputs to stdout. Runs are stored in simple text files with all the info of inputs, outputs and other metadata.
https://github.com/vichoiglesias/kern
- vibesurfer (https://github.com/frane/vibesurfer): a web browser for agents, without Chromium and CDP.
- agented (https://github.com/frane/agented): a “text editor” for agents, with undo, state, and LSP support.
- grpvn (https://github.com/frane/grpvn): a local chat for your local agent and LLMs.
https://packagexray.com/
https://github.com/solomon-b/lambda-calculus-hs
It works well for me so far and I’m pretty happy with it!
Anyway, I’m working on my manual skills of soldering.
Anyway, soldering as a service is nothing to worry about so you're good either way.
We’re live in 3 stores and it’s working great.
The system has two parts: a mobile app that lets employees snap photos of products to generate and publish listings, and a hardware box that sits inline between the barcode scanner and POS to track in-store sales and automatically remove the corresponding listing when something sells
We’re live in 3 stores and it’s working great.
The system has two parts: a mobile app that lets employees snap photos of products to generate and publish listings, and a hardware box that sits inline between the barcode scanner and POS to track in-store sales and automatically remove the corresponding listing when something sells.
[1] https://hyperclast.com/ - open, fast, self-hostable replacement for Notion
Maybe allow a new user to view previous data for their specific investment.
https://bedtimebookhelper.com/
In the mean time, I’m working on a recipe application I’ve had countless false starts on. It’s centered around iterations and version on recipes, tracking changes to ingredients and directions to build new a new recipe from an existing one.
I’m starting with a go Bubbletea tui this time and I’ve been having a lot of fun with it compared to the React SPAs I’ve tried before. Not feeling compelled to style anything while working on the UX has been nice.
https://github.com/agentify-sh/gateway
I’m doing composable and dynamic global profiles which are selected based on what you’re doing.
https://github.com/elleryfamilia/rosita
It started out as a project to try Fable. It wrote a lot of the code and I am learning as I go. I am still questioning some of the design choices but so far it is working. I do want to improve it, so any feedback is welcome.
I also just posted a new blog post on trash valorisation: https://stefan.schueller.net/posts/kva-winterthur/
https://github.com/Kapperchino/agent-joe
[1] https://apps.apple.com/us/app/reflect-track-anything/id64638...
I sometimes need to have a quick but realistic model of an optical system without paying a few thousand for some of the well known commercial offerings, so I've been building this.
It's not signed yet, but I have included the results of a Hybrid-Analysis scan and I am verified by Lemon Squeezy for the full version.
It currently exists of 12 libraries/tool, most of which are pretty stable by now, though some are still very much in flux.
This is one of those things that turns out to be kind of a lot of work. :-)
in the process, figuring out some tricks for getting opus to work with 3d a bit better
two tricks ive found is to:
1. get claude to present all the orientations to you, then pick which one after 2. convert 3d problems to 2d ones - get it to draw streamlines describing the geometry, rather than trying to look at the whole thing in 3d
fable was a fair bit better at working in 3d than opus is. well, opus mostly isnt
HTML/artifact canvases have a lot of potential
https://x.com/backnotprop/status/2064951065439834378?s=20
https://x.com/backnotprop/status/2065436433985474726?s=20
https://github.com/plannotator/effective-html
Shared context workspaces are important
https://plannotator.ai/workspaces/
https://github.com/plannotator/tot
Strictly human content, pagination instead of endless feeds, one-off payments instead of subscriptions, linear feed by default, public profile scoring instead of secretive algorithms.
Hope to share it soon around here, too.
https://store.steampowered.com/app/4069810/VERDURE/
- https://github.com/rumca-js/awesome-database-feeds - list of RSS sources
- https://github.com/rumca-js/Internet-Places-Database - list of domains
- navigation without GPS and Internet
- GIS with tokenized raster layers so that LLMs could easily talk to the maps
As it's open source and built with a codebase that's easy for LLM's to work with, users can download it and tailor it to their business/operational requirements, although it also has out of the box 'industry best practice processes' so you don't have to reinvent the wheel and can only focus on writing the 10% custom stuff which differentiates your business.
