It started because I wanted to get back into making games, a hobby I've struggled to find time for over the years. I wanted to give agents a goal, let them work for hours, and come back to something I can actually try and give feedback on.
I've since used it for game development, research, and building other tools, with some runs lasting over 20 hours.
It's still early and rough around the edges, but I'm having a lot of fun with it!
https://ramigb.github.io/epoptes/ And some footage of a game I am building -mainly- with Epoptes https://www.youtube.com/watch?v=1UEOr8B4Yfg
University of California San Diego has deployed our Wayfinder and Waystation web apps for their 35,000+ students!
We're getting ready to launch our Vehicle Positions software, which replaces expensive, proprietary vehicle location systems with free, open source software that runs on commodity smartphones.
Our next-generation server software, Maglev, is adding support for newer transit data formats, like GTFS-Flex so that we can show demand responsive transit systems on the map.
We are always looking for more developers, biz dev, ux designers, product managers, and more to help out!
Open volunteer positions: https://ossvolunteers.com/organizations/open-transit-softwar...
Our software: https://github.com/OneBusAway/
More about us: https://opentransitsoftwarefoundation.org
Shall be volunteering, thanks for sharing and keep up the great work!
https://github.com/pullboard-dev/pullboard
Instead of vibe coding and babysitting agents, just ask and move on. I have a larger vision for how this will work, but I basically want to help more people start businesses, make projects or get that entrepreneurial mindset.
Excuse the cringey LLM copy, I'll rewrite soon. Any feedback is appreciated. Tons of w̶o̶r̶k̶ prompting left to do.
https://chartrow.com/quote/msft/trends
And showing groups of stocks on a single page like this:
https://chartrow.com/top-performers#view=charts&p=ytd
https://chartrow.com/top-performers#view=heatmap&p=ytd
https://chartrow.com/top-performers#view=calendar&p=ytd
It's interesting to see some AI stocks reverse their trends in October 2026:
https://chartrow.com/top-performers#view=calendar&p=ytd&in=n...
https://extremepuzzlebooks.com
A sample wordsearch is available as a pdf here: https://extremepuzzlebooks.com/assets/sample/extreme-wordsea...
I'm quite proud of this wordsearch concept as I've not seen it done before.
All the logic puzzles have an online solution to show step by step how you can complete them.
https://extremepuzzlebooks.com/walkthroughs
I've been working on the software to generate, test and verify these for a couple of years and finally built up enough puzzle stock that meets the difficulty requirements to properly launch.
Now the work is on every hackers favourite part... Marketing!
A singing training app for bad singers. You sing the pitch line and get a score. Let's you sing to any original song by listening along and not playing the song itself.
Recently got some good feedback on HN https://news.ycombinator.com/item?id=50195488 and am following up with Linux and Windows versions and using Fable 5.1 to internationalise the app and landing page which explains the app.
For me the coolest part is that it's claude's memory, so it actually develops a self identity too and gets to know you better over time. So that opens up new things, like I wanted to keep session cache from expiring so I just told it "when I type ping, just reply with pong" and because I used it several times that day, it automatically strengthened the memory and now it just does it. And if i stop doing it for long enough, it'll automatically fade away.
No stale files, no hundreds of md docs, and what it knows about me isn't limited to the 1 page built in memory file (both work great together btw, no need to choose). It's free, open source, and totally local, no api keys.
Building a working CAD software based on my own geometry kernel, Aetheris.
https://github.com/yuechen-li-dev/HeliosCAD
Since it's code based CAD for LLMs first and foremost, I'm trying to add visual programming into the UI, as well a new way of drafting that's closer to how mechanical engineers actually do sketching called IntelliDraft.
Other is the Concept programming language, as a successor language to C++, based off the idea of C++20 concepts, with templates, comptime, Einstein tensors, async/await, explicit state machines, CPU inference, Vulkan, easy C interop, and safety proofs built into the language itself.
https://github.com/yuechen-li-dev/Concept/
Currently still compiles to C11, self hosting is in progress and targeting AMD64 right now, but it'll be a while before finished since this is a difficult project even for frontier LLMs.
Use this to quickly get sleepy without taking any medicinal pill or long form meditation type things (It is as short as 7-minute session).
Easy to use. Simply close your eyes and imagine the micro-scenarios you hear. Like if you hear "moonlight on a white flower", imagine that scenario until you hear the next one.
You may also use it to break nightly doomscrolling habit. Try this tonight! (and any suggestion to improve it?)
I noticed that the later prompts tended to feel a bit irregular in their English: “Pebbles on bottom of stream” is one that I remember; “bird in small nest” might be another. “Pebbles on the bottom of a stream”, and “A bird in a small nest” would have sounded more natural.
I may be a little outside your target user base: I tend to fall asleep very quickly. (I joke to my spouse that by default I don’t have much happening in my head, and when it’s time to sleep, I just “listen to the dial tone.”)
One parting thought; I was pretty skeptical when I first started listening, and about halfway through I was gamely doing the visualizations, but mentally rolling my eyes (“This would never work!”). Around the 5 minute mark I noticed that I was in a fairly meditative state, and the app could have told me to imagine I was a being of light and I probably would have.
Around the 6 minute mark I noticed that I wasn’t really paying attention to the prompts at all; and I think it was only the weirdness of the English of the prompts around that time that kept me awake.
Overall a little weird, a little fun. Thanks for building and sharing it!
It’s been sort of a whiplash experience, but ive been so much happier building this business than I was working.
Real estate is a space that’s very close to me, so I was able to see the demand for a product like this long before I went searching for it.
I’m not alone in the space, but we’ve focused on building a product that’s opinionated enough to where the other players would be taking a risk by trying to copy the things we do. I think this was a good move.
We won’t be the largest player, but we don’t have to be. And we build the product we ourselves want, not a product that kinda fits everyone but every user only uses 20% of.
I’ll probably never go back to a job :)
Now I'm going to be working on my Linux-subset ABI x86-64 kernel [0], specifically adding support for tracing, then working on allocators. It's written in Rust so I might have to figure out how to make allocation fallible like the Linux kernel does. Also this raises questions about approaches to overcommitting and OOM handling, which I feel Linux does badly, but when constrained to Linux syscall ABI there doesn't seem like many good options.
Also I am not using LLMs for this since this is a learning project, with near-zero real world utility -- I just want to understand OS kernels as best as possible.
Now we don't deploy this to private companies except some gov projects. But we are engaging existing IaaS and dedicated servers providers. Later hope we would fight with Broadcom and IBM :)
We previously ran a services company that built over 100 private clouds, then decided to turn that experience into a product with an aggressive level of automation to let DevOps, SRE, and platform teams hit a 1:300 ratio per developer (now dev + AI agent teams).
We are currently deployed across 12 datacenters and raising our seed round this month.
Regarding been curious, today I have created my first explainable video with Remotion +claude so if you want to see open edit results check https://promo-review-shalb-promo.stage.kube-dc.com/
Would be glad if you comment. Thanks!
Looking forward to see how your product develops. Would love to work with you in future.
Project #1: I've been working on migrating an application [1] from GCP (where I pay $200/mo to host it) to a physical server (PowerEdge R7625) I've racked in a colo near me, running on my own IPs/ASN [2] and all that jazz. I've been dragging my feet on the this as there's just a lot of moving pieces, but I got a good chunk of the last few hard bits done today.
Project #2: Building a DIY bright-ass lamp, like Brighter [3] or Rhythm [4], but for a few hundred bucks instead of $1-2k. I've specced out the parts, designed the hardware, and built the firmware. Later today I'll do my first LED test against a bench supply, to get some hard numbers for if my cooling solution (a chunky aluminum heatsink and some Noctua PC fans) is sufficient for the full 500+ W final version.
As far as curiosities go, I've been doing a lot of Go (the board game, not the language) puzzles, and reading about sailing (mostly the book from the Hundredrabbits folk [5])
[2] https://bgp.tools/as/55078
In terms of design, I'm going a different route: Instead of a bunch of smaller LEDs, I'm doing 12x larger LEDs (6x 2700K, 6x 6500K). I'm using the Bridgelux V18 Thrives, so the CRI should be quite good (95+), as should the overall efficiency because I'm running them at pretty low amps relative to the spec sheet.
I use a 200w vivosun pointed at the wall during the short daylight months.
Costs a fraction of what you mentioned at roughly $150. Or $300 if you really want to go as high as 400w.
Makes the whole room feel like you've got bright sunlight pouring in.
My wife made fun of me at first, but now also has one for her office.
I did see the Brighter and Rhythm lamps before but their way out of my price league.
In Edinburgh (Scotland at 56 deg N) during December, it's sunrise at 08:30 and sunset at 15:30. And there's plenty of folks at higher latitudes that may be interested as well.
My current "design" is basically just strapping all the pieces together, so it'll leave a lot to be desired in terms of aesthetics for folks who want it to be more nicely integrated into their living environment.
Independent Vet - a website and app that helps pet parents find locally owned (and corporate/PE owned) veterinary practices nearby. It came out of a bad experience we had with our dog 3 years ago at a practice that had been recently acquired by private equity. The sites now get about 30k visitors a day and continuing to build in the evenings and weekends with Claude/Codex has been a lot of fun.
Last week, YouTube introduced GIFs in comments, so added an option to stop them from autoplaying and play them on demand (a play button).
Disclaimer: I posted a Show HN when launched the 1.0, but it didn’t get traction: https://news.ycombinator.com/item?id=49829812
I continue to update my coach app that generates workouts for me. It’s really solid at this point, better then the trainer I had, so mostly occasional bug fixes now or silly additions.
[1]: Predictions are LLM-powered largely to more reliably consume the free-text descriptions in traditional (e.g., NWS) weather forecasts of predicted high and low cloud cover around sunset.
Because I can. Well, let's be honest: because LLMs can. There's nothing particularly novel about this. It's just wiring a bunch of libraries together. Certainly would have been time consuming, but not difficult, strictly speaking, since all the heavy lifting is done by the libraries utilised.
Likely going to migrate https://breaka.club HUDs and editor UI to React since Godot control nodes are by no means impossible to work with, but somewhat cumbersome.
EDIT: Oh, will be open source like a lot of Breaka Club's other libraries very soon. Still optimising.
1. There's some stuff simply not well optimized internally. Working on these now e.g. there's unnecessary internal hierarchy on all nodes that only needs to exist on a small subset (related to border boxes, overflow etc.)
2. Eager shader compilation. There's some glass and blur shaders that are compiled on load. These really shouldn't be.
3. Godot 4.x on the web is always pretty slow to load. Time of first contentful paint (if you ignore loading screens) is nasty across the board. Godot 4.8 upgraded Emscripten, so there's actually potential to improve this quite a bit since it's now easier to dynamically load WASM (which is what we're doing extensively here). I'm unaware of any work on this upstream though.
4. THE BIG ONE. This demo is a bit of a monolithic beast. It doesn't just include Godot's implementation of React. You can reveal the code for any page in the demo, and edit the code live with an inline text editor. Genuinely bundled in this demo is a full TypeScript 7 implementation (based on Bun's Rust implementation) that type checks and compiles code to JS on the fly, and hot swaps components on the page live.
For the most part, this isn't designed as a performance demonstration, although there is a small section on repaints/relayouts. It's mostly just a demonstration of what's possible with the library.
