Reduce per-request SSR overhead by lazy backpressure and trace skip

Reduce per-request SSR overhead by lazy backpressure and trace skip targets a $4.8B = 120000 web and platform teams × $40K ACV for performance tooling and optimization services total addressable market with medium saturation and a year-over-year growth rate of 12% YoY based on combined developer tools, APM, and edge optimization growth trends (source: aggregate industry reports from Gartner/IDC 2023-2024 estimates).

Key trends driving demand: Framework consolidation — widespread adoption of Next.js and similar frameworks concentrates optimization opportunities and simplifies targeting for a plugin-based solution.; Edge and pay-per-execution pricing — growth of edge compute makes small per-request CPU and memory reductions directly translate to hosting cost savings, creating a measurable ROI for optimizations.; Shift-left observability — teams now integrate performance checks into CI/CD, enabling automated micro-optimization tests and safer rollout of runtime patches.; Open-source-first adoption — engineers prefer OSS libraries they can inspect; combining an open-source optimizer with optional managed telemetry lowers friction to trial and adoption..