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Choosing the Right Tech Stack for Your Startup in 2026

A no-nonsense guide to picking technologies that work. We share what we use and why.

MS

Maeskian

Building products that matter. Based in India, working with founders worldwide.

March 1, 20268 min read

The Problem with Tech Stack Debates

If you've spent any time on Twitter or Reddit, you've seen developers argue endlessly about which framework is best. React vs Vue. Node.js vs Python. PostgreSQL vs MongoDB.

Here's what I've learned after building dozens of products: it doesn't matter as much as people think.

What matters is:

  • Can you build and ship quickly?
  • Will it scale when you need it to?
  • Can you find developers to maintain it?

    What We Use (and Why)

    #

    Frontend: Next.js

    Next.js is our go-to for almost everything. Here's why:

    - Server-side rendering for better SEO and initial load times

    • File-based routing that makes organizing code intuitive
    • Built-in API routes so you can start without a separate backend
    • Excellent documentation and large community

      Could React with Vite work? Sure. But Next.js removes decisions and lets us focus on building.

      #

      Backend: Node.js with TypeScript

      We write everything in TypeScript. Yes, it's more setup initially. But:

      - Fewer bugs in production

    • Better editor support
    • Easier to maintain as the codebase grows
    • Same language as frontend (faster context switching)

      #

      Database: PostgreSQL

      Unless there's a specific reason not to, PostgreSQL is our answer. It's:

      - Battle-tested and reliable

    • Great for relational data (which most apps need)
    • Supported by every major cloud provider
    • Free to use

      We use Prisma as our ORM because it works well with TypeScript and generates types automatically.

      #

      Deployment: Vercel or AWS

      For MVPs, Vercel is hard to beat:

    • Deploy from Git push
    • Automatic SSL
    • Edge functions
    • Zero configuration

      For more complex needs (multiple services, custom infrastructure), we use AWS with Docker.

      What About AI?

      If you need AI features, we integrate with:

    • OpenAI API for text generation and chat
    • Pinecone or Supabase for vector storage
    • LangChain for more complex AI workflows

      Most MVPs don't need custom AI models. API integrations are enough to validate the idea.

      Common Mistakes

      #

      1. Over-engineering for scale

    You don't need Kubernetes when you have 100 users. Start simple, optimize when you have real traffic.

    #

    2. Choosing cool over practical That new framework with 500 GitHub stars might be exciting, but can you find developers who know it? Will it be maintained in 2 years?

    #

    3. Not thinking about developer experience If deployment is painful, you'll deploy less often. If testing is hard, you'll skip tests. Choose tools that make the right thing easy.

    Our Recommendation

    If you're starting a new project today, here's what I'd suggest:

    - Frontend: Next.js with TypeScript

    • Styling: Tailwind CSS
    • Database: PostgreSQL with Prisma
    • Auth: NextAuth.js or Clerk
    • Deployment: Vercel
    • Analytics: Posthog or Mixpanel

      This stack will handle 99% of MVP requirements. You can always change things later when you have specific needs.

      Questions?

      Every project is different. If you're unsure about the right approach for your specific case, let's talk. I'm happy to share my thoughts—no strings attached.

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