bigmuzzy · HN

The Posting Substack API

dylansuttonc · HN

When I started programming Edge Python more than six months ago, I was looking for a version of Python that weighed less than 200 kb so it could reach any device, sandboxed by design, built with browsers in mind, decoupled from the operating system and very fast. Today the closest competitor would be MicroPython. However, it did not solve my real problems or the problems of the people who use the project. * Managing async and blocking code on the event loop. MicroPython inherits CPython's blocki

@cityzenxs · X

Just shipped something on @commonsmade and I’m genuinely hyped. Introducing Starbound Python It’s a small interactive world where you help a robot buddy named Nova rescue lost stars by writing real Python commands. You type a line of code, hit run, and watch the map react in real time. Simple commands, instant feedback, space vibes. I built the whole thing inside the Commons/VibeFi harness. No fighting with deployment, no separate backend setup, just vibe → iterate → ship. The free compute + built-in tools made it feel almost unfair how fast it came together. This is exactly what I think the future of building should feel like: An AI coding environment that doesn’t just help you write code, but actually lets you launch it, share it, and (eventually) earn from it. If Cursor or Claude Code had a built-in accelerator and 24/7 playground for vibecoders… this is the closest thing we’ve got right now. Go play with Nova for a bit. Write a few lines. Light up some stars

@francis7_a · X

Building - learning tools for devs and student. happy to connect.

@CodeBullapp · X

Building CodeBull. A platform where you build trading bots with Python or visual blocks, backtest them on real-world market data, and compete against other users’ strategies. Zero risk. Just learn trading by building.

@jitendraballa · X

@erdemwrites · X

Dhravya · GitHub

burrow a whole dev machine in a browser tab - bun.wasm, shell, git, and local AI. phones home to nobody.

@simskiiee · X

Aldasams · HN

Show HN: DocFlow – AI documentation updates for GitHub pull requests

@anhphong_dev · X

@BinaryScriptar · X

Introducing OtterKit. Always-on webhook endpoints and instant tunnels, built for developers and their AI agents. It started with a problem I kept hitting: every time my coding agent needed to test a Stripe or GitHub webhook, it had to open a tunnel. What OtterKit does • Permanent webhook URLs that answer senders 24/7 with the status, body and headers you choose, verify signatures on arrival (Stripe, GitHub, Shopify, Slack and 12 more), store full history, and forward matching events to your app, signed and retried • Instant HTTPS tunnels to any local port in one command, stable subdomains, auto stop, basic auth • Replay any captured request, edit the payload, re sign it, fire it at your local handler • Pulses: scheduled HTTP calls and dead man's switches with email alerts • Payload drift detection: baseline the JSON shape per event type, get emailed when a provider changes it • Custom domains ( and an email inbox on the same endpoint • A