ashaney · HN

Curio, a place for HTML files

@supezen · X

😂我做了一个截然相反的产品，把「过程」留给 AI，把「结果」留给自己

@Kony_05 · X

Here’s my products. KOINCODE CLI KOINCODE Review

@andreasacca · X

Inspired by @robj3d3’s that went viral last week. Over the past year working with ecommerce brands I kept hearing: “I only use 10% of this SaaS and I’m paying hundreds for it.” So I built the Ecommerce focused version: 200+ tools analysed. Honest verdicts on what you can realistically vibecode. Vibecoded entirely with @Lovable + some fixes, starting from the prompt taken from First detailed analyses coming soon. Reply with the tool you pay for every month. Thanks @robj3d3 for the inspiration! Loving X

malik_dixon1 · Product Hunt

TraceLogicAI: AI Architecture Evaluation Compare AI architectures with evidence, not guesswork

@intheworldofai · X

On the World of AI Bench (vibe-coding composite): Claude Fable 5 → 85.2 GPT-5.6-sol → 82.4 kimi-k3 → 81.5 Moonshot’s K3 just walked in and claimed bronze on one of the toughest coding-focused leaderboards out there.

u/Ruqii-ruqii · Reddit

I built an open Eval to compare different AI agents/tools/pipelines and find which solution works the best (not very pretty╥﹏╥, but practical) The original reason I built it was because I wanted to find a good PDF parser. Every PDF parser claims to be the best, but none of them can get my PDF 100% correct. They would either miss numbers or hallucinate some. Or they get PDF A and B correct but failed at C. Or get C correct but failed at A and B. Very frustrating. So I create

@MattAudFlo · X

finds the reasons AI engines overlook you, and writes the exact fixes that get you recommended.

u/dumbfoundded · Reddit

Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db

@Raccoltadev · X

If you have too much scattered feedback:

@mageofweb3 · X

@VisionAIWS · X