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.

Address corporate security and privacy concerns for AI browsers accessing local files

Corporate gatekeepers have trepidation about AI browsers accessing local files due to security and privacy policies. Features are needed to build trust and provide controls to overcome these barriers for enterprise adoption.

Original Source

@Jimi Li | 15 pts

AI is integrated at the browser/app level, soon we will see it at OS level. Fast moves lately: * Perplexity → Comet (AI-first browser) * OpenAI → Atlas + desktop apps * Google → Gemini in Chrome + Gemini CLI * Anthropic → Claude Desktop Why this play? * Be where users work. Browser/desktop = zero friction. * Use real context. No more copy/paste—AI can “see” the page, tabs, files. * From chat to action. Research, compare tabs, fill forms, draft docs. * Memory = stickiness. Helpful continuity, with new privacy expectations. * Enterprise fit. Easier permissions, tighter workflows. If you build products: * Consider Agents your users (Look into A2A, MCP). * Design for in-flow use (side panel, hotkey, extension). * Ship actions, not answers (“Turn this page into a brief”). * Make privacy a feature (clear consent, visible controls). Bottom line: AI won’t wait for users to come to it—it’s showing up where the work happens. The winners remove context switching and turn intent into outcomes.

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