Skip to content

Services

Software by stack, industry, and who is buying.

8,640 focused briefs from the full keyword matrix — 20 stacks × 12 services × 12 industries × Company, Agency, and Services. Every URL has a canonical, unique copy, and related studio projects. Agency and Services variants sit on each brief.

Next.js

We use Next.js for App Router products that need SSR, ISR, edge caching, and programmatic SEO without a separate frontend/backend split. Server Components keep the first paint honest; Route Handlers and server actions keep writes close to the data.

React

React is how we ship dense, interactive UIs — admin consoles, configurators, and real-time boards — without locking you into a single meta-framework. We pair it with a typed API layer and a design system so the product can grow past the first release.

React Native

React Native (and Expo when it fits) lets us ship iOS and Android from one codebase without a second product team. We keep native modules isolated, so camera, maps, payments, and push stay reliable while the product UI iterates weekly.

Vue.js

Vue.js is the right call when the team wants a lighter mental model, progressive adoption, or Nuxt-class SEO without React. We use it for storefronts, ops tools, and marketing apps that still need a serious API and auth story.

Angular

Angular is how we build enterprise-grade consoles: opinionated modules, strict typing, and long-lived teams that need guardrails. We use it for banking ops, industrial dashboards, and internal platforms where structure beats novelty.

TypeScript

TypeScript is the contract layer across our web, mobile, and API work. Shared types between UI and server catch the bugs that would otherwise show up in checkout, booking, and payouts — and they make handover to your team actually possible.

Tailwind CSS

Tailwind CSS is how we ship dense product UI without a three-month design-system detour. Tokens, components, and dark-mode rules live in the codebase, so marketing pages and ops consoles stay consistent when the product grows.

Node.js

Node.js is our default for APIs, webhooks, queues, and realtime — the same language as the UI, so one team owns the loop. We use it for booking engines, storefronts, and the glue between payments and ops.

Python

Python is how we add the unglamorous backbone: data jobs, automation, ML-adjacent scoring, and admin tools that operators actually run. We do not dump a notebook into production — we wrap it in an API, logs, and a deploy path.

Django

Django is the right call when you need a battle-tested admin, auth, and ORM on day one — especially for internal platforms and content-heavy products. We keep it modern (async where it helps, typed where it counts) and do not pretend the built-in admin is the product.

Laravel

Laravel is how we move fast on PHP estates and new products that want queues, policies, and a sane ORM. We use it for portals, booking, and ops tools — then put a real frontend on top when the UI deserves it.

GraphQL

GraphQL is for products with many clients — web, mobile, partner — that cannot keep growing REST variants. We design the schema around the domain, add persisted queries and rate limits, and do not let the graph become a dumping ground.

PostgreSQL

PostgreSQL is the source of truth for anything with money, inventory, or audit. We design schemas, indexes, and row-level rules before the UI — because a pretty dashboard on a mushy data model is still a liability.

MongoDB

MongoDB fits catalogs, event logs, and product-shaped documents that would fight a rigid schema in week one. We still add the indexes, validations, and backup story that keep a document store from becoming a junk drawer.

Prisma

Prisma is how we keep TypeScript honest against the database. Migrations, typed queries, and a schema your team can read — so the API does not drift from the tables six weeks after launch.

Firebase

Firebase (Auth, Firestore, Cloud Functions, hosting) is how we ship MVPs and realtime apps without standing up a cluster first. We treat security rules as product code, and we plan the exit to a dedicated API when the data model outgrows it.

AWS

AWS is where production actually lives for most of the products we ship: compute, object storage, queues, and the IAM that keeps keys off laptops. We size it to the product — not a landing-page architecture diagram.

Azure

Azure is the cloud we use when the buyer already lives in Microsoft 365, Entra ID, and enterprise procurement. We map the app to App Service or containers, wire SSO, and keep the resource group something your IT team can own.

Docker

Docker is how we stop the 'works on my machine' tax. Local, preview, and production run the same image — so migrations, workers, and the web process do not diverge the night before launch.

Kubernetes

Kubernetes is for products that have earned it: multiple services, rolling deploys, and a team that will actually operate the cluster. We do not put an MVP on k8s to look serious — we put it there when uptime and scale are already the bottleneck.