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20 years of Hacker News discussions, clustered and visualized

20 years of Hacker News discussions, clustered and visualized

by BohdanPetryshyn·Mar 22, 2026·7 points·7 comments

AI Analysis

●●SolidRabbit HoleDark Horse

Twenty years of HN topics clustered and charted—see AI overtake startups.

Strengths
  • NLP clustering on 21K stories reveals genuine topic evolution, not just keyword tracking.
  • Interactive timeline with zoom lets you explore specific periods like COVID remote work spike.
  • Seventy-four distinct categories with trend percentages show real analytical depth.
Weaknesses
  • Only top 3 daily stories—misses the richer signal from comments and broader submissions.
  • HN analytics already exists (HN Trends, Algolia search), though clustering adds differentiation.
Category
Target Audience

Hacker News regulars, tech historians, data enthusiasts

Similar To

HN Trends · Algolia HN Search · Hacker News Tracker

Post Description

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.

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