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60 projects
Visual testing for you and your agents. An AI judge tells an intended change from a real regression, so you review decisions, not diffs.
@igorluchenkov · X
Hey Yuhao! Been running a lot of agents while building UI and built a tool for visual testing that integrates nicely with agents and gives your agent a way to make sure it didn't introduce any UI regressions:
Groups Gmail clutter into batches so you can clear routine emails quickly.
shaked_i · Product Hunt
PureBox.ai Review-first AI cleanup for your real Gmail inbox.
AI-powered test that rates your attractiveness and provides personalized beauty insights.
Free AI Beauty Test — AI 颜值测试，提供给你个性化的建议
Free mock tests and previous year papers for RRB railway exam prep.
@Sureshsankhla__ · X
Check out what I just built with Lovable!
Practice NEET Biology with AI-powered mock tests and spaced repetition flashcards.
@devjedi404 · X
I'm currently working on PrepPilot an AI-powered platform for NEET preparation. Added around 8k questions in total. The entire process was tiring but learnt a lot. For now you can access PrepPilot here :
Automatically hide negative and sensational posts on Reddit, YouTube, X, and LinkedIn.
@zelvaio · X
Upload a peptide Certificate of Analysis to verify authenticity and flag suspicious indicators.
@DanielGPT2022 · X
I made an app for peptides users, that will hopefully adress their trust issues:
Know your app broke before your users do. Plain-English tests run in a real browser on a schedule, with video and logs on failure. Free 3-day trial.
@vgavrilovikj · X
Create temporary email addresses instantly without signup to protect your inbox from spam.
@ItoMosquit92562 · X
Just launched KilatMail ⚡ A free temporary email service to protect your inbox from spam. ✅ Instant email ✅ No sign-up ✅ Real-time inbox ✅ Mobile friendly 🌐 Feedback and reposts are appreciated! 🙌 #BuildInPublic #IndieHackers #TempMail #WebDev
Benchmark AI models by having them animate a 3D banana plant's full lifecycle.
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.