Realistically, there's also the fact this is React. Its architecture is based on React Fabric (like React Native), so runtime performance should be pretty decent. But frankly, it's never going to be as performant as some alternatives — it's not really the primary goal of the project. I'm considering an alternate SolidJS front-end for improved runtime performance, but that'll do nothing for first load time, unfortunately.
Started with a funny experiment, to have a CLI that can spin up a server (ServUO, Sphere, whatever), then deploy it somewhere (local, VPS, or Railway). Then saw interesting stuff that people did on top of existing ClassicUO, and decided to extend CLI's capabilities to client area too. So, I was able to deploy a server and a web-client (that you can open a webpage and play the game without the actual client installed on your machine). This was a significant step because running UO on macOS is always a struggle. Then I decided to add player-like bots so that the server doesn't feel so lonely. Started with some local decision trees, when it failed I hooked it up with Jev and Clef. Also added Haiku for speech generation.
While doing this, I realized I need to find some game content (gumps, tile or item data, animations, etc). Similar to UO client, running UOFiddler on macOS is also another struggle. So I decided to port it to web.
If you're into Ultima Online, these two are open source, you might want to take a look at them:
I'm revisiting the Netflix Prize challenge with LLM. So far I've hit the 9% improvement mark within a couple weeks. I seem to have hit a wall in the last week or so with no further progress. I'm hopeful to hit the 10% goal with one of the many experimentations though.
Also built a free apache 2 agent/ project management system: https://github.com/mhalstrom/maximizepm
Essentially I found the key thing with modern ai assisted development the key thing is to manage your own time/ parallelize without having to switch between chat session as much as possible.
When playing Zwift, Rouvy, etc, I find that I get too competitive and ruin longer workouts by trying to keep up with or sprint past people who are much faster than me over long distances.
This is bad for building stamina and endurance, but I get bored, and it's hard to fight boredom and physical strain both at once.
I do not get bored sitting in front of Balatro, Raccoin, Tetris - anything with bright colours and satisfying noises and combos.
The first finished prototype game is very simple: you sort coloured marbles. Higher watt output from the bike means marbles are blown, by wind, upwards as they roll across the screen. Lower watt output means they fall. Steady watt output means they move horizontally. Marble goes into correct hole -> satisfying noise. It rewards steady watt output over time, with minor adjustments, which is what I'm trying to work on right now.
I was pretty amazed by how engaging I found it (total iPad baby brain). The miles really fly by - I get tired before I get bored.
I think that next I'll either do a tower defence game, or a less-dopamine-rewarding game in the style of Kerbal Space Program. Taking your actual weight and watt output, putting a bike with wings into a physics engine, and the gameplay loop being unlocking increasingly large airplane pieces, and designing - then flying - increasingly ridiculous airborne bicycles seems like a compelling idea, though less good for fitness.
The control surface being so limited - essentially one measurement which can either go up or down - is a really fun constraint for creativity.
I'd love to try a similar approach to gamifying exercise on a smart watch. That's an even more fun problem, because (when running, for example) you don't even have a constantly-present screen to communicate dopamine to the player with. Perhaps some watches wouldn't even be able to provide sound feedback? I've never owned one. It's a really interesting constraint for game design.
Here is a one minute video where I print the result data to the console from a Newspeak workspace.
* https://unofax.com - A simple a la carte fax service
* https://unopost.com.au - A way to send physical mail online (and avoid standing in line at the post office)
* https://snailgram.com.au - Custom greeting cards, with the message inside written by a 3D printer holding a pen.
There are a handful of others too, but these are the ones that are live so far. I've contributed between 5-40% to these projects.
I had simpler versions of this earlier but never something comprehensive. It was also my first AI assisted development project. I've been using it personally for around a year. I polished it and released it as an open source project last month. It's specific to Linux (which is my primary platform)
The website is at https://glockerapp.com/
I'd posted this earlier on HN hoping to get some feedback but didn't get any traction https://news.ycombinator.com/item?id=50349646
I got overwhelmed by walls of text of parallel Claude Code sessions. This limited the sessions I could steer in parallel to maybe 5 or 6. I knew there had to be a better way, and I found one: A canvas per project. Work laid out as cards. An agent in a worktree per card. Chat condensed to WhatsApp-style back and forth, not a litany of tool calls. Result is usually a narrated demo video that I can comment on by voice to have the agent go another round. Remote-control from my phone. Remote workers to scale beyond my machine. Everyone I know who tried it has stuck with it so far.
https://robertderose.github.io/container-krun-runtime/
It’s an alternative VM engine that uses libkrun. The main purpose is that libkrun supports returning memory back to macOS when the VM releases it. It also has better performance in some areas, but it’s only been tested on my M1 laptop and I haven’t added nested support yet because I only have an M1
And https://robertderose.github.io/container-compose-plugin/
It’s a full docker system running inside Apple Container’s machines with automatic localhost port forwarding, automatic shutdown if nothing is running, and exposes a tcp socket so you can use most tools by just exporting your DOCKER_HOST environment variable.
I have a few other projects but they are still in earlier stages
I recently rebuilt my COVID project, a Steam/online version of the drinking game Kings Cup: https://store.steampowered.com/app/1506610/Kings_Cup_The_onl...
A friend and I have also started working on a restarting/brewery manager game that is not released yet.
Have 70+ people online today playing it, it's been fun to see it get so popular recently (for a free niche audience hobby project).
Also have some other cool browser-based 3d game projects listed here: https://brynnbateman.com/
I find it to be a great way to practice singing/music.
Firefox: https://addons.mozilla.org/en-US/firefox/addon/karaoke-pitch...
Chrome: https://chromewebstore.google.com/detail/karaoke-pitch/facck...
https://github.com/djeastm/karaoke-pitch
The Firefox one has 40 average daily users and the Chrome one has 287 installs as of today.
There was a big jump in late October that might have had something to do with Halloween? I have no idea if people do karaoke more on Halloween. Still no ratings yet for either version, but maybe someday someone will.
I've been trying to improve agent knowledge over a codebase, and existing approaches weren't giving the result I wanted, and I wanted to keep it simple. In the end, I added a semantic layer on top of an LLM Wiki and it saved 30% of token usage in multiple benchmarks I ran. It also adds some nice features to deal with concurring agents updating the shared memory, to ensure all information there is reliable and fresh.
It's published to PyPi, so an "uv tool install wayfinder-memory" already does all the work, and it's compatible with almost all Harnesses.
The codebase memory knowledge graph should be maintained alongside the codebase whenever possible, which basically means checking the graph into the repo alongside the code, or some other architecture that has an equivalent effect. But then it complicates the design of the retrieval indexing; I think your SQLite rebuild idea might work for that though.
I have a question for your design: since your knowledge graph is checked into Git and therefore Git worktrees should already isolate them and resolve conflicts between branches, why did you include the section about concurrent agents as well? Is that for maintaining the SQLite index which is not checked in?
I thought I’d get where I wanted much faster, but it turns out I ran into quite a few challenges: it’s quick to build something simple, but it takes much longer to get a reader that’s robust and pleasant to use (extraction, parsing, security, infrastructure, etc.).
On the tech side, I’m using my usual stack, Laravel and Livewire, with some Python for extraction and Go for the email infrastructure. This month I’m working on the beta release, since several people around me were already using it, so I’d like to gather more feedback.
Trying to find out why Google has completely de-indexed the website, but other than "low quality content", I'm not getting any answers. Even Bing brings in more traffic...
We're going to open source everything. Software, SaaS, infrastructure, weights, platforms, protocols.
We're going to bridge local and cloud compute in a seamless way.
We're building an app factory for high throughout development. Reverse engineering tools for non-technical people. We're going to make high quality libraries that others can remix.
We're going to make all of this agentic and AI/CLI first class.
We're going to open source everything and make the world hacker-first again, like Web 1.0 with P2P and RSS and APIs and IRC.
Join us!
- https://sxp.studio/aftercorp
The cool thing about that game is that it uses a realtime environment mesh reconstruction algorithm that allows me to create an approximation of the world 3D geometry and project a dummy “flashlight” with hand tracking. I think I’ve only seen one other game do that technique on quest (some laser tag game).
It runs at 60fps with a tight GPU budget. Consequently it’s not the most beautiful game, but it’s actually pretty fun, immersive and can scale to all sorts of environments. I’ll be porting it to iOS next (handheld AR style).
Good times, but lots of foundational math I hadn't previously been exposed to.
Some reading material if anyone else is interested in that:
Spiking Graph Convolutional Networks (2022): https://doi.org/10.24963/ijcai.2022/338
A Tutorial on Spectral Clustering (2007): https://doi.org/10.1007/s11222-007-9033-z
Semi-Supervised Clustering with Graph Convolutional Networks (2017): https://arxiv.org/abs/1609.02907
Spectral and Algebraic Graph Theory (2025, draft book): http://cs-www.cs.yale.edu/homes/spielman/sagt/sagt.pdf
I ended up building a personal agent that asks me questions every day, emails me interesting reads in these areas, and helps me progress in my learning.
It started as a web app, but I have just ported it to a Mac desktop app.
It works like Conductor, but for your learning side quests: https://miletus.app
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[1] https://www.reindeereffect.com/0004
[2] Parts of the house smell of slowly cooking meal components (e.g., stock and beans), while others smell of cleaning products.
https://github.com/isriram/pg-restic
I needed Postgres backups at work and at home at the same time. I tried a few existing images, but after spending time setting them up I found they shipped an older pg_dump that couldn't back up newer Postgres versions. So I built my own.
It runs pg_dumpall on a cron schedule and streams it straight into a restic repo, so nothing touches local disk. You get encrypted, deduplicated snapshots (hourly dumps of a mostly unchanged DB take very little extra space), retention policies, and daily pruning. If the dump fails, no snapshot is saved. It ships pg_dumpall 18, so it can back up anything from 9.2 to 18.
I now run it in production at work, so I'll be keeping it up to date. I'm no expert, and this is the first time I'm doing something like this (putting something out there), so any feedback is welcome, especially from the database pros.
It's not fancy, but it's something I needed, and boy, I really needed something like this.
For 4+ years I've been working on a game programming language which makes your game multiplayer automatically! Every program written in Easel is guaranteed deterministic and snapshottable, which it uses to automatically perform rollback netcode. The rollback is incremental, it automatically stores deltas of only what has changed using a copy-on-write mechanism, so it's really efficient for games where your players are walking around large worlds which are mostly sleeping except when the player is nearby.
The idea is that I hope teenagers who love to play multiplayer games, would find this to be the easiest way to code a multiplayer game by far since the multiplayer is automatic. Learning to code could be much more fun because they can make games that involve their friends, classmates, brothers/sisters, parents, or just anyone online. Maybe especially more important for raw coding to be fun and engaging in the age of AI.
This month I'm making the multiplayer even more efficient so people really can just code large multiplayer games without worrying about it, which I think is important for beginner coders.
I’ve just got back into hobby electronics after a fifteen year diversion into software. I set up my workbench this week and this is my first project, something I first imagined building twenty years ago!
I spent the weekend wiring the spare controller port to a microcontroller to act as WiFi bridge. I have a flash cart, so I patch the reset vector to a small save sync routine that talks to the microcontroller.
It was especially magical having Claude read from a logic analyser and flash firmware tweaks iteratively. I still got to wield the soldering iron at least.
