I got nerd sniped by the new Trending Topics and wanted to see if I could do it in a better way. Checkout the approaches and results and let me know your fav:

I got nerd sniped by the new Trending Topics and wanted to see if I could do it in a better way. Checkout the approaches and results and let me know your fav: https://kasra.blog/2025/04/16/farcaster-trending-topics-analysis/?1

I liked the first and last sets of topics the most. 

What I'd personally like is the ability to navigate topics through hiearchy - i.e. start at "Miniapps" and then get granular into "Farville..."

I think the girvan-newman network algo can take initial topics and then generate those sub-topics without having to run each cast through an LLM multiple times.

I liked the first and last sets of topics the most. 

What I'd personally like is the ability to navigate topics through hiearchy - i.e. start at "Miniapps" and then get granular into "Farville..."

I think the girvan-newman network algo can take initial topics and then generate those sub-topics without having to run each cast through an LLM multiple times. 

https://en.wikipedia.org/wiki/Girvan%E2%80%93Newman_algorithm

lol it's definitely work but i think there's interesting things to pursue. happy to jam on it if you want a sounding board / to incorporate data about the cast authors in your analysis

didn't even THINK of graphs that is such a good idea!