1 مستودع
Awesome GitHub RepositoriesContent Pattern Forecasting
Predicts engagement by identifying recurring structural patterns in high-performing historical content.
Distinct from Tree-Based Forecasters: No candidate covers the intersection of structural content patterns and reach forecasting; others focus on time-series or identifiers.
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Awesome Content Pattern Forecasting GitHub Repositories
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- xbuilderlab/cheat-on-content
XBuilderLAB/cheat-on-content
4,919عرض على GitHubThis 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
Predicts engagement levels by identifying recurring structural patterns within high-performing historical content samples.
Python