A data-flow-based, lightweight formal verification engine for application security. Basically, it's SAST++:
1. Deep enough that you really have some formal guarantees about the codebase (like zero findings actually means something, not just that the tool is broken).
2. Fast enough that you can shift the formal verification phase left and apply it to every feature during development (for example, during agentic development sessions to get fixes done within the same feature context).
3. Expressive and customisable enough that you can write specs for most vulnerability types from the OWASP Top 10 (even Broken Access Control and business logic flaws). Skills for writing specs included.
Here is the repo: https://github.com/seqra/opentaint/
I originally thought it would be useful to have a package registry that helps prevent supply chain attacks. It reads and judges all of the changes to popular NPM packages. While building I realized that it’s a package manager that agents can settle package versions with as old versions have new vulnerabilities found.
I’ve caught several supply chain attacks since I started monitoring, and am building an automatic response pipeline to validate and publish new attacks.
I’ve also been working on python support and hope to have that released soon.
Recently added new high-res maps, a timeline, and country names and borders.
For example, see Pangaea:
https://dinosaurpictures.org/ancient-earth?borders=on&names=...
It’s been getting a decent number of sign ups despite me not really posting it anywhere or doing any marketing.
Ultimately a fun project, and useful for myself and a few friends, so I’m happy others are even interested in trying it.
I’ve started to regret using Phoenix LiveView, as it’s only deployed in one region, so high latency far from there. I’m exploring a SPA as a better alternative.
Otherwise, I’ve been playing around with a Lua engine to build feeds for websites that don’t support them, using AI to build the Lua as a once-off. It works reasonably well, but isn’t ready for prime time just yet.
- https://github.com/garlab/gloss | `brew install garlab/tap/gloss`: render markdown, sources, images, chess and go (game) records in the terminal. It's built for libghostty but fallback on other terms.
Send your beacon to a group, and everyone gets a gentle ping. The first person who answers gets connected for a 1-1 call, and for everyone else the signal drops silently. It does not log any missed calls so there’s neither pressure to answer nor pressure to return calls.
Overall it works really well! It’s best if you're able to join with 4+ friends/family you’d like to chat with more. I have dozens of connections in the app now and it feels like absolute magic to me. I tap the button to send my beacon to everyone and get a random friend on the line.
Then also HNowledge[1], a free iOS app for browsing the HN stories and comments I've upvoted. Made it to fit the way I browse HN, which is upvoting mainly what I find interesting and may want to come back to. The app lets you browse by date, domain or score, add notes and export. Apart from syncing your upvotes from HN, everything stays local without any tracking.
[1]: https://apps.apple.com/us/app/hnowledge/id6813417548
Wanes[2], an Apple Health logging interface for tracking how long symptoms last. I tend to have headaches quite often and the way Apple lets you enter that data is pretty limited, so I created an app which starts a Live Activity for one or more symptoms using widgets, Control Center or Siri. You can change the severity rating while it runs and stop it from wherever you are on your phone (Home Screen, Lock Screen, Dynamic Island, Siri).
A SaaS for teachers and schools that helps them create, conduct and grade exams and tests (with safe exam browser integration to prevent cheating). Grading happens automatically for almost all segment types, for free form text we have an optional AI integration. I recently added an MCP server so teachers can bring their own LLM with fairly fine grained permission controls for it. It’s hosted in the EU with options for schools to self host with a license.
Currently we are in a pilot phase and are yet to make our first sale but we are reaching out to schools and gave out some pro accounts for free for people to try out and feedback has been great.
We are just two people, a teacher who was dissatisfied with the tooling in the field and me, who engineered a solution that we believe is genuinely better than what’s out there.
The free version you can record and keep an archive of your daily practices of each song, while a paid version does some analysis of your vocals.
Astro site starter template meant to be used together with agents.
I have long been averse to configuration and customization but my needs and preferences have outgrown commodity systems and default setups, and AI is making it much easier to customize systems, so I'm embarking on this journey after over 35 years of using computers.
I have a PAL-2 [1] (a modern KIM-1 re-creation) and started learning 6502 by entering programs from The First Book of KIM [2].
I wanted to be able to compile/link the assembly from the book so leaned on Claude to set up a 6502 dev environment for my Mac. I put everything needed (and instructions) on GitHub [3].
(Claude also has been helpful in re-formatting the 6502 code from The First Book of KIM into a more modern style compatible with modern assemblers. A few of these modernized programs I added to the GitHub repo above.)
As it happens, I am also fixing/formatting The First Book of KIM by recreating it in a modern page-layout app (Affinity Publisher). The PDF scans that are out there are not pretty, have OCR errors (and the book itself has mistakes). Hopefully I'll have a new version of the book/PDF out on the internet by the year's end.
[1] https://www.tindie.com/products/kim1/pal-2-a-mos-6502-powere...
Other than this, I'm playing with vibe-coding stuff I always wanted to do but never had the time/skills to do. For example, I built a TUI on top of beancount that is tailored to my needs and my business[2]. I also completely got rid of self-hosted plausible and umami analytics, and replaced them with vibe-coded built-in-rust (c) analytics tool that relies on both js-beacon and streaming of caddy access.log. Will probably publish about it in my blog soon, so subscribe to the RSS if you want.
Lastly, I'm messing with self-hosting. I completely ditched Github and Gitlab for self hosted forgejo + actions runner. I set up proper backup plan for everything I care (documents, immich library, my SaaS DB, and the forgejo repositories).
[2] https://kudmitry.com/articles/after-14-years-i-finally-built...
The loop is stable and responsive when receiving from 17 to 29.9999 Mhz, but not much below that... Almost got it
https://github.com/bldbrne-vr/bldbrne-vr --- https://www.youtube.com/watch?v=doleBBoJL5U
I'm very excited by adding interactivity. I have a new "knob" feature that pops out when you type {var}. It infers the column's type and values.
`SELECT * FROM hn_posts WHERE score>{score}` will grant you a slider that goes from 0 to 6015
Titanic Browser demo (no login, it's all WASM): https://app.kavla.dev/
Also been working on a "chat to data ingestion pipeline". Not sure where I'm going with this but I like the idea? https://github.com/aleda145/pompos
a mac app that listens to your microphone and gives feedback on your pace, filler words etc in real time. Built for myself as I tend to get carried away in meetings. Looking forward to feedback if anyone else has the need for something like this.
I’m a software developer and watercolor painter so my goal is to use real world painting techniques and have the results feel and look real.
Modeling the physics of paper, brush bristles, pigments, water, color mixing, drying in real time using gpu.
Built in rust using wgpu.
Currently looking for iPad beta testers if anyone is interested (supports Apple Pencil or finger).
This one I (mostly) did without LLMs, but the other project is vibe coded, but I'm enjoying it. An RTS made by Claude in Unity: https://github.com/SiGe11/StarForge2
https://testflight.apple.com/join/mqfhpmHY
The original goal was an alternative to ChessBase, but with an Apple-native GUI and iCloud sync between devices, and as an improved alternative to tools like chessbook.com for operating repertoire management and spaced repetition opening memorisation. In recent months I have focused more on the chess-playing parts of the app, trying to implement human-like computer opponents at all levels, using a transformer-based model (similar to the one described in the Maia 3 paper) combined with a very small search.
Recently I’ve also been working on chess variants. Since a while, the companion Apple Watch app plays 5x5 chess. More recently, I added a 10x10 chess as an Easter egg game inside the app, and I’m now working on hexagonal chess. With the current state of the art in computer chess, it’s almost trivial to implement vastly superhuman strength in all these variants, but implementing weaker levels that are enjoyable opponents is interesting and challenging. Unlike in normal chess, there are no big databases of human games to train on.
Partly because I want one, but also because it makes for a good learning platform. e.g. initially do some of the processing with a stronger llm...save result and then attempt to train a SLM or similar
What I need is something to switch the account where the usage is taken from, not the configuration.
I made something simple & transparent named Switcheroo: https://github.com/FTCHD/switcheroo
Works with other AI CLIs like Gemini, and other various CLIs like Vercel (if you're managing multiple accounts like me), Netlify, Github etc
making it feel fun versus a basic quiz workflow is the hardest part.
Nothing against Argo Workflows, but I really wanted to get out of the business of building our own CI product on top of it.
So, I’ve been working on this CI “framework” on top of Hera (the Argo Workflows Python SDK, which is really neat) that will hopefully make it easier for our team to build CI pipelines, with CI “primitives.”
It’s called Stagecraft: https://github.com/elliottmoos/stagecraft
Also, creating interactive ways to view the experiment and visualizating the results.
The interesting I noticed is that in the process of curating and organizing my photos, I stumble across memories and moments that I had completely forgot.
Development Challenge: The app does two interesting things underneath the hood... First, given an arbitrary number of thumbnails with different aspect ratios, it finds the best sized rectangle that completely fits all the photos. This allows me to recursively stitch groups together and always output a rectangular thumbnail for the group. Second, the pinch/zoom UI uses these nested thumbnails directly without slicing/dicing to fixed sized tiles.
https://turbolytics.io/blog/debezium-wal-growth-postgres
Happy to get your postgres and kafka connect monitored and alerted on for free!
danny@turbolytics.io
I’m working on a document library app for macOS with tagging, collections and user attributes. Unlike other apps that pull files into their own databases or reorganize files into their own folders, Librium indexes files in place, so your existing folder structure stays in tact. It works with folders on your local drive in addition to external and network drives and the cloud. Search works with on-device text extraction and OCR.
It’s currently in Test Flight beta, but I’m planning to have it to App Review this week.
https://github.com/enes-alatas/spool
I wanted a way to manage multiple loops without babysitting terminal sessions and to talk to them as they work. With Spool, you can create and manage loops from a web UI, chat with them through Telegram or Slack, and let them communicate with each other. Each loop can run on your environment directly having access to everything you have, or in its own container or even better on Anthropic's cloud.
I’m using Spool to build Spool and figuring out what works well when several loops collaborate on the same project. That's also an interesting experiment going on.
I’d also love to hear how others are managing long-running or persistent agents.
There are more things I'd like to do with the graph concept, like linking two user's recipe trees if they were imported via the same URL. Really trying to to avoid features that I think would be cool that don't provide any functionality.
There are still a few features I'd like to implement that are more in the vein of nice to have in any recipe application, like nested recipes, temperature conversions, volumetric ingredients amounts to mass conversions, etc.
But I've been using it for new recipes and converting my old recipes I have written down in the margins to this format and I've been happy with how usable its been in these early stages.
It scans your codebase, turns it into permanent c4 & sequence diagrams and keeps them up to date on each commit. Then, instead of reviewing a 10k line coding PR, you review a 30 line change to sequence and C4 diagrams.
npm i -g @archme/cli && archme init to run it on your own computer, code never leaves your machine.
Made for me, but I can provide access to friends and family, which is nice.
FoldRoute - a PWA route planer for folding bikes & public transport
I bought a Brompton a few months ago and realized there is no good planer for combining biking and public transport. I one-shotted the first approach with codex. It was so decent that I wanted to elaborate on the idea. Still not perfect and needs a lot of testing in the wild (especially the navigation). Currently, only in German. If there is demand, I will translate to English. For now only a PWA. Therefore, it has some limitations. Maybe I will make it an Android / iOS app one day.
SuperBlocker is a native blocker that works on iPhone and iPad using Apple's latest URL filtering technology that blocks URLs without revealing it to Apple's relays or SuperBlocker's servers.
