What 78,181 scanned followers told us about Web3 community
The first production scan and what the numbers actually meant. Bot-Kill rates, archetype mix, and why "5,806 real community members" is the metric that matters.
Methodology write-ups, position pieces, and operator notes. The post list below is the planned cornerstone set; each ships when it is actually written.
The first production scan and what the numbers actually meant. Bot-Kill rates, archetype mix, and why "5,806 real community members" is the metric that matters.
The math of rented reach versus owned activation. Why one $50,000 KOL post will always lose to a $5,000 community activation spend on the same audience.
Reproducibility, audit trails, cost structure. The case for rules-based archetype classification in a category that has decided language models are the answer to everything.
Three is too few to differentiate; five collapses into noise. The full reasoning behind the archetype set, including the candidates we considered and rejected.
Activity floor, follower-to-following imbalance, posting-burst patterns, and linguistic uniformity. The four signals that explain how 90.96 percent of the Mintlayer follower list got filtered.
What gets verified, what does not, and how the verified-only ledger compounds into reporting your client's CFO will actually trust.
New posts will land at the top of this list. Subscribe via @communityxos on X for the post drop.
The cornerstone list is opinionated, not exhaustive. Tell us what you would want to read about community intelligence; we will write it.