Single-build bundle inspection: table view reusing diff-table

Modern frontend and full-stack teams struggle to inspect what changed in a single build: monorepos and route-heavy applications produce large bundles where CI logs and aggregate metrics obscure per-module or per-route regressions, wasting developer time chasing performance issues. This pain is acute for teams focused on Core Web Vitals and conversion metrics and applies to an estimated 1.6M development teams globally that need better dev tooling and performance insights. You could build a single-build bundle inspection tool that surfaces a compact table view (reusing a diff-table paradigm) with per-module and per-route rows, sortable columns for gzipped size, parsed size, delta, and annotations linking to import traces and bundle reasons; it would run in CI, persist build artifacts, and post concise PR comments when thresholds are exceeded. Prioritize a lightweight, agentless integration that supports esbuild, Vite, and webpack and exposes an API for custom grouping and historical queries. The market looks attractive: an estimated $4.8B TAM (1.6M teams × $3K ACV), a Market Score of 92/100 and Revenue Potential of 84/100 indicate strong willingness to pay for proactive regression detection. Trends—Core Web Vitals and conversion pressure, proliferation of JS frameworks and monorepos, and faster bundlers enabling more frequent builds—make per-build, route-level insights especially timely. You can stand out by minimizing cognitive load with a familiar diff-table UX, focusing on route-level attribution and low-friction CI integration, but expect real challenges: medium competition, nontrivial engineering effort to support accurate attribution across bundlers, and the need to avoid noisy alerts through sensible defaults and demonstrable ROI to drive adoption.