Best Tech Stack for a SaaS MVP

The stack above isn't a ranking — it's a set of defaults that happen to compose well. The real decision isn't "which tool is best," it's which tradeoffs you can live with for the next 18 months. An MVP stack is a bet on your future self, not a benchmark winner.

Three questions settle most of it:

• Web-first or mobile-first? This is the only choice that should make you reconsider the whole foundation. For web SaaS, Postgres + Row-Level Security is a natural fit. For a mobile-first product where the app is the product, Firebase earns its place — I shipped BookBed on Flutter + Firebase + Stripe for exactly that reason. Don't fight your primary platform.
• Will someone else read this code? If you plan to hire or hand off, TypeScript and a SQL database with explicit schemas beat a NoSQL store with implicit shapes. Every type you skip becomes a question someone asks you later.
• What's the riskiest part of the product? Put your strongest, most boring tool there. If billing is core, Stripe is non-negotiable. If real-time collaboration is the whole pitch, validate that one piece before you commit to a stack around it.

Pick the foundation deliberately. Everything else is swappable later.

Most stack debates optimize for the wrong things. Here's what actually moves the needle on shipping a real product.

Worth caring about:

• Time-to-first-deploy. How fast can you get a live URL with auth and a database? Days of setup are days not spent on the product.
• One mental model, not five. Server components, API routes, and a single database client beat a microservice diagram you drew before you had a user.
• Escape hatches. Managed Postgres means you can pg_dump and walk away. Lock-in is a tax you pay later — check the exit before you check the features.
• Operational quiet. A stack a solo developer can run without a DevOps hire is worth more than one that's marginally faster under load you don't have yet.

Mostly noise at MVP stage:

• Raw benchmarks. "Handles 50k requests/sec" is irrelevant when you have 50 users. You'll re-architect long before you hit the wall.
• Trend cycles. A framework being fashionable this quarter says nothing about whether it'll ship your product.
• Premature multi-region, Kubernetes, event buses. These solve scale problems. An MVP's problem is finding out if anyone wants it.

Optimize for iteration speed and a clean handoff. Performance tuning is a good problem to have — it means you got users first.

The expensive mistakes I see repeatedly:

1. Building tenant isolation in application code. Scattering if (user.orgId === row.orgId) checks across the codebase is how data leaks happen. Push isolation into the database with Row-Level Security so the data layer enforces it, not your memory. This was the deciding factor in choosing Supabase for Callidus (clinic SaaS, React + Firebase) — patient data isolation belongs in the database, not in scattered guards.
2. Polling instead of reacting. With billing, don't poll Stripe for subscription state — listen to webhooks (invoice.paid, customer.subscription.deleted) and treat the event as the source of truth. Polling drifts; events don't.
3. Over-engineering day one. A message queue and three services for a product with zero users is a hobby, not a business. Ship the monolith.
4. Skipping types to "go faster." You go faster for two weeks, then every refactor becomes archaeology.

When a simpler option is genuinely enough: not every project needs the full stack. Pizzeria Bestek (React + Supabase) skipped Stripe entirely — the business took orders, not online payments, so a billing integration would have been complexity for nothing. If you're not charging in-app yet, don't wire up subscriptions. If it's an internal tool, drop server-side rendering and ship a plain SPA.

The honest version: this stack ships production SaaS without the parts you'd otherwise rebuild from scratch, and without the coordination overhead of a typical agency. But the fastest stack is the one with the fewest pieces you actually need. Add tools when a real problem demands them — not before.