As all the processes are flexible, you can also do proper 'continuous improvement' with your staff - something traditional WMS products struggle with.
No link because I'm finalising it at the moment, but if you are interested please reply!
https://toge.app
The idea is to handle the whole thing, from meeting up at the start point, to multi-day trips, gas stops automagically planned in where you need them.
iOS only right now, Android support is planned but not a priority.
It's a bit of a passion project, as it solves a bit of a "personal" problem, I realize its niche.
I am also not a software engineer, but a DevOps engineer, so it's _entirely_ written by Claude in Swift + Swift UI, Typescript for the backend.
The marketing aspect of the app would be key - the app store is crowded for convoy tracker apps - but hardly anyone is framing the "friends" angle. Good luck!
The idea is decompile something like Wordperfect or Framemaker, then port the NeXTStep code to GNUStep and have WP on GNUStep/Linux.
I've tried some alternatives, but Modern for Hacker News seems abandoned. Harmonic is great (they just released v3 as well), but it's Android only. According to Firefox the extension has a grand total of 2 users, with one of them being myself.
https://github.com/ewsbr/fancy-hacker-news
edit: ah, yes also a broker controlled component manager that can start, stop, monitor services over the mentioned broker. This is the carpet that brings the room together.
https://github.com/Fingel/gelly
Also built out a .fits parser that uses rayon to decompress in parallel making it about 5x faster than cfitsio.
https://www.pedaldrivenprogramming.com/2026/06/8x-faster-fit...
https://www.codako.org/
It’s founded in Rust and incorporates a Deno runtime for extensions.
It’s headless now, via JSON-RPC. I’ve got the basics of a trait based system which will enable different frontends. At the moment, I’ve created an extension for `pi` which allows me to use that as the frontend.
I am interested in a similar tool and it would be nice to skip some of the learning
https://fata.dev
You can try the first module of any course without login, all beginners courses are free after login, a subscription is required for advanced courses
TUI based interface to search in your files very quickly. I created it from the need to have an equivalent of voidtool's Everything on Linux. It's a bit different though because it's keyboard based. You define zones where you search for files most of the time, and you can manage previous files history. Then there are actions you can perform on each file/folder.
It's called Vocast: https://github.com/cnrmurphy/vocast
Thinking about adding some things like queuing RSS feed items to be converted to audio and a feature for being able to do the conversion from my phone.
And been working on a Mario-with-guns game concept: http://devz.cl/posts/what-if-mario-had-a-gun/
Thought it’d be a short concept to get from start to finish but the things you need to implement and plan for in a video game can be near infinite and decision paralysis is a real problem for me.
https://www.givedirection.com
Just getting started really and you can see a bunch of the stuff I post every week on our Youtube:
https://www.youtube.com/@givedirection
It’s going really well so far in the second month, to the point where I now have an advanced class and some possible organizations lined up that want me to help to train their staff.
I need to fill up my classes or get org contracts so tell who you know.
The cool thing also now is that we have a small community of builders in the discord that have shipped so it’s good to see people working together.
The idea is simple: Its handle of the complexity for AIOps infra like GPU VM provisioning, NVIDIA driver setup, Docker setup, model download, and launching the inference server. User can run any OSS and AI tools inside their cloud.
website + video demo: https://www.dagploy.com github : https://github.com/dagploy/dax
Repo: https://github.com/paperclipinc/mitos
Website: https://www.asfaload.com/
Code: https://github.com/asfaload/asfaload
• A visual moodboard and notes app that uses local models to link and surface content, a bit like an AI powered Memex.
• A new UI design tool for Mac/iOS with deep support for design systems and AI agents.
