Working on this

custom recommendation engines that would work over the entire internet. similar to what parallel web systems is doing with search, but interest-based / user defined embeddings I think if we combine nostr with mainstream content it will show the world that if every website used a native login, we'd be able to interact across all websites. so doing a ton of crawling/scraping of the entire internet essentially. additionally reuse use the clustering process to create topical relays that would act similar to subreddits. classify each note + continuously run topic modeling on all notes to route notes to topical relays and clients could build dedicated clients on top

Yeah we’d still have Nostr login and for topical relays we’d actually re-route notes posted to our relay to m servers dedicated to that topic. For example I love Detroit sports, I post about the Pistons on the internet (doesn’t matter where) and it gets routed to a “sports” relay without me needing to know that relay even exists. We’ll basically route conversations to semantically similar conversations in real time across the entire web

that's the plan!