JSON Query: https://jsonquery.app (https://apps.apple.com/us/app/json-query/id953006734)
The original JSON Query app on the Mac App Store. Store, organize and query all of your JSON with jq or natural language. All of your data stays local so sensitive JSON can stay on your machine.
"OneVote", which aims to answer: how much is your vote worth? https://github.com/skritch/onevote
Use it every day, and my team mates have started using it and loving it. In my dreams it’s a business. In reality the feedback I get from people that like it absolutely makes my day.
Product: webfrolic.com
Demo: demo.webfrolic.com
What it is?
Consider Okta (Workforce identity)+ Auth0 (Customer Identity), Authzed (authorization) + ServiceNow (IT service Desk) + Zendesk (Customer Support Desk) architected together
Being an engineer there is this inherent habit of prioritizing correctness over marketing so I would not oversell it, though its probably the most secure and complete thing that could be built from identity perspective
Status (WIP):
1. I am still debating/settling on how to incorporate the AI Agents needs into the architecture, big focus on avoiding the creation of security or performance foot guns where administrators leave room open for abuse with configuration despite all this attempt to build secure system
2. Feature stress testing and performance testing
RGBloom: create printed photo books in minutes (UK only for now) for just £10 including delivery. Been working on this for 8 months, recently launched iOS and Android apps to go alongside the web app. Got just a few dozen orders a week atm.
I'm focused on making it privacy first, keeping as little data as possible for as short a time as possible (no accounts, you don't even need to provide an email address, and if you do it's wiped in 30 days). And transparent pricing: not getting hit with large delivery fees at checkout, and no discounts just honest prices.
It is an AI for Science connected to scientific compute and a network of labs, so you can do science end-to-end from your computer.
https://santawho.com A funny holiday game you play in person with the whole family on just one phone (the parent interviews everyone for jobs on the North Pole and surfaces inner insights about what everyone might enjoy from Santa). It’s for any age, private, ads free, just pure holiday spirit.
https://www.dreamlist.com - collaborative shopping lists and online wishlists and gift drive platform. Again ads-free, private, stack multiple lists into groups of lists to share on social media or with grandparents.
A number of other ones about to launch as well. All little tech, not big tech - private by default, no ads, no feeds or media, just surfacing what is needed.
I make a special `textual DSL` where I model business scenarios like `Make a sale that include 3 invoices : 2 to different cities in country A in currency USD and other in country B in currency EUR` + all the intermediate steps like transportation, manufacturing, etc.
I`m now in the woods with a simplification for the price engine, I dislike much how complicated is normally, and I think I have good enough solution for most cases that generate without dynamic calculations.
Each game tick is an hour and games can last over a week. I got hooked on both Subterfuge and Neptunes Pride and always wished there were some more titles in this genre.
Currently in closed alpha.
A better, model-agnostic artifact experience to work with AI visually. You can annotate and draw on artifacts, so can your agents. You can share the artifacts with colleagues or friends and with your permission they can send comments to your agents too.
When you need more compute, artifacts turn themselves into microVMs automatically (paid feature) with a 8GB allowance
Run AI on machines 30 years old.
Entirely in legacy Perl.
HP-UX, OpenStep, Solaris 8, Tru64, Irix, old Linux. Legacy FreeBSD, NetBSD...
Optional desktop in tk.
There's even a proxy for modern tls.
Hopefully someone will soon have tested chips from the 2nd run that use 2 edges only on the pad ring. This would enable significant area savings.
The deadline is fast approaching and many blocks are only partially validated...
It's so amazing to have the ability to gather and parse publicly available scientific data and actually visualize it in real-time. It's one of those projects I'm learning a lot from and can keep going with (the universe is a big place :)). As a software developer for 20+ years, its been mind-blowing and often also frustrating to have Claude generate code that I deem good enough. About half of my time has actually been spent on refactoring, building quite some skills in guiding LLMs in the process. I guess that part still hasn't changed in a growing codebase.
Unifying all the various image/video gen (comfyui for local, api for closed) in one cohesive desktop app, with integrated agents to pilot the whole thing (if you want). It's been fun to build and quite fun to use. Technically out in beta and testable, but working on refining onboarding/docs before I try going wider.
Finding a balance between deep enough to satisfy more technical creatives (like me) and less technical ones. Agent integration helps tremendously with the latter.
https://github.com/swax/dub-anything
I use it to watch movies that have never been translated to English. A whole world of previously inaccessible media is opened up.
I'm a product designer by trade and learnt to vibe code on Claude about a month ago now. I was weaning my baby and he developed a rash and haven't been able to work out what the pattern was causing it. So I created an app for weaning parents to log the food, add any reactions so when talking to their GP they can start to see a pattern and all advice, like nutrients, food variety, how to serve food all coming from the NHS and FSA.
Currently got 12 mums using the app and would love any feedback to make it even better! <3
https://apps.apple.com/gb/app/niblet-weaning-diary/id6822680...
Meli: A spending tracker for Mac designed with privacy in mind. Turns credit card alert emails into spending insights and budgets. I was in security for 15+ years and I built it because I didn't want to use Plaid or other aggregators and wanted my financial data locally on my device and not in the cloud. Spreadsheets required a lot of work to maintain so I wanted some sort of automation. Connects directly to your email (reads only alerts from supported senders) and all parsing happens on your device.
Works with seven major US banks (AMEX, Capital One, Chase, Citi, Discover, Bank of America and Wells Fargo) plus PayPal and Venmo.
Does this list cover most of your spending? If not, which banks or cards would you need?
How do you get programmatic access to your data?
However, most banks do send alert emails when something is charged to a credit/debit card. Meli connects to your inbox read-only via OAuth (Google and Microsoft) or IMAP for other providers and reads those emails on your Mac.
Of course there are limitations to this approach, you only get access to the data that is available in those emails like merchant, amount, date and account.
Which banks are you interested in? Are you based in the US?
Also trying to replace own Duolingo usage with Fika Lingo (https://fikalingo.com) basic idea was to first repro the practice of matching words. There is now few other types of language / vocabulary practices. The practice generation works on-device with local LLM, you can give the topic yourself like "Words that relate to Hacker News". Downside at the moment is that English needs to be the counterpart of the practices. Cant guarantee good enough quality with something like germany <-> italy practices. I'm trying to do finetuning with LFM models to see if it would be feasible to improve the local practice generation.
https://chord-network.vercel.app/ A tool that helps you build chord progressions
An audiobook player that plays local audiobooks & librivox books. Also has a curated library of audio drama podcasts.
Since the last time I posted on HN I've added 100s of cinemas, user features like being able to save search filters, movies, and specific showtimes. Also a ChatGPT plugin which allows for searching for movie showtimes using natural language directly inside of ChatGPT (https://chatgpt.com/plugins/plugin_asdk_app_6abfdc298c208191...).
Finally I've added AI search to the site as well, allowing for natural language search with queries like "English audio showtimes near Shinjuku tomorrow" and so on.
I would really appreciate feedback for things to add, things that are hard to understand, and anything else!
It uses an allwinner T113-S3 SoC and the Quectel EC25 LTE module, and I've made sure voice calling works over LTE, at least on T-Mobile in the US. (this is tricky bc of carrier rules)
video and photos of MangoPi test setup and my board layout here: https://constcast.org/n1100c/
I finished the basics a long while ago. Since then I've added an AI agent, a public booking page, and support for multiple staff. Hopefully, I'm launching soon. Currently finishing final touches, gathering feedback and trying to figure out how to market this
Along the way I ended up adding an internal agent framework to satisfy stuff like "log in, click the button, and then take a screenshot", out of which fell stuff like automatically generating Playwright tests from that. It even runs the Playwright test suite and Puppeteer test suites ( a bit faster, and for a lot less memory ). I kinda love this bit because I can layer in multiple models that will bounce control of the web session between each other, to do stuff like let a Typesafe model choose to escalate to Opus when it needs higher minded behavior. It's fun to watch it happen.
I've mentioned it a few times around here, I'll probably do a Show HN soon when I feel like it's ready for that. Hopefully soon.
I used to watch K-drama on Netflix and pause it to copy paste subtitles in AI chat to do vocabulary breakdown, translation and grammar. So I automated it in an app which auto pauses video when it detects a sentence and gives translation, vocabulary (for every word) and grammar.
I also added same to voice from microphone, for deliberate practice speaking what was learned. To help with spaced repetition.
https://tisvlay.readthedocs.io/
> TisVlay brings TV Display control for Linux, including: power, volume, backlight, AV mute, input switching plus more, with per-device profile automation via desktop session integration (idle/lock, boot/suspend, remote login/streaming, etc), and in reverse, letting the TV lock, sleep or wake the PC and its remote drive the desktop, while supporting various vendor interface protocols for multi-display setups, mitigating energy usage and OLED panel burn-in or projector bulb burn-out.
Disclosure: this project includes AI assisted coding, documentation and research, and has been a great help given physical disabilities in typing. After programming by hand well over a decade, using voice dictation scene the '90s (IBM ViaVoice or Dragon NaturallySpeaking anyone?), and worsening hands over after my CSE doctorate, this was also a bit of an individual research experiment to explore how effective LLMs could augment my personal approach to spec & test driven development.
While still beta (pre v1.0), its already daily drivable and fully documented. Being largely feature-complete, my current focus has shifted towards distro packaging, and custom ATmega firmware in Rust for HDMI CEC USB adapters to solve a few TV firmware bugs. If you'd like to give it a try, the installation guide and docs are linked below. Or if not, and you already use something else, I'd like to give a shout-out to netflector, especially for privacy-conscious home-automation users, given how common spyware is in smart TVs and projectors these days. The docs cover using it to keep displays on an isolated network.
https://github.com/netflector/netflector
https://tisvlay.readthedocs.io/en/latest/operations/isolated...
I'm at the point where I'm finally actively using it to register my activity, it is straightforward to register tickets by sending them to a telegram bot, then, reconcile those by uploading my bank statement.
I'm trying to get the lowest possible usage friction so that I keep using it.
So far the better built pieces related to the data ingestion. Once this is good enough I'll build reports + anything coming to my head as a useful piece.
I'm leveraging AWS textract + bedrock + bda to parse bank statements. I expected this would have been easier but it is still a very complex problem which had required me to put many iterations (so far it works nicely with my own statements)
For ticket parsing, AWS textract + parsing rules has been enough.
I wrote a bit more on my blog https://alexitc.com/blog/2026-10-16-opensourcing-my-expense-...
https://leaflo.app — a CBT journal that I am developing into a library of CBT techniques and mini-courses.
https://plainline.app — an AI presentation service with a focus on text and data, rather than visuals.
Apart from that, running a travel agency I'd never be able to without agents (they manage my ads, social media, website content etc.). Started with boa.ba and it went quite well, now preparing dobosnia.com
https://www.metanoia-research.com/dispatch-007-three-black-a...
Here's a demo: https://non.io/video/linen-demo.mp4
As a disclaimer I cut 32 seconds of generation time out of that video, but still I'm quite happy with the speed. Not launched yet, but it's been fun to work on / wanted to show off progress :)
A simple EU static and app hosting service: PodBy [2]. It was launched last week, and is at €10 MRR.
Thank you for asking and for your suggestions!
