HN Stats is a browser-based analytics tool that counts and charts AI-related Hacker News story headlines. It provides live daily counters, historical time ranges, post-type filters, matching methods, and headline statistics for readers and researchers.
In the Analytics (BI, web, product) space, HN Stats takes a focused approach. It focuses on measuring and understanding how frequently AI appears in Hacker News headlines over time. It is built as a consumer product for Hacker News readers, researchers, and technology analysts. HN Stats costs nothing to use. It ships for the web.
HN Stats builds and maintains HN Stats, and it first shipped in 2014. The project is developed in the open on GitHub with 13.3k stars. Among its 10 catalogued features are live headline counter, AI share percentage, and historical charts. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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