Show HN: 20 years of Hacker News discussions, clustered and visualized (app.lenzy.ai)

7 points by BohdanPetryshyn ↗ HN
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.

6 comments

[ 4.4 ms ] story [ 29.1 ms ] thread
Yeah it's a bit slow right now. Some queries were never meant to handle public traffic. Does it load ok for you folks?
This is really great! One thing I noticed is that there seem to be some formatting problems when I actually go to view a thread, as I see many alphanumeric strings sprinkled in the text that looks like they probably had some kind of formatting information.
Really nice, thanks. You can sure tell when AI went from a CS class to real world.
This appears to be organized top-down, with categories as the entry point. How do we reverse-lookup a story? That is, given a story, how can I find it (if it's there) and walk it back up into its category?