GitHub Insights shows basic contribution graphs, nothing actionable. Engineering leaders report 'we shipped stuff' without data. Code review bottlenecks are invisible. Deep work vs. meeting time is unmeasured. No metrics on code quality trends over time. Board-level engineering reporting is guesswork.
Engineering analytics platform connecting to GitHub/GitLab/Jira to surface velocity trends, review bottlenecks, quality metrics, and team health — giving engineering leaders data for decisions and board reports.
Engineering managers wanting visibility into team output, VP of Engineering reporting to the board, and team leads identifying process bottlenecks
Engineering is the largest company expense. Boards demand engineering metrics. Remote work makes visibility harder. AI-generated code changes productivity baselines. Developer experience determines retention.
Free: 1 team, basic stats. Pro: $9/developer/mo (full analytics). Team: $15/developer/mo (executive reports + benchmarks). Enterprise: $25/developer/mo (SSO + custom). Annual: 20% discount.
Dev analytics. $38+/dev/mo, acquired by Pluralsight, enterprise
Basic graphs, manual analysis, no bottleneck detection, no executive reports
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