Alternatives
Products that do what Hacker News with categories and popularity does
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.
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2019 · toddwschneider.com
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2020 · eliot-jones.com
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2015 · blog.monkeylearn.com
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I realized that I'm more interested in the all-time top content on Hacker News than in whatever is popular right now. To better keep track of which posts I've already read, I built a small web app that displays all posts sorted by popularity and allows me to check them off or save them for later.
Oct 2025 · checkhn.ad-si.com
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2017 · paradite.github.io
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2020 · showcase.metamate.io
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2020 · hacker-news-analytics.christianfei.com
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2018 · hakaran.com
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Thesis: Sites that do well on hacker news will tend to be sites with high quality content. Tools: Hacker News Big Query, python, Google CSE Steps: 1. Using HN Big Query, get all unique domains with more than 3 stories with more than 50 points (query link [1]). Sort by percentage of such stories to total number of stories. By doing that, at the top you will get sites like blog.geoffralston.com that have 3 out of 3 submitted stories get more than 50 points (100% !). Or lucumr.pocoo.org had 46 out of 124 total stories reach 50+ points! Talking about good writing. We cut the list at 2,500 sites…
2019
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We took the top 3 HN stories every day since October 2006 (~21K stories total), ran topic clustering on them, and visualized how topics rise and fall over time. You can zoom into any period - some patterns are surprisingly clear (AI overtaking startup culture as HN's top topic, crypto's rise and fall, remote work spiking with COVID). Happy to answer questions about the methodology.
Mar 2026 · app.lenzy.ai
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I noticed I was getting side tracked reading Hacker News, checking back, reading articles, comments, etc. It felt like my productivity was being hampered so I created a simple web app to receive the most popular stories in a daily email. http://dailyhn.com
2011
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