Web & SaaS Development

Full-stack web applications and SaaS platforms built on React, Next.js, and Node.js, designed to ship to production rather than pass a demo. Whether you need an MVP scoped and built in eight weeks or a complex platform rebuilt on a modern stack, we cover the full engineering surface: frontend, backend, database, DevOps, payment systems, and AI integration in a single engagement.

SaaS application development spend grew 176% year-over-year in 2025, the largest increase of any software category (BetterCloud, 2025). That kind of growth means the tooling moves fast, the competition moves fast, and the cost of getting the architecture wrong on a first build is higher than it used to be. We've rebuilt enough platforms to know the patterns that cause rewrites, and we scope to avoid them.

what we build#

SaaS platforms: from MVP to production#

We scope and build SaaS products from the initial architecture decision through production deployment. That means database schema design, authentication, role-based access, billing integration, and multi-tenant logic, not a frontend connected to a half-finished API.

An MVP for a focused SaaS product typically runs 8-14 weeks. A platform with integrations, analytics, and admin infrastructure runs longer. We'll give you a realistic scope before we start.

internal tools and admin dashboards#

Operational dashboards, internal tooling, and admin panels are a distinct build category: higher data density, more complex state, and different UX requirements than a public product. We design and build these with the same architecture rigor as our externally facing products because they're usually the interface your team uses every day.

developer tooling and APIs#

REST and GraphQL APIs, developer portals, CLI tooling, webhook infrastructure, and SDK-adjacent systems. If other developers will consume your product's surface area, the reliability and documentation standards are higher. We build APIs we'd want to integrate against ourselves.

marketing sites and conversion-optimized landing pages#

Performance-first marketing sites and landing pages on Next.js with full CMS integration, analytics, and conversion tracking. When your site is part of an active growth loop, load time and Core Web Vitals scores are not aesthetic considerations. They directly affect SEO rank and paid ad quality scores.

the stack we use, and why#

We use the same stack internally for our own products that we deliver to clients. That means no ramp-up time, no stack debates at the start of an engagement, and no handoff friction when something needs to be debugged post-launch.

frontend: React, Next.js, TypeScript, Tailwind#

React with TypeScript is the default for any project with non-trivial UI state. Next.js App Router handles routing, server-side rendering, and API routes, which eliminates a separate backend service for most mid-size applications. Tailwind CSS with component libraries handles the design system layer. Next.js is the leading React framework for SaaS in 2026, used by the majority of new production applications due to App Router architecture, server components, and the Vercel deployment ecosystem (MakerKit, 2026).

backend: Node.js, Python, FastAPI, tRPC#

For API-heavy backends, we use Node.js or Python depending on what the rest of the system touches. FastAPI for Python services, especially when AI or ML components are involved. tRPC sits between a Next.js frontend and Node.js backend when you want type-safe internal APIs without the overhead of a REST contract. In full-stack TypeScript monorepos, it eliminates an entire category of runtime type errors that you'd otherwise discover in production.

databases: PostgreSQL, Supabase, Redis, Prisma#

PostgreSQL is the default relational database. Supabase when you want managed Postgres with built-in auth, storage, and realtime. Prisma as the ORM for schema management and type-safe queries. Redis comes in for caching, rate limiting, and session management when PostgreSQL isn't the right fit.

infrastructure: Vercel, AWS, Cloudflare, Docker, GitHub Actions#

Vercel handles most frontend deployments and edge functions; we move to AWS when workload size or compliance requirements push past what Vercel can do. Cloudflare sits in front for CDN, WAF, and workers. Docker and GitHub Actions handle containerized deployments and CI/CD pipelines that run on every push.

AI integration: when your web app needs to do more than serve pages#

Many of the web products we build now include an AI component: a processing pipeline, a generation step, an agent embedded in a workflow. We integrate OpenAI, Anthropic, and open-source models into web applications at the API and infrastructure layer. This is a native part of how we scope new products, not an add-on. See our agentic AI services page for the full picture.

how we scope and build projects#

step 1: requirements and architecture scoping#

Before writing a line of code, we map out the data model, authentication requirements, integration points, and infrastructure constraints. Most expensive rewrites trace back to skipping this step, or rushing through it. We document the architecture decisions so the client understands what's being built and why, which also makes later changes faster to evaluate.

step 2: design (if needed) and component planning#

For projects that include UI design, this phase happens in parallel with architecture. We plan the component library and design system before the build starts, not after. If you already have a design, we review it for implementation feasibility and flag anything that will cause problems in code. Our UX/UI design service is built to pair directly with development, with no translation layer between design and engineering.

step 3: iterative build with staged reviews#

We build in two-week sprints with a staged review at the end of each sprint. You see working software on a preview URL, not a status update. Feedback loops stay short. Requirements drift gets caught early. Edge cases surface before they're expensive.

step 4: QA, deployment, and handoff documentation#

Before launch: automated test coverage, manual QA across browsers and devices, load testing where scope requires it. After launch: full deployment documentation, runbooks, environment variable management, and a codebase handoff that another engineer could work in without us in the room. We've inherited enough undocumented codebases to know what that handoff should look like.

pricing and project structures#

Most early-stage builds fall between $25,000 and $100,000 (iCoderzSolutions, 2026). Scope and timeline drive cost more than any other factor, which is why we spend time on architecture before we quote. The ranges below are real starting points, not minimums designed to look accessible.

