
Aripsy – AI Study Tool | Exam-Ready Notes, Flashcards & Quizzes
Create exam-ready notes and flashcards from study text and PDFs.
@studywitharipsy · X
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60 projects

Create exam-ready notes and flashcards from study text and PDFs.
@studywitharipsy · X

Versioned memory workspace for your ideas and code, readable by connected AI assistants.
@JohnTremendol · X
does this look vibe coded?

Observability platform for AI agent pipelines that detects failures and explains root causes.
@VaraadDurgaay · X
Solving the prb of observability in ai agents

Upload handwritten exam answers to get instant AI grading and feedback.
@XaminixAI · X
AI Powered Answer Evaluation for CA/CS/CMA

Practice algorithm interview problems with solutions and interactive visualizers.
@Galliard232634 · X
Come study with me on

Practice system design, DSA, and coding interviews with AI-powered mock interview scenarios.
@ShivanshAg50455 · X

Manage and automate AWS infrastructure deployment and configuration.
@MalkkiLea · X
Hi, I'm building

Browse and test OpenAPI endpoints, compare specs, and generate mock data in your browser.
@_codewithshahid · X

Describe self-correcting coding workflows in plain English and run them until tests pass.
forgeapp

110+ free developer tools including JSON formatter, JWT decoder, and regex tester that run entirely in your browser.
@abhilakshharora · X
Just launched DevTab on Product Hunt 🚀 110+ dev tools that run 100% in your browser. Zero server calls. No signup. Free forever. Would love your support 🙏 → #buildinpublic #DevTools

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 :

Use AI code review that runs code in microVMs to catch more bugs faster.
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db