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.

[Agent Governance Toolkit] Create interactive demo for multi-agent collaboration with trust verifica

Create an interactive demo (e.g., using Streamlit or Gradio) to showcase multi-agent collaboration on a task, demonstrating real-time identity verification and policy enforcement via a trust mesh.

Original Source

@@imran-siddique | 0 pts | 4d ago

## Overview Build an interactive demo (Streamlit or Gradio) showing 3+ agents collaborating on a task while the trust mesh verifies identity and enforces policies in real-time. ## Scenario Ideas - **Code Review Pipeline**: Reviewer agent, Security scanner agent, Approver agent - **Data Pipeline**: Collector agent, Transformer agent, Validator agent - **Customer Support**: Triage agent, Specialist agent, Escalation agent ## What to Show - Agent identity creation and DID assignment - Trust scoring between agents - Policy evaluation (allow/deny/require-approval) - Real-time audit log visualization ## Deliverable - Streamlit/Gradio app in `demo/` directory - README with setup instructions and screenshots ## Skills Needed - Python, Streamlit or Gradio - No deep framework knowledge — the demo wraps existing APIs

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