Chat with 19 years of HN
Hey HN We loaded a BigQuery dataset of all of Hacker News, every comment, story and user, into camelAI. You can ask questions like: • “When does dang tend to comment during the day?” • “Which domains have gained the most submissions since 2015, year-over-year?” • “How has average comment length changed each January since 2007?” • “Top five users who link to arXiv papers the most.” It's behind a log-in to prevent abuse but free to use for 10 messages. No payment info required. We use OpenAI o3 or Claude sonnet 3.7 for the agent which can be really expensive. Would love feedback especially…
In plain words
Chat with 19 years of HN allows users to query a complete dataset of Hacker News comments, stories, and users through an AI agent. Users can ask analytical questions about posting patterns, domain trends, content changes over time, and user behavior. The tool is free for the first 10 messages without requiring payment information, and uses advanced language models to generate answers. It's designed for researchers and HN community members interested in analyzing discussion patterns and trends on the platform.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hey HN We loaded a BigQuery dataset of all of Hacker News, every comment, story and user, into camelAI. You can ask questions like: • “When does dang tend to comment during the day?” • “Which domains have gained the most submissions since 2015, year-over-year?” • “How has average comment length changed each January since 2007?” • “Top five users who link to arXiv papers the most.” It's behind a log-in to prevent abuse but free to use for 10 messages. No payment info required. We use OpenAI o3 or Claude sonnet 3.7 for the agent which can be really expensive. Would love feedback especially around graph/chart quality and o3 vs sonnet.
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