I think you also noticed that more and more content generated by so-called “AI” is flooding the world wide web. This is also impacting search engine efficiency – you can’t find what you want so quickly anymore, as the mass of auto-generated content obstructs the content authored by real people.
Because of this, I wanted to know which web sites I use most frequently, so that I know where to look when trusty Startpage is failing me. As data source, I wanted to use both my browsing history and my bookmarks. I’m a Firefox user, so I wrote two small Python scripts to extract the information from my Firefox profile. They each output a list of web sites ordered by number of occurrance in the respective data set.
You’re welcome to analyze your data with these scripts as well: https://github.com/mathisdt/firefox-userdata-analysis