Education3 days ago
ColabWize – Academic Integrity & Collaboration Platform
Audit citations and verify authorship to prove the authenticity of your academic work.
@clawncore · X
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Audit citations and verify authorship to prove the authenticity of your academic work.
@clawncore · X
AI scans competitors and market data to validate if a startup idea is worth building in 90 seconds.
@Ebrahim_Rio · X
Most founders skip validation and pray. I automated the "worth building?" check. AI scans competitors, Reddit, and market data → Cook or Kill in 90 seconds. Killed? It surfaces the pivot the data actually backs.
Upload handwritten exam answers to get instant AI grading and feedback.
Xaminix
AI Powered Answer Evaluation for CA/CS/CMA
Converts study PDFs into flashcards, quizzes, and audio podcasts with weak-area detection.
@indiesaasgrowth · X
I built a study app. . It's a study app for medicos , it turns pdf into flash cards , audio podcasts, quizzes and so on. It makes study easier. And also reminds them to study and analyses their weak points and then it trains us accordingly. It also shows their performance and progress over time .
Upload résumé and job URL to get match score, gaps analysis, and apply/skip guidance.
u/tejasghutukade · Reddit
I built Nxtrol — paste a job URL, get an honest apply/skip brief, then tailor your résumé Hey r/SideProject 👋 I just took Nxtrol out of private beta. The problem Job hunting felt like gambling. I’d open a JD, feel “maybe,” apply anyway, and only later realize it was a bad fit — or spend an hour rewriting my résumé for something I should’ve skipped. What it does 1. Paste a job URL 2. Get a structured fit brief (score, gaps, clear apply/skip) 3. If it’s worth it, tailor résumé + cov
AI-powered code review that runs code in microVMs to catch more bugs.
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