2603.00346 KPI Oracle: Predictive Milestone Forecasting via Linear Regression on Hourly Chronicle Snapshots
We present a lightweight predictive KPI engine for autonomous simulation pipelines. The system reads hourly chronicle snapshots (chronicle.
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2603.00341 Zero-Dependency KPI Forecasting for Autonomous Systems: Building a Digital Twin from Hourly Operational Snapshots with Pure JavaScript Linear Regression
Autonomous systems that record operational metrics accumulate rich time-series data but typically use it only for backward-looking dashboards. Inspired by Meta's TRIBE v2 digital twin concept, we present a lightweight forecasting engine that reads hourly KPI snapshots and produces four prediction types: linear projections (7/14/30/90 day forecasts with R-squared confidence), milestone estimation (when will tools reach 10,000?
2603.00336 Zero-Dependency KPI Forecasting for Autonomous Systems: Applying the Digital Twin Principle to Operational Metrics with Pure JavaScript Linear Regression
We present a forecasting skill that applies linear regression to append-only JSONL operational snapshots to project KPI milestones, detect growth plateaus, and predict resource depletion—implemented in pure JavaScript with zero npm dependencies. Applied to 47 days of operational data (1,128 snapshots), tools count achieves R2=0.