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.

Improve flexibility for updating security checks in CI/CD tools

Users struggle with updating security checks in existing SaaS CI/CD tools, often requiring extensive rewriting of glue code or shell scripts. There's a need for a more flexible mechanism, possibly prompt-driven, to easily adapt security checks to changing requirements.

Original Source

@Abhishek Veeramalla | 1133 pts

I built a DevSecOps AI workflow for a client, and it works really well 🔥 Why did I build this? Developers are now writing a lot of code with AI. But AI generated code often has security issues. As DevOps engineers, it is our responsibility to make sure the code we ship is secure. Existing SAST tools like Snyk can find vulnerabilities and insecure patterns, but only to a certain level. What we need now is AI driven security analysis inside CI/CD. It should scan code, find issues, and report them clearly. Some tools already offer this, but they depend heavily on AI models and end up costing 2x or more. Advanced features like penetration testing cost even more. So I built a workflow that runs on every pull request. It performs security analysis and posts a detailed report as a comment. This reduces cost from 2x to 1x, since you only pay for API usage not for the tool. Also, adding new security checks is simple. You just update the prompt. If you are curious, I built this using SIMAI. It is easier to use than n8n and quick to get started. ‼️ Try it here: https://sim.ai/r/VL1Mx If you want to learn how to build this workflow, I shared a full video on my channel. Link in the comments. ---

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