brianhabana123 · HN

TensorRT-LLM running natively on Windows (no WSL)

@Akinzoooo · X

niklio · HN

You write 8 text completions and open models score how predictable each word was too them. Predictable => clanker. You can share results with your friends. The scoring checks every word you write against the model's logprobs. Right now I'm using Llama3.1, Deepseek v3 and Qwen3 to keep costs low. I tried to calibrate it so other models (chatgpt/claude) score 100% and interesting human responses score in the 10-30% range. Totally free, no signup

@sadmandu55 · X

@Ninjafromqueens · X

Hello! I am the founder and owner of Audit your smart contracts before deploying.

@raeezatameez · X

dropping mine - would love your take!

playAutonomica · GitHub

Autonomica Rent GPUs and run any AI model, paid in SOL. Buy with $RAM and every $RAM spent gets burned.

@KenziChenBuilds · X

Hey! Developer behind Always looking for feedback to make it better.

@SanuCodes · X

still building-

@frank_brsrk · X

reasoning tools for ai agents

@ReplyDudeAI · X

vibe coding gets you a demo quick but falls apart the second you need real logic or scale. the course probably skips that part.

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