What problem does it solve?
Provides a repeatable routine to compare community, GitHub, and financial metrics week-over-week so teams can detect patterns, surface risks, and identify opportunities without manual data wrangling.
Core Features & Use Cases
- Multi-source aggregation: Collects data from Discord reports, GitHub reviews, Stripe/Omie financial feeds, and ADW runner metrics.
- Automated trend calculation and classification: Computes absolute and percentage variance, assigns direction and status using defined thresholds, and highlights persistent trends, correlations, anomalies, and seasonality.
- Report generation and persistence: Produces a populated HTML report from a template, a summarized Markdown version, and saves a JSON snapshot for historical tracking; sends a short Telegram summary when complete.
- Use Case: Run every week to monitor community engagement, engineering throughput, and subscription revenue to guide product and ops decisions.
Quick Start
Generate a weekly trends report comparing the last 7 days to the prior week, save the HTML and markdown outputs, and persist the JSON snapshot.