TimeLedger

TimeLedger is a web app that helps teams reconstruct “what happened when” across tools and data sources, then analyze how patterns evolved over time. You connect sources like GitHub, Jira, Slack exports, incident logs, and CSVs; the app normalizes events into a single chronological ledger with consistent timestamps, actors, and tags. It then provides historical analysis views: period comparisons (before/after a policy change), trend breaks (when cycle time shifted), and event-to-outcome correlations (deploy frequency vs incident rate). It’s not a generic BI dashboard; it’s built for temporal questions and narrative reconstruction, with audit-friendly exports for postmortems and compliance. AI assists by clustering related events into “episodes,” summarizing changes between periods, and flagging likely missing context—but every claim links back to the underlying events so users can verify.