Augment LLMs with real-world public opinion by searching 9 diverse platforms using a semantic routing system.
Vox-Pop enhances Large Language Models by providing access to genuine public sentiment across nine diverse online platforms, including HackerNews, Reddit, 4chan, Stack Exchange, and more. Unlike traditional LLM sources that rely on academic texts, Vox-Pop offers a nuanced view of what people *actually* think, addressing questions with real-world experiences and controversies. It features a sophisticated four-tier semantic routing system that intelligently directs conversational queries to the most relevant communities, either locally without API keys or via optional LLM-powered query rewriting for smarter results. The tool provides a CLI, a Python library, and an MCP server for seamless integration with AI agents like Claude Code, allowing developers and users to quickly gather diverse perspectives on any topic.
