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.

Improve multi-tool agent logic for tool selection and result integration

When using multi-tool agents with tools like TavilySearch and YFinance, the agent often mixes up which tool to call. Additionally, the results from some tools frequently do not contribute to the final LLM answer, indicating a need for better integration and decision-making logic within the agent's tool-calling mechanism.

Original Source

@@Vishnu-jq4yj | 1 pts

I find in multi tool agents, they mix up the tools. For example, when i give tavilysearch and yfinance tools for generic info and finance metrics repectively, it mixes up calling the other . And most of the times, few tools' result never contributes to the final LLM answer..why?

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