NEXUS-CRM — Multi-Tenant Sales CRM SaaS
> Multi-tenant Sales CRM SaaS engineered with React 19, Prisma, PostgreSQL tenant isolation, Redis RBAC & Resend OTP
Nexus CRM is an enterprise-ready Sales CRM platform architected from the ground up to solve the friction modern sales organizations face with fragmented lead channels and sluggish pipeline tracking. Designed with strict application-level multi-tenancy, each organization operates within an isolated workspace. Sales reps manage deals through a real-time drag-and-drop Kanban interface with optimistic state reconciliation, while managers maintain end-to-end visibility through omnichannel contact timelines, enterprise account tracking, and granular role-based permissions.
Decoupled architecture pairing a responsive React 19 SPA client with a high-concurrency Node.js/Express REST API, backed by PostgreSQL for ACID relational integrity and Redis for sub-millisecond RBAC permission checks and session caching.
Full administrative control over tenant settings, billing, team member invitations, and global pipeline stages.
Supervises sales pipelines, monitors team conversion metrics, reassigns leads, and reviews stage transitions.
Engages leads, moves deals through the interactive Kanban board, logs omnichannel interactions, and schedules follow-ups.
Preventing cross-tenant data leaks across 16 interconnected relational models without incurring the infrastructure complexity of isolated database instances per tenant.
Implemented organization-scoped Prisma client extensions and middleware that enforce mandatory tenantId filtering on every query, mutation, and relation traversal, fortified by compound database indexes.
Frequent drag-and-drop column transitions causing perceptible lag and visual flicker when waiting for backend network roundtrips.
Built an optimistic Redux pipeline engine that updates stage positions immediately in the client UI, rolling back seamlessly with an alert only if the server returns a validation conflict.
Evaluating complex role hierarchies across 47 API endpoints introducing unnecessary database query latency on every request.
Engineered an in-memory Redis permission caching layer with TTL expiration and event-driven invalidation on role changes, reducing auth middleware overhead to under 2ms.