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.

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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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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.

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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.

[EarlySEO] Add AI citation tracking dashboard

An AI citation tracking dashboard that allows users to see how often their content is cited by AI models could enhance user engagement and retention.

Original Source

@u/MasterPop28 | 2 pts | 3/14/2026

When we launched [EarlySEO](http://aiseoblogging.com), I was convinced the AI writing engine would be the hardest thing to build. It wasn't. The hard part was building a true autopilot that handles keyword research, writes the content, builds backlinks, and publishes directly to your CMS without you touching a single thing. Eighteen months later we have 5,000+ active users, 2.4 million articles published, and an average traffic growth of 340% across user accounts. We've also tracked over 89,000 AI citations, meaning content published through EarlySEO has been referenced by ChatGPT, Perplexity, Gemini, and Claude. The feature nobody expected to care about was the AI Citation Tracking dashboard. Users check it obsessively. Seeing your content get cited by an LLM is a completely different kind of validation than a Google ranking, and it's become our strongest retention driver by far. The thing I'd tell anyone building in this space: distribution beats writing quality every single time. The automated backlink exchange and the 1-click publishing to 10 platforms is what separates us, not the prose. Happy to answer anything about what worked, what failed, and where we're going next.

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