Accurate production build feature-usage telemetry for JS bundlers

Frontend teams and platform engineers struggle to get accurate production build feature-usage telemetry because modern JS bundlers and Rust-based toolchains lose or distort signals at the native/JS boundary, producing inconsistent identifiers and significant sampling errors that mislead optimization efforts. This problem is acute for the roughly 2 million dev teams that represent an $8.0B market (2M teams × $4K ACV), especially enterprise and platform teams that pay for build and observability tooling and care about shaving minutes off CI and avoiding blind optimizations. You could build a lightweight telemetry layer and SDKs that instrument bundlers (Webpack, esbuild, SWC, Turbopack) to produce stable, privacy-preserving feature-usage signals at production build time, with a sub-1% build-time overhead, deterministic identifiers, and connectors into existing observability stacks. The product would be offered as a SaaS plus optional on-prem collectors, with APIs for sampling, deduplication, and cross-repo aggregation so teams can drive CI optimizations and feature rollout decisions from reliable build data. The timing is favorable: bundler consolidation around Next.js/Turbopack and SWC, plus a strong current focus on build-cost and CI optimization, makes standardized telemetry hooks more valuable than ever. Differentiation would come from engineering defensibility around Rust↔JS boundary handling, vendor-neutral cross-bundler consistency, and enterprise-grade controls, but you should expect challenges winning bundler partnerships, addressing privacy and compliance, and competing with larger observability vendors—reality checks reflected in the market score (90/100) and revenue potential (82/100). If you can secure a few platform-team pilots and prove low overhead plus actionable ROI, this can realistically capture mid-market and enterprise customers willing to pay the $4K ACV.