MVP scoping
Cutting the idea down to the few features that prove value, so you launch in weeks — not the everything-first build that never ships.
SaaS MVP development turns a defined product idea into an initial web application with the core features needed to test it with users. It is intended for founders and teams that need authentication, billing, tenant-aware data, deployment, and analytics in a deliberately limited first release.
What I build
Cutting the idea down to the few features that prove value, so you launch in weeks — not the everything-first build that never ships.
Sign-up, sessions, and Stripe subscriptions (plans, trials, webhooks) so the product can take money on day one.
SaaS application development with tenant isolation done right from the start, so one customer never sees another's data.
Product analytics (PostHog) wired in so you can see what users actually do and decide what to build next.
Problems this solves
Example use cases
Next.js + Node, Stripe subscriptions, and Postgres took a scheduling idea to its first paying customers in six weeks.
A two-sided marketplace MVP with per-tenant data and Stripe Connect payouts between users.
Turned a company's internal spreadsheet workflow into a multi-tenant SaaS other teams could buy.
Tech stack
Process
Agree the core problem, must-have features, and success metric.
Ship a working full-stack product on a scalable stack.
Add billing and analytics, then get it in front of users.
Learn from real usage and iterate on what matters.
I build MVPs as full stack development on Next.js and Node.js. When the product's edge is AI, I add AI application development.
Related services
Next.js development uses React with server rendering, static generation, route handlers, and the App Router to build websites and web applications. It is intended for teams whose product needs search-visible pages, server-rendered content, integrated backend logic, or content managed through a CMS.
Node.js development provides the server-side APIs, real-time services, background jobs, and database access used by web and SaaS products. It is intended for teams building a new backend or improving an existing service that needs clearer architecture, authentication, queues, or live updates.
AI application development adds model-based functions such as summarization, extraction, classification, retrieval, or assisted drafting to a software product. It is intended for teams with a defined workflow and data source that need an AI feature integrated with existing systems and measured for accuracy, cost, and failure cases.
FAQ
Email me with what you need — I'll reply with a clear plan and next steps. Prefer chat? WhatsApp works too.