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.

[Liquid Glass Project] Optimize performance for Liquid Glass effects

User is seeking suggestions on how to optimize performance for their Liquid Glass project, especially on lower-end hardware, indicating a need for improved performance solutions.

Original Source

@u/WinsAviation | 7 pts | 3/11/2026

**Repo:** [https://github.com/winaviation/liquid-web](https://github.com/winaviation/liquid-web) So I have been trying to make the Liquid Glass effects in the [kube.io LG blog](https://kube.io/blog/liquid-glass-css-svg/) usable with JS modules. The thing is, the performance is absolutely cooked on low-end or even med-end hardware if you use big sized Liquid Glass elements. Would love some suggestions on how to make this smoother for the average user, on my GTX 1050 Ti system, my personal site runs at like 20-30 FPS...

Discussion

Loading comments...