Iris ships with a precalculated Nostr social graph for content filtering. It can be recrawled on the client side with a click of a button. In addition to this "web of trust", maybe we should include a "web of likes" dataset for client-side generated content recommendations. "You liked this user's posts, so you'll probably like these as well." Or "web of zaps" if that signal works better.

This is the new meta in the age of social graph filtering. First post #introductions, get followers from clients that don’t do filtering, then start spamming. Just need to keep muting them - mute lists are also shared in Iris.