Choosing a Tech Stack: A Guide for Non-Technical Founders

Choosing a tech stack means deciding which programming languages, frameworks, database and hosting infrastructure your software will be built with. The good news for a non-technical founder or product owner is this: the right decision isn't about picking the newest or most popular technology. It's about choosing something widely used, well documented, familiar to your team and easy for other developers to take over later. In this post, we explain the parts of a tech stack in plain language and share questions you can ask to evaluate the decision.

What does a tech stack include?

A web application's tech stack is usually made up of these layers:

• Frontend: The interface users see in the browser. Libraries like React, Vue or Svelte, and frameworks built on them such as Next.js or Nuxt, live in this layer.
• Backend: The server side, where business rules run and data is processed. Ecosystems like Node.js, Python, PHP, Go, Java or .NET are common.
• Database: Where data is stored. Relational databases like PostgreSQL and MySQL are a safe default for most business applications; document-based or real-time databases are also used for specific needs.
• Hosting and infrastructure: The environment the application runs in. This could be a managed platform, a cloud provider or your own servers.
• Third-party services: Ready-made services for authentication, payments, sending email, file storage, error tracking and analytics.

If you also have a mobile app or browser extension, their technologies are added to the stack too.

Why does choosing a tech stack matter?

A technology decision affects the years well beyond the first release:

• Hiring and handover: It's easy to find developers to take over software built with a widely used technology. With a little-known technology, a change of team can be a serious risk.
• Maintenance cost: Maintenance is more predictable with technologies that are actively developed and get regular security updates.
• Development speed: In a mature ecosystem, ready-made libraries, documentation and community support speed up development.
• Hosting and operating costs: Some architectures require less server management; others demand more infrastructure know-how.

On the other hand, hunting for the "fastest" or "most scalable" technology for a first release is usually unnecessary. Nearly all widely used technologies are fast and scalable enough for the vast majority of business applications. Performance problems usually come from data model and query design, not from the choice of language.

What makes a good tech stack?

When evaluating a proposal, look at these criteria:

1. Popularity: Does the technology have a large community of users and developers?
2. Maturity and support: Is it actively developed, with regular releases and security updates?
3. Team experience: Has the team building the project shipped production work with this technology before?
4. Fit for purpose: Does it suit special requirements like real-time features, heavy data processing or AI integration?
5. Simplicity: Is the number of pieces in the stack proportional to the need? Every extra service adds maintenance and monitoring overhead.
6. Portability: Is there excessive dependence on one provider? How hard would it be to switch providers later?

Approaches to avoid

• Chasing trends: Brand-new technologies with small communities can be exciting, but they may not be supported a few years from now.
• Overly complex architecture: Splitting a small product into many separate services (microservices) makes development and operations needlessly harder. For most new products, a single well-organized application is healthier.
• Writing everything from scratch: Building authentication, payments or email infrastructure from scratch creates security risk and wastes time. Mature services are usually more reliable.
• One person's pet choices: An undocumented setup that only one developer understands can lock up the project when that person leaves.

Questions you can ask as a non-technical person

To understand and evaluate the tech stack your team proposes, ask these questions. You don't need to understand the technical details of the answers; look at whether they're clear and well reasoned.

• Why were these technologies chosen? What were the alternatives?
• Are there projects already in production built with this stack?
• If I wanted to work with a different team tomorrow, would it be easy to find developers to take over this code?
• Where will it be hosted, and what factors drive the monthly cost?
• Which third-party services will be used? What happens if one of them shuts down or changes its pricing?
• How will database backups be taken, and who will hold them?
• Whose name will the source code, server accounts and domain be under?

That last question isn't technical, but it's one of the most important. Opening hosting, domain and service accounts in your company's name and keeping admin access yourself prevents access problems down the road.

Example: a simple stack for a typical SaaS product

To make this concrete, here's a simple setup often chosen for a mid-sized B2B SaaS product. It's not a recipe, just a starting point for evaluation:

• Frontend and server side: A web framework written in TypeScript that can host both the interface and server functions (for example, Next.js).
• Database: A managed PostgreSQL service.
• Authentication: A mature authentication service or the framework's widely used auth library.
• Payments and subscriptions: A payment provider that supports subscription management.
• Email: A delivery service for transactional email.
• Hosting: A managed platform with automatic deployments and preview environments.
• Monitoring: Error tracking and basic performance monitoring.

The advantages of this setup are that it has few moving parts, uses widely adopted technologies and lets you write both the frontend and the server side in a single language (TypeScript). At Weras Labs, we mostly favor simple, common, easy-to-hand-over setups like this for web projects.

Document the technology decision

Whatever stack you choose, it's a good habit to write down the reasoning in a short document. It should list the chosen technologies, the alternatives, why the choice was made and any known limitations. This document helps developers who join the project later understand the decisions and cuts short the "why did we do it this way?" debates.

The document doesn't need to be long. For example: "PostgreSQL was chosen as the database. A document-based database was considered as an alternative, but because our data is largely relational (customers, orders, invoices) and our reporting needs are high, a relational database was preferred. Known limitation: at very large scale, an additional caching layer may be needed for read load." Even a note this short makes it easier to remember the reasoning months later.

Conclusion

Choosing a tech stack can seem intimidating for a non-technical product owner, but with the right questions it's a decision you can evaluate. A widely used, mature setup that your team knows well and that can be handed over is the safest choice for most projects. If you'd like to review the technologies proposed for your project together, take a look at how we work on our services page or get in touch.