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.

Simplify configuration and maintenance of observability dashboards and data pipelines

Observability tools should simplify the time and resource-intensive tasks of configuring dashboards, setting up data pipelines, contextualizing data for insights, and maintaining the entire setup. The current complexity often leads to teams failing to build helpful observability solutions.

Original Source

@Nikolay Sivko | 45 pts

I don’t get why so many people think observability just means “having a database for telemetry.” Yesterday on Reddit, someone asked for an observability tool to help find why their containers were restarting and losing DB connections. They wanted something that could help with root cause analysis. The top answer? “Start with Prometheus and Grafana. If that doesn’t help, try Loki and Tempo.” Now, I love Prometheus and Grafana — they’re great at storing and visualizing metrics. But the thing is: when you install them, they don’t magically show you anything. You need to install exporters, configure them, set up dashboards, and hope they cover the data you actually need. Why does this part always get glossed over? To me, that’s the real work. And without it, you won’t get far in understanding or fixing anything. Curious — am I the only one who feels this way?

Discussion

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