The MVP tech stack that actually works in 2026
Every year someone publishes a "best tech stack" article that reads like a shopping list of whatever's trending on Hacker News. Half the recommendations are tools the author has never shipped anything with. The other half are overengineered for anything smaller than a Series B company.
I'm going to skip that. Here's the stack I actually use to ship MVPs. It's the same stack behind adworthy.ai, admix.software, and every product I've built in the past year. It works. It's fast. It costs almost nothing until you're making money.
The stack
Next.js for the framework. Supabase for auth, database, and storage. Stripe for billing. Vercel for deployment. Claude skills for building it all without losing your mind.
That's the whole list. Five things. Let me explain why each one is there and what I tried before landing on it.
Next.js: one framework, zero excuses
I've built MVPs in Rails, Django, Express, Laravel, and plain React with a separate Node backend. Every time I split the frontend and backend into separate repos, I regretted it. Two deployment pipelines. Two sets of environment variables. CORS issues. API versioning headaches.
Next.js kills all of that. Your UI and your API live in the same project. Server components handle data fetching without client-side loading spinners everywhere. API routes give you a backend without standing up a separate server. And the App Router has matured enough that the rough edges from 2024 are smoothed out.
The other reason I landed on Next.js: it's the framework AI agents understand best. When you feed a skill file to Claude Code, the generated Next.js code is consistently better than the output for other frameworks. The agent has seen more Next.js patterns in training, so the architecture decisions are sharper.
Supabase: the backend you don't have to build
Before Supabase, the "build a backend" phase of an MVP was a week by itself. Set up a database. Write migration scripts. Build auth from scratch or wire up Auth0. Create an admin panel to manage data. Set up row-level security.
Supabase gives you all of that out of the box. PostgreSQL database with a nice UI. Auth with email, OAuth, and magic links. Real-time subscriptions if you need them. Storage for file uploads. Edge functions for serverless logic.
The free tier is absurdly generous: 50,000 monthly active users, 500MB database, 1GB storage. That's enough to launch, validate, get your first hundred customers, and still not pay a dime.
I switched from Firebase to Supabase in early 2025 and never looked back. Firebase's pricing model is a landmine—one bad query can spike your bill. Supabase is PostgreSQL under the hood, which means predictable pricing and actual SQL when you need it.
Stripe: just do billing right the first time
I've seen founders waste weeks building custom billing systems. Or use a cheaper alternative to Stripe and spend even longer debugging payment edge cases.
Stripe is the default for a reason. The APIs are clean. The documentation is the best in the industry. Webhooks work reliably. And every AI coding agent knows Stripe's patterns inside out because there are millions of integrations to learn from.
The SaaS Builder skill includes Stripe billing patterns that handle checkout sessions, subscription management, webhook verification, and the customer portal. You tell Claude Code "add Stripe billing with a free and pro tier" and it builds the whole flow in under an hour.
Don't overthink billing. Use Stripe. Move on.
Vercel: deploy and forget
I spent years managing AWS infrastructure. EC2 instances, load balancers, SSL certificates, nginx configs. It was a full-time job that had nothing to do with building products.
Vercel is "git push and it's live." Connect your GitHub repo, set your environment variables, push code. Done. Preview deployments for every pull request. Automatic SSL. CDN in front of everything. Serverless functions that scale without you thinking about it.
The free tier handles most MVPs comfortably. When you need to scale, the Pro plan is $20/month. That's less than what I used to spend on AWS in a single day for a comparable setup.
Claude skills: the multiplier
The stack above is solid on its own. But without good instructions, your AI agent will still produce mediocre code. It'll use outdated patterns. It'll set up auth in a way that works for a tutorial but falls apart in production. It'll forget error handling.
A Claude skill file fixes that. It's a structured instruction set that tells your AI agent exactly how to architect a specific type of software using patterns from real shipped products.
The SaaS Builder skill is the one I reach for on every new project. It encodes the architecture decisions for auth, billing, dashboards, API design, and deployment—all optimized for the Next.js + Supabase + Stripe + Vercel stack. Instead of your agent improvising, it follows a playbook that's been tested in production.
What to avoid
Don't use a monorepo tool for your MVP. Turborepo and Nx are great for large teams. For an MVP, they're overhead that slows you down.
Don't pick a database based on hype. Planetscale had its moment. CockroachDB sounds cool. For an MVP, PostgreSQL through Supabase is more than enough. You can migrate later if you ever actually need to, which you probably won't.
Don't use Kubernetes. I shouldn't have to say this, but I've seen seed-stage founders deploy to K8s clusters. Your MVP doesn't need container orchestration. It needs to be live.
Don't build a microservices architecture. One repo. One deployment. One database. Split things up when you have the traffic and team size to justify it, not before.
Don't use GraphQL for an MVP. REST is simpler, debuggable, and every AI agent generates better REST code than GraphQL code. Save the fancy stuff for later.
The cost breakdown
Here's what this stack actually costs at launch:
- Next.js: free (open source)
- Supabase: free tier
- Stripe: 2.9% + 30 cents per transaction (no monthly fee)
- Vercel: free tier
- SaaS Builder skill: $29 (one time)
Total monthly cost at launch: $0 plus the $29 skill file. You start paying for infrastructure when your product is generating revenue. That's how it should be.
Compare this to the $200-500/month some founders burn on AWS, Heroku, or Railway before they have a single user. Or the $10k-$50k they spend on an agency. The math is straightforward.
Start building
This stack works. I've shipped multiple products with it and watched other founders do the same. It's fast to set up, cheap to run, and scales when you need it to.
Grab the SaaS Builder skill, open Claude Code, and start building. You can be live by this weekend.
Frequently Asked Questions
Why Next.js over other frameworks for MVPs?
Next.js combines frontend and backend in one project, which eliminates the overhead of managing two separate codebases. Server components, API routes, and built-in optimization mean less setup. It's also the framework AI coding agents produce the best output for, which matters when you're using skill files.
Is Supabase production ready?
Yes. It's PostgreSQL under the hood, which is one of the most battle-tested databases on the planet. Supabase adds auth, real-time, storage, and edge functions on top. Companies with far more traffic than your MVP run on it in production.
How much does this stack cost to run?
At launch, close to zero. Vercel and Supabase both have free tiers that cover most MVPs. Stripe only charges per transaction. The only upfront cost is the $29 skill file. You start paying for infrastructure when you're generating revenue.
Can this stack scale beyond an MVP?
Absolutely. Next.js on Vercel auto-scales. PostgreSQL handles millions of rows without breaking a sweat. Stripe processes billions in annual payments. This stack powers companies well past the MVP stage—you won't need to rewrite when you grow.