RequestHunt is a community-driven platform that collects and curates feature requests from X (Twitter), Reddit, and GitHub. We help product teams discover what features real users are asking for, making it easier to validate product ideas and prioritize feature development based on actual user demand.

How does RequestHunt collect feature requests?

RequestHunt uses AI-powered extraction to automatically collect feature requests from social media platforms including X, Reddit, and GitHub. The platform monitors discussions, issues, and posts to identify genuine user feature requests, extracting key information like the requested feature, product mentioned, and user sentiment.

Who uses RequestHunt?

RequestHunt is used by product managers, founders, developers, and product teams who want to discover what features real users are requesting. It's particularly valuable for startups looking to validate ideas, established companies prioritizing their roadmap, and developers building products that solve real user problems.

Is RequestHunt free to use?

Yes, browsing and searching feature requests on RequestHunt is completely free. We also offer API access for developers who want to integrate feature request data into their own applications. Check our pricing page for API plan details.

How often is RequestHunt data updated?

RequestHunt continuously collects feature requests from Reddit, X (Twitter), GitHub, YouTube, LinkedIn, and Amazon. You can also trigger on-demand scraping via the API or web interface to get the freshest data for any topic.

Add mature production-ready and security modules to vibe coding platforms

Following a security incident, there's a need for vibe coding platforms to include mature modules that cover the 'last mile' of making an application production-ready, specifically addressing data privacy and protection.

Original Source

@@Prashant_1722 | 1 pts | 6/24/2025

Cluely fiasco.. 🚨 IMPORTANT read. Ivy gained access to the full Supabase registry behind. Emails. Names. Password hashes. All of it. How did it happen? The team vibe coded without utilizing all the steps necessary to make it production ready. Learning Vibe coding with AI is immensely empowering. However, it's important to safeguard, test, validate an application before releasing it to production. Data privacy and protection is such a neglected aspect when it comes to application building. This incident is another reminder for vibe coding platforms to add mature modules that can cover the last mile making it production ready. PS: there is no alternative for education. AI doesn't replace the need to study and learn. we should be cheerleading the young generation and let them fly with AI superpowers but not push them on path away from education.

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