pmaze

4 ms·

1.
by pmaze 9mo ago
The connections are meaningful to me in so far as they get me thinking about the topics, another lens to look at these books through. It's a fine balance between being trivial and being so out there that it seems arbitrary. A trail tha
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by pmaze 9mo ago
I ended up judging where to draw the line. Its initial suggestions were genuinely useful and focused on making the basic tool use more efficient. e.g. complaining about a missing CLI parameter that I'd neglected to add for a specific c
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by pmaze 9mo ago
The names & descriptions definitely have that distinct LLM flavour to them, regardless of which model I used. I decided to keep them, but as short as possible. In general, I find the recombination of human-written text to be the main in
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Show HN: I used Claude Code to discover connections between 100 books(trails.pieterma.es)
524 points by pmaze 9mo ago|146 comments
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Show HN: Syntopic reading with Claude Code – connections across 100 books(trails.pieterma.es)
3 points by pmaze 9mo ago|0 comments
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by pmaze 1y ago
https://hnbooks.pieterma.es I scraped HN's 1000 most mentioned books and visualised them. This month I used a new embedding model (Nomic), switch out UMAP for PaCMAP, and added automatic cluster labelling. The clustering an
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by pmaze 2y ago
I did, there was a first round of UMAP to 50 dimensions. Running HDBSCAN on the full embeddings gave bad results, lots of singleton clusters.
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by pmaze 2y ago
The crash was indeed not intended - my mistake! Should be fixed now. You've got the cluster semantics spot on, to be honest. Broad genres are grouped together, with a tendency for sub-genres to be grouped locally within those. There is
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by pmaze 2y ago
Hey, thanks for reporting - this is fixed now. I messed up the static build and some browsers freaked out. By law of showing things publicly, I of course only tested in a browser that didn't. Hope you can give it another chance!
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by pmaze 2y ago
My apologies for that! First time deploying Svelte Kit to Cloudflare Pages, and I messed up the static build. Should be fixed now, hope you can give it another shot.
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by pmaze 2y ago
Thanks! The cluster memberships that come out of the first round are distributions over the different clusters, e.g. a given book is weighted 0.8 for cluster A and 0.2 for cluster B. The Hellinger distance is well-suited to quantify the dif
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Show HN: I mapped HN's favorite books with GPT-4o(hnbooks.pieterma.es)
285 points by pmaze 2y ago|61 comments
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Show HN: A 2D map of the 1000 most popular books on HN(hnbooks.pieterma.es)
8 points by pmaze 2y ago|0 comments