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.

Develop edge vector database solutions

There is a need for purpose-built edge vector database solutions that can operate without cloud dependency, particularly for industries like healthcare, autonomous vehicles, and military systems that require on-premises data handling.

Original Source

@u/AvailablePeak8360 | 7 pts | 3/12/2026

The entire market is optimized for cloud. Every major vendor, every benchmark, every comparison post. Cloud native, managed, usage-based. But there's a massive category of workloads that cloud databases fundamentally cannot serve. Healthcare systems that can't move patient data off-premises. Autonomous vehicles that need sub-10ms decisions without a network connection. Manufacturing facilities on factory floors with intermittent connectivity. Military systems in air-gapped environments. The edge computing market was worth $168B in 2025. IoT devices are projected to hit 39 billion by 2030. The demand is real. But in 2026, purpose-built edge vector database solutions are almost nowhere to be found. ObjectBox is one of the very few exceptions. Everyone else is still building for the cloud and leaving this entire category unaddressed. Is anyone else building in this space or running into this problem?

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