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A tool to detect if a Hacker News story is likely to be AI-generated. Powered by Pangram AI Detection API.
www.salahadawi.com (powered by turbo0)
www.salahadawi.com (powered by turbo0)
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Hacker News AI Detector is a web tool that scores every story on Hacker News's front page for AI-written content, using the Pangram AI Detection API to label posts as Human, Mixed, or AI-Generated. The page mirrors the live HN top 30, showing each story's AI probability percentage and enabling users to sort, filter, and compare rankings.
It's a real-time dashboard that analyzes the text of each Hacker News front-page story using Pangram v3.3, an AI detection model with 99.98% stated accuracy. It takes the story URLs from HN, feeds the article text to Pangram, and outputs a probability score (0–100% AI) plus a label (Human, Mixed, AI, or Check Failed if analysis fails). The tool runs entirely in the browser (no installation) and is maintained by salahadawi.com, as shown by the site's branding.
The site crawls Hacker News every few minutes to fetch the current top 30 stories. For each story, it retrieves the article text (extracted from the linked page), sends it to Pangram's AI detection API, and stores the score. Results are displayed in a ranked list with color-coded labels and a percentage. Users can interact with the dashboard to filter, sort, or compare stories without any account or payment.
Pangram v3.3 claims 99.98% accuracy, though the page notes some stories fail the check (e.g., if the article text cannot be retrieved). The tool does not specify false positive/negative rates.
It means Pangram could not analyze the story, often because the linked page was inaccessible, behind a paywall, or didn't contain extractable text. Those stories are marked unscored and excluded from the AI percentage aggregates.
Yes, the web interface is free to use — no sign-up or payment required. It appears to be a personal project maintained by salahadawi.com.
Yes, click "Browse every analyzed article →" to see a paginated archive of all 6,586 stories scored historically, each with its AI score and label.
