Early access

Your team's confidence, finally visible

MergeMeter helps engineering leaders understand how work flows through their teams using signals derived from pull request metadata.

mergemeter.com/dashboard
Avg confidence

84%

↑ 6% vs last month
PRs analyzed

147

This month
Response rate

72%

↑ 11% vs last month
Repos tracked

8

Across 1 org
Confidence trend — last 8 weeks
8 weeks agoThis week

Want to see your team's data here?

We're currently in private beta for a limited number of organizations. Join the waitlist and we'll reach out when a spot opens up.

How it works

How MergeMeter Works

MergeMeter connects to your GitHub organization and analyzes pull request metadata such as:

PR creation time

merge time

review participation

pull request size

repository activity

From that data, MergeMeter generates simple signals that help engineering leaders understand delivery flow and collaboration patterns.

MergeMeter does not analyze source code and does not track individual developer productivity.


Trust

Security and Privacy

MergeMeter only reads pull request metadata.

What we read

pull request metadata

merge patterns and timing

review participation counts

team-level activity signals

What we don't touch

access source code

analyze commit contents

track developer activity

require cloning repositories

The platform focuses on team-level signals derived from normal engineering workflows.


Audience

Who MergeMeter Is For

MergeMeter is designed for engineering leaders who want to:

understand how work flows through their teams

identify bottlenecks in code review and delivery

communicate engineering delivery trends to stakeholders

use metrics as conversation starters instead of performance scores


Start Where the Work Already Happens

Every engineering team merges pull requests. That workflow contains valuable signals about collaboration, delivery pace, and system friction.

MergeMeter begins by analyzing pull request activity, allowing teams to gain insight into their engineering system without introducing new processes or tooling.