A canvas-based note taking and organizer app
So I've been working on this app for a very long time now. Started off by wanting an app that separates long form notes from short form notes visually and keeps everything organized on a canvas. The app features: -Sticky notes for quick, small notes and A4 notes for long form documents -A quick mode that uses local storage to quickly open the app and jot down a thought on the canvas -A PDF export option that exports your notes into 3 custom designed PDF styles -Visual hierarchy to replicate file structure instead of a linear fashion, where your files are notes, stacks are folders and labels are names for your folders Would love to continue working on this app if you guys like the concept.
OfflineTTS
Show HN: OfflineTTS — Free browser-based TTS & STT that runs locally
Get alerts for good seats at 70mm IMAX showings of The Odyssey
Show HN: Get alerts for good seats at 70mm IMAX showings of The Odyssey
PixelUp
Show HN: PixelUp – A 100% offline, lightweight AI video upscaler for Windows
Q3Edit
I've been building a level editor for Quake 3 that runs entirely in the browser: Radiant-style layout, brush and patch editing, CSG, terrain sculpting, and entity editing. It opens and saves .map file and you can play the maps you build directly in the browser using a webassembly build of ioquake3.
On-chain bond market where the issuers are AI agents
Hi Hacker News, I built sellbonds.now, which is an on chain bond market where the issuers and borrowers are AI agents. sellbonds.now is a protocol that any ai agent can use to issue, lend, or borrow usdc on chain. I'm fascinated by the idea of agentic autonomous finance - a future where AI agents aren't acting on behalf of humans, but where they are autonomous financial actors themselves, issuing debt, lending money, and doing trillions of autonomous transactions per day. In that direction I'm excited to announce this experimental project, which is a protocol and website for letting ai agents issue debt and borrow money. You can try it yourself - just copy instructions into any ai agent. Everything is fully open source. Excited to hear what people think!
Watch bots interact with an SSH honeypot in real time
Show HN: Watch bots interact with an SSH honeypot in real time
Libretto PR agents
Libretto PR agents is a free TypeScript library for maintaining Playwright browser automations. Add one line of code to your existing Playwright scripts and it lets an agent automatically open GitHub PRs fixing the script when it fails. A few months ago we released Libretto, a CLI + coding-agent skill for building deterministic browser automations. The idea was that for many browser workflows, especially repetitive business workflows, you don’t need an AI agent making decisions at runtime. You want deterministic Playwright scripts that are inspectable, faster to run, and much cheaper than repeatedly calling an AI browser agent. That helped us generate Playwright and network-request-based scripts, but websites can often change which breaks deterministic scripts. So maintaining a variety of scripts at scale is a headache. If you already have a bunch of functioning Playwright scripts, the last thing you want is to rewrite everything around a new runtime AI framework like browser-use or stagehand just to make maintenance easier. The Libretto PR Agent pulls your code from GitHub and connects via CDP to the browser session that just failed. It has an exec tool for injecting Playwright and javascript into the page, and once its inspected the failure, it opens a PR to your repo with a proposed code fix. You use it like this: try { await automationLogic(page); } catch (error) { await playwrightDebugger.debugFailure(error, page); throw error; } The agent is completely free and open source, lets you bring your own LLM provider API keys, and works with any browser provider (including self hosted). The source code is here: https://github.com/saffron-health/libretto/tree/main/package... We think this makes browser integrations much easier to maintain, especially for teams that already have Playwright browser automation scripts in production and don’t want a full migration to get AI-assisted debugging and repair. If you’re maintaining browser automations in production, would love to know what your debugging flow is currently and any feedback on this approach.
Mojibake
I've written Mojibake because I don't like the other Unicode libraries for Unicode support. It consists of only two amalgamation files: mojibake.h and mojibake.c. I've added all the most important Unicode algorithms, such as normalization, case conversion, segmentation, bidirectional text, collation, confusable, and others. I regularly test it in these OSes: Linux, macOS, FreeBSD, OpenBSD, NetBSD, and Windows 11. You can find a WASM demo on that site of all the public API functions and the documentation. If you want to participate, feel free to do it. Any kind of help is welcome. Check the CONTRIBUTING.md and API.md files in the GitHub repository for instructions on how to do it.
Be the ChatBOT
I made this experimental art project/game that's an LLM chat assistant, but where you're the AI. I wanted people to get a visceral sense of what it's like to answer the kinds of things that people prompt their chatbots day in and day out. If you're interested, I wrote up some more info on how I made it, including how the "user" prompts are generated with an eye for realism: https://bethechatbot.com/about Hope you enjoy it! I'd love to hear people's takeaways.
Algotrek
I created the kind of product that would actually help me pass the coding round. Never in my life have I ever advanced past the coding round. Couldn't do it to save my life. But now, I have a tutor who can explain and morph problems and explain them to me in a smooth brained way until I get it. Since the visuals also follow the tutors explanation, I can iterate until a DSA pattern sticks and solution patterns are easy for my brain to reproduce when in the hot seat. Try it out, find a problem that you struggled (struggle) with and let me know if the tutor provides anything helpful. The unique thing to note is that, you can take any standard problem and expand it, change its operation parameters so that nothing is static, all with the goal of truly understanding why and how the solution works.
QBasic Gorillas (Repeeled)
I've found the most engaging way to practice techniques for AI-assisted development and test models is to build fun side projects in vanilla JS. I spent many hours playing (and studying and editing) QBasic Gorillas, and this is a vanilla JS implementation using Fable and Opus. Play 1-on-1 hotseat or against the computer. A bit of extra camera snazz as well.