Reduce redundant container-layer rebuilds using registry-layer caching

Many teams running containerized CI repeatedly rebuild or re-pull identical image layers across pipelines, wasting compute, network bandwidth and developer time; these redundant layer workloads are especially painful for large monorepos and multi-service deployments. With roughly 2.0M development teams in an $18.0B addressable market (about $9K ACV per team across CI, registries and build-acceleration tools), even modest per-team savings scale to meaningful cloud cost reductions and faster feedback loops. You could build an OCI-aware registry-layer caching service or proxy that deduplicates and serves stored layers across repos and CI jobs, integrates with major registries (ECR, GCR, GHCR, Docker Hub) and CI systems, and exposes remote-cache APIs used by build tools to avoid redundant rebuilds. Key features would include manifest-level caching, signed provenance, configurable retention and policy controls, and fast fallbacks to origin; technical challenges include heterogeneous registry APIs, auth/token scopes, and preserving immutability and security guarantees. Those engineering hurdles are solvable, but expect nontrivial effort around reliable indexing, GC, and multi-tenant security. The market is attractive now because containerization, monorepos and heightened CI cost sensitivity are converging to make layer-level caching high-value and practical, and a focused solution can capture part of the $18B opportunity. To stand out from medium competition you will need verifiable, repeatable savings (benchmarks showing meaningful CI minute and bandwidth reductions), first-class integrations or partnerships with popular registries/CI providers, and enterprise-grade security and observability—without those levers the product risks being a point solution rather than core infra.