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.

[AI-Native IDE] AI-assisted documentation generation and maintenance

AI should assist in generating and maintaining documentation, specifically to aid in onboarding new team members and to help developers recall details about code they worked on previously.

Original Source

@John Graham-Cumming | 150 pts

In all the hype about AI-assisted programming people are missing the importance of iteration speed. Many years ago I started a company called Electric Cloud whose goal was to remove the bottleneck of the software compilation process. Sounds technical and weird, right? Sure, but if you remove a bottleneck to getting to running code you get to use the software sooner and get feedback and change it faster. It's really hard to get a product "right" the first time. In fact, it's impossible because "right" changes the moment you or your customer sees the product. As soon as you build something you understand extra things you can build. Improvements. Enhancements. New functionality. It's tempting to think you can specify everything up front but many years ago companies and developers drowned using the waterfall method to try to do that (and predict a perfect ship date). Doesn't work. We've spent decades proving that. What does work is fast iteration. And AI-assisted programming is really fast. The faster you can iterate and get feedback into the product, the happier users will be. The future is fast feedback. Let's go.

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