What Bitcoin Twitter Is Signaling About the Market Bottom w/ Michael Sullivan

In this episode, Nik welcomes Michael Sullivan, a bitcoin researcher who analyzes market sentiment through language. Michael explains how he runs natural language models across thousands of tweets, cohorting bitcoiners into newer retail accounts versus longer-term holders, to measure moods like anger, conviction, optimism, and apathy over time. He covers why bitcoin is in one of the most prolonged anger regimes on record, why Michael Saylor has become the main target of that disapproval, and how the current mix of low engagement, fading excitement, and apathy resembles the conditions you tend to see near a market bottom. Nik and Michael also discuss the AI trade pulling mindshare from bitcoin. The Bitcoin Layer and its guests do not provide investment advice.