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.

[YouTube] Improve recommendation algorithm to avoid repetitive suggestions

The user notes that YouTube's algorithm repeatedly suggested the same video, which they ignored multiple times before finally watching it and finding it valuable. This indicates a potential issue with the recommendation system's ability to learn from user behavior (ignoring suggestions) or to present diverse, relevant content effectively.

Original Source

@@anilanil6325 | 3 pts

When I first started learning system design, I struggled to find a playlist that covered everything, and I was constantly disappointed by other videos. However, I noticed that YouTube's algorithm was suggesting this exact video every single time—I actually ignored it 20-30 times! Finally, I decided to check it out, and I realized I found a real gem. 😊

Discussion

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