This week, Bluesky, a social media application that serves as a reference for the Authenticated Transfer Protocol (ATP), has gained significant attention. With over 2 million people on its waitlist and 65k active users, it's an interesting case study. The platform's early Twitter-like feel, with a focus on fun and jokes, has attracted celebrities, journalists, and tech folks. While Bluesky currently lacks scalable moderation and user protection mechanisms, the ATP protocol itself is quite promising, using distributed IDs (DID) to identify users and storing data in cryptographically signed repositories hosted by federated "personal data servers". The Bluesky-Dev-Discord community has already grown to over 1000 members, with clients available in various programming languages. The author of the blog post imports the interaction graph from Bluesky using Neo4j AuraDB Free, visualizes and queries it, and runs graph algorithms for clustering and sizing. The process involves loading data into a Neo4j instance, creating user nodes, adding relationships between users and posts, and running graph algorithms to style and position them based on attributes. The author also explores the thread visualization and finds shortest paths between users via interaction networks or post-based threads.