Avoid full CI for GitHub-native mid stacks by selective CI

Avoid full CI for GitHub-native mid stacks by selective CI targets a $3.2B = 320,000 dev orgs x $10,000 ACV. Targeting teams with CI budgets that can pay for optimization tooling rather than raw compute. total addressable market with medium saturation and a year-over-year growth rate of 18-25% driven by DevOps tool spend and cloud CI minute growth.

Key trends driving demand: GitHub Actions adoption -- more orgs standardize on Actions which allows a GitHub-specific optimization layer to integrate deeply.; Multi-repo, stacked PR workflows -- increased use of stacked PR patterns amplifies repeated CI runs and creates recurring cost.; Rising CI compute costs -- cloud e2e tests consume expensive infra, making optimization a direct cost lever.; Shift toward policy-as-code -- teams prefer declarative, reusable pipeline policies so a small integration can scale across repos..