Fix slow ORM vs native pg - runtime optimizer or drop-in proxy

Fix slow ORM vs native pg - runtime optimizer or drop-in proxy targets a $3.5B = 100,000 engineering organizations x $35,000 ACV. Calculation: target orgs that run production Node/Postgres stacks and would pay for performance middleware, support, and observability. total addressable market with medium saturation and a year-over-year growth rate of 12-20% growth in developer tooling and database optimization spend as cloud and serverless adoption rises.

Key trends driving demand: ORM adoption -- more teams use ORMs like Prisma for developer productivity, increasing the surface area for runtime inefficiencies to impact apps.; Serverless and per-request billing -- latency directly increases cost and user-facing performance issues, raising willingness to pay for fixes.; Native module ecosystem -- languages like Rust and improved node native addon tooling make shipping high-performance bindings more feasible.; Connection pooling patterns -- wide use of pg-bouncer changes connection semantics, creating a distinct optimization niche for middleware that understands pooled connections..