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.

[NoCode AI Tools] Create a more user-friendly AI agent setup process

A user expresses frustration with the time it takes to set up an AI agent, suggesting that the process should be streamlined to be faster and more intuitive for users.

Original Source

@u/Cnye36 | 0 pts | 3/12/2026

I've been building AI automation tools for a while and kept getting annoyed at how long it takes to actually get an agent working. So I tried an experiment while building my own no-code agent builder: How fast could I go from nothing → working AI agent with tools? My result: • \~25–30 seconds to create the agent • \~95 seconds total to be chatting with it with tools connected What happens during that time: • Define the agent role • Assign tools (search, scraping, tables, etc) • Add instructions • Test immediately One thing I focused on was removing configuration friction. Instead of digging through settings, the builder helps assemble the agent while you describe what you want. Some quick things I built during testing: • Lead collection agent • Research assistant • Outreach prep agent • Content idea generator I'm trying to sanity check something with the nocode community: **At what point does AI agent setup start feeling "fast enough" to actually use in real workflows?** Is 1–2 minutes good enough or would you expect faster? Curious what others building no-code workflows think. Full disclosure: I'm the founder building this. Not selling anything here, just looking for feedback from no-code builders.

Discussion

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