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SaaS · MVP development

SaaS MVP development

You have a product idea and want to find out quickly whether customers will pay for it. I build your MVP with everything a real SaaS needs — accounts, billing, admin, solid architecture — focused on the one feature that makes the difference.

Why MVPs fail

Too much at once

Scope grows, launch slips, and the budget is gone before the first customer pays.

Throwaway code

Hacked together quickly — and the first growth spurt means rebuilding everything.

No billing

Without payments there is no real signal whether the product works.

From concept to launch

  1. 1. Scope workshop

    We cut the MVP to the core: one audience, one problem, one key feature — with a clear success metric.

  2. 2. Design & architecture

    A clickable prototype and an architecture that scales (e.g. Next.js, Postgres, Stripe/Lemon Squeezy).

  3. 3. Sprints

    Weekly demos on a real staging environment so you can give feedback early.

  4. 4. Launch & handover

    Production, monitoring, analytics, documentation — and optional further development on a retainer.

Included

  • Sign-up, login, teams and roles
  • Subscriptions and payments (Stripe or Lemon Squeezy, incl. EU VAT)
  • Admin area, emails, analytics
  • AI features where they add real value
  • You own all code and rights

Frequently asked questions

How long does an MVP take?

With a clearly cut scope, usually 8–12 weeks to launch.

What does a SaaS MVP cost?

Depending on scope, typically five figures (EUR) as a fixed price per phase. You get a binding proposal after the scope workshop.

Do I own the code?

Yes, completely — including the repository, infrastructure access and documentation.

What happens after launch?

You can continue on your own or with your team. If you like, I keep maintaining and extending it.

Think your idea through in 30 minutes

Tell me about your idea — I will tell you what a realistic MVP looks like and what it costs.

Have an idea or a process that eats hours every week?

Let's find out in 30 minutes whether AI or a custom product can fix it, and what it would cost.