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HN Sentiment API

I ranked tech CEOs by how much you hate them

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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% negativeMID:- Bill Gates: 22% positive, 8% negative- Tim Cook: 15% positive, 30% negative- Bezos: 12% positive, 18% negativeHATED:- Zuckerberg: 4% positive, 35% negative- Sam Altman: 8% positive, 38% negative- Musk: 5% positive, 45% negativeTry it yourself:# Who does HN talk about the most?curl "https://api.hnpulse.com/entities?label=person&sort=mentions"# What are people saying about remote work?curl "https://api.hnpulse.com/comments?entity=remote work&limit=3"# Is OpenAI's reputation getting worse?curl "https://api.hnpulse.com/trends?entity=openai&bucket=day"# What technology gets mentioned alongside SF?curl "https://api.hnpulse.com/entities?co-occur=SF&label=technolog..."Stack: Go, PostgreSQL, GPT-4o mini for entity extractionDocs: https://docs.hnpulse.com API: https://api.hnpulse.com

HN · launched Dec 21, 2025 · 27 upvotes (top 29%) · 0 views

Niche: sentiment analysis software · 32 launches, 0 in the last 7 days · Explore this niche →

Category and tags

  • Media & entertainment
  • Analytics & BI
  • Developer
  • AI feature
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

Yes The product extracts entities and sentiment from public comments via standard batch processing or off-the-shelf NER/sentiment models (or LLM API calls) and serves the results over a REST API.

Discussion

9 comments analyzed.

Concerns raised: Cost is high - $238.21 and 663M tokens for analysis, Binary sentiment analysis loses nuance between different types of criticism, Data collection and annotation effort required for personal datasets

Feature requests: AI nudging for better communication patterns in personal comments, More granular sentiment analysis beyond binary positive/negative, Easier personal data collection from Chrome bookmarks and social posts

Competitors

Other products that read as similar to this one : 144 launches clear the similarity bar, closest 8 shown.

Attention rank: #53 of 145 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 52 days after the earliest competitor.

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