The Technology Behind Detection
Our platform uses a combination of machine learning, pattern recognition, and social network analysis to detect fake followers with high accuracy.
Data Collection
When you submit a username, our system collects publicly available data including follower lists, post engagement, profile metadata, and account activity patterns.
AI Analysis
Our machine learning models have been trained on millions of known bot and real accounts. They analyze over 50 different signals to classify each follower as real or fake.
Pattern Recognition
Beyond individual analysis, we look at patterns across the entire follower base. Clusters of similar-looking accounts, coordinated following behavior, and unusual growth patterns all contribute to the final score.
Continuous Learning
Our models are continuously updated as bot creators develop new tactics. This ensures our detection stays ahead of the latest fake follower techniques.