• A CMS and static site generator that runs entirely in the browser. Download the site as a zip or publish directly to GitHub/Netlify.
https://github.com/sparktype-project/sparktype
Specs/area are not the focus currently. I just want to build a few useful blocks with it (e.g. analog summer, filter, ...).
an open source technical interview platform built for modern interview workflows like takehomes, agent coding sessions, as well as the standard leetcode-style questions.
I’m building a home server. This was something I put off for years due to some perfectionism. Eventually I just threw together something with old hardware and headless Ubuntu. Much to my surprise, the power draw is only about $4 a month. I can live with that so no need for specialized hardware.
I’m doing the common -arr stack using docker compose. I’m using plex because the jellyfin doesn’t work as well on an Apple TV.
Having a server running is nice. I can set up some stuff on a whim. Most recently was the Mealie recipe manager. It’s great knowing my data won’t be paywalled. I’m using syncthing as a simple backup method between my devices - everything but media of course. It’s fine if I lose media.
An unexpected benefit of having the server is that it inspires my wife. She decided to give vibe coding a try. She’s an artist, not an engineer, but with a little help she was able to make a task tracker for us. She tailored it to the way we tackle our tasks and, again, it’s really nice knowing it won’t get paywalled in the future.
I’m still burned out, but having a server to tinker with is helping.
https://store.steampowered.com/app/4810350/Medusas_Gaze/?bet...
Created with 0 AI assets
Kind of curious how other people are using agentic code tools for game dev!
The project is currently 100% vibe coded with codex\gpt-5.5, but after running some experiments, I'm working on replacing some of the vibe coded SQL engine with Apache Calcite.
https://github.com/coldentry/Specter
hack music
For curiosity: https://airplane-ai.franzai.com/ based on Gemma
For profit: optimizing my virtual desktop in the cloud setup for AI First workshops
[0] https://cybernetic.dev
[1] https://github.com/sveltejs/svelte/issues/17176
https://novian.works/voice_test/
https://ben3d.ca/blog/proof-of-possession-api-tokens
And on a new post about how to design web apps for the AI-era for my blog: https://mliezun.com
https://github.com/kronotop/kronotop
https://aptakube.com/
It takes your instructions, write a versioned spec, then generates a hybrid workflow of code+LLM calls and protects it with tests/evals
The result is that the agents run much faster (90% of it is code), cheaper (LLM steps are scoped tightly and uses smaller models) and reliably (specs get turned into coded state-machine)
https://v5.filepond.com
It let's developer do test planning and testing automation using their coding agents. The records of the testing sessions are then shareable and can be added to PRs, giving the reviewers visibility into how the feature works, what scenarios are handled and tested and what might have been missed.
https://josh.works/traffic-bean
Wrote up more details at https://openrun.dev/blog/service-binding/
Not technically released even though the site is live, but close enough to a beta at this point.
https://phials.phoundry.app/
It sends me an email once a story hits a certain number of upvotes per minute, so it's useful for keeping track of breaking news.
It'll also soon allow you to get alerted to specific words or phrases in titles. (I have one set up so the monthly hiring threads notify me as soon as they appear.)
https://hnalerts.com
So do you get one email per-story that fits this criteria? Or is it some kind of roll-up?
It checks every 5 minutes, and if more than one story happens to meet the criteria during that 5 minute bucket then it'll put them into one email (so the "hiring" checks appear in one email). But in reality because it's rare that 2 stories will trend within the same 5 minute bucket it ends up being one email per story.
