Delivery Forecasting

Stop guessing.
Start forecasting.

Engineering teams underestimate work by 25-40% on average. CodePulse uses your team's actual cycle-time and velocity data to produce delivery forecasts your stakeholders can trust, without story-point theater.

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Free for small teams. No credit card required.

"How long will this take?" is costing you

Missed estimates erode stakeholder trust, force overtime, and turn planning sessions into negotiations instead of collaboration.

71%

of software projects miss their deadline

According to the 2024 Standish Group CHAOS Report, fewer than 3 in 10 IT projects ship on time and on budget.

25-40%

average underestimation by eng teams

Without historical calibration, teams consistently promise more than they can deliver, then burn out trying to close the gap.

68%

of teams lack accurate capacity data

The 2024 State of Agile Report found that most teams cannot confidently answer "can we take this on?" at sprint planning.

From your history to delivery confidence

No manual tagging. No time tracking. Just your existing GitHub workflow.

Connect GitHub

One-click OAuth. CodePulse reads PR metadata and timestamps only, never your source code. Setup takes under 5 minutes.

Build a baseline

We analyze 6 months of historical PRs, reviews, and merge patterns to calculate your team's actual throughput and cycle-time distributions per work type.

Get forecasts, not feelings

See data-driven delivery estimates with confidence ranges. Identify which work types you consistently underestimate and by how much.

Forecasts built on what actually happened

Instead of gut-feel estimates, use data from your team's real delivery patterns.

Team velocity trend with confidence corridor

Velocity trend with confidence ranges

Track your team's throughput over time and see where it's heading. The confidence corridor shows you the realistic range for upcoming sprints, not a single number that pretends certainty exists.

Calculated automatically from merged PRs, no manual story-point entry
Separate baselines per work type (features, bugs, refactors)
Flags sprints where throughput drops outside the normal range

Estimated vs. actual cycle time

See exactly where your estimates diverge from reality. CodePulse breaks down cycle time by work type so you can recalibrate the categories you consistently misjudge, instead of inflating every estimate with a blanket buffer.

Work-type classification from PR labels and branch names
Surfaces chronic underestimation patterns per category
Buffer recommendations based on historical variance

Cycle time comparison by work classification

What the data says

Teams that calibrate estimates against historical delivery data get measurably better results.

55% to 76%+

Sprint predictability improvement when teams use historical velocity data for planning

Plandek research, 2024

85%+

Sprint target completion rate for high-performing teams that track planning accuracy

Industry benchmark

3.4x

More likely to hit deadlines when variance is caught in the first 20% of a timeline

FullScale.io study

Built for teams, not surveillance

CodePulse forecasting uses team-level patterns, not individual developer metrics. We never access source code, and there are no keystroke trackers or screenshot tools. Forecasts are for planning conversations, not performance reviews.