Prevent disk LRU cache poisoning by skipping empty cache files

Many production web apps experience subtle correctness and performance regressions when disk LRU caches pick up empty files created by interrupted or partial writes; this manifests as cache poisoning, increased cache misses, and hours spent debugging flaky behavior. The problem is especially acute for teams running on serverless/edge platforms and framework-first hosts (Node, Python, JS runtimes) — roughly speaking, among the 1.5M companies building production web apps this is a recurring, hard-to-detect class of bugs that impacts developer velocity and user experience. You could build a lightweight protection stack consisting of an open-source runtime library and a small host agent that detect interrupted writes and skip creating or promoting empty on-disk cache entries, plus middleware/plugins for major frameworks and CI checks that catch regressions before deploy. Offer hosted diagnostics and integrations for platforms like Vercel and Netlify as a paid tier, with clear telemetry, developer UX hooks, and an enterprise option for platform-level patches and SLAs. This is an attractive moment: the addressable market is about $6.0B (1.5M companies × ~$4,000/yr on developer-reliability tooling), with a market score of 90/100 and revenue potential 84/100, driven by framework-first hosting, edge/serverless persistence quirks, and companies paying for DX improvements. You can stand out by shipping an open-source core to remove adoption friction, paired with turnkey platform integrations and low-overhead guarantees (targeting <1% CPU and minimal latency), plus clear observability to prove ROI. Real challenges are integration friction with diverse kernels and container filesystems, potential edge cases across OSes, and convincing infra teams to change caching behavior — so prioritize a few high-impact platform partners, measurable SLAs, and repeatable testing to build credibility.