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), and GitHub. You can also trigger on-demand scraping via the API or web interface to get the freshest data for any topic.

[Onlook] Add Grafana & Prometheus monitoring for self-hosted deployments

Implement Prometheus metrics collection and Grafana dashboards to provide real-time infrastructure monitoring (CPU, memory, API performance) and AI workload tracking (LLM latency, token usage) for self-hosted Onlook deployments, improving issue resolution and resource optimization.

Original Source

@@aditya162002 | 1 pts | 9/4/2025

#### we can add infrastructure monitoring to Onlook with Prometheus metrics collection and Grafana dashboards for self-hosted deployments. it can provide real-time system health monitoring (CPU, memory, API performance), AI workload tracking (LLM latency, token usage), and proactive alerting. Benefits: Better self-hosting experience, faster issue resolution, resource optimization, and enterprise-ready monitoring at zero cost using open-source tools. i would like to work on it if you find this idea good enough!

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