BitPixel

Node.js development for APIs that hold up under real traffic

We build backends in Node.js and TypeScript: the APIs behind web and mobile apps, real-time services, integrations and background jobs — with Express for small services and NestJS when structure matters.

Node.js logo

About Node.js

One language across the whole product

Node.js runs JavaScript on the server, which means the same language — and with TypeScript, the same types — from the database to the button. A change to an API shows up as a compile error in the app that consumes it, before anyone ships a bug.

It is particularly good at what most product backends actually do: handle many simultaneous requests that spend their time waiting on a database or another service. For the rare workload that is genuinely CPU-heavy, we will say so and reach for a different tool.

Why Node.js

What Node.js gives your product

  • Shared types, end to end

    TypeScript across front end and back end removes a whole class of integration bugs.

  • Built for I/O

    Handles large numbers of concurrent connections efficiently — ideal for APIs and real-time features.

  • A huge ecosystem

    Well-maintained packages for almost every integration you will need.

  • One team

    Front-end and back-end work can be done by the same engineers, which keeps small teams moving.

What we build

What we build with Node.js

  • REST and GraphQL APIs

    Versioned, documented APIs for web and mobile clients.

  • Real-time services

    WebSocket-based features such as live dashboards, chat and notifications.

  • Integrations and webhooks

    Connecting payment providers, CRMs and third-party services reliably.

  • Background jobs

    Queues and scheduled work for emails, reports and data processing.

Services

Services we deliver with Node.js

All services

Insights

Reading on Node.js

FAQ

Questions about Node.js development

Something we have not covered? Ask us directly.

Express or NestJS?

Express is minimal and ideal for a small service. NestJS adds structure — modules, dependency injection, validation — which pays off as a codebase and a team grow. We choose based on how big the backend is likely to become.

Is Node.js suitable for large applications?

Yes, with the right structure. Typed code, clear module boundaries, automated tests and proper monitoring matter far more than the runtime. Node.js runs some of the largest products on the web.

Which databases do you use with Node.js?

PostgreSQL is our default, with MySQL and MongoDB where they fit the data better, and Redis for caching and queues.

Have a Node.js project in mind?

Tell us what you're building and we'll come back with a scope, a timeline and a fixed price.