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 code review tool] Balance AI and human review in PR workflows

A user discusses the challenges of using AI tools for code review and seeks advice on balancing AI and human reviews. They are interested in tools that can handle repetitive checks while allowing humans to focus on logic and design.

Original Source

@u/Ok-Geologist-1497 | 4 pts | 2/20/2026

Hey everyone, we’ve been using an AI code review tool for a cpuple of months now. It works fine, but we’ve been running into some issues like, noisy comments, missing context and suggestions that are technically correct but miss the bigger picture. I’ve read a lot of opinions saying AI shouldn’t be used for reviews at all. I get the concern. But as a startup, it does help with catching basic issues early. We’re not looking for something that writes code. We don't want to replace human review, we just want AI to handle the repetitive or obvious checks while we focus on logic, design decisions and overall direction. How are you guys balancing AI and human reviews in your PR workflow? Are there any tools built around that kind of balance? Your help would be appreciated, thanks in advance!!

Discussion

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