Reduce DevTools overhead with ultra-low-allocation runtime utilities

Reduce DevTools overhead with ultra-low-allocation runtime utilities targets a $8.0B = 23M professional developers x $350 avg tooling spend/year total addressable market with medium saturation and a year-over-year growth rate of 12% yearly growth in DevTools & observability budgets.

Key trends driving demand: Frontend complexity -- More component trees and async rendering increase runtime introspection cost, raising demand for low-overhead tooling.; Observability convergence -- Debugging, replay, and metrics increasingly integrated, so efficient serialization and lightweight inspection layers are required to reduce telemetry costs.; Edge and serverless -- Shift to edge/serverless runtimes makes memory allocations and cold-start overhead more painful, increasing interest in allocation-minimizing libs.; AI-assisted profiling -- Automated hot-path discovery and tuning enable rapid iterative optimization and validate micro-optimizations across real-world apps..