Respect HTTP Cache-Control in runtime fetch with TTL invalidation

Many edge and serverless runtimes, and even some server-side fetch polyfills, do not fully respect HTTP Cache-Control semantics or provide reliable TTL invalidation, which leads to stale responses, duplicated caches, unpredictable origin load, and developer confusion. This is a real pain for platform engineers, frontend teams, and backend teams operating at scale — part of a 25 million professional developer base in a $15.0B developer tools and infrastructure market where firms average about $600 per developer per year. You could build a standards-compliant runtime fetch layer plus a SaaS control plane that enforces Cache-Control directives and TTL invalidation consistently across Node, Deno, Cloudflare Workers, Netlify Edge and browsers, with configurable policies, tag- and path-based invalidation, and best-effort sub-second propagation. Deliver this as an open-source core SDK for easy adoption plus paid observability and policy dashboards that report hit rates, origin cost savings, and per-endpoint TTL analytics. Monetization can combine a freemium tier, per-request billing for advanced global invalidation, and enterprise integrations with CDNs, CI/CD and logging platforms. Market timing supports this: edge and serverless adoption, a renewed focus on web performance, and mature telemetry stacks make cache correctness both more necessary and easier to monetize, which aligns with a 90/100 market score and a 78/100 revenue potential given medium competition. To stand out you must be truly standards-first and low-latency, provide turnkey integrations and an open-source lead to build trust, while acknowledging real challenges: ensuring cross-runtime consistency, minimizing performance overhead, proving correctness at scale, and negotiating partnerships with CDN and platform vendors.