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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.

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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.

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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.

[Google Search Console] Enhance filtering options

Users are frustrated with the limited filtering capabilities in Google Search Console. Adding more robust filtering options, such as layered conditions and improved REGEX functionality, would greatly enhance user experience and data analysis.

Original Source

@u/zumeirah | 1 pts | 3/14/2026

Here are the biggest complaints: 1. Shit filtering - even with REGEX, the filtering on search console data is rubbish 2. 1000 row limits - both on looking at data and exporting 3. Lack of being able to layer conflicting filter conditions i.e. contains, not contains 4. 16 month timeframe limitations 5. Anonymised data / bloom filtering 6. 1000 row limits on non indexed reasons 7. No AI overviews data in search appearance 8. No separate data for AI mode 9. Delays with search console processing data 10. Lack of real innovative features - poor implementation of annotations and AI configurator 11. No HTTP status reporting 12. Slow URL inspection There's lots more. What are your pet issues with Google Search Console?

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