- LLMs (any OpenAI compatible API, vLLM, LM Studio, etc.) - image gen + image edit (flux klein) - text to speech (magpie, dia with voice cloning) - speech to text (OpenAI audio transcriptions + riva compatible) - image to textured 3d model (trellis2) - image+text to video (ltx2.3-gguf) - text to music (acestep)
currently it is just me and Claude vibing. While using Fable 5 moved all of my local inference services to k3s across 3 RTX 4090 PCs and my DGX Spark, now I can just tell Claude/Hermes/etc. to start and stop services.
inference.club is built with Tailscale's tsnet library. It is sort of like an OpenRouter built for different types of local AI models. inference.club also lets you showcase and share generated content. For example here is 90 seconds disco funk track generated by acestep: https://inference.club/s/Vxm6ozW24oBs_JGbPcq7tA
I was inspired by AI Horde, and wanted to see if I could build something that could support all of the model modalities that I use for generating short-form AI slop content on local hardware. This is also similar to Hugging Face Spaces, but running on consumer hardware with a common API. I've been watching the quality of local AI inference making massive improvements in quality and performance, and I want to make it easier for people to try "local AI" even if they don't have a GPU.
I’m making a baby book for my son Henri featuring famous Henri’s through history.
I’m also building a zigbee free/busy eink display that only needs to powered once a year or so
The idea is to make querying ClickHouse feel more like using a polished desktop with ClickHouse native features :
It’s built in Swift/SwiftUI with Monaco as the SQL editor.
Screenshot: https://ibb.co/gbW4rW7G
https://www.kickstarter.com/projects/taikohub/taiko-01-keybo...
https://brodlist.com
When YouTube was new, a guy named JT Helms made that top one (Once Upon a Time in the West cut to Arcade Fire) and when Bruce Springsteen was asked if he liked anything on YouTube, he said that. And it made me happy because it was my favorite too. And I thought we were on the cusp of something like a new art form.
I still think that. I'd like to see short films shot to music as well.
https://raygum.com
If you have a business that relies on reviews, I'm looking for a beta tester!
GetSetReply.com aims to:
1. Get you more reviews
2. Avoid negative reviews
3. Respond to reviews
You can email me via my email in my profile.
Last few years of Congress: https://andratwiro.github.io/riot/?city=congress&solo=1
Reichtag during Hitler's takeover: https://andratwiro.github.io/riot/?city=weimar&solo=1
Re-reading the Lean Startup to hone our GTM, market validation and growth engine.
(mathbreakers.com)
https://nicolasbouliane.com/recipes/holunder-syrup
https://28times.com
https://odeva.app
https://github.com/panyam/mcpkit
https://github.com/pkhamre/opencode-docker
I made Docker not suck for large images. 2-10x faster depending on the operation. I’ve spent the past two weeks burning down the last bits needed to release a BuildKit integration.
https://github.com/beeb/swpui
I am looking to build a platform that allows for real interview workflows like takehomes, agent coding sessions, as well as the standard leetcode-style questions
An open source audio interface along the lines of a Scarlett 2i2.
https://typequicker.com
You start a task in Claude Code, and it automatically matches you with a random dev who’s also waiting on theirs.
You can chat, skip, or end the chat anytime.
http://github.com/DevRoulette
- No sign-up required & no ads
- Live PDF preview & instant download
- Flexible tax support (VAT, Sales Tax, etc.)
- Fully customizable invoice templates
- 120+ currencies & multi-language support
- 100% In-Browser
So I made my own dictation app. Supports arbitrary API providers (e.g. Deepgram, Speechmatics, Elevenlabs), Offline models and a subscription if you want it. Otherwise it's free forever for BYOK and offline models. Deepgram is a YC startup from 2016, and have models that are genuinely good - so it's up to you if you want to use them.
Also, Granola doesn't let you read your own meetings after 30 days. So I added a feature in DuckType to import your data from Granola, unlocking all your meetings from their paywall.
Another app: OpenCook https://open-cook.com/ . We curated and wrote our own recipes into StashCook, which requires a subscription just to read your own recipes on the web app. So I got Codex to extract our recipes and rebuild one that is open source, OpenAPI and includes AI features.
