@XaminixAI · X

AI Powered Answer Evaluation for CA/CS/CMA

Attractiveness Scale — 颜值打分网站（基于 AI）

Proof of Awesome — AI 辅助的学术同行评审的共识机制，将你的真实成就永久记录在区块链上，用有意义的人类成就取代传统挖矿 - [更多介绍](https://proof-of-awesome.app/call-for-achievement)

@M365Clarity · X

@MrPenetratorTP · X

MrPenetrator helps businesses monitor their website’s trust, security and performance before problems affect their visitors.

@matthew_meadows · X

Correlation Studio - Discovery Mining • Causation Analysis A powerful new SaaS statistics application that brings the insights of correlation data science to everyone. Data science without the code.

@RelaXstartcom · X

Building a product that solves a real problem is step one. Step two is ensuring your early operational setup is actually legible to VCs. If you want to stress-test your setup and check your investor readiness, try this quick 3-minute diagnostic:

@TunaSignalAI · X

Any day traders / swing traders check out Its live since 2024 build with AI and using AI models and Machine learning to predict small cap pump stocks!

@GorodkovVi85373 · X

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

fristovic · HN

She watched me look at model rankings and asked what do the numbers mean... I literally had no good way of explaining it to her so I just came up with something that is approximately in the same ballpark as some of the benchmarks out there lol

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.

rot256