Hacker News with categories and popularity
Did you want to know topics of the news or popularity of posts? "Hacker News Hack" helps you to find news based on some categories and importance or popularity. It tagged news with 9 categories with a natural language processing technology and supervised learning for categorizing news. It also calculates a speed of number of comments in each posts as popularity based on term, that is 1 hour, 1 day, 1 week, 1 month, or 1 year.
Hacker News with categories and popularity launched on February 6, 2014 with 149 votes, #32 of 1,100 launches that month and more than 95% of that year's launches.
In plain words
Hacker News with categories and popularity automatically organizes Hacker News posts into nine categories using natural language processing and machine learning. It helps users discover content by topic or by popularity metrics calculated from comment velocity across different timeframes—from one hour to one year. The tool is designed for anyone wanting to browse Hacker News beyond its default chronological sorting to find trending discussions within specific subjects.
written from the facts on this page · September 2026
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Hi everyone, we developed a tool that can easily tell you the overall sentiment of a message based on a word. For now it’s hacker news only but we think this thing has potential. Whether you’re a startup, solopreneur or product manager, you can track trends with it. We are also planning to add predictive tools and real time analysis. Operationally this tool is a lot cheaper than Sprout Social or other similar solutions on the market. No sign-up required. Just type and see results. I'd love your feedback on the tool's usefulness and any ideas for improvement.
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