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.

[Cursor] Implement automatic code backup before accepting AI changes

Users are manually creating backup scripts for critical code before accepting changes from AI coding assistants like Cursor, due to concerns about potential data loss or irreversible errors. The AI coding assistant should offer an integrated feature to automatically create backups or snapshots of code before applying AI-generated modifications.

Original Source

@Eddie Forson | 42 pts

Imagine your AI coding assistant wiped out 4 months of work... 🫠 This Reddit post highlights some of the dangers around "vibe coding". It's fun and can work... until your AI hallucinates and you can't correct course. It seems one of the issues here is that the author of this post doesn't know about version control. It could also be that the codebase has grown so large that it doesn't fit into Claude's context window anymore. Anyway, my point on this sunny Sunday is this: vibe coding can only take you so far; at some point someone needs to get their hands "dirty" and get into the bowels of the code to fix mundane and sometimes arcane bugs. LLMs empower more builders with no coding experience to get started with the first mile. And that is great: more power to people. But ultimately they need to learn some coding (or hire a developer) to help them reach the last mile. Would love to read from people who disagree with me on this.

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