Unnecessary React re-renders — structural deep-compare for useMemo/deps

Unnecessary re-renders in React are a persistent, low-visibility drag on engineering velocity and user experience: because hooks dependency arrays use reference equality, many objects and arrays that are conceptually stable still trigger useMemo/useEffect recalculations and component updates. This impacts individual frontend engineers and teams building medium-to-large SPAs—an addressable audience of roughly 20M frontend developers and an estimated tooling spend of $8.0B (20M × $400/year). You could build a focused developer toolset that combines a tiny runtime helper (structural deep-compare optimized for hook deps), compiler-assisted codemods to migrate patterns automatically, ESLint/IDE diagnostics, and CI/telemetry for regression detection. Technically the product must prioritize low overhead—using structural hashing, size thresholds, and memoization to avoid O(n^2) work—and be packaged as open core with paid enterprise features; the Revenue Potential is plausible (78/100) but will require clear ROI to convert teams to a runtime/CI dependency. Market timing is attractive: React Hooks are ubiquitous, Web Vitals and performance budgets push optimizations earlier in the stack, and AI-assisted code mods make low-friction migration realistic (Market Score 90/100). The main challenges are proving negligible added CPU cost versus naive deep-equals, keeping compatibility across React versions, and differentiating in a medium-competition space (react-fast-compare, lodash/isEqual, existing hook helpers); you can stand out by shipping rigorous benchmarks, seamless codemods for incremental adoption, and observability that quantifies real render savings for teams.