We have worked with over twenty startups at various stages, and a clear pattern emerges: the technical decisions made in the first six months of a product's life have an outsized impact on the company's ability to scale, hire, and raise funding. Choose well, and you build on a solid foundation. Choose poorly, and you spend your Series A money on a rewrite.
The most consequential early decisions are: your primary programming language and framework (which determines your hiring pool), your database architecture (which determines your scaling ceiling), your deployment infrastructure (which determines your operational overhead), and your approach to testing and documentation (which determines your team's ability to move fast without breaking things).
Our recommendation for most startups: pick boring, proven technologies. Next.js and TypeScript for the frontend and API. PostgreSQL for the database. Vercel or AWS for hosting. Jest and Playwright for testing. These are not exciting choices, but they are choices that will serve you well from 10 users to 10 million users.
The startups that get in trouble are the ones that choose technologies based on hype rather than fit: adopting microservices before they have product-market fit, choosing NoSQL databases for clearly relational data, or building custom infrastructure when managed services would do. Optimize for shipping speed and hiring ease in the early days — you can always add complexity later.
Need help with your project?
Our team can help you implement the strategies discussed in this article.
Get in Touch