SaaS development
Multi-tenant, billing, and the unglamorous parts that decide whether it scales.
- Typical scope
- Multi-tenant platform, billing, admin, onboarding
- Timeline
- 6–14 weeks
- Price band
- $2,999+
The problem you probably have
The product works for one customer. Making it work for a hundred means tenancy, billing, provisioning, and admin tooling — none of which is on the roadmap because none of it is a feature.
What you get
- Tenancy in the schema from the first migration — retrofitting it later is a rewrite
- Subscription billing with the edge cases handled: proration, dunning, plan changes, failed payments
- Admin and support tooling, because you will need to impersonate a user on day three
Typical stack
- Next.js
- TypeScript
- Postgres
- Stripe
- Supabase
Questions on this specifically
Schema-per-tenant or shared schema with row-level isolation?
Shared schema with row-level security for almost everyone. Schema-per-tenant only when a customer contractually requires physical separation. The shared model is cheaper to migrate, cheaper to query across, and the isolation is enforced by the database rather than by remembering a WHERE clause.
How is subscription revenue handled?
Stripe, with the edge cases treated as the actual work: proration on plan changes, dunning for failed payments, cancellation states, and the webhook handling that keeps your database and Stripe agreeing about who is subscribed. The happy path is a week; the edge cases are why this is a service.
Is this different from your MVP service?
Yes, by what is at stake. An MVP proves a thesis; SaaS development assumes the thesis and builds the machine — tenancy, subscriptions, provisioning, admin tooling. Plenty of clients do them in sequence, and the MVP is architected so that graduation is not a rewrite.
What admin tooling comes with it?
The unglamorous things you need on day three: user and tenant search, impersonation for support, feature flags, and the audit trail that tells you what changed. Support tooling ships with the product because retrofitting it means debugging production through raw SQL.
How do you keep one tenant from seeing another tenant’s data?
Row-level security enforced by the database itself — every query runs inside the tenant’s context whether or not the application code remembers to filter. It is the same mechanism we rely on in our own platform, and it fails closed: a missing policy denies rather than leaks.
Have a project in mind?
Bring us the problem. StratEdge scopes it, staffs it, manages it, and delivers it — one accountable company from start to finish.