Development
Node.js development
APIs, real-time systems and integrations in Node.js and TypeScript that stay fast under load.
In short
Our Node.js work covers REST and GraphQL APIs, real-time features over WebSockets, webhook-heavy integrations and background workers, all in TypeScript with typed validation at every boundary. A new API or integration layer usually takes six to seven weeks, load testing included, and fixed-scope builds start from $5k.
Backends that are quick to build and quiet to run.
Node.js is our default for APIs, real-time features and integration-heavy backends. One language across front and back, a huge ecosystem, and excellent performance for I/O-bound work like chat, notifications and webhooks.
We've built Node.js systems since the early days: payment and exchange backends, blockchain indexers, WhatsApp messaging platforms, workflow engines and the APIs behind mobile apps. Today we write them in TypeScript, with typed validation at every boundary.
Whether you need a new API, a real-time feature with WebSockets, or a tangle of third-party integrations made reliable, we design for retries, observability and the day traffic doubles.
Is this for you?
You'll get the most out of this if
- You need an API for a web or mobile app
- You're adding real-time features like chat, presence or live updates
- Your product depends on many third-party APIs and webhooks
- Background jobs keep failing silently
- You want one language across front end and back end
Deliverables
What you walk away with
- 01
A documented API
REST or GraphQL with typed schemas, versioning and OpenAPI docs your front-end and partners can rely on.
- 02
Real-time where needed
WebSockets or Socket.io with Redis for scale, for chat, notifications and live dashboards.
- 03
Reliable jobs and integrations
Queues, retries, idempotency and dead-letter handling, so webhooks and syncs don't lose data.
- 04
Observability
Structured logs, metrics, traces and alerts from day one.
Timeline
How the project runs
Typical timings for a first live version. We confirm yours in writing after discovery.
Week 1
Design
Data model, API contract and integration map, agreed in writing.
Weeks 2 to 6
Build
Endpoints, jobs and integrations, shipped behind feature flags with tests.
Week 7
Load and harden
Load testing, security review and failure drills.
Ongoing
Run
Monitoring, upgrades and new features.
Usual stackNode.js, TypeScript, Express, Fastify, NestJS, GraphQL, Socket.io, Redis, BullMQ, PostgreSQL, MongoDB, Docker, AWS
Why a small studio
The person who scopes your project is the one who builds it, and the one who picks up when it breaks at 2am.
- The founder is on your project
- Hussain leads every build himself. You won't brief an account manager who briefs a developer who briefs someone else.
- Three people, the output of ten
- We build with Claude, Codex and our own agent tooling every day. A small senior team now covers what used to need a department.
- We stay after launch
- Evals before every release, a log of each AI decision, cost limits and someone on call. Month six matters more to us than demo day.
- Your repo, your cloud
- The code sits in your GitHub and runs in your AWS, GCP or Azure account from the first commit, on tools your next hire already knows.
- Projects shipped
- 115
- since 2014
- Clients served
- 53
- US, UK, EU, Middle East, APAC
- Average rating
- 5.0
- 113 of 113 rated jobs
- Years shipping software
- 18
- the founder, since 2008
Case studies
Where we've done this before
- Conversational AI · 2024
Customer messaging SaaS, Israel
A WhatsApp-first omnichannel support inbox
We built the engineering behind a SaaS shared inbox that puts a company's WhatsApp, email, SMS and Facebook conversations in one place. Messages are routed to the right agent, tagged, searched and reported on, and a bot takes the first reply.
- Channels in one queue
- 5
- Channels in one queue
- First reply by bot
- 24/7
- First reply by bot
- SaaS pricing, live
- Per seat
- SaaS pricing, live
- AI automation · 2024
Automation SaaS
A visual bot builder and automation platform
We engineered a bot builder and workflow automation platform. Users drop triggers, actions and AI steps onto a canvas, connect them to the tools they already use, and the flow runs by itself.
- Canvas builder
- No-code
- Canvas builder
- Built into every flow
- AI steps
- Built into every flow
- Running today
- Live
- Running today
FAQ
Questions people ask
Express, Fastify or NestJS?
Fastify or Express for lean services, NestJS when a larger team benefits from more structure. We'll recommend one in scoping based on your team and the size of the system.
Can Node.js handle high traffic?
Yes, for I/O-heavy workloads it's one of the most efficient options. CPU-heavy work like image processing or ML goes to dedicated workers or Python services.
Do you work with MongoDB or PostgreSQL?
Both. We default to PostgreSQL for new systems and work in MongoDB happily when it's already in place or the data really is document-shaped.
Keep exploring
Goes well with
- AI workflow automationHours of copy, paste and chase turned into flows that run on their own, with AI steps where judgement is needed.
- Web apps (Next.js & React)SaaS products, dashboards and portals in Next.js and React, from the first commit to launch day.
- Python & FastAPIPython backends, data pipelines and AI services in FastAPI and Django that hold up under real traffic.
Start here
Let's scope yours.
Send a few lines about the workflow or product. You'll hear back from Hussain within a working day with questions, a rough shape and a ballpark.