The best time to make a few key architecture decisions is before you have customers. The worst time is after. We help startups find the balance: ship something real quickly, but make the handful of choices - tenancy, identity, payments, data model - that are expensive to change later.
Our fundraising SaaS case study shows the approach in practice: separating concepts in the data model early, before real data existed, so new product lines had an obvious home instead of forcing a painful migration.
We’re comfortable as your whole engineering team for the first release, or as a partner alongside your first hires - writing the documentation and tests they’ll need to take over.