Platform Development

Platform work is different from application work. Applications serve one user flow. Platforms serve many—tenants, integrators, and internal teams—all using the same system differently. We build multi-tenant architectures with tenant isolation at the database level (schema-per-tenant on PostgreSQL or dedicated instances for regulated workloads), configurable business rules per tenant, and role-based access that handles complex org structures.

For domains with graph-shaped data—org hierarchies, territory trees, commission structures, network topologies—we use Neo4j alongside PostgreSQL. Relational databases handle transactional data well; they handle relationship traversal poorly. A query like 'find all downstream accounts under this node with their associated deal history' that takes 8 seconds as recursive CTEs in Postgres runs in 15ms in Neo4j.

Real-time processing runs on WebAssembly where we need client-side computation that JavaScript can't handle fast enough—image processing, complex calculations in the browser, or offline-capable logic. Server-side, we use Redis for pub/sub and caching, AWS for compute and storage, and Next.js as the application shell. The result is a platform that scales to thousands of concurrent users per tenant without performance degradation.