20 years of Hacker News discussions, clustered and visualized
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.
Does the same job
all alternatives →- IMI made Google Trends for Hacker News by indexing 18 years of commentsJun 2026 · hackernewstrends.com · ▲822
- HTHN Trends - like Google Trends, but for Hacker News2011 · hntrends.jerodsanto.net · ▲355
- HNHacker News Trends2020 · eliot-jones.com · ▲137
- HNHacker News with categories and popularity2014 · newshack.io · ▲149
Did you want to know topics of the news or popularity of posts? "Hacker News Hack" helps you to find news based on some categories and importance or popularity. It tagged news with 9 categories with a natural language processing technology and supervised learning for categorizing news. It also calculates a speed of number of comments in each posts as popularity based on term, that is 1 hour, 1 day, 1 week, 1 month, or 1 year.
- WLWayback Letter - Looking back at 5+ years of Hacker News2012 · ▲59
I just sent out my 100th issue of Hacker Newsletter and announced my newest newsletter: Wayback Letter - http://www.waybackletter.com/ In either a daily or weekly version, you'll get links to great HN articles from the past five years. A great way to see how HN has grown and changed, plus see what was going on at different times. Lastly, there are a ton of great reads to learn from that I never saw the first go around. Would love to get feedback and my goal is to expand this past HN in the future.
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, March 2026
the whole month →
Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
