I couldn't find a universal clustering algorithm yet: Frequently there is more than one way to group data that still makes sense, and as a result whichever final clustering option we choose - it will not be perfect.

Hm... unless maybe we do some sort of quantum clustering, which could be a fun project to explore!

It's a bit hazy now, but I remember trying hdbscan algorithm (hierarchical clustering), and on the graph of the GitHub size - I just couldn't fit it in memory.

I did end up using something similar to hierarchical clustering (mix of louvain/leiden/my own), and that's what we see in the final map.