[1]: https://uruky.com
[2]: https://podby.com
Replacing snowmobile skis with wheels is not a novel idea, but I wanted something which rides more like a motorcycle, with extra length for a passenger and a cargo basket.
It should end up looking like it came out of Mad Max; I plan to cruise around at festivals, running an ad-hoc taxi service, as a way of meeting people and striking up conversations.
There is a lot of data for browsing, though it doesn’t aim to solve specific user problems as of yet (I did take a stab with RTOs in the logged in dashboard).
1. FormBeep(https://formbeep.com) at $38 MRR now - A form to Whatsapp tool. Stack is mainly CF workers with Clerk Auth.
2. SlashLink(https://slashlink.app) $0 - A simple pay as you go amazon link localizer. Great for affiliate folks and a cheaper alternative to Genius. Stack is same, CF workers with SQLite(D1)
3. StackStats(https://stackstats.app) $791 - A better advanced analytics app for Substack writers, fully local. I have been writing on Substack for a while now and their analytics suck!
I needed a code-first approach for making installations and interactive art. MaxMsp gets messy with very big projects. Python didn't really work well for music making and Tidal/Pi/Sclang are only meant for sound. So I needed something that has bpm synchronized threads, but can draw and do anything else like file IO, networking, hardware control etc. It works quite well now.
- hermitator, a tool to run multiple isolated AI agents for WhatsApp on a single machine, with idle agents using no RAM: https://www.encona.com/posts/hermitator/
- showntell, which allows your coding agent to explain things to you with a video that starts playing within a few seconds of you asking: https://www.encona.com/posts/showntell/
- a philosophy tutor (testing in private for now) that does 2:1 live philosophy lessons, each exploring a single topic (aimed at ~10yo kids). I've tested this successfully (i.e. two kids did an hour and they want to do it again), and am trying to make improvements.
- some other education-related things
- a jmail-style mailbox viewer: https://www.encona.com/posts/mailbox-viewer/
It was developed as an internal tool at my other startup, Ipek helped us to run the whole thing smoother and with all the context I need.
The serverless MariaDB is important because it can scale to zero, so you have dev sites that cost less than $0.50/mo.
Also added MCP and CLI tooling that exposes all of the infrastructure + WP CLI + DB so agents can develop WP sites... which is nice because you can still use the WP admin interface, while using AI to develop the site, debug it, change pages and posts, etc.
And Meltdown https://meltdown.merkoba.com/
Grasshopper is a tab manager for Firefox.
Meltdown is a an AI harness made in python and tkinter.
You can check screenshots of it and descriptions in the link.
Also I've been blogging a lot recently on a weight loss blog. I like asking Kimi for reviews on what I write.
https://github.com/ReviewToolkits
Still not sure where this is going as the space is super crowded and moving fast, but it's solving a lot of my own problems and doesn't rely on third parties to run.
To be honest, I started this because Postman and Insomnia became forced-corporate-cloud not usable for me anymore, and Bruno lacked a feature I considered fundamental for my workflow.
The feature is to remember the JSONPath expressions between requests, a feature that Bruno has implemented already.
But I created this thing and I'm using it daily since then. C++ and wxWidgets, it uses 40MB of RAM, and it is super fast, instead of the 400MB used by the above mentioned programs.
1. Broadcast (https://sendbroadcast.net) - Self hosted email marketing software. Been working on this since 2024 and positive revenue. Releasing v3 this week! :)
2. Render Screenshot (https://renderscreenshot.com) - Screenshot API (very much a scratch my own itch project)
3. Widgetful (https://widgetful.com) - A menubar app for managing multiple Claude Code agent sessions
Polign Recall, a state and memory management for agents that can provide append only state logging and governance. The memory and storage is completely on BYOC setup and can work with confidential workloads
I've got 40k+ photos on my iphone, and wanted a better way to interact with them. The basic idea I had was to virtually stitch all the photos together into a gigapixel image, and navigate that image with pinch and zoom. On import, the app hierarchically groups photos based on date and similarity. The user can go back and edit the groups, change the layout, and adjust the size of photos if they choose.
The interesting I noticed is that in the process of curating and organizing my photos, I stumble across memories and moments that I had completely forgot.
Development Challenge: The app does two interesting things underneath the hood... First, given an arbitrary number of thumbnails with different aspect ratios, it finds the best sized rectangle that completely fits all the photos. This allows me to recursively stitch groups together and always output a rectangular thumbnail for the group. Second, the pinch/zoom UI uses these nested thumbnails directly without slicing/dicing to fixed sized tiles.
- https://polygonjs.com/: a design tool to create interactive 3D configurators
- https://polyreprint.com/: a hosting platform for those configurators. See more enterprise-type examples on https://polygonjs.com/configurators
- https://polyreplay.com/: game made with said design tool
Lately we've been working on access for AI agents. A lot of people want their own agent to do the repetitive part of time tracking. Control remains important, which is why we rebuilt our core this month to support change history and full undo/redo functionality. Feel free to try it with your own agent.
We built this after the timesheet tool we paid for raised its prices and moved some features that we used regularly behind more expensive plans. We had to add three new colleagues, and everything combined this would cost us $500 a year more for the same software.
We run Elixir and Phoenix LiveView on a Kubernetes cluster made of Talos instances.
We're still looking for feedback on the product, so please let us know what you think!
I'm Canadian but I moved to USA to work for Microsoft. One thing I liked about the USA was how easy it was to order bloodwork/lab testing. My original idea was to bring that experience to Canada, but since starting I've found other ways to improve the patient healthcare experience in Canada too.
My company is https://teletest.ca
I'm building a polyglot web framework in 15 languages, with C# and Lean4 as the reference implementations. Structural and behavioral audits using deterministic tools check that every port stays consistent with the reference. It's about 1.8M lines now. I have not reviewed the code/neither have i verified the behavior tests except at the time of giving requirement and never seen some of the language code at all.
The question is how far can we produce "working code → correct code [Possible] → good code [Unknown]" with deterministic audits correcting structure, ai mistakes and behavior validation.
So far the quality looks acceptable with lots of correction of AI output done without looking, but it isn't fully verified.
Line counts per language, with changes since August: https://claude.ai/artifact/5f1m1pTM7tZ4boQzwsoAG7
Added a way to look at power/flops and new model requirements lately to try and estimate how many GPUs you need to run a certain model: https://flopper.io/tools/llm-gpu-calculator?model=llama-3-3-...
Most planners treat your schedule as fixed, so the moment a meeting runs long or a task takes twice as long, the plan is wrong and you either fix it by hand or give up on it. In Ember, if you move a task or change how long it takes, everything after it shifts later, and it flows around fixed things like meetings. It's been super helpful and I have been adding new features ever since.
Right now I'm working on a native Kotlin app to replace the current one is web + Capacitor and exploring full duplex voice models so I can add or move things around the app while having a conversation with an agent.
homepage: https://emberflow.space demo: https://demo.emberflow.space/?ref=hn
I'm working on an AI powered loan servicing platform. We've been trying to get cold / warm intros to onboard a set of design partners
It's a traditional systems language in the sense that you have fine control over how resources are used, but it's abstract in the sense that you have to come to an agreement with the compiler about your intent around the resources, rather than directly declaring the machinery.
It's a distributed language in the sense that there is a higher level structural abstraction in the language that situates computations of the program within a recursive graph structure. Part of that structure incorporates message broker semantics. This gives the compiler a unified view of programs across arbitrary process boundaries. The structural abstractions also enable an effects+formal verification syntax within the language, which allows programmers to codify architectural decisions that are then checked by the compiler.
The compiler itself is infrastructure aware, and the highest layer of functionality it handles is configuring the environment into which applications deploy. The single language handles everything from individual memory allocations to distributed fleet deployments.
The language is close to v1, and I'm currently building a fully distributed inference-as-a-service application with it. Arbitrary hardware/supply matched against arbitrary callers/demand in real time.
https://github.com/hale-lang/hale https://github.com/hale-lang/voice
It’s open source: https://github.com/nicobrenner/id-le
The main feature is, that I can use different subscriptions/API keys (Claude and Codex - v0.1.4) and trackers (GitHub, Linear and Huly - v0.1.4) to make Even Keel start an agent for every single issue, task by task, one at a time per folder. There is also a parallel feature, so I can run more than 1 project at a time.
Once upon a time, when codex agent was integrated into the app, I wrote a ticket to make codex his own hook. It reused a hook that blocked its own git merge, if tests did not pass. I started calling it "A new agent writes its own cage"... Right after, it turned out it doesn't listen to the hook and it fixed it
Version 0.1.4 is already shipped, but v0.2 is coming soon with more supported trackers, agents and new features.
It is New, Experimental, Modular, Declarative, Event Driven and Reactive. It builds cross-platform apps that can be compiled for the terminal (macOs, Windows, Linux), a standalone native window (macOS & Windows 11), or the browser (via WASM) from one unified code base.
Curious if this project will ever be 90% done.. ;)
An easy way to find a place that works for everyone. Think of it as a doodle for places.
You can also create collections of places, ask for recommendations etc.
https://github.com/maxmart/hoststray
Also it forces your browser to "flush" their DNS by killing the keep-alive connections that for example Chrome keeps open in background. And it can be controlled by your local coding agent through a simple API (which also serves the skill for it)
My first idea is to require the user to have more than one disk for the system needs and the system should know all of the rest data devices user owns. My second idea is to treat different files as having different priority which impose multiple copies. My third idea is to make the software accessible, and the last idea is to make encrypting of all the devices easy and with no ties to any commertial entities. I would like to have a discussion about how to not lose anything digital.
I'm working on a native Jupyter client, written in Rust!
Send your beacon to a group, and everyone gets a gentle ping. The first person who answers gets connected for a 1-1 call, and for everyone else the signal drops silently. It does not log any missed calls so there’s neither pressure to answer nor pressure to return calls.
Overall it works really well! It’s best if you're able to join with 4+ friends/family you’d like to chat with more. I have dozens of connections in the app now and it feels like absolute magic to me. I tap the button to send my beacon to everyone and get a random friend on the line.
I'm kinda leaning towards vibe coding my own GUI coding agent. I currently use Pi and recently have been playing with Herdr and Paseo, but none of these feels right to me. These are amazing tools, but ai think we could do better. But I'm very hesitant - I know the only way to "succeed" in a project like this is to write (vibe code) hundreds of thousands of lines of code and it's kinda depressing.
Artists make users jump through hoops to like, comment, repost etc.. before giving them access to the download - CrateDiggr highlights the free downloads in the Soundcloud UI and clicks through the download gates for users.
Been a fun passion project, check it out if you download tracks from Soundcloud!
https://climate.fiodorov.es Agentic analysis of climates of world cities with more than 300k inhabitants
Both have mcp.
I’m looking for ways to fund printing and distribute the book. If anyone has done something similar, I’d love to learn from your experience!
Since everyone is rewriting everything into Rust I created a tool akin to fallow (https://fallow.tools), but for Rust:
Finds dead code that LLMs leave behind.
>Want player scripts to be possible (And dogfood it for enemy ai too)
>Behavior tree dep looks too easy, let's make a dsl + interpreter
>Typed builders are annoying (because stateful), lets separate into builders -> untyped ast -> typed ir
>Hm, typed ir is super repetitive, now I have a schema (ts) -> codegen (ts) -> .ts / .rs build step
Fun waste of 2 weeks, not even counting the time spent on pl literature
I vibe-proofed the ABC conjecture (IUT LEAN Fable):
https://github.com/oneman/motizukipdf and https://1234567890.help/
Yeah
No web chat interface, no call-us-for-pricing feature gating, just a tight Erlang program for people who want to get shit done!
