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.

[Stream Buddy] Implement AI-Driven Content Repurposing & Multi-Format Export

Further automate content creation by using AI to repurpose live stream segments into various formats (e.g., blog posts, audio podcasts, highlight reels with different aspect ratios) for wider distribution. The AI should analyze VODs and generated clips, generate text summaries from transcriptions, suggest audio-only segments for podcast export, and allow users to export content in various formats.

Original Source

@@kluth | 0 pts | 12/1/2025

## Description\nFurther automate content creation by using AI to repurpose live stream segments into various formats (e.g., blog posts, audio podcasts, highlight reels with different aspect ratios) for wider distribution.\n\n## Acceptance Criteria:\n- AI analyzes VODs (Issue 9.5) and generated clips (Issue 7.2).\n- AI can generate text summaries (for blog posts) from transcriptions (Issue 7.5).\n- AI can suggest audio-only segments for podcast export.\n- Users can export content in various formats (e.g., MP3 for audio, different video aspect ratios/resolutions).\n- UI for managing repurposing tasks and formats.\n\n## Technical Details\n- **Backend ():**\n - **AI Models:** Integrate AI models for summarization, content extraction, and format recommendation.\n - **Media Processing:** (WASM/server-side) for audio extraction, video reformatting.\n- **Frontend ():**\n - UI for content repurposing workflow.\n - Preview of generated content.\n\n## Best Practices:\n- High quality and cohe

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