Viewing profile — pmaze

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 …

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 C…

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 t…

I think LLMs are overused to summarise and underused to help us read deeper. I built a system for Claude Code to browse 100 non-fiction books and find interesting connections betwe…

LLMs are often used to reduce the amount of reading we do. I’m hopeful they can be used to augment our reading habits instead. I gave Claude Code a set of CLI tools to explore a li…

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 aut…

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.

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 …

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 t…

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.

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 …

Hey HN! I love finding new books to read on here. I wanted to gather the most mentioned books and recreate the serendipity of physical browsing. I scraped 20k comments from HN thre…

Hey HN! I love finding new books to read on here. I wanted to recreate the serendipity of browsing someone else's bookshelf. I scraped 20k posts from HN threads related to reading,…