ada1981 · HN

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

@MBrew26730 · X

Dataset cleaning + fine tuning + continual learning at

ephraimduncan · HN

Observability for Coding Agents and LLM Applications

dev_dan_2 · HN

WatchMachineGo – A visualizer to show hardware performing LLM inference

bingus-bongo · HN

Use GLM-5.3 in Cursor today via tokengo API

davidtsong · HN

Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities

tdubey · HN

DWS A LLM Generated, "Drudge Report" style news site

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. •

charltonraven · HN

RavenGate – LLM gateway that redacts PII across SSE chunk boundaries

@DeveloperL92487 · X

I built my first app in 60min And now I got $500 MRR in one month Check here if you are interested It’s a tool to reduce agent token consumption, speed up agent response, and clean up memory cache

@marcusyul · X

THEY JUST GAVE AWAY 100 MILLION FREE TOKENS SO YOU CAN STOP BURNING THROUGH YOUR CLAUDE CODE BUDGET. if you code with AI you already know: the session fills up, starts failing, and on top of that you're overpaying there's a tool that fixes this: it shrinks the context before the model even sees it same model, same response, a fraction of the cost in a real session: from $154 to $43. a 72% drop and right now: → extend your Fable sessions in Claude Code → 100M free tokens to try it out you don't switch models you don't touch your code you just stop paying to repeat yourself link below ⬇️

khalis_ux · Product Hunt

CartesiumAI Learn by experimenting with a real-time AI companion