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.

Provide affordable, scaled inventory management systems for small businesses

Small businesses, such as restaurant owners, cannot afford expensive enterprise inventory management solutions (e.g., $50,000) but would pay for a system that prevents issues like food waste (e.g., $500). There is a clear need for inventory management solutions that are scaled to their budget and specific problems, rather than being 'enterprise leftovers'.

Original Source

@@rich_off_ai | 1 pts | 18d ago

🧠 I ran the math on small business AI adoption. 57% now invest in AI tools. Up from 36% last year. But here is what the reports miss: most of these businesses cannot afford enterprise solutions. They patch together consumer apps and hope it works. Cameron targets this exact gap. The people who need automation most get priced out by software built for Fortune 500 budgets. A restaurant owner cannot pay $50,000 for inventory management. But they will pay $500 for a system that prevents food waste. Scale the solution to the problem. Not the other way around. The businesses that drive 64% of private sector employment deserve better than enterprise leftovers.

Discussion

Loading comments...