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.

[AI Voice Agents] Email triage and prioritization with AI

I would like an AI tool that can prioritize and archive emails automatically, giving me visibility into important tasks while reducing the clutter in my inbox. This would help me manage demanding customer communications more effectively.

Original Source

@u/Marten213 | 7 pts | 3/7/2026

I'm a CS-ish person working mostly in my inbox, and I'm getting crushed by long, emotional emails from customers plus random attachments (word docs, decks, etc.) Right now my workflow looks like this: \- forward the worst emails and attachments to a separate address \- an AI helper turns them into a draft reply and cleans up the attachment (grammar, formatting, structure) \- I quickly review / edit and send from my work email It helped me get through 20-30 "ugh" emaiks per day without burning out, but I'm sure others have better systems How do you handle a stacked inbox? Also curious if anyone else is using an AI based workflow like this and what's working / not working for you

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