Live data from Hacker News

Show HN: I mapped HN's favorite books with GPT-4o

hnbooks.pieterma.es

21–30 of 65 posts

Re: Show HN: I mapped HN's favorite books with GPT-4o

#22
Really cool to see my favs show up, but I honestly don't understand what we're actually looking at; the groupings seem very opaque beyond very general themes like sci-fi, startups, biographies, math, physics.

In other words, what are the clustering shapes telling us? Can we dig in based on geography, publishing date, key terms or themes?

Either way, I can't keep the site open for more than 30-40 seconds before it crashes. I suspect that's not the goal!

Is Cryptonomicon the best fiction book, or is the data wrong?

Re: Show HN: I mapped HN's favorite books with GPT-4o

#24
post #23

This is cool. Idea: Amazon has killed 'random' browsing of books. Would love to see this applied to topic area searches etc. so I can have the same serendipity that I used to get in all the bookstores Amazon unalived.

Well, for fiction there is:

https://www.literature-map.com/

Re: Show HN: I mapped HN's favorite books with GPT-4o

#26

Interesting but the visualization is useless. How about a standard tabular format maybe grouped by genre?

The 'genres' emerge out of the clusters. The fact that you can pick out 'genres' from this plot is an example of semi-supervised learning.

Re: Show HN: I mapped HN's favorite books with GPT-4o

#29

Earlier quoted context omitted.

looks like t-SNE projection

What does each axis represent? What is the significance of the placement of each cluster?

In t-SNE, the distances in the feature vector space are preserved in the projected space. IIRC, these distances serve as boundary conditions to a stochastic diffusion problem. The actual positions and the orientation are allowed to be free variables.
Post reply on HN