{"version":"1.0","type":"card","id":"d8006771-8fbf-451b-b04a-1bd401282a80","url":"https://stacklist.com/card/d8006771-8fbf-451b-b04a-1bd401282a80","title":"Linkedin Algorithm | Steve Hanov","source_url":"https://www.linkedin.com/posts/steve-hanov_linkedin-algorithm-ugcPost-7480692321991331841-nUza/?utm_source=share&utm_medium=member_ios&rcm=ACoAAAI21ZsBNnZPaKuTab7nquKLCveUW7o-1DE","note":"This page discusses the changes in the LinkedIn algorithm that affect post visibility and engagement. It explains how the algorithm operates as a sequence model, the importance of user interactions, and offers tips for improving post reach.","image":{"url":"https://ucarecdn.com/e462d6af-c42c-46b2-9e2c-0df59e269c1d/","alt":"Linkedin Algorithm | Steve Hanov","width":1280,"height":800},"stack":{"id":"ebe7c82a-3c5d-43a2-a3e9-ce20328a0dfc","title":"GTM Tools","url":"https://stacklist.com/stack/ebe7c82a-3c5d-43a2-a3e9-ce20328a0dfc"},"created_at":"2026-07-08T22:48:32.486Z","updated_at":null,"aco":{"summary":"Understanding the LinkedIn Algorithm explains how LinkedIn's transformer-based sequence model determines feed visibility by analyzing user click patterns and engagement signals. The post reveals that reach decline isn't user error but algorithm behavior, and provides growth strategies including commenting on others' posts and leveraging the 72-hour traction window.","tags":["linkedin-algorithm","social-media","engagement","feed-optimization","growth-hacks","transformer-model","content-strategy"],"key_entities":[{"name":"Steve Hanov","type":"person","confidence":0.95},{"name":"LinkedIn","type":"organization","confidence":0.99},{"name":"transformer model","type":"technology","confidence":0.9},{"name":"sequence model","type":"concept","confidence":0.85},{"name":"360brew algorithm","type":"concept","confidence":0.8},{"name":"dwell time","type":"concept","confidence":0.75}],"classification":"analysis","language":"en","confidence":0.85,"provenance":{"model":"claude-haiku-4-5","tool":"@stacklist/be@0.1.0","confidence":0.85,"timestamp":"2026-07-08T22:48:42.107Z"},"token_counts":{"approximate":347,"cl100k":298},"content_hash":"sha256:694f306fbb316e757c367ba81c29524eb821d1abd3513c61ae6f941f3b3fde7a","acp_version":"0.2","body_available":true,"body_tokens":347,"visibility":"public","agent_accessible":true,"status":"final"},"_links":{"self":"/api/public/card/d8006771-8fbf-451b-b04a-1bd401282a80.json","html":"https://stacklist.com/card/d8006771-8fbf-451b-b04a-1bd401282a80","md":"/api/public/card/d8006771-8fbf-451b-b04a-1bd401282a80.md","stack_json":"/api/public/stack/ebe7c82a-3c5d-43a2-a3e9-ce20328a0dfc.json"}}