The technology landscape for building SaaS applications has evolved dramatically. New tools and platforms enable small teams to build applications that would have required enterprise budgets just five years ago. This guide shares an opinionated, battle-tested stack for modern SaaS development.
The Modern SaaS Stack
After building numerous SaaS applications, I've converged on a stack that optimizes for developer productivity, operational simplicity, and the ability to scale. Here's the current recommendation:
The recommended modern SaaS stack:
- Frontend: React + TypeScript + Vite (or Next.js for SSR needs)
- Styling: Tailwind CSS + shadcn/ui for rapid, consistent UI
- Backend: Supabase (PostgreSQL + Auth + Edge Functions + Storage)
- Payments: Stripe (global) or Paddle/LemonSqueezy (simpler tax compliance)
- Email: Resend for transactional, with dedicated ESP for marketing
- Hosting: Vercel (frontend) + Supabase (backend) or Railway for custom needs
- Monitoring: Vercel Analytics + Sentry for errors + custom dashboards
This stack is not the only valid choice, but it represents a sweet spot: mature enough for production, simple enough for small teams, and scalable enough to grow. Let me explain the reasoning behind each choice.
Why Supabase for Backend
Supabase has become the default backend choice for our projects. It provides PostgreSQL (a production-grade database), authentication, file storage, edge functions, and real-time subscriptions—all managed, so the team focuses on building features rather than managing infrastructure.
"The best infrastructure is infrastructure you don't have to think about. Supabase lets us build features instead of debugging Kubernetes."
Key Supabase features we leverage:
- Row-Level Security (RLS): Database-level access control that's more secure than application-level checks
- Edge Functions: Deno-based serverless functions for custom logic, deployed globally
- Realtime: Built-in WebSocket subscriptions for live updates without additional infrastructure
- Auth: Multiple providers (email, OAuth, magic links) with JWT tokens and role management
- Storage: S3-compatible storage with RLS integration for secure file access
Database Design Principles
Good database design prevents countless problems downstream. Key principles we follow:
Multi-Tenancy from Day One
Even if you're building for a single customer initially, design for multi-tenancy. Add organization_id to every table that needs it. Implement RLS policies ensuring data isolation. Adding multi-tenancy later is painful—retrofitting RLS across an existing schema is error-prone and time-consuming.
Soft Deletes and Audit Trails
Never hard-delete data in a SaaS application. Add deleted_at timestamps for soft deletes. Maintain audit logs of significant actions. This enables recovery from user mistakes, investigation of issues, and compliance with data retention requirements.
Optimistic Indexing
Add indexes based on expected query patterns, not just observed slow queries. Index foreign keys, commonly filtered columns, and sort columns. PostgreSQL's partial indexes are particularly useful for multi-tenant applications where most queries filter by organization_id.
Frontend Architecture
The frontend landscape has stabilized around React and TypeScript. Our preferred setup uses Vite for fast development, React Query for data fetching, and Zustand for state management when needed.
Frontend best practices:
- TypeScript everywhere: The upfront investment pays off in fewer bugs and better IDE support
- Component-driven design: Build a library of reusable components before building pages
- React Query for server state: Let React Query handle caching, retries, and background updates
- Minimal client state: Most state should be server state managed by React Query, not Zustand/Redux
- Mobile-first responsive: Design for mobile constraints first, expand for desktop
Authentication and Authorization
Authentication is where SaaS companies frequently make security mistakes. Leverage proven solutions rather than building custom auth.
Supabase Auth handles the authentication layer—user login, session management, and token issuance. For authorization (what authenticated users can do), implement Row-Level Security policies in the database. This defense-in-depth approach means even a compromised API endpoint cannot access unauthorized data.
-- Example RLS policy for organization-based access control
CREATE POLICY "Users can only view own org data"
ON customers FOR SELECT
USING (
organization_id IN (
SELECT organization_id FROM organization_members
WHERE user_id = auth.uid()
)
);Payments and Subscriptions
Stripe remains the standard for SaaS payments. Key implementation advice:
Payment implementation best practices:
- Use Stripe Checkout: Don't build custom payment forms unless absolutely necessary
- Webhook-first architecture: Treat webhooks as the source of truth for subscription state
- Store minimal data locally: Keep subscription IDs and status, but query Stripe for details
- Handle upgrade/downgrade gracefully: Prorate charges and adjust access immediately
- Dunning management: Configure Stripe's Smart Retries and dunning emails
Scaling Considerations
Premature optimization is still the root of all evil. Most SaaS applications never face true scaling challenges—the stack described here handles thousands of concurrent users without issue. However, knowing where bottlenecks will appear enables preparation.
Common scaling bottlenecks and solutions:
- Database queries: Optimize queries before adding replicas; most 'scaling' problems are really query problems
- Real-time connections: Supabase's realtime handles millions of connections; if needed, consider dedicated solutions
- Edge functions: Deploy globally to reduce latency; implement caching for expensive operations
- File storage: Use CDN caching for public assets; implement signed URLs with appropriate TTLs
- External API calls: Implement caching and rate limiting for calls to third-party services
Developer Experience
Productivity multipliers deserve investment. A few hours setting up tooling saves countless hours over the project lifetime.
Developer experience investments that pay off:
- TypeScript strict mode: Catch errors at compile time rather than production
- ESLint + Prettier: Automated code consistency without style debates
- Husky pre-commit hooks: Prevent broken code from reaching repositories
- Storybook: Component documentation and visual testing in isolation
- CI/CD pipelines: Automated testing and deployment on every push
Conclusion
The recommendations here are opinionated but flexibly so. The specific tools matter less than the principles: choose managed services over DIY, build for multi-tenancy, prioritize security through RLS, and invest in developer experience. With this foundation, small teams can build sophisticated SaaS applications that scale with their business.
Written by Syed Husnain Haider Bukhari
AI Engineer, Full-Stack Developer, and Founder of Revolutionary Technologies. Building AI-powered solutions for businesses across Pakistan and beyond.
Get in touch →Enjoyed this article?
Let's discuss how AI and technology can transform your business.
Start a Conversation