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.

Provide integrated platform for AI prototype development to enterprise deployment

Businesses need a platform that supports the entire lifecycle of AI applications, from initial 'vibe coding' or prototyping to robust deployment, maintenance, and management across an organization, including data pipelines and automations.

Original Source

@Ville Houttu | 48 pts

Y Combinator just told what's next. Most SaaS companies won't like the answer. Their Summer 2026 Request for Startups has 15 categories. Six are software and services. Every single one points in the same direction: rebuild around AI outcomes. Not AI features. Not AI wrappers. The whole thing. The category they call "AI-Native Service Companies" is the one that changes everything for vertical SaaS. Not accounting software. Accounting done. Not compliance tooling. Compliance handled. Not project management features. Projects delivered. The per-seat license model made sense when humans needed tools. It breaks when the tool delivers better outcomes than the human did. I've spent 25 years building and scaling software companies. Enterprise buyers are asking right now: Why am I paying a license fee for a vertical SaaS that solves 60% of my problem? They're right to ask. Worth defining before the next SaaS renewal: - What outcome are you actually buying? - Does the tool cover the full problem? - Could a purpose-built solution get there faster? 👉 If you want a Fast Pass to figuring out what this means for your business, reach out.

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