When Instagram's Bot Detector Caught Me: Inside GramShift's Complete Redesign

SNS automation tools operate in a constant arms race against platform detection systems. This case study reveals that bot detection isn't triggered by any single aggressive parameter, but by how multiple factors interact over time—tight intervals, high daily action counts, and nighttime activity combined create detectable patterns. For indie developers, understanding these interactions is crucial to building sustainable automation tools that survive platform scrutiny.