Tech Stack

We don't pick tools to impress anyone. We pick them because they work well together, they're maintainable long-term, and they match the scale of what's being built. Here's what we work with and why.

Our frontend stack is built for speed and clarity
We build frontends with React and Next.js. React gives us a component model that scales cleanly — you can move fast early and refactor without rewriting everything when the product grows. Next.js handles routing, server-side rendering, and performance concerns so we're not solving those from scratch on every project. For styling, we use Tailwind CSS.

It keeps style decisions close to the component, speeds up iteration, and makes design systems easier to maintain. We don't use it because it's trendy — we use it because it reduces the gap between what's designed and what gets built.

Our backend is built to be reliable and easy to hand off
We use Node.js with TypeScript on the backend. TypeScript catches errors before they reach production and makes the codebase easier to reason about as it grows. Combined with well-structured REST or GraphQL APIs, it produces backends that new developers can onboard to quickly.

For databases, we default to PostgreSQL. It's been around long enough that its failure modes are well understood, and it handles relational data well without requiring a specialized team to operate it. We use Supabase to reduce infrastructure overhead on early-stage products — it gives us auth, storage, and real-time out of the box without the setup cost.

We deploy on infrastructure that doesn't require a DevOps team
Most early-stage products don't need complex infrastructure — they need infrastructure that works and doesn't demand constant attention. We deploy frontends to Vercel and backends to Railway or Render depending on the project. These platforms handle CI/CD, environment management, and scaling so the team can stay focused on the product.

As products grow, we introduce more structure — containerization with Docker, managed services on AWS or GCP where the use case justifies it. We don't over-engineer infrastructure early. We build for the current scale and make it straightforward to evolve as usage grows.