The Pragmatist's Guide
Choosing a tech stack for a startup is fundamentally different from choosing one for an enterprise. Startups optimize for speed of iteration and time-to-market, while enterprises optimize for scalability and maintainability. The best startup stacks deliver both — but only if you resist the temptation to over-engineer.
Boring Technology Wins
The most successful startups we've worked with chose "boring" technology — proven frameworks with large communities, extensive documentation, and abundant talent pools. Innovation should happen in your product, not in your infrastructure.
- Framework: Next.js or Remix for full-stack TypeScript. The productivity gains from a unified language across frontend and backend are substantial
- Database: PostgreSQL for almost everything. It handles relational data, JSON documents, full-text search, and even time-series data competently
- Infrastructure: Managed services (Vercel, Railway, Supabase) over self-managed infrastructure until you have a dedicated DevOps team
When to Add Complexity
Add infrastructure complexity only when you have evidence that your current setup can't handle your needs. Premature optimization — whether it's microservices, Kubernetes, or event sourcing — is the leading cause of startup technical debt that doesn't correlate with business value.
The One Rule
If you remember nothing else: choose technologies your team already knows well. The productivity difference between a team working in familiar tools versus learning new ones typically dwarfs any theoretical advantage of the "better" technology.
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