Creator Discovery Platform - Find Tomorrow's Viral YouTube Stars

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Data Sources & Methodology

📈 Growth Rate Calculation

Fresh Data (Green): Calculated from subscriber snapshots taken within the last 7 days. Uses actual subscriber count differences over time for highest accuracy.

Recent Data (Yellow): Based on snapshots up to 30 days old. Still reliable but may not reflect very recent changes.

Estimated (Orange): Calculated from channel category averages and historical patterns when recent data is unavailable.

Pattern Analysis (Blue): Industry benchmark estimates based on similar channels in the same category and subscriber range.

💬 Engagement Rate Methodology

Formula: (Likes + Comments) ÷ Views × 100

Measured (Green): Direct calculation from actual video metrics including likes, comments, and view counts from recent uploads.

Calculated (Blue): Derived from available partial metrics using statistical modeling and subscriber-to-engagement ratios.

Estimated (Yellow): Category-based estimates using machine learning models trained on similar channels.

🔥 Viral Prediction Algorithm

Our AI system analyzes multiple factors to predict viral potential:

Growth Velocity: Rate of subscriber acceleration and momentum patterns
Engagement Trends: Recent improvements in likes, comments, and audience interaction
Content Analysis: Video metadata, thumbnails, and performance patterns
Historical Data: Comparison with similar channels that achieved viral success
Market Timing: Category trends and competitive landscape analysis

Confidence Levels: Higher confidence requires 7+ days of data, 100+ subscribers, and sufficient engagement metrics for reliable predictions.

🔍 Data Sources

YouTube Data API v3: Official subscriber counts, video metrics, channel metadata

Daily Snapshots: Automated data collection for growth tracking

Machine Learning Models: Trained on 100,000+ creator data points

Industry Benchmarks: Category-specific performance standards

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