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.

[Warp] Improve Agent Context Retention and Effectiveness

User reports that Warp's agent "totally forgets context" and is ineffective for front-end development work, leading to frustration and a need for better context management and overall agent effectiveness.

Original Source

@@jeskers | 2 pts

Can this replace Cline for (mostly) front-end dev work? I spent about 4 hours trying to implement something with Warp that I eventually had to totally trash and complete in Cline in 20 minutes. Totally forgets context, like 100% of it, says it did things that it didn't. I'm hoping that it was user error and by digging deeper into some of these features it can compete, but just the lone agent today was way more frustrating and ineffective than using Cline.

Discussion

Loading comments...