MVP development that tests the idea
and survives its own success

MVP development is building the smallest version of a product that lets real users do the one job the product exists for, so you can learn whether the idea works before spending a full build budget. A good MVP is not a prototype or a demo. It is production software: real accounts, real data, deployed and usable. It just does less. We build MVPs on an architecture that can grow, so a successful MVP becomes version two rather than something you throw away.

A focused MVP covering one core workflow with authentication, a database, and a clean interface typically takes 8 to 12 weeks. If the product needs payments, multiple user roles, or a third-party integration from day one, it is closer to 12 to 16 weeks. We scope the MVP down to what actually tests the idea and cut everything else to the backlog, then deliver in two-week sprints so you see it come together.

It is a single fixed price, scoped after a call, not an hourly arrangement. The price depends on how many workflows the MVP genuinely needs and whether payments and integrations are in scope for launch. We push hard to keep the first version small, because a smaller MVP gets you real feedback sooner and cheaper. After launch, most founders move to a monthly build-on retainer for the next round of features.

To build on. We use the same architecture discipline as a full product build: a sensible data model, a clean API, automated deployment, and a stack that scales. The MVP is scoped small, but it is not built cheap in ways that force a rewrite later. When the idea is validated, you add features on top of what exists rather than starting again.

Yes, that is part of the engagement. In scoping we map every feature you have in mind against one question: does it help you learn whether the core idea works? The features that do are in the MVP. The rest go to a backlog you keep. Founders usually arrive with a version two in their head, and the main value of scoping is agreeing the version one that tests the riskiest assumption first.

Yes. If AI is the core of the product, we build it in from the start, using the Anthropic, OpenAI, or Gemini APIs with retrieval, prompt versioning, and evals rather than a prototype bolted on. If AI is a later feature, we design the data model and APIs so it drops in without a rewrite. Our own products, Tully AI and Mebag, are AI-native builds. Mebag runs an AI shopping assistant on custom retrieval with sub-800ms responses in production.

You do, completely. Source code, database, infrastructure configuration, and all associated IP transfer to you. There is no vendor lock-in and nothing that ties the product back to us. If you raise funding and build an in-house team, they inherit a documented, standard codebase they can run with.

Yes. Most founders move onto a monthly build-on retainer after launch: a predictable amount of senior engineering per month for the next features, informed by what real users are doing. You can also take the codebase in-house, or pause and come back. The MVP is documented so any of those paths works.

Yes. We work with startup founders across the United States, United Kingdom, and Australia, with agreed real-time overlap hours for each region and communication over video call and Slack. We have shipped SaaS platforms, marketplaces, and AI products for founders, several of which started as an MVP with us and are now in continuous development.

Two things. First, it is built by senior engineers on production-grade architecture, so a validated MVP scales instead of collapsing under its first hundred users. Second, the scoping is honest: we cut the MVP down to what tests the idea and tell you plainly which features can wait. We have delivered 600+ projects over eight years and we are a Fiverr Vetted Pro agency with a 5.0 rating across 353 reviews.