pampas · HN

Redactle LLM Leaderboard

u/12qwww · Reddit

I built a live benchmark to see which AI actually writes the best frontend code Hey everyone! I built OpenVibeEval because I was tired of "vibe-checking" AI-generated frontend code. I wanted to know which model actually produces the most accessible and clean React/Tailwind output. What I built: •A leaderboard of 24 models (Claude, GPT, DeepSeek, etc.) ranked by axe-core accessibility scores. •A Harness Comparator to show how different system prompts change the same model's output. •

@dayoffdev · X

@MBrew26730 · X

Dataset cleaning + fine tuning + continual learning at

@alvaisy · X

finished voice to text small web app for my own itch. it's opensource. use openrotuer key. and use it with 4 models.

@hkbonur · X

that digitalise paper forms and make everything multi language, so businesses can get better conversion. One form any language.

LandoLorinse · HN

Vocab Top – AI-powered vocabulary builder that helps you retain words

wbemaker · HN

I Am Hosting Amalia – The First Portuguese LLM

ada1981 · HN

I built a web tool to see and edit what an AI thinks before it answers

fran-mora · HN

I gave 5 AI coding agents one prompt: grow a banana plant through its whole life in three.js: sprout, leaves, flower, fruit, rot, then pups that restart the loop. It's deceptively simple and yet very hard to get right from procedural code: you have to write working three.js and understand how the plant is actually built; how it hangs, ages and decays. Get the biology wrong and the code renders something weird. These are agents, not bare models (Claude Code and Codex for now). They can use tools, including playwright to check their work and improve it.

carsenk · HN

Frontier.fast – Help push the frontier of LLM speed forward

joshua_s_penman · HN

Semantic Overlays – an NX bit for LLM prompt injection (live demo)