Teamflow
TeamFlow is a multi-tenant SaaS platform that allows organizations to manage teams, projects, tasks, and subscriptions.

TeamFlow – Multi-Tenant SaaS Platform (Backend-Focused Project)
Goal:
Build a production-grade, resume-worthy SaaS application to master backend web development concepts while keeping frontend minimal and practical.
1. Project Overview
TeamFlow is a multi-tenant SaaS platform that allows organizations to manage teams, projects, tasks, and subscriptions.
This project is designed to:
- Strengthen backend fundamentals
- Practice real-world system design
- Reduce over-reliance on AI
- Serve as a flagship resume project (2026-ready)
2. Tech Stack (Recommended)
Backend
- Node.js
- TypeScript
- NestJS
- REST APIs (Swagger documented)
Database & Caching
- PostgreSQL
- Redis
Frontend (Minimal)
- React + TypeScript
- Tailwind CSS
DevOps & Infrastructure
- Docker
- GitHub Actions (CI/CD)
- AWS / DigitalOcean / Render / Vercel
- Razorpay (Payments)
3. Core Backend Concepts Covered
- Authentication & Authorization (JWT, Refresh Tokens)
- Role-Based Access Control (RBAC)
- Multi-Tenancy Architecture
- Database Design & Indexing
- REST API Design
- Background Jobs & Queues
- Caching Strategies
- Rate Limiting
- File Uploads
- Logging & Monitoring
- Payments & Webhooks
- Security Best Practices
- Docker & Deployment
4. System Architecture (High Level)
Client (React) | API Gateway (NestJS) | Auth Module ── Users ── Organizations | Projects ─ Tasks ─ Comments ─ Files | Redis (Cache & Queues) | PostgreSQL
5. Core Features
5.1 Authentication & Authorization
- Email & password authentication
- JWT + Refresh tokens
- Password hashing (bcrypt)
- Role-based access:
- Admin
- Manager
- Member
5.2 Multi-Tenancy (Critical Feature)
- Each user belongs to an Organization
- All data scoped by
organization_id - Enforced at:
- Database level
- API level
- Prevent cross-organization data access
5.3 Organizations & Teams
- Create organization
- Invite users
- Assign roles
- Manage members
5.4 Projects & Tasks
- Projects per organization
- Tasks with:
- Status (Todo, In Progress, Done)
- Priority
- Due date
- Task assignments
- Comments & mentions
5.5 Activity Logs
- Track user actions:
- Task created
- Task updated
- Member invited
- Store efficiently
- Pagination & filtering
5.6 File Uploads
- Upload task attachments
- Store files in:
- AWS S3 / Cloud Storage
- Secure access via signed URLs
5.7 Background Jobs
- Redis-based queues
- Jobs:
- Email notifications
- Daily activity summary
- Retry & failure handling
5.8 Subscription & Billing
- Stripe integration
- Plans:
- Free
- Pro
- Features gated by plan
- Webhook handling:
- Subscription created
- Payment failed
- Subscription canceled
5.9 Performance & Security
- Redis caching for hot endpoints
- API rate limiting
- Input validation
- SQL injection protection
- Centralized error handling
- Structured logging
6. Database Design (Key Tables)
- users
- organizations
- organization_members
- projects
- tasks
- task_comments
- activity_logs
- subscriptions
- payments
7. Development Phases
Phase 1 – Core Backend (4–6 Weeks)
- Project setup (NestJS)
- Database schema & migrations
- Authentication & RBAC
- CRUD APIs
- Postman collection
Outcome: Fully functional backend API
Phase 2 – Advanced Backend (3–4 Weeks)
- Multi-tenancy enforcement
- Redis caching
- Background jobs
- Activity logging
- Stripe payments
Outcome: Production-grade backend
Phase 3 – Frontend (2–3 Weeks)
- Authentication UI
- Dashboard
- Project & task management
- API integration
Outcome: Usable admin dashboard
Phase 4 – Deployment & Polish (1–2 Weeks)
- Dockerize services
- CI/CD setup
- Environment configs
- Swagger API docs
- README documentation
Outcome: Deployed SaaS application
8. Resume Description (Example)
TeamFlow – Multi-Tenant SaaS Platform
- Designed and developed a scalable backend using NestJS and PostgreSQL
- Implemented JWT authentication, RBAC, and multi-tenant data isolation
- Integrated Redis for caching and background job processing
- Built Stripe-based subscription system with webhook handling
- Containerized services using Docker and deployed on cloud infrastructure
9. Rules to Follow (Very Important)
- ❌ Do NOT copy-paste AI-generated architecture blindly
- ✅ Design database schemas yourself
- ✅ Write business logic manually
- ✅ Use AI only for:
- Syntax help
- Code optimization
- Debugging guidance
10. Optional Advanced Enhancements
- API versioning (v1, v2)
- Feature flags
- OpenTelemetry
- System design documentation (PDF)
- Unit & integration tests
11. Final Note
Build ONE project deeply, not many projects superficially.
This project alone is enough to:
- Regain backend confidence
- Crack backend interviews
- Compete with 2–3 year experienced developers
Next Steps (Optional):
- Week-by-week learning roadmap
- Database schema design
- API design checklist
- Backend interview questions based on this project