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.

Create a unified data quality tool

Users are expressing a need for a specialized data quality tool that combines features like data testing, observability, and governance, as many teams currently rely on in-house solutions or native features.

Original Source

@u/arimbr | 111 pts | 2/27/2026

I mapped 31 specialized data quality tools across features. I included data testing, data observability, shift-left data quality, and unified data trust tools with data governance features. I created a list I intend to keep up to date and added my opinion on what each tool does best: [https://toolsfordata.com/lists/data-quality-tools/](https://toolsfordata.com/lists/data-quality-tools/) I feel most data teams today don’t buy a specialized data quality tool. Most teams I chatted with said they tried several on the list, but no tool stuck. They have other priorities, build in-house or use native features from their data warehouse (SQL queries) or data platform (dbt tests). Why?

Discussion

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