alexanderholy2_pixel · Product Hunt

Learn Anything — Master any topic AI builds your course. Real sources teach it.

lcmchris · HN

Sous.bio – your sous chef in the lab

@johncvillanueva · X

Last week, I received an email from @claudeai offering gift coupons allowing recipients to use Claude Code Pro (w/ Fable) for one week, free. I gave one to my 19-year old daughter, who has no coding background. This is what she built:

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.

@d1nz_3 · X

visibility splits in two now n most lists cover one half. u can be findable on google n still never get named when the same buyer asks chatgpt. I run my own buyer questions past the models weekly n log who gets named - wired it into coz I kept skipping it

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

@fedeponte1 · X

my first saas. i think i built something people actually want and completely failed at the business side. would genuinely love help. openpaper ( writes full, cited research papers from a prompt. research, outline, writing, real citations, export. the honest numbers: - ~2,300 signups - ~1,500 generated a full paper. people actually use it. - ~5 have ever paid. ~$45/mo. activation is great, revenue is basically zero. i've been staring at this for weeks. the paywall is on export (pay ~$12 to download the pdf). but the full cited paper is right there on screen, free, you can read it and copy-paste it. so i'm charging for the gift wrap after handing over the gift. almost nobody even reaches checkout. 76% generate exactly one paper and leave. one-and-done, so subscriptions make no sense. the audience is mostly students and researchers on personal gmail, all over the world, almost none on university or company emails. traffic is x and github. so i genuinely can't tell

@build_it_lou · X

Anythings - the to do list that keeps itself in order.

@HamzaC69666 · X

michelleGoGo · V2EX

一个中学生实验仿真平台， harnessLab.onrender.com,有什么缺点,顺便求个职 我将去年的 vibe coding 的项目中的 AI 模块用 deep agents 重构了，增加了支持 多租户隔离、会话历史持久化 功能。 希望大家能帮忙试用体验，并提出宝贵意见。每天有 20 credits 的免费额度。 网址： https://harnesslab.onrender.com/ ps. 最近结束个人独立开发的远程模式，打算找工作，远程或线下，主要与人多沟通。如果您有工作机会，也欢迎您链接。不胜感激。方向：AI 全栈 或 agent 应用开发 github: https://github.com/ladycui

@0mislice · X

@pixelnestlabsAD · X