For most new SaaS products, choose mainstream, well-documented technology your team already knows: a popular web framework, a relational database such as PostgreSQL, a managed cloud platform, and proven services for payments, email and authentication. The best stack is the one that lets you ship the first version quickly, hire for it easily, and change it safely, not the newest one.
Key takeaways
- Optimise for speed of learning from customers, not theoretical scale.
- Choose boring, popular tools: they are easier to hire for and better documented.
- Design tenancy, permissions and billing early; they are expensive to retrofit.
- Buy commodity capabilities such as payments, email and authentication.
What matters most when choosing a stack?
- Team familiarity: the stack your engineers know well is usually the fastest.
- Hiring: you will need more developers later, so pick widely used tools.
- Ecosystem: libraries, integrations and answers to common problems.
- Hosting and operations: how much infrastructure you will have to run yourself.
- Longevity: technologies with large communities and stable releases.
Which frontend and backend should you use?
A common, effective choice is a TypeScript stack: React with a framework such as Next.js for the web application, and Node.js for the API, sharing one language across the product. Python with Django or FastAPI is an equally sound choice, especially when the product leans on data processing or machine learning. What matters more than the choice is consistency and a clean separation between the user interface, the business logic and the data.
Which database should a SaaS product start with?
Start with a relational database, usually PostgreSQL. SaaS data is relational by nature: customers have users, users have roles, accounts have subscriptions and invoices. PostgreSQL handles this well, supports JSON for flexible fields, and has extensions for search and vector embeddings if you add AI features later.
How should you handle multi-tenancy?
Decide early how each customer’s data is kept separate. The most common approach for a new product is a shared database where every record carries a tenant identifier, enforced consistently in queries or with database row-level security. Separate databases per customer give stronger isolation but cost more to operate; they suit products with strict enterprise or compliance requirements.
What should you buy instead of build?
- Payments and subscriptions: Stripe or Razorpay.
- Authentication and single sign-on: a proven auth library or service.
- Transactional email and notifications: a dedicated email provider.
- Error tracking and monitoring: a hosted observability tool.
- File storage: managed object storage from your cloud provider.
Where should a SaaS MVP be hosted?
Use managed services so the team spends time on the product, not on servers: a platform for the web application, a managed PostgreSQL database, and object storage, all defined as code so environments are reproducible. Major cloud providers such as AWS all work; choose based on where your customers and data must be, and keep the setup portable.
Your first stack only has to survive until you know what customers really want. Make it easy to change.
Mistakes to avoid
- Splitting into many microservices before the product has customers.
- Choosing a niche language nobody else on the market can maintain.
- Leaving tenancy and permissions until after the first enterprise customer asks.
- Building your own billing, authentication or email delivery.
- Hosting in accounts that are not owned by the company.