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), and GitHub. You can also trigger on-demand scraping via the API or web interface to get the freshest data for any topic.

Add AI tools for accessibility compliance

We need AI tools that bake accessibility in by default, not as an afterthought, to ensure that vibe-coded apps are compliant with WCAG standards and accessible to all users.

Original Source

@@BlueBeaconNYC | 3 pts | 3/10/2026

Hot take: vibe coding is creating the biggest accessibility crisis in web history. People are shipping full apps in 15 minutes with Bolt, Cursor, Replit Agent. Beautiful UIs. Zero WCAG compliance. No skip links. No focus management. No screen reader testing. Color contrast that fails AA. The vibe is great. The output is excluding millions of users. We need AI tools that bake accessibility in by default, not as an afterthought. I'm building one. Are you testing your vibe-coded apps for accessibility?

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