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.

[Skillaeo] Add structured data recommendations

The user is seeking feedback on adding structured data recommendations to improve AI discoverability for websites, which could enhance the tool's effectiveness.

Original Source

@u/Tim_1122 | 1 pts | 3/1/2026

A few months ago I realized something weird — my site ranked well on Google but ChatGPT had no idea it existed. When I asked ChatGPT about topics I literally wrote content for, it never mentioned my site. So I started researching how AI engines discover and cite websites. Turns out it's completely different from traditional SEO. Google cares about backlinks and keywords. AI engines care about structured data, machine-readable files (llms.txt, agent.json), and whether your content directly answers questions. I couldn't find any tool that checked for this, so I built one. Skillaeo runs a full AEO (AI Engine Optimization) audit on any website: \- AI visibility score (0-100) \- Checks for llms.txt, agent.json, structured data \- Specific recommendations to improve AI discoverability \- Works for any website, takes about 60 seconds Free to use, no signup needed — link in comments. Would love honest feedback — especially on what's confusing or what you'd want to see added. Happy to answer questions about how AI search engines work.

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