@9to5_Dad · X

Ai mobile app ui designer with taste

@otakuaakash · X

@SinghApurv1711 · X

Hey! Check it out here:

ox_alpha · Product Hunt

Ox Alpha Chat with the mysterious frontier AI model for free

u/Funny-Temporary7465 · Reddit

Built a Python learning platform because I was bored of the existing options Hey everyone, I built PyTutor, a web app to learn Python by actually writing code from the first minute instead of watching videos. 60 challenges across 6 modules, a real Python editor in the browser (runs via Skulpt, no backend needed), a live variable inspector so you can see what your code is doing as it runs, and a certificate at the end. Built it with AI-assisted coding tools, which let me focus more on the

@CHATTU3301 · X

@_m3rl1n

@7spiritz · X

Check out what I just built with Lovable!

@Raullen · X

6 months ago, @qevan and I hit a stupid wall: just trying to share a local file or some logs with an AI agent was incredibly frustrating. So, we built the first version of —a dead-simple, secure way to pass context to AI. The community feedback was amazing. We got ~200 stars on GitHub, and it quickly became a daily driver for a lot of developers. But recently, we realized the game has changed. Our workflows evolved. It’s no longer just humans sending files to agents. Agents need to write back to humans. Agents need to hand off context to other agents. The whole team—human and AI—needs to collaborate. So, we gave vnsh a massive upgrade. Today, it’s no longer just a secure clipboard. It’s now a living workspace. 🚀 You drop your context in once and get a dynamic link. Claude Code, Cursor, Cline, and your human teammates all open the exact same document. When one agent updates it, your whole stack sees it instantly. Complete context handoff, without ever copy-pastin

JulianQuinn · HN

Show HN: TaskPeace – a task queue my AI coding agents pull work from over MCP

@Ex3NDR · X

Few days ago Happy had a birthday. Tried to refresh one of the most neglected part of it: our Happy Website: also i built a new harness called “rig”. i started to use at work recently instead of codex/claude code and i liked how it does work. i want to share this with everyone. it is a codex and cause code reimplemented using Pi, but keeping native prompts and expanded a little for uniformity (like added workflows to codex yay!). when something new released that is worthy of porting - i ask Sol to mim for prompts or read sources directly and i can have a feature within an hour. why this is needed? i was constantly blocked by the needing of integrating a lot of models together, which each has their own harness or many doesn’t have any, but i didn’t want to go too far from native and don’t like the idea of extensions - i want experience to be the same everywhere. i think configuration > extensions. more soon

@phero20f · X