Hacker News AI Detector
Scores Hacker News top stories for AI-generated content using Pangram
Free - Free to use — public web dashboard with no signup required
About Hacker News AI Detector
Public web dashboard that analyzes Hacker News top stories for AI-generated content. Every top-30 story is scored with Pangram (v3.3) and shown with an AI % label and classification (Human / Mixed / AI / Failed). Includes sortable lists, leaderboards by domain and author, daily/monthly views, trend metrics (7/30-day averages), detector accuracy, and cumulative stats (e.g., 127 analyzed today, 10,188 all-time). Built and maintained by Salah Adawi as a simple monitoring tool for readers, journalists, and researchers.
Key Features
- Per-story AI probability scores for HN top 30 using Pangram
- Classifications: Human, Mixed, AI, Failed and AI % displayed
- Filters, sorting, and views: Front page, past 24h, monthly, leaderboards, domains, authors
- Trending metrics and detector accuracy (e.g., 7/30-day averages, daily change)
- Cumulative stats and historical analysis (daily and all-time counts)
Who is this for?
Hacker News readers, journalists, researchers, moderators, and developers tracking AI-generated news content
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FreeFree to use — public web dashboard with no signup required
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