MVP builds#

$25,000-$60,000 | 8-14 weeks

A focused MVP: core feature set, authentication, basic billing, and production deployment. Scoped to test product-market fit without over-building. It's a deployable product with a real database, real auth, and real infrastructure. Scope creep during the build is the main thing that pushes this range higher, so we flag it early.

full-featured SaaS platforms#

$60,000-$150,000+ | 14-24 weeks

Multi-tenant SaaS with role-based access, advanced billing, integrations, admin dashboard, and the infrastructure to support a growing user base. Includes analytics instrumentation and production-ready observability.

internal tooling and dashboards#

$15,000-$50,000 | 6-12 weeks

Operational dashboards, data pipelines with a frontend, and internal admin tools. Scoped to the organization's actual data sources and workflow, not a generic template.

retainer-based ongoing development#

For products already in production, monthly retainer engagements cover ongoing feature development, bug fixes, performance improvements, and infrastructure maintenance. React developer rates at the mid-to-senior level run $40-$90/hr; agencies typically add 30-50% over freelancer rates for project management, QA, and reliability (Index.dev, 2026). We're in that range, and we think it's worth it for the right project.

when web development is part of a larger system#

connecting your web app to AI agents and workflow automation#

A growing share of the web products we build are not standalone applications. They're the user-facing layer on top of an agentic system or an automated workflow: the SaaS dashboard as the interface for an AI pipeline, the admin panel as the control surface for an orchestration layer. Building the web layer and the AI layer in the same engagement removes the integration problems that come from two separate teams working from different assumptions about the data model.

See how agentic AI and systems integration fit alongside this work.

APIs and systems integration as part of the build#

Most web applications connect to several external services: a payment provider, a CRM, an email platform, an analytics tool. We scope these integration points as first-class architectural concerns. Webhook reliability, API rate limiting, and error handling get designed in at the start. The alternative is discovering edge cases in production, which costs more than getting it right the first time.

Our technologies page has the full stack reference if you want to check against a specific tool or language.

FAQ#

How long does it take to build a web application or SaaS product?

A focused MVP with authentication, a core feature set, and production deployment runs 8-14 weeks. Full-featured SaaS platforms with billing, admin infrastructure, and integrations typically run 14-24 weeks. Timeline depends on scope clarity, the number of external integrations, and how many design decisions are already made when the engagement starts.

What is the difference between a web app and a SaaS platform?

A web app is any browser-based software. A SaaS platform is a multi-tenant, subscription-accessible product where the software is delivered as a service: customer management, billing, usage tracking, and role-based access are core features rather than things you add later. Most clients we talk to don't have a clear answer to this question when they come in, and that's fine. It affects scope, so we sort it out in the first conversation.

Should I hire an agency or a freelancer to build my web application?

Freelancers make sense for well-defined, single-technology tasks where you can manage coordination yourself. An agency makes sense when the project spans multiple technical domains (frontend, backend, DevOps, design), when you don't have bandwidth to manage a distributed team, or when you need someone accountable to a delivery timeline. Most web applications that need to ship to production involve all three of those conditions.

Which tech stack is best for SaaS development in 2026?

React and Next.js for the frontend, Node.js or Python for the backend, PostgreSQL for the primary database, and Vercel or AWS for infrastructure covers the large majority of SaaS projects well. The nuances are in the details: when to add Redis, when to use Supabase instead of managing your own Postgres, when a serverless architecture is a liability rather than an asset. We scope this per project based on your load characteristics, compliance requirements, and team structure post-handoff.

Do you work with existing codebases?

Yes. A significant portion of our engagements involve taking over, auditing, and extending an existing codebase. We start with a technical audit before committing to a scope. If the existing code is too brittle to extend safely, we say so, including what a rebuild would cost versus a refactor. Our technical audit service is a structured starting point for that conversation.

Can you integrate AI features into a web application?

Yes. AI integration, including LLM APIs, agent workflows, document processing, and embeddings, is a standard part of our engineering stack. If you have a web application that needs to incorporate AI processing, we scope the AI components alongside the web layer. See our agentic AI services for more.

If you have a project in mind, talk to our team. We'll tell you what it will take to build it.