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SaaS MVP Development
We build SaaS MVPs with auth, billing, a database, and AI features, production-ready, not a prototype. The difference between what we deliver and what most agencies call an MVP is that yours can be handed to a real engineer the week after launch without them needing to rewrite the foundation.
We scope the work to a fixed number before we start. You know the cost, the timeline, and exactly what ships before any money changes hands. If your idea needs more than the MVP budget can cover, we tell you that on the first call rather than halfway through the build.
Tell us about your product idea.
Every SaaS MVP engagement covers these components. We don't hand you a frontend with no backend or an app with no billing.
Next.js 15 App Router, TypeScript strict mode, Postgres (via Neon or Railway), and Tailwind. We pick the stack that ships fast and scales beyond the MVP.
Email/password and OAuth sign-in via Clerk or Auth.js. Role-based access control included if your product needs it. Social sign-in configured on day one.
Subscription tiers, usage-based billing, trial periods, customer portal, and webhook handling. We build the billing layer so it doesn't become technical debt the week you try to add a pricing tier.
The AI capabilities your product needs, not bolted on after the fact. We design the AI layer alongside the data model so it fits properly rather than being an afterthought.
Deployed to Vercel (frontend) and Railway or Render (backend/database). Custom domain, SSL, environment variable management, and staging environment included.
GitHub Actions pipeline with automated tests, preview deployments on pull requests, and branch-based deployment. Your team can ship safely from day one.
Technical architecture document, environment setup guide, and a data model reference. Enough that a new developer can be productive in the codebase within a day.
These represent the categories of AI capability we integrate most often. The specific feature gets scoped to your product during discovery.
Users upload PDFs, contracts, or reports. The product extracts structured data, surfaces key information, or generates summaries, without manual review.
The product generates written reports, analyses, or briefs from structured data in your database. Replaces copy-paste workflows with one-click generation.
Users search their data by meaning, not just keywords. A support agent searches “customer complained about invoice” and finds relevant tickets even if that phrase doesn't appear verbatim.
A scoped chat interface that answers questions about the user's own data (their projects, documents, history) not a generic ChatGPT clone.
The reason most MVPs slip from ten weeks to ten months is scope, not engineering. The hard part of our job is deciding what to leave out. Four principles keep a build on the runway.
One workflow, built completely. A focused MVP does the single thing your buyer pays for, end to end, on real data. Five half-finished features impress nobody and ship never. We name the core workflow in discovery, build it properly, and put everything else on a written list of what we are deliberately not building yet, with the trigger that would earn each item back.
Real auth and billing from day one. The plumbing that looks optional in a demo is the plumbing that is painful to retrofit. We build proper authentication, tenant isolation, and a Stripe billing layer at the start, even if you do not charge yet, because a pilot converts faster when the buy button already exists and the foundation does not need ripping out later.
AI designed with the data model, not after it. When the AI feature is bolted on at the end, it fights the schema and the cost economics are an afterthought. We design the AI layer alongside the data model so retrieval, evaluation, and per-user cost are part of the architecture, which is the difference between a feature users keep and one they try once.
Built for the engineer you hire next. The point of an MVP is to earn the right to keep building, usually with your own team. We write standard, typed, documented code with a runbook and an architecture doc, so the engineer you hire after launch can ship in their first week instead of campaigning to rewrite it.
Post-PMF companies that need to scale
If you already have product-market fit and thousands of users, you don't need an MVP. You need a full engineering team. We build the foundation that gets you to product-market fit. Scaling from there is a different problem that requires different people.
Mobile-first products
We build web applications. If your product requires a native iOS or Android app (not a mobile-responsive web app), we are not the right team. We can build the web version and API layer, but we do not do React Native or native mobile development.
Projects without a defined user problem
We can build anything you can describe clearly. What we cannot do is discover the product for you. If you need help figuring out what to build, user research, problem validation, product strategy, that comes before the development engagement. Come back when you know what the first version needs to do.
Tell us what the product does, who it's for, and what the first version needs to prove. We'll reply within one business day with a rough scope and price range, no commitment required.