@gaurangbuilds · X

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.

@callable_com_ai · X

create your digital twin with your knowledge base for others to call (and make money?)

u/korro_ai · Reddit

I built Korroresearch: an AI that writes academic papers, then checks every single claim against 8 verification engines Most AI writing tools just generate text and call it done. Korroresearch does the opposite. Generation is step one. Verification is the real product. How it works: Describe your idea. It writes the full academic paper : research paper, grant proposal, white paper, pitch deck, conference talk, magazine article. English or French. Then the real part starts. 8 engine

@dmitrij90946 · X

@andxh2 · X

took me a while, mainly self doubt but I finally get to quote this, built an uptime monitor and a collaborative writing app with FastAPI best part for me was the VPS setup and deployment process. yeah and vibe coding the frontend.

Dgeloe4-yb · GitHub

market-pilot Evidence-grounded market research prototype with traceable AI workflows.

@Hustleworld_24 · X

A few weeks ago, I had no idea what I was doing with Claude Code. Today, I shipped my first project built with it. 🚀 Founder Evolution AI 👇 Would love your honest feedback on my MVP #Buildinpublic #Saas #Claudecode #Vibecode #Founder #indiehacker

samcymbaluk · HN

Axiom toolkit – Make your ideas precise enough to be proven wrong

@ringfireapp · X

u/person-person12 · Reddit

The honest reality: Building more SaaS features can do more harm than good Nine months ago, my SaaS was called WealthLearn . At the time we had built Market Research, Backtesting, AI Tools, TradingView Indicators, Portfolio Analysis, Broker Connections, Automation, Education, and even a separate Futures Application for MacOS/Windows. The problem was that every time I explained the company, I had to list all of those things. Our team understood how everything connected b

malik_dixon1 · Product Hunt

TraceLogicAI: AI Architecture Evaluation Compare AI architectures with evidence, not guesswork