Reduce CI runner costs by auto-right-sizing tiny jobs (1–2 core tiers)

Many engineering organizations waste money because CI pipelines default to oversized runners: a large fraction of jobs are “tiny” (1–2 core tiers) and yet get scheduled on 4+ core machines, which inflates cost across thousands of runs. Platform engineers, SREs and dev teams at companies of all sizes face this quietly recurring bill shock as cloud and self-hosted runner spend grows, and they lack safe, automated ways to change pipeline templates at scale. You could build an auto-right-sizing service that profiles job CPU/memory and wall-time, recommends and generates CI-as-code edits, and safely enacts changes with canary rollouts, rollbacks and clear ROI reporting. Focus on tiny-job patterns so the system targets the high-frequency, low-compute tail where rightsizing yields outsized savings; integrate with GitOps workflows and provide a lightweight self-hosted agent for immediate wins. The market is ripe: an addressable market modeled at $25.0B (5M developer orgs x $5K ACV), a market score of 90/100 and rising pressure from cloud cost concerns, GitOps adoption and growth in self-hosted runners make automated template changes feasible. This idea’s strengths are measurable, near-term ROI and straightforward plumbing into CI-as-code; revenue potential is solid (78/100) because savings can be converted into subscriptions or a share of cost-out. Challenges are real: accurate profiling without introducing flakiness, handling managed CI vendor constraints, and convincing teams to let automated PRs touch pipeline templates; competition is medium and includes general-purpose cost-optimization and CI vendor features, so starting with self-hosted platform teams and conservative, transparent guardrails is the safest path to traction.