Hacker News Sentiment Analyzer
Search any topic and analyze how the Hacker News community feels about it. AI-powered sentiment analysis of HN discussions.
How It Works
Enter a Topic
Type any keyword or topic you want to analyze on Hacker News.
AI Analysis
We search HN and use AI to analyze sentiment across relevant stories.
Get Report
View sentiment score, distribution, themes, and notable stories.
What This Tells You
Tech Community Perception
Hacker News is one of the most influential tech communities. Understand how technical professionals perceive your product, technology, or industry.
Product Feedback
Discover what HN users love or hate about specific tools and technologies. Get unfiltered, technical feedback from early adopters and developers.
Market Signals
Spot emerging trends and shifting sentiment around technologies, frameworks, or business models before they hit mainstream adoption.
Competitive Intelligence
Track how competitors are perceived by the HN community. Compare sentiment across different products to identify market opportunities.
Want to monitor Hacker News sentiment automatically?
CatchIntent monitors Hacker News 24/7, tracks sentiment changes, and alerts you when someone discusses your product or shows buying intent.
Frequently Asked Questions
How does the Hacker News sentiment analysis work?
We search the Hacker News Algolia API for the top 50 stories matching your keyword, then use AI to analyze the sentiment of each story title and content. The AI classifies each story as positive, negative, or neutral, identifies recurring themes, and generates an overall sentiment score from -1 (very negative) to +1 (very positive).
What does the sentiment score mean?
The sentiment score ranges from -1.0 (very negative) to +1.0 (very positive), with 0 being neutral. Scores above +0.2 indicate generally positive sentiment, while scores below -0.2 suggest negative sentiment. Hacker News tends to have more critical discussion, so scores closer to 0 are common.
How often is the data updated?
Sentiment analysis results are cached for 6 hours per keyword to ensure fresh insights. Each analysis uses the most relevant recent stories from Hacker News.
What kind of keywords work best?
Technology-related keywords work best since Hacker News is a tech-focused community. Try product names (e.g., "PostgreSQL"), programming languages (e.g., "Rust"), tech companies (e.g., "Stripe"), or industry topics (e.g., "remote work").
Why is the sentiment on Hacker News often neutral or mixed?
Hacker News is known for its critical and technical audience. Discussions tend to be analytical rather than emotional, which often results in neutral or mixed sentiment scores. This is normal and reflects the community culture.
Is there a limit to how many analyses I can run?
Yes, free users can run 1 sentiment analysis per day. Need unlimited analysis? Check out our plans for automated sentiment monitoring across platforms.
Have more questions? Browse all FAQs or talk to the founder