1 مستودع
Analyzes content performance by identifying success patterns derived from historical channel data.
Distinct from URL Content Analyzers: Distinct from URL Content Analyzers: focuses on identifying growth patterns through scoring formulas rather than AI-based text extraction from URLs.
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This project is a content performance predictor and strategy optimization framework designed to turn social media content creation into a data-driven experiment. It uses standardized rubrics and historical benchmarks to convert subjective writing into quantifiable scores and engagement forecasts. The system differentiates itself through a blind-prediction feedback loop and retroactive analysis pipeline. It records performance expectations before publication to measure human intuition against actual results, then uses those variances to automatically calibrate scoring formulas and prune obsole
Scores posts using a formula derived from historical channel data to determine potential success based on unique patterns.