Shared-runner CI delays — self-hosted runners to regain control

Engineering teams dependent on shared CI runners face unpredictable queue delays and runaway cloud CI bills, a problem that is especially acute for mid-market and enterprise organizations and reflected in the 1.2M developer teams sized addressable market. These teams lose developer productivity to minutes-or-hours-long queues, have limited control over build environments and artifacts for compliance, and experience billing volatility that makes CI costs hard to forecast. You could build a managed self-hosted runner orchestration platform: an operator-controlled control plane that deploys autoscalers and hardened runners into customers' VPCs or Kubernetes clusters, supports spot/preemptible instances, centralizes secrets, logs and artifact routing, enforces SSO and audit logging, and exposes per-repo cost reporting and policy controls. The product would ship with turnkey IaC installers, tenant isolation, enterprise SLAs and a predictable commercial model targeting roughly $4K ACV per team while leaving compute spend inside customer clouds. The timing is favorable because cloud-hosted CI costs are rising, enterprises increasingly require data residency and compliance, and the maturation of Kubernetes and infra-as-code lowers deployment friction; the opportunity is roughly $4.8B (1.2M teams × $4K ACV) with a Market Score of 95/100 and Revenue Potential 94/100. To win you must prioritize operational simplicity and trust—fast installers, turnkey autoscalers, enterprise-grade security and transparent cost analytics—while being honest about the challenges: onboarding complexity, the need for robust support and professional services, and direct competition from established CI vendors and cloud providers that will make targeted enterprise go-to-market and security certifications essential.