@timnuss · X

Trust layer for agriculture

AI Onekit — AI 聚合模型创作平台 - [更多介绍](https://aionekit.com/models)

stoicstoic · HN

Show HN: Diff two versions of an AI agent and catch silent permission changes

@honitec · X

做了一个每天自动刷新的模型定价 API 替代 LiteLLM，每天拉最新的推理定价 为什么需要「每天」？ 因为 AI 模型价格一周一变 3月 $8/M → 6 月 $3/M，半年跌了一半多 半年前到处喊 GPU 短缺 现在全员降价抢客户 估值故事讲的是稀缺 现实是价格比成本跌得快 这中间的落差，就是泡沫

@Mrkking07 · X

Try now this is domain costs and renewal costs comparison webapp Support prices - GoDaddy - Hostinger - Cloudflare - Namecheap - Others 👉 Try here:

@ProfDeskApp · X

Let's connect. Building giving teachers their night back.

@prof_safezone · X

Gambling on debate rounds with AI judges.

@ShashankBhutiy4 · X

Duolingo for Soft Skills and career growth

craigsmitham

@AmitGajbhare · X

We build - a modern typing platform that helps people improve typing speed and accuracy with AI-powered practice, real-time feedback, progress tracking

@AIWMCX1 · X

Consultants don’t need more noise. AIWMC Quantis helps turn messy business ideas into clear scenarios, runway views, and risk signals — so you can spend less time rebuilding analysis and more time giving the client a real answer.

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.