The Tools Behind the Work

Every tool was chosen for a reason. Here is what we build with and why.

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Depth Over Breadth

The stack is intentionally narrow. We invest in understanding tools deeply, not chasing every new framework. That means fewer surprises and code that holds up over time.

The Stack

This is our go-to stack for most projects: the tools we know inside out and reach for by default. Other frameworks and languages are an option when the project calls for it.

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Svelte logo white

SvelteKit

Fast, lean, and built to get the best of both worlds. SvelteKit uses SSR (server-side rendering) for a fast first load and strong Core Web Vitals scores, then the client takes over to navigate subsequent pages as a SPA (single page application). No unnecessary JavaScript, no full page reloads, no compromises between performance and user experience. We use it for public websites, internal tools, and everything in between.

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Payload CMS icon

Payload CMS

A headless CMS built by developers, for developers. The entire content schema lives in TypeScript files checked into git. No GUI-only configuration that disappears when you lose access. Content editors get a clean, well-organized admin interface. We get full control over the data model.

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Python logo white FastAPI logo white

Python and FastAPI

When we build automations, data pipelines, or integration backends, Python is the tool. Pragmatic, broad library coverage, and readable a year later. FastAPI adds structure for production APIs without the boilerplate. This powers the work that often runs invisibly: syncing systems, processing webhooks, and replacing manual workflows.

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Vercel icon

Vercel

For company websites and CMS projects, Vercel handles hosting. Automatic preview deployments on every branch, global edge caching out of the box, and zero infrastructure to configure. It is the right fit for content-driven sites where fast delivery and reliable uptime are what matter.

Dual monitors showing code in a data center
PostgreSQL logo

PostgreSQL

The database behind every project that stores structured data. Reliable, battle-tested, and capable of handling anything from simple content tables to complex relational queries. For applications with higher usage, we run PostgreSQL on a dedicated server alongside PgBouncer for connection pooling, keeping performance predictable under load.

Curious About the Approach?

If you want to know how we can help you, we are happy to talk it through. Most choices come down to what matters for your use case, not what is popular.