working on visually representing a selected community's interests in the @quotient ui, starting with accounts community members are interested in.

ran into a challenge capturing  *distinctiveness* of the community's interests. i.e. it's not helpful to say "people in this community love @dwr.eth!" 

using a tf-idf-ish algo to discount accounts that get lots of engagement from everyone to hone in on what the community cares about. 

then sorting the results into quadrants reflecting the nature of the community's interest in that account—i.e., from highly specific core interests ("Primary") to more generally popular personalities ("Secondary"), etc

Fun use case for Quotient—optimizing @ampsfun usage.

I wanted to boost a product update/teaser with my Wallet Connect airdrop.

Our Growth quickly surfaces highly trusted accounts within specific communities (in this case, Quotient mini-app users).

Quotient to identified @sdv.eth and @hellno.eth as the most trusted accounts within my Amps budget, perfect for engaging our existing audience with an incremental update.

For a different scenario—like a major feature release—Quotient could similarly help me find the accounts most relevant to expanding my target audience.

dev + founder | @vibesengineering.eth prev: @onsenbot @herocast

This is super neat. Would be sick to see something like this exposed directly to @ampsfun so people can better optimize their budgets.

We need more mini apps talking to one another!!

Yeah that would be awesome. Definitely interested in some sort of integration there.