AIHOT is a Docker-ready, self-hosted framework that runs on Node.js and PostgreSQL to aggregate, filter, and cluster industry news. It takes inputs from RSS, web pages, and APIs, runs them through an LLM to score relevance and deduplicate stories, and generates daily briefings and event timelines. The repository includes all core source code, the complete prompt library, and built-in support for multiple upstream providers.
It is worth setting up if you want to replace manual curation with an automated pipeline tailored to a specific domain, provided you have a compatible LLM API key and are comfortable editing prompts. However, the system requires significant tuning of its selection thresholds and source lists to produce clean output for non-AI fields, and the documentation is currently only in Chinese. It is not a turn-key consumer product, but rather a snapshot of a working production codebase meant for developers willing to maintain it.
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