@Asym_Alwali · X

@indrajit_tweets · X

Most AI learning tools explain concepts for you through summaries, notes, quizzes, and flashcards. But recognising an answer is not the same as understanding it. That’s why I built ReExplain ( for the @OpenAI Build Week Hackathon. ReExplain flips the roles - the AI becomes the curious learner, and you become the teacher. You explain the material in your own words, while the AI listens, identifies gaps, and asks follow-up questions that challenge you to think deeper. Powered by GPT-5.6 Luna and built with Codex, ReExplain is now live on Product Hunt! If the idea resonates with you, I’d really appreciate your upvote and support 😄 🔗 Product Hunt Launch Link: Watch the demo, try it, and share your feedback! #ProductHunt #OpenAI #BuildWeek #AI #EdTech #Hackathon

@ShashankBhutiy4 · X

Duolingo for Soft Skills and career growth

@LukeyPunnett · X

Take a look at would love to hear your feedback - launched today 💪🙏

@rabotapiclinic · X

is a census of human curiosity — a permanent time capsule of the questions people carry, kept for every generation to find. No answers. No debate. No algorithm. Built with Claude Code. @ClaudeDevs @bcherny @claude_code .

@nav_ux · X

Get your whole team's AI on the same page.

@lodha13 · X

Checkout below apps Hisabarabar (Play Store)

@anandkumar_dev · X

@herogaming7358 · X

🚀 Finally shipped my first SaaS project! Introducing ExamPrepAI 📚 Turn your own PDF or image notes into: ✅ Important Questions ✅ Short Answers ✅ Revision Notes No fake promises. Just a smarter way to revise. 🌐 🎥 Tutorial:

@checkmurmur · X

u/Puzzleheaded-Log-27 · Reddit

Building a multi-model AI deliberation tool taught me something about trust LLM Counsel isn't another wrapper around one model - it sends your question to a panel of frontier LLMs, has them peer-review each other anonymously, and an impartial "chairman" model returns one synthesized answer. Free to start, pay-as-you-go after, credits don't expire. What I've learned so far: people trust a synthesized answer a lot more once they can see that the models actually disagreed and how that disagree

@tschnelli · X