Multi-Tenant Vertical SaaS
Schema-first, RLS in week one, GraphQL on top, multi-surface from day one.
Production multi-tenant SaaS platforms with auditable security, fast iteration, and the data shape that lets a small team ship features for years without a rewrite.
Vertical SaaS lives or dies on its data model and its tenancy story. Get either wrong and the product turns into rewrite-as-a-service. Most teams ship UI fast, defer the schema decisions, and pay the cost forever.
- →Model the domain into a relational schema with foreign keys, history tables, and audit columns before any UI ships
- →Enforce row-level security on every table with org-scoped policies — week one, no exceptions
- →Layer a GraphQL API for cache-aware, optimistic-update client patterns
- →Migrations as code, applied automatically; no production database that anyone touches with a UI tool
The schema is the product. Every screen, every API endpoint, every migration after the first week inherits the words and relationships chosen on day one. The discipline of modeling first pays back tenfold over a year of feature work — and the tenancy audit before launch turns up the privileged paths nobody expects.
Tenancy belongs in the schema, not the backlog. Every table carries an org_id and a row-level security policy that scopes reads and writes to the tenant. Even the admin dashboard runs through the same RLS path as customer queries. Service-role connections are reserved for two named system tasks; everything else uses an authenticated, RLS-scoped role.
GraphQL on top because the moment a screen needs to combine three resources, you'll regret REST. TanStack Query handles the client-side caching and optimistic updates; the result feels fast even before the first performance pass.
- →Spend the first week on the schema. The eight days feel expensive and pay back tenfold.
- →RLS on every table from day one. Retrofitting tenancy is a complete rewrite by another name.
- →Test with a connection that's actually subject to your policies. RLS that isn't tested is RLS that doesn't work.
From iPad in a customer's space to a structured, line-item quote in ninety seconds.
Run the business from anywhere. Same tools, same context, voice or text, picked by the situation.
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