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.

[Slack] Improve integration with project management tools

Users are struggling to keep Jira in sync with discussions happening in Slack, leading to gaps in project tracking. A better integration could help ensure that decisions made in Slack are reflected in Jira reliably.

Original Source

@u/GTFrankieFrazer | 4 pts | 3/13/2026

Talking to PMs before building something and trying to understand how common this is. Decisions get made fast in Slack because that's where everyone is. But what actually happens to that context afterwards? Does it make it into Jira reliably, or is there always some gap? How does your team handle it in practice?

Discussion

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