Their Pitch
The AI productivity platform for engineering leaders.
Our Take
It's a dashboard that shows engineering managers where their code gets stuck and automates the boring parts of code reviews. Think Google Analytics for your development process, plus a robot that routes pull requests.
Deep Dive & Reality Check
Used For
- +**Your pull requests sit for days before anyone reviews them** → Automatically routes code to the right reviewers and nudges people in Slack when things stall
- +**You're guessing why deployments take 3 weeks instead of 3 days** → Shows exactly where code gets stuck - coding time, review time, or deployment bottlenecks
- +**Manual code reviews miss security bugs and performance issues** → AI reviews catch problems before they hit production
- +Tracks impact of AI coding tools like GitHub Copilot - measures if your $200k investment actually speeds up delivery
- +gitStream automation approves low-risk changes automatically - no waiting for humans to approve typo fixes
Best For
- >Your engineering team keeps missing deadlines and nobody knows why
- >You're promoting developers to managers and they need data instead of gut feelings
- >Spending $200k on GitHub Copilot and your CEO wants proof it's working
Not For
- -Teams under 15 engineers — the insights come from comparing teams and patterns, not much to compare with 5 people
- -Companies still deploying manually or using basic Git workflows — needs mature CI/CD pipelines to be useful
- -Anyone wanting simple project tracking — this is for engineering process optimization, not basic task management
Pairs With
- *GitHub or GitLab (where your actual code lives and LinearB pulls all its data from)
- *Jira (to connect code changes with actual project progress and business requirements)
- *Slack (where the coaching bot sends passive-aggressive reminders about stalled pull requests)
- *GitHub Copilot (LinearB measures if your AI coding investment actually makes teams faster)
- *Snowflake or BigQuery (to export engineering metrics into your company's data warehouse for executive dashboards)
The Catch
- !No public pricing, which usually means "enterprise expensive" — likely $5k-50k annually based on the target market
- !Requires connecting all your tools (GitHub, Jira, Slack) via APIs — if your workflow is spread across random tools, setup gets messy
- !The automation features need someone technical to configure properly — not just point-and-click for non-technical managers
Bottom Line
Finally answers "why does shipping code take forever?" with actual data instead of developer shrugs.