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.

AI assistants should capture unfulfilled intents as feature requests

When an AI assistant cannot fulfill a user's request due to limitations, it should capture the user's intent as a feature request for later review by the development team, rather than apologizing or hallucinating. This allows the AI to actively build the product roadmap based on real usage.

Original Source

@Jason Resnick | 8 pts

Built something in 10 minutes that changed how I think about AI apps in production for my Claude Code Assistant, called Neos. Most AI assistants hit a limitation and do one of two things: → Apologize and give up → Hallucinate a solution Both are wrong and very frustrating. Instead, the AI captures the intent... exactly what was needed, with full context, so the gap can be filled later. When I ask for something that doesn't exist yet (like "show me my email stats"), it responds: "I can't pull stats yet, but I've captured this as a feature request so it can be added." Next morning routine? The pending intent shows up for review. The AI isn't just failing gracefully. It's actively building the roadmap based on real usage. That's how apps should work now.

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