Skip to content
SaaS onlyMulti-tenant design
Call now +1 (929) 450-3261
Quiet developer desk with a laptop seen from behind, keyboard and notebook

Tech stack

A SaaS tech stack built on common, well-supported tools

Next.js, Node.js, Python and PostgreSQL, with Stripe billing and CI/CD. We explain why we pick each tool and when we would pick something else.

  • Next.js and TypeScript front end
  • Node.js or Python back end
  • PostgreSQL as the core database

How do we choose a SaaS tech stack?

Most SaaS products run well on a small, common set of tools that many engineers already know. That matters because you will hire developers, change vendors and add features for years after launch. We lean towards mainstream, well-documented tools over novelty, and we explain the trade-offs in writing before the build starts.

Our usual starting point looks like this:

  • Next.js and React with TypeScript for the web application
  • Node.js (often NestJS) or Python (FastAPI) for the API and background jobs
  • PostgreSQL for the main database, with Prisma or plain SQL migrations
  • Stripe for subscription billing
  • Docker, CI/CD and a managed cloud host for deployment

This is a starting point, not a rule. If your team already runs Laravel, Rails or .NET, we will tell you when staying with it is the lower-risk choice.

What do we use for the front end?

We build the application interface with Next.js and React in TypeScript. One codebase can serve your public marketing pages, your sign-in flow and the logged-in product, which keeps small teams moving. TypeScript catches a large class of mistakes before they reach users, and the same types can be shared with the API.

For styling we use Tailwind CSS or a component library, with attention to keyboard use and readable contrast. Layout and flows are covered in more detail on our SaaS UI and UX design page.

When do we use Node.js and when Python?

Node.js with NestJS is our usual API choice. It shares a language with the front end, handles webhooks and real-time updates well, and gives a clear module structure as the product grows.

Python with FastAPI is our choice when the product leans on data processing, machine learning or language model features. Python has the strongest libraries for that work. See AI features for SaaS for how we scope those.

We start with a modular monolith where possible. Splitting into many services early adds cost and failure modes, so we do it only when a clear need appears, such as a heavy background workload that needs to scale on its own.

PostgreSQL is a relational database with real transactions, which suits accounts, subscriptions, permissions and anything involving money. It also supports row-level security, JSON columns and extensions such as pgvector for similarity search, so one database can cover a lot of ground.

We manage schema changes with versioned migrations, use connection pooling such as PgBouncer when traffic needs it, and set up automated backups. We use Prisma, or Supabase as a hosted option, when they fit the project. How customer data is separated inside the database is covered on our multi-tenant architecture page.

What about billing, hosting and monitoring?

Subscriptions, invoices and customer portals run on Stripe, with webhook handling written to cope with retries and out-of-order events. Transactional email goes through a provider such as Resend or SendGrid.

Hosting depends on budget and requirements. We deploy to AWS, Google Cloud, Vercel or a plain virtual server, with containers, automated tests and a CI/CD pipeline. We add error tracking, logs and uptime alerts so problems are seen early.

You hold the repository and the cloud accounts, and the providers bill you directly for their services.

  • SaaS only
  • Multi-tenant design
  • Stripe billing
  • Client owns the code

How it works

  1. Message us on WhatsApp or Telegram

    Describe the product, the customers and the features that matter most.

  2. We scope and quote

    You get the plan, the architecture outline and a written price range.

  3. We build and ship

    Working builds each sprint, then a tested production launch.

Questions about saas dev agency in United States

Do you use a boilerplate or starter kit?

Sometimes. For a lean MVP we may start from a well-known starter for authentication, billing and layout, because it saves time. We review the code before relying on it, and we replace parts that do not fit your product. We tell you up front what is reused so you know what you are getting.

Can you work in the stack we already have?

Yes, in many cases. If your team already works in a stack with a healthy ecosystem, extending it is often cheaper and safer than a rewrite. Send us a short description of what you run, and we will say honestly whether we are a good fit or whether another team suits it better.

Will the stack limit how far we can scale?

No stack scales by itself. Growth depends on how the data model, queries, caching and infrastructure are designed. The tools above are widely used for products of many sizes, but we do not promise a specific load figure. If you have a target, we can design towards it and test against it.

Who owns the code and accounts?

You do. The repository, the cloud accounts and the third-party accounts you pay for are in your name. We work in them with the access you grant, and we remove that access when the project ends. We sign an NDA on request, so your product idea stays private.

How much does a SaaS build cost?

Typical ranges are $7,500 to $12,500 for a lean MVP sprint of about 4 weeks, and $18,000 to $35,000 for a production B2B SaaS over 8 to 12 weeks. Both depend on scope and timely feedback, and a written quote follows scoping. See pricing for the full breakdown.

Ready to scope your SaaS?

Message us on WhatsApp or Telegram with the product idea and the customers it is for.

Chat on WhatsApp