HN Sentiment API – I ranked tech CEOs by how much you hate them
I built an API that extracts entities from Hacker News comments and classifies sentiment towards them as positive, negative, or neutral. It also classifies overall comment sentiment and assigns each entity a label (person, location, date, technology, organization, other). 505k+ comments, Oct 31 - Present. Here's the leaderboard: LOVED: - Steve Jobs: 44% positive, 7% negative - Linus Torvalds: 43% positive, 5% negative - Gabe Newell: 34% positive, 8% negative MID: - Bill Gates: 22% positive, 8% negative - Tim Cook: 15% positive, 30% negative - Bezos: 12% positive, 18% negative HATED: -…
HN Sentiment API – I ranked tech CEOs by how much you hate them launched on December 21, 2025 with 27 votes, #525 of 11,628 launches that month and more than 90% of that year's launches.
In plain words
HN Sentiment API analyzes over 505,000 Hacker News comments to extract entities and classify sentiment toward them as positive, negative, or neutral. It identifies entities by type—person, location, date, technology, or organization—and rates overall comment sentiment. The API lets developers query which topics receive the most discussion and what sentiment surrounds specific subjects. It's designed for developers and researchers interested in understanding community opinions and discussion trends on Hacker News.
written from the facts on this page · September 2026
From the sources
A sentiment analysis API for Hacker News comments.
In the maker’s words, at launch
I built an API that extracts entities from Hacker News comments and classifies sentiment towards them as positive, negative, or neutral. It also classifies overall comment sentiment and assigns each entity a label (person, location, date, technology, organization, other). 505k+ comments, Oct 31 - Present. Here's the…
Does a similar job
all alternatives →- IRI ran sentiment analysis on Show HN comments and got the meanest ones2018 · hn.walzr.com · ▲78
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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.
FeelHN - Sentiment analysis for HN comments [Stripe hackathon project]2012 · chrome.google.com · ▲22
Testing HN titles against a neural network2019 · github.com · ▲285Test your HN title against a neural network. Contribute to victorqribeiro/hntitlenator development by creating an account on GitHub.
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