This won me 1 year of GPT Pro at the codex event :)
I hope you can tell... I'm tired of companies designing their products to lock you in, to charge you more, with no added value. I build software for people like me. So I'll be building more apps that replace this user hostile software.
if you have built coding agent in the past using mastra, what are the problems you have faced with mastra? does it support complex branching/context trimming and other features required to efficiently manage context for AI agents?
CRM with agent baked in that can properly do stuff. No idea why attio/twenty are soooo bad at this. It's a table. getcrme.com / https://github.com/ChristianSch/crme
and gargoyle, an activitypub server with a (theoretically mastodon compatible UI) https://github.com/myfedi/gargoyle. Was annoyed at the homogenous fediverse dev teams out there that don't want their precious service federate with others. I want more federation (tested it with bookwyrms and lemmy for now. Mastodon/GTS also working ofc) and a pretty UI and not waste time with weird identity politics. You do you. I want an open fediverse, not a filter bubble. And GTS was too hard to hack on.
A very simple idea: when you eat more than your maintenance calories, you gain weight; when you eat less than your maintenance calories, you lose weight.
By using an algorithm, we can accurately figure out your maintenance calories more accurately than traditional regression based formulas like katch mc ardle.
It's way more accurate than calorie burn tracking devices like fitness bands and watches. (garmin/apple watch etc...)
MacroCodex helps you spot dips in maintenance calories from metabolic adaptation, then auto adjusts your calorie target and macros so your plan stays aligned with your real maintenance calories (TDEE).
It's very useful to those who find it hard to gain or lose weight.
it's a completely free app, no paywall, no unnecessary data collection.
Already reached 13,000+ users
Perhaps the more interesting bit is that it's in Java (not Typescript or Rust)! Java 25 is pretty neat. Bonus: getting to know how to distribute a self-contained Java program using jlink and the likes: https://docs.oracle.com/en/java/javase/17/docs/specs/man/jli...
The hard part is doing it without modifying WP, and serverless mariadb that can scale to zero.
So far, I have mostly feature-complete implementations of the following, which are faster than the state-of-the-art implementations, up to 20x faster in some cases while matching or beating them in quality:
- a new 2D data visualization library, along with more bespoke data viz implementations such as word clouds and Primitive.
- programmatic image generation
- image compression
- a new statistical machine learning library, along with more bespoke algorithms such as UMAP and HDBSCAN
- a novel modelless invisible image watermarking approach
- a novel machine learning approach which may be a crime against data science but the performance is really good
- local text embedding generation with MLX
- image-to-ASCII art conversion
- grep/jq replacement (faster than ripgrep)
I aim to open-source them over the next months but the main bottleneck is the inevitable barrage of "gtfo AI slop" comments even if I dot every i and check every t, in addition to the distribution of new software being extremely difficult nowadays due to the death of social media and "20x faster" raising red flags even if I have the data to justify it.
The nichest of niche social network clients. It's for people in one particular country, who watch one particular TV program, on one particular day of the week.
Now that the cost of writing software is zero, I love that my focus have moved from vain attempts to generate passive income to just building whatever random shit I feel like. Wish I'd made that choice earlier in life, but no worries!
https://m4gr4th34.github.io/dossier-001/paper.html
i've massively improved a bunch of things like the AI filter, which now gives you the option of filtering out github repos with AI authorship.
Also improved comments, which I'm serving through my own backend which has made loading of comments super fast, and it's going to be the foundation for some really great other features coming soon.
Soon: HN feature parity via browser extension and sync'd accounts.
In the last month or so I added a few nifty features:
- Auto-scan functionality: Instead of having to click on cards to discover what they are, I can now do whole-frame detection on an interval (configurable), so players can mouse over the webcam stream of another player and automatically see what the actual card is. Super helpful for deciding who to attack and makes turns quicker!
- Card view is now grouped by player, since auto-detection will populate a lot of cards during the course of a game.
- Switch the video stream to Livekit from my homebrew version. Players were having video trouble and I hope Livekit is good enough so solve that problem.
