How much of Hacker News is about AI?
This website counts titles containing the standalone word "AI", case-sensitive and word-bounded. "OpenAI" doesn't count. "AI-powered" does. There's a toggle for a wider vocabulary: artificial intelligence spelled out, LLM, GPT, and model and vendor names. Some quick stats: - 14.4% of new HN titles this year, against 10.9% in 2025. On the wider vocabulary, 21.9% and 16.1%. - First month above 1% was Oct 2016. Above 5%, Feb 2023. Above 10%, May 2025. - Over the last five years the quietest month was Jan 2022 at 0.8%. The peak was Feb 2026 at 15.9%. - 13.6% on weekdays against 12.4% at…
In plain words
This website tracks the prevalence of AI-related content on Hacker News by counting headlines containing the word "AI" and related terms. It displays live statistics showing what percentage of new stories each day mention AI, with historical data revealing the topic's growth from under 1% in October 2016 to over 14% in recent years. The tool uses strict word matching to filter results, excluding terms like "OpenAI" while including phrases like "AI-powered," and offers an expanded vocabulary option for broader AI-related terminology.
written from the facts on this page · September 2026
From the sources
Live count of how many new Hacker News headlines mention AI today. Updates as stories are posted. Timer resets on each new AI headline.
Every new story submitted since midnight UTC. The clock resets each time one mentions AI. Algolia title match with prefix matching off, counted the same way for every point except today, which is counted from the titles themselves. Algolia matches tokens case-insensitively, so it tracks strict closely rather than exactly. Counts the standalone word “AI”. “OpenAI” does not count. “AI-powered”from hnstats.com
In the maker’s words, at launch
This website counts titles containing the standalone word "AI", case-sensitive and word-bounded. "OpenAI" doesn't count. "AI-powered" does. There's a toggle for a wider vocabulary: artificial intelligence spelled out, LLM, GPT, and model and vendor names. Some quick stats: - 14.4% of new HN titles this year, against 10.9% in 2025. On the wider vocabulary, 21.9% and 16.1%. - First month above 1% was Oct 2016. Above 5%, Feb 2023. Above 10%, May 2025. - Over the last five years the quietest month was Jan 2022 at 0.8%. The peak was Feb 2026 at 15.9%. - 13.6% on weekdays against 12.4% at weekends. - Show HN runs highest of any category at 19.8% this year, which makes this post part of the number. As of this post, today is at 15% for the standard filter and 19% for the extended.
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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