TimeLeak shows engineering leads exactly where delivery slows down — PR review lag, ticket handoffs, and cycle time by team — pulled directly from Jira and GitHub with no manual setup.
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Connects via OAuth — your data stays in your stack.
INFRA-88 flagged after 8h with no review activity. The assigned reviewer currently has 6 open PRs.
The constraint in most engineering orgs has shifted. The bottleneck isn't the code anymore — it's everything around it. Reviews that pile up. Tickets that stall between stages. Work that moves backwards late in the cycle.
Two or three overloaded reviewers can slow down an entire team without it ever showing up in a retro. You see the symptom — missed velocity — but not the cause.
Cycle time from dev to release often contains hours of invisible waiting. Work sits in handoffs that don't appear on any board, in any report, or in any standup.
Retros happen after the damage is done. By the time you identify a bottleneck from sprint data, the same issue has already slowed the current one.
Link Jira, GitHub, or Bitbucket with a single OAuth handshake. No tokens to manage, no data to export, no infrastructure to set up.
Choose which Jira projects and Git repos to track. TimeLeak builds your baseline from existing workflow data immediately.
Cycle time, PR throughput, review lag, and bottleneck detection are live as soon as your data syncs. No tagging. No process changes.
TimeLeak flags stalled PRs and blocked tickets while there's still time to act — not after the sprint post-mortem.
Built from real Jira and Git signals — not estimates, not manual input. All 14+ metrics update automatically from your existing workflow.
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