Web Development
Web development services.
Web applications that remain fast, secure and easy to change as the business grows. We build SaaS platforms, dashboards, APIs, integrations and real-time features, most often in TypeScript on the React and Node.js ecosystems.
SaaS · Dashboards and APIs01 · Our web development expertise
Seven kinds of work we are engaged for, and what each one involves.
SaaS platforms
Multi-user products with sign-in, roles and permissions, subscriptions and billing, admin tooling and audit trails. We start with the simplest architecture that fits, with clear boundaries inside it, so it can be split up when growth demands it.
Dashboards and data-heavy interfaces
Charts, large tables, filters, exports and live data, designed around the decisions people make with them, with queries, caching and pagination tuned so the dashboard stays fast as the data grows.
APIs and integrations
REST and GraphQL APIs your product and your partners can rely on, and webhooks and integrations with payments, CRMs, analytics, email and the systems you already run, each built to withstand a failed request and to report it.
Real-time features
Live updates, chat, presence and collaboration over WebSockets, designed to degrade gracefully when a connection drops and to scale past a single server when the product requires it.
Marketing sites
Fast, accessible, SEO-ready sites for the product, built with Astro or Next.js depending on how much of the site is content and how much is application.
Legacy modernization
Software that has aged out of its stack is moved to a modern one without stopping the business. We assess it first, migrate it in steps, and test after every move.
Cloud and DevOps
Infrastructure most often on AWS, with Cloudflare where it fits or a plain server when that is the right size. Docker-based deployments, separate development, staging and production environments, CI/CD on every change, monitoring and error tracking from the first release, and a migration between providers when a product outgrows where it started.
02 · How we build
Simple first, split only when growth demands it.
Engineers most often build in TypeScript on the React and Node.js ecosystems, with the framework chosen for the product, and when a product calls for something else they use that instead. They work with AI coding assistants every day, and a second engineer reviews the changes that carry risk before they ship.
We usually start with the simplest shape that fits the product and split it up only when growth demands it, so scaling does not mean a rewrite. The data most often lives in PostgreSQL, with MongoDB, Neo4j or Redis when it has a different shape, and the product most often runs on AWS, with Cloudflare where it fits and a plain server when that is the right size, alongside Docker-based deployments, separate environments and CI/CD on every change.
Engineering standards
The same rules on every project, whatever its size.
Typed by default
Most of what we build is TypeScript, front end, back end and mobile, so a whole class of mistakes is caught before users see it and the next engineer can read the codebase. Where a product calls for another language, the same discipline comes with it.
Review where it counts
Types, tests and CI check every change on their own. A second engineer reviews the changes where a mistake would be expensive, in architecture, data, security and payments, whether a person or an AI wrote them.
Automated tests and CI
Tests run on every change in a pipeline that blocks what fails. Nothing reaches production by hand.
Staged environments and safe deploys
Separate development, staging and production environments, and deployments that do not take the product down.
Security as routine
Nothing waits for a security phase at the end. Dependencies are kept current, secrets stay out of the code, access is granted on a need-to-have basis, and every project is checked against the OWASP list.
Performance, measured
The screens and endpoints that matter get a target they have to meet, and we profile and test against it before a release rather than guess.
Monitoring before launch
Error tracking and uptime monitoring in place before the first user arrives, with AI-assisted triage after.
Documented and handed over
Decisions written down as they are made, instructions for running the product, and a clean handover if your own team takes over.
How you follow the build
Work runs in two-week sprints, and each one ends with a demo of working software. The backlog and the progress sit on a shared board you can open at any time, and the team is available to talk, review and decide throughout the sprint, not only at the demo.
Every change goes through automated tests and CI before it reaches staging, the ones that carry risk through a second engineer as well, and nothing reaches production by hand. When something breaks after launch, monitoring tells us before your users do.
03 · Legacy modernization, step by step
Old software rarely fails all at once.
It becomes slower to change until nobody wants to touch it. We move it to a modern stack in steps, so the business keeps running while the foundations are replaced.
Assess
First
A plain account of what the software does, and what is worth keeping.
We establish what the software does, what it runs on, and which parts are worth keeping.
Plan
Before any move
The order of the moves, with what matters most to the business first.
We set the order of the moves, guided by what matters most to the business and what is riskiest to leave.
Migrate
One piece at a time
Each piece running on a modern stack, with the business still running.
We move one piece at a time to a stack the product can grow in.
Integrate
With each move
New and old parts working as one system.
We connect the new pieces to the systems that stay, so nothing falls between the two.
Test
After every move
Tests and CI in place, so the next change is a routine one.
We test after every move, with automated tests and CI in place by the end, so the next change is straightforward.
04 · What we build with
The stack is chosen for each product.
These are the technologies we work with most.
Front end
TypeScript and React, with TanStack, Next.js or Astro depending on the product.
Backend
Node.js on the server, with PostgreSQL first and MongoDB, Neo4j or Redis when the data has a different shape.
Cloud
AWS first, Cloudflare where it fits, and a plain server when that is the right size, with Docker-based deployments, separate development, staging and production environments, and CI/CD on every change.
