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Web DevelopmentMobile Development UX/UI DesignStaff Augmentation CTO as a ServiceDedicated TeamLow-Code DevelopmentWe use a focused technology stack to build scalable web, mobile, fintech, and Web3 products with faster delivery and long-term maintainability.
Working with a focused set of technologies allows deeper engineering expertise, more consistent architecture decisions, and better long-term maintainability across projects.
A consistent stack helps engineers move between projects faster, understand existing systems more easily, and spend less time adapting to unfamiliar tools.
Using fewer technologies reduces fragmented infrastructure, simplifies scaling and hiring, and makes ongoing product support more predictable over time.
You can reuse and improve patterns for things like authentication, payments, dashboards, integrations, notifications, and real-time features across different products and industries.

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Tailwind CSS

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Remix.js

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MUI

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Redux

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Bootstrap

A cryptocurrency trading platform that allows users in Iceland to securely trade and manage digital assets.


An Uber-like app that connects charter flight pilots with travelers, making it easier to book and share the cost of flights to the Bahamas.

An e-commerce platform for selling pharmaceutical products, supplements, and sports nutrition with complex discount logic and multiple payment options.
Talk through your product, current stack, or technical challenges with engineers experienced in React, Next.js, Node.js, and React Native.
Yes, we sometimes use other technologies for integrations, AI features, blockchain, and other specific platform needs. Still, for most full projects, our main stack gives the best mix of scalability, speed, and easy long-term maintenance.
Yes, we can. When we take over a project, we usually start with a code audit, review the documentation, run a stabilization sprint, and then provide ongoing development support. This often happens as part of staff augmentation or when working as a dedicated team.
Yes, we use AI in both our client projects and our own processes. This covers AI-powered features, automation, copilots, document processing, and tools like Cursor and GitHub Copilot that help with development.
By focusing on a smaller set of technologies, we build deeper expertise, onboard faster, and keep project quality high. It also makes long-term maintenance simpler and avoids having a mix of different systems across projects.
We typically use PostgreSQL when we need to handle structured data and run complex queries. MongoDB works well for projects that need flexible schemas or are based on documents. For caching, queues, and real-time features, we often choose Redis.
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