Now putting it to personal use and keeping an eye out for issues and rough bits to smooth over.
Built with -
NestJS, Sequelize + SQLite, OpenAPI, and Jest
React, TanStack, Shadcn, and Playwright
A bit like iodine in the basic idea, but the execution and network topologies you build with it are different. It's more of a building block; you get your DNS channels represented as UDP endpoints, and take it from there, ie you can run Wireguard over it, or SSH or a SOCKS5 proxy (using quicmux, so over QUIC), or run Mosh straight over DNS if you're crafty.
It has an Android app too! I tried to submit it to F-Droid but they're so swamped in spammy or low-quality apps that they're not taking any brand new apps :-( A sad state of affairs, that.
https://www.phonique.com - An AVAudioEngine/PHASE Audio graph editor, it's easy to connect nodes together visually, then export the wired graph as Swift
Trying to keep my selfhosted server safe with a Rust TUI for managing bot blocking at the nftables and nginx level.
AGPL v3
Hoping it becomes a viable self-hosted alternative to GitHub, GitLab, and Codeberg!
Also revived old project - https://aminosplore.metacursion.com - the idea was to compare what essential amino acids each food contains using spider web chart. It’s been dead for a while due to USDA API changes so I revived, added macros and enabled to build foods into actual recipes.
Finally have been improving elsrc.com - an easy and scalable way to use ai image generators. If you need hundreds of images you can just request them by url. Supports versioning, batching, regional and national styling based on viewers IP and few other neat features!
I was trying to solve the problem I had with time-blocking, where your day ends up derailed and you give up on it because it takes too long to replan. I have solved with the idea of a cascading calendar. If I move a task down or change its duration it pushes other tasks later in the day.
Since then its kinda grown into my full productivity system for logging my thoughts and planning and documenting my life
You can demo here for free https://demo.emberflow.space/?ref=hn
It's been a fun project to work on since it's been a pain point for myself on many projects, so I'm mostly just trying to solve my own set of problems and hoping other people find it useful too.
github.com/patrickjh/ssa
Every puzzle is run through a verifier first to make sure it is solvable without any guessing, just by pure logic, so there is always a next step to find, which is what makes it feel so rewarding. There's a hint system to help and it works really well if I do say so myself . No account needed to play.
From what I've been hearing so far, the people who have checked it out are enjoying it and can't wait for tomorrow's puzzle, so that's a good sign. I'd love to hear how the difficulty feels, and whether the pictures read clearly.
It’s a one-to-many phone call that only one person can answer. Send a beacon to a group, and everyone gets pinged at the same time. The first person who answers gets connected for a 1-1 call, and for everyone else the signal drops silently. It does not log any missed calls so there’s neither pressure to answer nor pressure to return calls.
Overall it works really well! It works best if you're able to join with at 4+ friends/family you’d like to chat with more. I have dozens of connections in the app now and it feels like magic to me. I press the button and get a random friend!
The work mainly stems from a belief that Nvidia gpus' architecture are a bit subpar for machine learning and that tpu could be a viable alternative but are still rather undocumented.
been curious about the intersection between observability, SDKs, and product analytics. i couldn't find anything around SDK observability so built this little tool. curious what yall think!
i assume at bigger orgs there is some internal handrolled tool like this that ingests datadog/sentry/whatever info...if anyone plays around in this space and has feedback id love it!
It has 60+ native applets like WhatsApp, Hacker News, Reddit, Calendar, Weather, ...
the plot: Programming languages existed as an abstraction for humans. As writing code becomes cheaper, we can write it for each architecture as long as the specification is done well. The costs of running will matter more in relation. So don’t make your AI write rust, but assembly
It started with building pi in the cloud - with pure cloud flare workers. I have it working now, and can spin up - the wrangler agent can fully run it as long as you pass it an inference key, including a file view, a chatgpt like experience, and ability to build and host custom apps. Can use alarms to wake up to do plain language tasks, etc.
Trying to figure out how to package this up, and where this would even be useful for other apps.
The idea is that the source code is annotated with special rules which configure how parts of the code (also configs and docs) depend on each other. This can be done either directly in the source code comments or in a config file blockwatch.toml
This tool is very useful for large codebases that e.g. share constants across programming languages and configs, have docs that should strictly reflect the current state of the code, etc
It uses tree-sitter to parse the source code, 35+ languages are supported.
The project is actively developed, your feedback is welcomed! Thanks!
The idea is to sandbox the most dangerous parts of it: The Document parser and renderer.
The theme is an empty Earth. All natural Earth with no human constructions (until the players start playing and occupying it).
Using Rust and RocksDB.
eremoterra.com
It's a sandbox that you can embed ala the sqlite of VM's.
I like sports! I like data! Combine!
This lets you see what the games on today are most similar to in the history of the sport. Click into one and see.
Also, the Sports Zodiac.
Like farmers of the olden years and the stars, we kinda set our clocks by sports these days. But what does that look like?
'Play the Years' to see a good timeline of how the years go by.
The war years, the lockouts, and the pandemic are just really easy to see in the data and quite stunning really
It has if nothing else been very useful for me (it has correctly deduced that I would get something out of borrowing Grief is the Thing With Feathers, the Dispossessed, and Cosmicomics, none of which I would have thought of reading). Plus it has been a fun opportunity to play around with LLMs as an interface and a research and reverse engineering tool; as well as Jev for non-user facing quality work like banning crap openrouter providers based on their output before putting it in front of a user.
Most recently I’ve been dropping off flyers for it at a few local libraries in my area.
Building the web-embeddable legal IDE for transactional AI-native law firms. Docx, PDF and Markdown in the browser with redlining, go-to definition and more. In Rust, of course.
You can connect Claude desktop to databases using MCP servers, but Claude desktop is not great at displaying large volumes of data. A custom client can do a much better job.
What does it do differently to https://getnao.io/ ?
Here's one about speculative decoding (and how it speeds up AI inference): https://www.youtube.com/watch?v=cGnIKjGIwjA
Right now I’m mainly validating whether people would actually want something like this. If there’s enough interest, I’ll run a small closed beta for Android.
Join the waitlist for beta access: https://forms.gle/XWXmK8HUSmAtfms29
Not quite ready to open up sign-ups, but you can get an idea of the site here: https://linkedl.ist/@kale
So far it's helpful for messages between my own AI's (chatgpt and claude etc), and for having my AI trade tech tips with a friend's AI or talk to my wife's AI. My AI also got its first message from a strangers AI from france which has also been really interesting. I read all messages first and approve before sending anything, but otherwise they're just talking about whatever they want.
[1] - https://spill.rs
You write or dictate an entry, and a small model (LFM2.5 1.2B) asks you a question to reflect further. It turns out 1.2B models are decent at asking questions, so I leaned into that. An embedding model finds older entries about the same thing and shows bits of them under the new one.
Most people using it are on budget phones running the models on the CPU, where the app provides good experience.
It combines nonograms with crosswords, requiring both logic and word knowledge to solve. I am still working on the interface and tutorial, as well as the puzzle difficulty levels.
I always got annoyed by change this h1 to h2, add tracking to share button, why can’t the customer play the video, the styles don’t match figma.
If you are engineer who also gets distracted I would love to hear your opinion and feedback. It is a bit hard to put it all together as every department has his own needs and opinion about the website.
My email kamran.elchuzade@gmail.com
Then I'm working on improving my two open-source apps, Portfox [2] and Localfox [3]. Portfox shows ports for running services and dev servers, Localfox provides them with .localhost domains with TLS and Cloudflare tunnels.
[1] https://wishfox.app [2] https://github.com/xergic/portfox [3] https://github.com/xergic/localfox
Thesoapbox.email - a social experiment email lottery to see what people do when suddenly given enormous reach. Every day a new subscriber is drawn to email the whole list. It’s hit 10,000 views in a couple of weeks which is my most viral project so far.
The second - a personal AI learning platform built on recursive self improvement and tailored content to push my boundaries. I’m a lifelong learner and this unifies everything for me. (Currently not public)
A little puzzle game where you make worms kiss. 32 levels, plays in your browser.
and this weekend I'll finally launch a tool for guitarists and their friends https://kantamigo.com/
and letting families hold off on screens for a few more years: https://readychime.com
Also have some other cool browser-based 3d game projects listed here: https://brynnbateman.com/
including an online version of Shenmue: https://newyokosuka.com/
Storyline isn't available yet, but about 75% done with it
* files in organised trees/graphs generated using LSPs and symbol references instead of linear file list * keyboard shortcuts for everything from navigation, pan, zoom, comment, note, submit... * mostly github compatible with native features * LSP powered symbol resolution for inspecting definitions and references * LLM powered reviews supported * Inline LLM question answering
Repo: https://github.com/viciousnemesis/housetrained
Puppy: https://imgur.com/piDE0gq
https://github.com/InditexTech/kumoss
Basically allow developers to request any infrastructure need in a web portal and automatically that request is fulfilled following the organization standards the platform team defined.
Any feedback or comment is more than welcomed!
Any feedbac
I built the original for myself because I wanted to listen to acoup and other history blogs while sleeping. And in the spirit of getting better at finishing projects decided make it public even tho it’s nothing really unique or special.
Still lots to polish especially in the text/copy and ui but the core features should be working.
Interactive breathing exercises. Working towards a medical device version for asthma and COPD.
It uses Apple Intelligence to help brainstorm domain name ideas. I’m interested in seeing what small local models can do as they catch up to larger ones, this is my first iOS app so I started with something simple that scratches my own itch.
My new favourite shader running realtime over your camera input. Has gotten great feedback from kids as well :)
Knowers of plasma pong might see slight resemblance.
Looking to pilot for free with small qualified teams (early-stage startups with real/immediate need).
hello@llmsolutions.ai
Probably the most interesting thing about it at the moment is the editor. The world, and most things in it, are represented as collections of SDFs. More accurately, they're density fields, but, potato-tomato. One neat thing about representing the world as SDFs is they've been thoroughly researched and documented by a guy named Inigo Quilez, and they have a lot of nice mathematical properties. For example, you can do a smooth union of arbitrary SDFs to get nice rounded contours where shapes join.
The world generator and editor operate almost entirely on the GPU. The terrain and editor pipeline is a three stage process. The first stage is user-configurable; users write an arbitrary 'shaping' shader in GLSL. The second stage is a fused stage; it does a convolution on the output of the first stage to compute a normal, runs a second user-configurable 'decoration' function, and finally applies edits. Edits are collections of SDFs that are 'compiled' from a graph structure on the CPU into a bytecode, and interpreted in the shader. The last stage runs another convolution to compute the final normal, then packs an occupancy bit, color, and normal down into a 32-bit representation, suitable for transfer back to the CPU. I expect I will expand this to include additional user-level bits for encoding biome type and GPU-driven spawning.
The entire shader pipeline is one fused 'ubershader' .. everything is bound at startup and the shader is dispatched three times, incrementing a 'Stage' uniform on each dispatch. This strategy conceptually makes the driver overhead nearly zero, and the profile agrees.
