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See all stacks →Linkedin Algorithm | Steve Hanov
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.
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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
Steve Hanov (person, 0.95) · LinkedIn (organization, 0.99) · transformer model (technology, 0.9) · sequence model (concept, 0.85) · 360brew algorithm (concept, 0.8) · dwell time (concept, 0.75)
Classification
analysis · language en · status final
Provenance
claude-haiku-4-5 via @stacklist/be@0.1.0, confidence 0.85, 8 Jul 2026