HN Sentiment API
I ranked tech CEOs by how much you hate them
Details
- External ID
- 46345330
- Source
- HN
- Company
- —
- Product
- HN Sentiment API
- Website domain
- hnpulse.com
- Launched
- Dec. 21, 2025
- Cohort
- —
- Upvotes
- 27
- Upvotes percentile
- 0.708969465648855
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Description
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
Enrichment
- Theme
- Hacker News clients, datasets, and tools
- Vertical
- Horizontal
- Function
- Analytics & BI
- Audience
- B2C
- AI stance
- AI feature
- Project type
- Hobby / open-source project
- Normalized one-liner
- sentiment analysis of tech ceos on hacker news
- Manually corrected
- False
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 — 81 launches clear the similarity bar, closest 8 shown.
Attention rank: #32 of 82 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 52 days after the earliest competitor.
- Is AI "good" yet? · hn · 2026-02-02 · 16 upvotes · similarity 0.51
- Hacker Backlinks · hn · 2026-02-06 · 6 upvotes · similarity 0.49
- Hacker Smacker · hn · 2026-02-24 · 148 upvotes · similarity 0.44
- Was tired of drowning in HN comments, so I built an AI Chief of Staff · hn · 2026-01-26 · 5 upvotes · similarity 0.43
- HN Bot Detector · hn · 2026-03-02 · 7 upvotes · similarity 0.42
- Viral Potential Predictor · hn · 2025-12-28 · 34 upvotes · similarity 0.41
- How much of Hacker News is about AI? · hn · 2026-08-26 · 74 upvotes · similarity 0.41
- 20 years of Hacker News discussions, clustered and visualized · hn · 2026-03-22 · 7 upvotes · similarity 0.41
Other launches for this product
- No other launches for this product.
Same idea, different domain
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