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.

[VPN Client] Provide a built-in speed test feature

Users are asking for a built-in speed test feature to measure the performance of the VPN connection and choose the best server accordingly.

Original Source

@u/alexchantavy | 11 pts | 3/13/2026

Hey, I'm Alex, I maintain [Cartography](https://github.com/cartography-cncf/cartography), an open source infra graph tool that builds a graph of your cloud and finds attack paths. Wanted to share that Cartography now automatically discovers AI agents in container images. Once it's set up, it can answer questions like: - What agents are running in prod? - What identities do they run as? - What trust relationships stem from those identities? - How are they connected to the network? - What compute are they running on? - What tools do they call? Most teams are not inventorying their agents yet because the space is early, and there aren't many tools that do this today. Details are in the [blog post](https://cartography.dev/blog/aibom), and I'm happy to answer questions here. Feedback and contributions are very welcome. Full disclosure: I'm the co-founder of subimage.io, a commercial company built around Cartography. Cartography itself is owned by the Linux Foundation, which means that it will remain fully open source.

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