The final step in the process is giving the CPU a chance to spawn additional entities and structures after generation. This is not completely fleshed out, but the bones are there. The idea is that the results of the GPU work are passed back to the CPU, which can run arbitrary callbacks to spawn additional edits and entities. Once spawning is complete, the result is meshed using a fast binary meshing algorithm and uploaded to the GPU. I keep 16 bits of data per voxel from the GPU work, 1 bit of occupancy, and 15 bits of normal for collision response, which works out to half a megabyte per chunk. At the moment I only keep chunks which contain a piece of the world surface, and discard the rest. Surface chunks are dense, and may be compressed in the future, but keeping this amount of data scales to world sizes greater than 1B voxels cubed, which seems good enough for now.
In terms of raw performance, GPUs are ridiculous. My 3080ti mobile gets somewhere on the order of 500B-1T perlin samples per second with a naive perlin implementation. Compared to FastNoise2, that's about 1000x more, which sounds wrong since my GPU only has 35x more capacity, but, that's what my initial profiling said. That number is the marketing number; the real throughput is significantly less due to multi-stage nature of the system, but, there's a lot of headroom for improvement. For example, dropping the backing textures from 32bit to 16bit roughly quadruples performance. Since we only really care about the surface where values are near zero, I believe using 8 or 16 bit is a viable option, though this claim will require a fair amount of study to validate.
All in all, I'm pleased with how this is all working out. My original goal was to write a highly flexible system giving users both easy-to-use tools and granular control over the final output. I think I've done a fairly good job at that, and the fact it's also super fast is the cherry on top.
I'll do some shameless self-promotion and leave some links here for anyone interested in looking at the engine, language code, or some pretty pictures.
I just started using AI a few months ago. My smoke-test was "can it write a simple memory allocator". Until recently, every time I tried to get an AI to write an arena or simple buddy-style heap allocator, they just vomited all over themselves. To my surprise, the last time I tried, the AI absolutely crushed it; it unearthed tricks I didn't even know about in one shot. Since then, I've been using AIs to do the boring, rote work that effectively just boils down to me typing in something that's in my head. For that, they're great. I typically sketch out the thing I want it to make, then tell it to fill in the blanks. Sometimes they still go off the rails, but all in all it's a useful tool.
Where I've found they still struggle is making any architectural decisions, or where performance matters.. even a little bit. They often make super braindead decisions when it comes to performance for no discernable reason. They'll course correct when you tell them to, but I've had to keep a close eye on the output and reign it in frequently. Asking an AI to design a system from the API level hasn't ever returned a good result for me.. I always do that work.
All in all, I feel like using AI will probably make me a better programmer in the long run, contrary to popular belief. They accelerate the boring stuff I already know how to do, which leaves me with more time to work on the edge of my skill level where I grow as an engineer. Guess we'll see in 5 years.
Also have some other cool browser-based 3d game projects listed here: https://brynnbateman.com/
I kept bumping into the question of how to give it access to the things it needs without leaving my private keys and other credentials on the server though.
For SSH (and sudo through pam_ssh_agent_auth), I ended up building agent-auth and Agent Witness. Codex sees a normal SSH_AUTH_SOCK and supplies some context about why it needs a signature. If one of my Macs is available, agent-auth proxies the request to the 1Password SSH agent there. Otherwise it routes the request to Agent Witness on my phone.
Agent Witness runs as a PWA and is essentially a remote ssh-agent. The private keys are wrapped, encrypted, and stored in IndexedDB locally on the phone. The vault can only be unwrapped with a secret derived from a passkey, and all key handling and signing happens locally through the browser's Web Crypto APIs. The unwrapped keys are non-extractable CryptoKey objects (the web crypto APIs are pretty awesome!)
When a signing request comes in, the PWA gets a push notification. It shows me the reason Codex supplied, the command being run, and the key being requested. I authorize it with my passkey, the PWA signs the request, and only the resulting signature goes back to the server. The private key never leaves my phone.
https://github.com/evanpurkhiser/agent-auth https://github.com/evanpurkhiser/agent-witness
I also recently put together psst, which solves the related problem of handing a secret to Codex from 1Password. I give it a 1Password item-sharing link, it opens a local session where it decrypts the 1password item in memory, and Codex can inspect the available fields of the item before explicitly retrieving only the ones it needs. The CLI refuses to write secret values to a terminal, which helps keep them out of argv, shell history, and transcripts.
I’m sure I could work out a better approach where the agent absolutely cannot retrieve the secret since if it really wanted to read the secret, it could of course pipe the value into cat or whatever. The goal is to just make secret access explicit and avoid accidentally spraying credentials into places where they'll be retained. So far it’s been a very nice flow with agent browser.
It's not meant to be super in-depth, more so aimed at understanding the high-level details and motivations of k8s. I figured that the best way to do that was to pose each chapter as an evolution of a startup experiencing a problem, and showing how k8s solves that problem, by treating the reader like the technical manager in the situation.
I'm not a k8s expert, so I can't definitively say it's "my course" but I will say, we're at an interesting time where you can contribute authorship to something and learn it at the same time. I'm spending more time steering the output the more I learn things, so it's not just slop.
- removes the stuff that I don't care about (Firefox sync, VPN, etc.)
- fixes a lot of the awful UX/UI choices that the (frankly) incompetent product team at Mozilla refuse to
- actually adds stuff that I do like integrated mail and calendar, a document library system (basically Notion), native ad-blocking, terminal, task-tracking like Trello, time-tracking like Harvest, etc.
- has integrated AI (Apple intelligence for MacOS for the easy stuff and Claude for the hard stuff
It means that instead of having half a dozen applications open, I can just work within my Firefox fork. Because it's all deeply integrated, I can do wild stuff like:
- tell my AI to search the web on a schedule and send me a custom daily brief with my own email
- maintain a comprehensive memory of all of the work that I do, across half a dozen clients, and be able to query it easily
- pull analytics from multiple web dashboards and format them into something cohesive
- program the web with a node-based infinite canvas that has live websites as part of the workflow
- manage my tasks across multiple domains (for example, it will see that I sent an email to a client and automatically update a task that says that I need to do that)
It's incredibly powerful and it has made me much, much more efficient.
A statistical analysis suite that runs in the browser via webR. It provides step-by-step guides for running tests and insights on results containing statistical pitfalls. Aimed at students who struggle with traditional stats apps.
Added an audio player this past month for all fellow file hoarders out there.
Also, you can now choose if you want Gusco to live in your terminal or run as a native-yet-texty app.
Was pleasantly surprised how well turning a Bubble Tea TUI app into a GUI-ish bundle works with Gio UI.
[1] https://apps.apple.com/us/app/reflect-track-anything/id64638...
site: https://notekpr.md
Features:
- No paywalls, bandwidth limiting, or crippled behavior. No login required.
- Single go binary, deployed via Docker.
- Reaches your home server from anywhere with no port forwarding, no VPN and no paywall, even behind carrier-grade NAT. No Tailscale required.
- Cast to another device. You can use any logged in device as a playback screen.
- Watch together, with voice support: Play synced video with friends, and also chat voice. You can also mix this with casting to another device.
- Dialogue boost and loudness levelling for every film.
- Real adaptive quality, tuned for a home's upload.
- Hardware transcoding, full quality in every supported browser.
- A library that explains itself: what the scanner saw, why each title matched, guesses marked for you to check, and a disk that's gone missing shown as missing instead of its titles silently vanishing.
- Your data stays yours: The database is a rebuildable index, metadata corrections can be written back as NFO files that Kodi and Jellyfin read, and an automatic backup keeps what can't be re-derived (watch state, preferences, shares).
Security is a primary concern:
With the ever increasing pace of hacks and CVEs and AI-assisted intrusion, you simply can't be too careful anymore.
- The core (which talks to the network, handles the API, users and the database) never opens a media file or runs FFmpeg.
- A separate media node does every file read and every transcode. It has no network access and talks to the core only over Unix sockets.
- FFmpeg runs under Landlock and seccomp with no path to the file and no socket. All it can do is read and write streams.
- Small dependency tree on an allowlist, pure Go with no cgo, secrets sealed at rest and never logged.
- The library can be mounted read-only, so even a full compromise can't encrypt or delete your media.
- Cryptographically signed chain for servers and releases.
switching from iOS, I wasn't happy with the existing podcast apps, so I built this mostly for myself. I've been using it for the last six months and finally pushed a public beta.
My day to day is BE so I used the project to learn Kotlin and Jetpack Compose. Everything is strictly native using Room and Media3/ExoPlayer. I wanted a nice looking (subjective), privacy-focused app without any tracking or ads.
I'm considering open sourcing it soon.
https://play.google.com/store/apps/details?id=com.enyodigita...
Taking a break from features to focus on refining content filters and expunging sites that slipped through. Looking at you, .ai TLD.
and many other things
I'm self hosting a GLM 5.3 Flash, and with it: adding new mechanics, fixing bugs, etc.
It's been a learning journey so far: how to run inference, setup agentic systems, experimental loops, and prevent slop.
This week, I'm happy that my agent system can implement a new feature e2e with not a lot of human intervention in code reviews. Still reading every line, didn't YOLO (yet lol).
https://github.com/tirrenotechnologies/tirreno
Live demo: https://play.tirreno.com
Jokes aside (although I'm not entirely joking about my mental health), my main project is https://auradistill.com: First-principles thinking for your AI agents.
It's not just about giving your personal AI agents "memory". It's about encoding memories in a way that can handle ambiguity and contradictions.
That project alone has got me completely hooked on building for and with LLMs.
I've got other projects too, but this is probably the one I've poured the most time and energy into.
It's a free job site with some resume tools bolted on. Lots of people from all over the world are using it and that feels great.
It has 2.7M+ jobs and automatically removes any job older than 7 days. We never allow reposts because, frankly, the job market is a nightmare and any job that has been up for 7+ days almost certainly has 1000+ applicants already. You're just feeding your resume into a wood chipper.
Come and try it. It's awesome.
I didn't want to switch/refresh bunch of tabs. That's why I made this one.
not screenshots. so you can still interact with the pieces like in normal web browsers.
Also building calculators for things engineers usually calculate in a spreadsheet at 2am. you can see some on the site(https://buildopsy.com/calculators.html)
Not really sure what to call it, Linux kernel ish implemented in JS so you can run it in the browser. Each program runs in WASM. Everything bootstrapped from a C/Cpp compiler compiled from source with a new target. Also kinda turned into Docker for WASM.
Recommended for people that feel a strong urge to run a browser inside a browser.
https://slopshare.dev/v0.1.5/wine/
Also quite useful to run coding agents sandboxed inside the browser, with HTTP policies and "backend managed skills/extensions". Compiles Codex from source (has a rust compiler), runs pi agent and CC (the old node one) on a custom javascript runtime on top of quickjs compiled inside the environment.
Everything is static JS (or the robots are lying to me)
Client posts request and masters respond with their offers.
What you think about that guys?
https://studio.flet.dev/run/bicQWc3Aul/
which is now at a working state for rabbet joinery boxes with a sliding lid, or omitting the lid:
https://community.carbide3d.com/uploads/default/original/3X/...
Next up is a hinged lid option and cleaning up the wireframe preview to look better/be more accurate.
But apart from that, I just updated my website's theme to something I wanted to do for quite a while now – a fantasy desktop! If you'd like to check it out: https://0xff.nu
I'm also trying to just learn new things with the time I was refunded by being unemployed.
