Engineering Intelligence Platform

Where your
delivery time
goes to hide.

TimeLeak surfaces the cycle time, PR bottlenecks, and review delays that slow down your engineering org — before they become a quarterly postmortem.

As AI speeds up how code is written, the real constraint shifts to everything around it — reviews, handoffs, and process friction. TimeLeak shows you exactly where that time is lost.

Join the waitlist to test the early version See what it tracks

Built from your Jira + GitHub/Bitbucket data. No manual setup, no process changes.

Connects with Jira GitHub Bitbucket
timeleak.app / explore
Sprint 47 · Engineering Core LIVE
Cycle Time
3.4d
↓ 18% vs last sprint
PR Throughput
24
↑ 6 merged
Velocity
82
↓ 4 pts
Review Time Distribution hrs · avg / median / P90
0 8 16 24h Alpha Beta Gamma Delta Median Avg P90
PR Throughput merged / sprint · by team
32 24 16 8 28 19 31 13 Alpha Beta Gamma Delta On target Below target

AI made code faster. It didn’t fix your pipeline.

Teams are shipping more code than ever — but delivery still slows down in the same places:

TimeLeak makes that friction visible — in real numbers, across your entire org.

Signal Overview
ELITE
247
PRs Merged
across 4 teams
GOOD
6.2h
Avg Review Time
Room to improve review speed
WARN
2.4×
P90 / Median Ratio
1 team may have stale PRs
ELITE
4.1%
Change Failure Rate
DORA Elite — very stable releases
GOOD
4.8d
Avg Lead Time
DORA High — under a week
GOOD
5.2d
Avg Cycle Time
Dev + Test + Release stages
WARN
480 lines
Avg PR Size
Approaching recommended limit

What it tracks

Every metric that matters to engineering leadership.

01
Cycle time analysis
See exactly how long work spends in each stage — dev, test, release. Identify where tickets stall and why delivery consistently slips.
02
PR throughput & review lag
Track average, median, and worst-case (P90) review times. Spot overloaded reviewers and PRs that are silently blocking delivery.
03
Sprint velocity tracking
Compare sprint velocity across teams and time periods. Understand whether slow delivery is a planning issue — or a process bottleneck.
04
Bottleneck detection
Identify where work actually gets stuck — not where you think it does. From long-running tickets to review queues, see constraints as they form.
05
Team comparison
Compare teams side-by-side across all key metrics. Find high-performing patterns and replicate them across your org.
06
Pipeline failure rates
Track change failure rate by detecting tickets that move backwards in Jira. Understand where work breaks down late in the delivery cycle.

What it measures

Built on real engineering signals — not estimates.

TimeLeak calculates metrics directly from your Jira and Git data:

All metrics are generated from your existing workflow — no manual input required.

Integrations

Works with your existing stack.

Connect Jira and your Git provider in minutes. TimeLeak builds every metric directly from your existing data — no tagging, no process changes, no manual tracking.

Filter by project or repository to focus on what matters.

Jira Cloud
Projects, issues, sprint data, and cycle time
OAuth 2.0
GitHub
Pull requests, commits, workflow runs
OAuth 2.0
Bitbucket Cloud
Repositories, pull requests, pipelines
OAuth 2.0
$ timeleak analyze --team engineering-core // Fetching sprint 47 data... cycle_time_avg 3.4d // ↓ 18% vs sprint 46 pr_throughput 24 // merged this sprint review_wait_p90 14.2h // ↑ needs attention velocity 82pts // ↓ 4 from forecast bottleneck "INFRA-88" // 22h in review bottleneck "DB-57" // blocked by auth team $

By the numbers

Built for orgs that measure what matters.

Metrics tracked
14+
Across cycle time, velocity, PRs, pipelines
Time ranges
6
Day, week, sprint, month, quarter, year
Integrations
3
Jira, GitHub, and Bitbucket via OAuth 2.0
Setup time
< 5m
OAuth connect, select projects, start tracking

Live charts

Every chart your engineering org actually needs.

These are the exact visualisations inside TimeLeak — built with your real Jira, GitHub, and Bitbucket data.

End-to-End Cycle Time Days per stage by team
12d 8d 4d 0 Alpha Beta Gamma Delta Dev Test Release
Review Time Distribution Avg, median, and P90 across teams
24h 16h 8h 0 Alpha Beta Gamma Delta Median Average P90
Deployment Frequency Deploys per week — DORA tier coloring
10 6 3 0 Elite 7+ Alpha Beta Gamma Delta Elite High Low
Average PR Size Lines changed — hatched = oversized
800 500 250 0 Alpha Beta Gamma Delta

Early Access

Stop guessing where
the time goes.

Join the waitlist and be first to know when TimeLeak opens for early access teams.

No spam. No pitch decks. Just early access when we're ready.