About this project

• The Problem: Over 50M creators compete blindly. YouTube Studio tells WHAT happened, not WHY. We solve this guesswork.
• The Solution: We ingest channel data and process it through advanced Machine Learning pipelines to tell creators exactly what triggers the algorithm.
• NLP Transcript Analysis: Using Google Gemini to identify the exact 'verbal hooks' that retain viewers and 'filler words' that cause drop-offs.
• Computer Vision Thumbnails: Pixel-level analysis on historical thumbnails to identify visual patterns that consistently generate higher CTR.
• Predictive Retention Forecasting: ML models analyze the script to predict exact audience drop-off moments before a video is even published.