Email & Lifecycle Marketing with TypeScript

Open rates have become unreliable as a metric. We report revenue per recipient, which is harder to flatter and far more useful.

TypeScript is strongest at one language across client and server, with types catching integration errors at build time. For email & lifecycle marketing that matters because the failure modes of this kind of system tend to cluster exactly there.

The honest trade-off: the ML ecosystem is in Python, so heavy model work lives there. We say that up front because a stack chosen for fashion rather than fit becomes someone's migration project two years later. We build the smallest thing that proves the case, put it in front of real users, and expand only what earns its keep.

Six weeks to something running in production, not six quarters to a strategy document.