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.

[LinkedIn] Add feature to donate or nominate users

A user suggests adding a feature to LinkedIn that would allow users to donate to or nominate other users to share their thoughts and comments, implying a mechanism for recognizing and potentially supporting valuable contributors.

Original Source

@Matteo Depascale | 23 pts

I want to be honest for a second about low-code platforms... For 2 years, I built backend services for a low-code platform, and here's what most people don't realize... Low-code platforms use visual interfaces and drag-and-drop tools to build software with minimal coding While low-code is hot (especially with AI), here's why complex apps still need traditional development... 🔹 Customization Limits → Pre-built components only → Limited business logic flexibility → Restricted system architecture 🔹 Vendor Lock-in Risk → Confined to platform's ecosystem → Limited migration options → Dependency on vendor's roadmap 🔹 Integration Barriers → Only common APIs supported → Limited legacy system integration → Basic middleware capabilities 🔹 Security Constraints → Standard security patterns only → Basic RBAC implementations → Limited compliance controls 🔹 Performance Control → No low-level optimizations → Limited resource management → Fixed scaling patterns 🔹 Innovation Freedom → Basic AI/ML capabilities → Limited custom algorithms → Restricted to platform features 𝗧𝗹;𝗱𝗿: Low-code is great for simple apps, but complex projects need traditional development's power What's your experience with low-code platforms? 🤔 #software #development #lowcode #programming #architecture #coding #softwareengineering #devops

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