Next up: I really want to build a community around this, and I'm struggling on getting the word out to people / having them try it out. I've done some SEO and word of mouth advertising, but haven't had much luck. I feel like I need to switch directions a bit. I'm a developer by trade, so this is wholly new to me.
Come check it out: https://cardcast.gg
> Guild manager for my MMORPG guilds with Discord integration
https://www.tirreno.com
Deliberately no ads, no subscription, no tracking, works offline.
I made my own firmware for the little AI assistant esp32s3 AI balls you can buy from Ali Express. https://www.aliexpress.com/item/1005008627679270.html
Made a version of Infocom adventure frotz player to work with voice control on the AI ball so I can play Planetfall using voice control.
Made a toast alerter for Linux terminal command line.
Made a thing to alert you when someone signs in to a Linux server.
- A hand-crafted browser game-engine and game for the engine, with things like determinism at the core. I will be launching soon and can't talk too much about it yet because its quite novel. It actually has quite a few novel ideas within. Very minimal usage of AI in this project, I've been working on it for ~6 years now. A bit toooo long.
- A pure slop-crafted browser extension, because I paid for claude code Fable and it got rug-pulled so I am burning my tokens on a 100% slop project just to see what hands-off coding is actually like. A slight distraction from project 1 I do when I'm feeling a bit burnt out. Super fun so far proc-gen type stuff. Derivative
Continuing development of online training for software testers, with a heavy emphasis on AI, since that’s where the demand is.
During a livestreamed demo yesterday, I ran into a ridiculous bug in Copilot for Excel. After all these years Microsoft still can’t manage the basics of reliability and still deny that they need good testers.
indiesecurity.com
screen.cam records your Mac and turns it into a polished video. Smart zooms follow your cursor. Filler words come out automatically. AI-assisted YouTube uploads.
https://gergltd.com/aperturelab/
When people deploy python and perl code, they have to either export their entire environment, or build a container. The latter is not possible in a number of deployment cases, and the former carries all manner of dependency radius gotchas.
So I am building (ok, I am prompting/testing/reviewing, the agent is doing the heavy lift) compilers for each of python 3.14.x [1] right now, and perl 5.42.x [2], that can generate static code.
Early stages, perlc does work well, pyc is a work in progress.
[1] https://github.com/joelandman/pyc
[2] https://github.com/joelandman/perlc
https://legitize.app/
still very early and im trying to keep it very affordable, since the whole point is I dont want people wasting their money on hustles that were never legit
There’s a Unix CLI tool that implements an accurate version of this… check out /bin/yes.
> gmd indexes local markdown with full-text, vector, and hybrid search on Typesense; web search, fetch, crawl, and research; llm-wiki pattern and agents; local or cloud.
On top of that, it's lead me down the rabbit hole of a 1995 (limited) theatrical movie called Mr. Payback, which may have only ever existed on 50 sets of laserdiscs distributed to those theaters. I'm hoping to track down a copy of it... if anyone had any clues on that one, I'd love to hear them. I'd purchase a Domesday Dupe device and dump it. But it may be a genuine lost movie.
For example, I was inspired by the activeness of typelit.io when reading - typing out an entire book helped keep my mind from wandering when reading. But typing the whole book is too tedious. I wrote a few scripts to mirror the words on an epub, which does help with focus but isn't quite good enough.
My current epub reader software I use requires you to press a button to reveal the next word. This has dramatically improved my reading comprehension, prevents inadvertent skimming, and keeps my mind from wandering.
I'm still experimenting but for those who have ADHD or are borderline ADHD, it's quite a revelation - I can finally read without my mind wandering.
C++/python/networking/systems/web developer for 30 years with plenty of free time
https://news.ycombinator.com/item?id=44417888
https://news.ycombinator.com/item?id=42157556
https://news.ycombinator.com/item?id=48531359 (new, no posts yet)