MVP development services: from one sentence to a product people pay for.

MVP development services build the smallest version of a product that real users can use and pay for, so you learn whether the idea works before you fund the full roadmap. The work covers the brief, the scope, a prototype, the build and the launch. But a good MVP, while deliberately small, is still built properly: real sign-up, real payments and real data. It is functioning software, not a slide deck.

My MVP builds start from $10k for a core product: one type of user, one core flow, sign-up and payments. More user roles, integrations with other systems or AI features cost more and are scoped individually. Running costs (such as hosting, Supabase and Stripe fees) are billed directly to your own accounts. And the quote is fixed once you sign off the scope.

Most core MVPs take six to ten weeks from the first call to launch. That is roughly a week on scope, one to two weeks on the prototype, then the build with a preview every week. But delivery dates slip for predictable reasons: decisions waiting on someone, third-party reviews such as payment provider checks, and integrations with systems that have no clean API.

It depends on what you need from the supplier. An MVP development company gives you a team and a bench, which matters when several products run at once or procurement needs a vendor. A freelancer usually costs less, but you end up making every product decision and managing the work. So this service sits neatly between the two: one senior person accountable from the brief to the handover, with agent workflows producing the output of a small team.

Yes. The repository sits in your GitHub organisation from the first commit, and hosting, Supabase and Stripe run in your accounts. There are no licence fees on anything I build. And the handover includes clear architecture notes (written for working engineers), so your next engineer starts from documentation instead of guesswork.

Next.js with the App Router when the product is mostly a logged-in app, and Astro when it is mostly content. Supabase handles the Postgres database, auth and storage, with row-level security on every table. Stripe covers payments, with Vercel or Netlify for hosting. So the stack is chosen to fit the product directly, while remaining straightforward to hire for after handover.

Yes. AI features are built on Claude or another model through the Vercel AI SDK, with evals that show when output quality drops and spending limits on every model call. But the same discipline applies as for the rest of the MVP: the AI feature has to test the riskiest assumption, or it waits on the later list.

It means AI agents can use the product through defined tools instead of clicking through the screens. Each MVP registers WebMCP tools in the browser (such as search, book or check a price) and ships with an llms.txt file and structured data so AI assistants can describe it accurately. WebMCP is still an origin trial in Chrome and Edge, so treat this as groundwork for a channel that is still forming.

No-code is the right call when you need to test demand within weeks and you accept a rebuild if it works. Custom code is the right call when demand is already proven, or when the product needs things no-code tools cannot express. And if you already have a no-code version that people use, I treat it as the spec for the custom build.

Two routes. A monthly retainer keeps me on the roadmap, shipping the items from the later list in the order the launch data supports. Or your own team takes over from the handover notes. Either way, the first month after launch is about discovering whether the riskiest assumption held.