@GorodkovVi85373 · X

- load testing made easy even without enginnering team. Faster, cheaper, distributional

phrasel_service · Product Hunt

Phrasel AI-powered PTE Core practice, feedback, and mock tests

foh_quarters · HN

Verify what an AI agent did, then tamper with the record (no signup)

@nodeloc_cc · X

🌈 7月，你好，MODELOC上线算力池。 MODELOC自上线以来，已检测2000余次，覆盖600+中转站，为众多AI用户提供的使用参考。 MODELOC近期进行了改版，上线了算力池及市场。 加入算力池 查看帖子： 用 MODELOC 便宜地调各家大模型：一次讲清它的价格体系

@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

EZQuiz — AI 智能实时测验，让你快速创建、分享并与观众通过实时互动测验进行互动

@AbdullahYusufY · X

Here is ours We are developing autonomous QA agents feel free to check it out.

u/tejassp03 · Reddit

building in public: a tool to practice real work instead of courses saw so many people finishing courses and collecting certificates like they're collecting pokemon cards. So we built something that closes the gap between "i finished the course" and "i can actually do the work" it's tasklearn.app , you get real industry tasks, you attempt them, you see how far you actually get. no videos, no tutorials , just the task itself and ai feedback on what you did. learning th

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.

@__singhritwik · X

@_itisthedude · X

Building FounderMate, helps builders to find pain points from Reddit and Hacker News

Square Face Generator — 生成方脸头像