@akadhanu · X

an ai sprint retrospectives for it teams (

@UfuomaSports · X

@tedwardo16 · X

@bull_developer · X

Built Krafiter to make AI resume optimization more honest — no fake skills, numbers, or experience. Just launched Would love your honest feedback. #buildinpublic #SaaS

@RelaXstartcom · X

Building a product that solves a real problem is step one. Step two is ensuring your early operational setup is actually legible to VCs. If you want to stress-test your setup and check your investor readiness, try this quick 3-minute diagnostic:

@AyushGu50073550 · X

Some improvements are still required

u/econobro · Reddit

Built a tool that skips the cloud LLM call when the prompt doesn't need one — would love feedback Live demo, no login, paste anything and see where it actually resolves and why: link What I built Offramp — a small client-side SDK that sits in front of whatever LLM API call your app already makes, and resolves some prompts entirely on-device instead of sending them to Claude/GPT/whatever cloud model you're using. Yes, I used Claude (you'll be able to tell right away if yo

dobby_lee · HN

Open-Source for AI tool status checker

@tronghiendev · X

Building ShipTale — helping devs see what broke after a deploy. Would love to connect.

@moksy_ai · X

That 10% is specs. Knowing your edge cases, user flows, and what ‘done’ actually means before you write a line. Vibe coding with a clear spec produces real products. Without one, you're just building a very fast demo. Moksy handles the spec. Free.

@cryppimagic · X

中国的朋友们，大家好。我很喜欢看你们在 X 上发的内容。 想跟大家分享一下，我做了一个完全免费（无任何限制）的套利扫描工具，覆盖 45 家 Perp DEX 和 CEX

@guru3s · X

IMF team for when your AI agent ( Ethan Hunt ) is about to fail v0 at