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.

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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.

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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.

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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.

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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.

[JetBrains AI Assistant] Provide options for self-hosted or private AI models

User expresses concern that internal code cannot be uploaded to random servers for AI processing and suggests JetBrains offer options for using self-hosted or private AI models, especially for companies with data privacy requirements.

Original Source

@@Panossa | 0 pts

I think it's a bit sad that you can use neither Chat nor Edit mode with an AI provided by Jetbrains themselves, only globally available models. This is suboptimal for companies like mine who don't allow uploading internal code to some random server (which is understandable) but lack the know-how of hosting their own models.

Discussion

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