AI features
Claude, GPT, Gemini or open models, chosen per use case.
05 · Related work
Web products we have built.
20+
MVPs launched
150+
Startups coached
12
Mentorship programs
06 · Frequently asked questions
What teams ask before a web build.
What kind of web applications do you build?
We build SaaS platforms with authentication, roles, subscriptions and admin tooling, along with dashboards and data-heavy interfaces. We deliver the APIs and integrations that connect a product to payments, CRMs, analytics and the systems a business already runs on, as well as real-time features such as live updates, chat and collaboration. We also build the marketing site that presents the product and modernize software that has aged out of its stack. Most of it is built in TypeScript on the React and Node.js ecosystems, and when a product calls for something else we use that instead.
Which framework do you use?
Most often we work in TypeScript and React, and choose the framework for each project. TanStack suits application-heavy products where most of the work happens after sign-in, Next.js is chosen when it fits, and Astro suits content-heavy sites. Node.js most often runs behind them, with PostgreSQL for the data, or MongoDB, Neo4j or Redis when the data has a different shape, most often on AWS, with Cloudflare where it fits and a plain server when that is the right size. We choose the stack each product will grow in, and when it calls for something else we use that instead.
How do you keep a web application fast as it grows?
We keep it fast by measuring it. The screens and endpoints that matter receive performance budgets that every release has to meet, and we profile and load-test against them rather than estimate. On the back end that means query tuning, caching and pagination designed for ten times the data. On the front end it means code splitting and rendering choices made per page. Monitoring after launch tells us when a number moves before users notice.
How do you handle security?
We treat security as routine practice rather than as a phase at the end. Changes that touch data, access or payments are reviewed by a second engineer. Dependencies are kept up to date, secrets stay out of the code, and access to accounts and data follows least privilege. Authentication, authorization and input handling follow OWASP guidance, and staged environments mean nothing is tested in production. We build security into the way the product is made rather than into a checklist afterwards.
How do you decide the architecture?
We start with the simplest shape that fits the product, a single well-structured application with clear boundaries inside it, which is what most products are fastest to build and easiest to run in. Separate services or serverless functions come in when load, team size or a specific workload calls for them, and the boundaries drawn early make that split a step rather than a rewrite. We record each decision as it is made, so the reasoning remains available as the product grows.
How do you make integrations reliable?
We design integrations on the assumption that the other side will fail at times. Calls are retried with backoff, operations are idempotent so a repeated request never duplicates a payment or an order, and every exchange is logged so a failure is visible and recoverable rather than silent. Webhooks are verified and processed the same way. We build integrations to remain dependable when the service at the other end is not.
Do you handle infrastructure and DevOps?
Yes. We set up and run the infrastructure the product needs, most often on AWS, with Cloudflare where it fits or a plain server when that is the right size, and with Docker-based deployments, separate development, staging and production environments, CI/CD on every change, and monitoring and error tracking from the first release. When a product outgrows where it started, we migrate it.
Can you take over an existing codebase?
Yes. We begin with a short review of the code, the infrastructure and how the product is used, gives you a plain account of what holds up and what does not, and plans the shortest route to the next release. A rewrite is the last resort rather than the first suggestion.
How does legacy modernization work?
It proceeds in steps, without stopping the business. We assess what exists, plan the migration around the parts that matter most, move them to a modern stack one at a time, connect the new pieces to the systems that stay, and test after every move.
How will I follow the project?
Work runs in two-week sprints, each ending with a demonstration of working software. The backlog and the progress are on a shared board you can open at any time, and the team is available to talk, review and decide throughout the engagement, not only at the demo. Every change goes through automated tests and CI before it reaches staging, and the ones that carry risk through a second engineer.
Do you also design what you build?
Yes. Design and engineering happen in the same place. We produce a working prototype in days, shape it with you until it is close to the product that will ship, and build from it. If you already have a designer or a design system, we build from it.
How is web development priced?
A scoped web application, dashboard or feature is usually a fixed-price project with an agreed launch date. Ongoing product work runs on time and materials billed monthly, and a retainer covers support, fixes and steady improvement after launch. We quote after a short call about what you are building.
Blog
From the blog
What actually gets faster with AI-assisted development, and what does not
AI coding assistants make some engineering work dramatically faster and leave the rest exactly as slow. This article covers the numbers from studies and agencies, what we see on our own projects, and the practices that decide whether the speed is real.
Cloud costs for a startup on AWS, Cloudflare or a plain server, and how to keep the bill in check
This article explains where a startup’s cloud bill comes from, what AWS, Cloudflare and a plain server each cost in money and in attention, and the habits that keep infrastructure spending in proportion to the product.
When a startup should build a design system, and what it saves later
A design system is the set of tokens, components and rules that keeps a product consistent as it grows. For a startup the question is not whether to have one but when. This article covers what a design system is, what it saves, when it is too early, and how to start small.
Web Development
Built to grow with the business.
Tell us what the product has to do and what it runs on today, and we will tell you what it would take.