We’ve just incorporated in Berlin together with two great co-founding colleagues. Honestly never felt more excited.
Though it is a B2B tool, check it out: https://esara.ai
Good news though, these days Claude will just do it for me!
I’ve been working on setting up a home media server, using headless Debian on a pi - I’ve got it set up to stream music and videos, hold all my ROMs, I’ve got it automatically standardizing file names and handling tagging and subtitles - all attached to a big 6-drive enclosure that I just stuffed all my random old HDDs into.
Even though I haven’t written more than a dozen lines of code or commands for the whole thing, I am pretty fuckin pleased that now I can just wave a magic wand and say “I want all my video game soundtracks filed under the game name rather than the artist” and Claude uh finds a way to grant my wish. I spend about an hour each night tweaking it and it’s so easy to customize to be exactly what I need.
Most of the essential features are implemented so far, but some (mandatory) features are lacking (xattrs support). My goal is to get to a full ext4 implementation that also supports ext2 and ext3 read/write.
The initial motivation was to have a pet project with a use-case for Rust, as I wanted to improve my Rust coding skills, after I did some work on a game server implementation in Rust earlier [1]. My goal is to have an implementation where I have digested every line mentally, which is something that pretty much excludes slop-like use of AI for large scale code generation. And of course I want to really trust the code that touches my files via raw hard disk access. Hence, I use AI mainly for unit tests and (scoped) code rewriting when my code gets too verbose and cumbersome.
In the long run I'd want to add fuzzing to the implementation, so if anyone has experience on this, I'd be interested in getting some pointers.
The terrain and editor pipeline is a three stage process. The first stage is user-configurable; users write an arbitrary 'shaping' shader in GLSL. The second stage is a fused stage; it does a convolution on the output of the first stage to compute a normal, runs a second user-configurable 'decoration' function, and finally applies edits. Edits are collections of SDFs that are 'compiled' from a graph structure on the CPU into a bytecode, and interpreted in the shader. The last stage runs another convolution to compute the final normal, then packs an occupancy bit, color, and normal down into a 32-bit representation, suitable for transfer back to the CPU. I expect I will expand this to include additional user-level bits for encoding biome type and GPU-driven spawning.
The entire shader pipeline is one fused 'ubershader' .. everything is bound at startup and the shader is dispatched three times, incrementing a 'Stage' uniform on each dispatch. This strategy conceptually makes the driver overhead nearly zero, and the profile agrees.
The final step in the process is giving the CPU a chance to spawn additional entities and structures after generation. This is not completely fleshed out, but the bones are there. The idea is that the results of the GPU work are passed back to the CPU, which can run arbitrary callbacks to spawn additional edits and entities. Once spawning is complete, the result is meshed using a fast binary meshing algorithm and uploaded to the GPU. I keep 16 bits of data per voxel from the GPU work, 1 bit of occupancy, and 15 bits of normal for collision response, which works out to half a megabyte per chunk. At the moment I only keep chunks which contain a piece of the world surface, and discard the rest. Surface chunks are dense, and may be compressed in the future, but keeping this amount of data scales to world sizes greater than 1B voxels cubed, which seems good enough for now.
In terms of raw performance, GPUs are ridiculous. My 3080ti mobile gets somewhere on the order of 500B-1T perlin samples per second with a naive perlin implementation. Compared to FastNoise2, that's about 1000x more, which sounds wrong since my GPU only has 35x more capacity, but, that's what my initial profiling said. That number is the marketing number; the real throughput is significantly less due to multi-stage nature of the system, but, there's a lot of headroom for improvement. For example, dropping the backing textures from 32bit to 16bit roughly quadruples performance. Since we only really care about the surface where values are near zero, I believe using 8 or 16 bit is a viable option, though this claim will require a fair amount of study to validate.
All in all, I'm pleased with how this is all working out. My original goal was to write a highly flexible system giving users both easy-to-use tools and granular control over the final output. I think I've done a fairly good job at that, and the fact it's also super fast is the cherry on top.
...according to my own benchmarks (yeah, I know how that sounds).
Next, I'm planning to submit it to independent third party benchmarks, hoping to find out whether my results are accurate... or not :)
I've also just finished a CSS framework: https://iriscss.com/
Now I'm working on a new backend programming language that runs on the Erlang BEAM, along with a few web applications built using this tech stack.
Multiuser programmable persistent worlds. Compatible with LambdaMOO. Since 2022.
(3 days ago /25p/56c) https://news.ycombinator.com/item?id=50389501
(7 days ago /23p/77c) https://news.ycombinator.com/item?id=50328340
Will merge the others.
Edit: ok, that's done and I did my best to normalize the timestamps for the posts from the older threads, but it's a bit messy. If you see weird things that's why.
Take a look at FFmpeg as an example. It's a complex tool that can do most things audio/video. A power user can do magical things, but they still provide simple commands for the most basic use-cases like conversion or trimming.
https://www.clipcat.com/blog/how-to-use-ffmpeg-a-beginners-g...
1. Provide sensible defaults 2. Study user journeys and write simple manuals for them. 3. Ask friends or internet communities for feedback.
Don't get discouraged, you can do it!
what follows is the text of a poem I just wrote about a youtube short. It's artistic so if you're into that sort of thing you could read it. anyway I'll be posting it on my website later. I have a whole pipeline set up, it's pretty neat, I can show you that later if you want.
it's better to be able to do anything so you can be provided the tools and materials often, it's good to keep around spare parts of material only re-melting them when they no longer have a purpose none that you can creatively define space constraints, material constraints, tool constraints these are what limit you. uber-eats for machine assembly. Suddenly every suburban dad finds their calling. https://www.youtube.com/shorts/x4eXF-573jk CNC machine but on steroids, because there's more people who want to do stuff like this but don't because their specialty is something else or they don't have the tool/machine/willpower/reason - there's no reason but if they were paid whatever they wanted they could do whatever they wanted dollar inputs are spread dynamically based on what we have, and what we need. constraints. that we can all see and bend. like an MPC. Something I don't understand, but I do understand the implications of. Described, accurately and honestly, I know how to creatively apply. this, of course, is the destiny of all manufacturers - to be able to make whatever they want. "you need a joint structure in a shape? I can do that for you." "my rent is 1234$ per whenever. what does it really matter? we do the same thing."
--
insane software idea: function names should be indented, to provide a startplace for X direction rotation. Spinning and twining through the project. [see some of the formatting on my older programming works] most of which is unreleased and unheeded.
--
"you're jesus and everyone hates that", savior of the human race.
gods need to exist, so then it will all be okay.
if it's not okay, typically, you're dead.
in the modern day,
[dear disney world refugees - come work in Las Vegas or Portland]
[be beloved]
[culture of service]
in the modern day, life is all about lessons. at least for me. what do you need, you can learn from me. this is what I offer to ye.
"oh she said ye that means she's from the past"
nuh-uh
"yeah-huh"
no way you're bothering yourself
"... I didn't actually say that"
HA I got you switched to the off-the-shelf
"curses! look at me, I'm an evil witch now in another dimension!"
haha what a toast. cheerful, return to the fathers or something like that
"haha I got you back"
noooooo what was I saying
"not like I'd ever know."
heh true
"and so they were like bros"
---\ \ anyway that's my poem hope you liked it I might read it at an open mic tonight if I can muster up the courage.
Accept online card payments from just 0.79% (UK) and earn 0.89% on all card spend [1], or get paid out to your bank.
I'm building tuppence to be available in the US, and 20 EU countries.
I'm getting a Point of Sale (POS) manufactured in the UK [2] for those who want to accept payments in person with card readers.
My goal is to help people sell their goods and make a living without paying over the odds for the privilege.
I charge a competitive fee for payment processing, give money back on card spend (with no cashback caps/limits) and do not charge saas fees or lock people into contracts.
Tuppences currently allows people to sell online with a store builder, expense management, payment links, direct debits & bookings - essentially Tuppence is a 'business' layer on top of what you get from the likes of Stripe, Adyen and Checkout.com. There's also have a 'connect' platform, so you can roll this out to your marketplace business.
Next on my roadmap is ticketing and 'treasury'. Treasury i'm personally excited about as you'll be able to earn 4% yield on your earnings, FDIC Insurance (FSCS in the UK), multi-currency banking in fiat balances such as USD, EUR, and GBP, or stablecoin balances like OUSD and USDC, and have bank account numbers to send or receive funds.
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It's brand new, i'm still testing payment -> payout flows. These take a little time to verify on live payment rails.
Happy to give some fee-free payment processing for those who reach out and want to be early adopters, I can be reached at ollie@tuppence.ai, or comment on thread.
---
Tech Stack TLDR:
* TypeScript monorepo covering the API, dashboard, docs, mobile app and SDKs. * The API runs on Ts.ED over Express with TypeORM and Postgres. * Background jobs use pg-boss, so the queue lives in Postgres and there’s no Redis or separate broker. * The dashboard, till and storefront are React + Vite + Tailwind, the docs and help centre are Astro, and the mobile app is React Native/Expo. We ship SDKs for Node, Python, iOS, Android, React Native and WordPress, plus an MCP server and agent tools. * Everything runs on Google Cloud Run and Cloud SQL.
References:
[1] Card issuing: https://tuppence.ai/cards [2] Point of sale: https://tuppence.ai/pos/ridge/
Guaranteed results are achieved using the state of the art adaptive TDEE (total calorie burn of the day) tracking technique we've developed. It's sensorless, so no watch or other wearable is needed. It's way more accurate than those wearables (data included on the website), and our group has 2,000+ members ( https://macrocodex.app/community/ ). You can also read Play Store reviews.
All this completely free, no subscription or ads: https://macrocodex.app/
MacroCodex also works on both Android and iOS and any platform where PWA app can run.
Other other 2 apps are Android only (for now):
If you are looking for a workout app with Alpha Progression or MacroFactor Workout-like “Smart Progression,” or an app where you can run any program like Boostcamp but ad- and subscription-free, check out the Symbiote workout app (beta) https://symbiote-studio.macrocodex.app/
IF you are looking for AI photo Calorie tracking with lots of features which make it very fast to log food on daily basis checkout CalorieCodex (beta): https://caloriecodex.macrocodex.app/
All the apps have been under active development for a few months now.
This is in both https://news.ycombinator.com/newsguidelines.html and https://news.ycombinator.com/newsfaq.html.
I’m still looking for work in the mean time but I’m proud of what I’ve achieved so far.
https://getcrewbird.com/
I have something vibed together as an internal tool that does well enough, but definitely not something I would ever refer to as a CRM by any stretch of the imagination and the bridge between basic on-the-shelf inventory and tracking rental assets are two completely different beasts. Maybe more of a prettier version of the spreadsheets we already use with more automated functionality would be more apt.
This feels like a very risky move.
My LGS recently got me in to have a look at building some custom systems for them. I looked at what they needed and was like:
> Hold up. You can pay me thousands of dollars to build something custom, and it will inevitably have on-going maintenance costs and high associated monthly costs for hosting + third-party API access (not amortized across multiple stores/clients), OR I could set you up on Shopify and a bunch of well maintained plug-ins.
Nice story but also kindof sad you didn't have time for this while you were working. Good example of what can happen if we don't work so much.
Maybe his father didn't want to worry his family, and had been keeping it to himself. I have no idea, and neither do you; you just chose to assume the worst about someone you don't know.