Your MVP, live in 2 to 6 weeks.

Most products take 2 to 6 weeks, and 2 when the scope is tight. What moves the number is how many flows the first version needs, whether it ships on the web or in the app stores, and how quickly decisions are made on your side. We agree the scope and the plan with you before work begins, and you review working software regularly as it takes shape. A product that is more than a first version takes longer: several applications, a model of its own, a regulated market. We tell you which yours is, and what it takes, before work starts.

An MVP project covers everything between the idea and a product in your customers’ hands. That includes discovery and scope, the working prototype, the design refined through the build, engineering, testing, and launch on the web or in the app stores. Design and engineering happen in the same place, so there is no handoff between a design agency and a development shop.

Together, and in writing. We start from what a customer needs to get value from the product and what an investor needs to see, then set aside everything that does not serve one of those two. Every feature that is cut goes on a list with the reason, so nothing is lost and the decision remains yours. AI-assisted research accelerates the market and competitor side of that work, and the decisions are made by people.

Design is included. Research, the working prototype and the interface it becomes are part of the project, with design running alongside engineering so it does not add weeks. Brand identity is included when the product needs its own. If you already have a brand or a designer, we work with them.

We build in the stack the product will grow in, so nothing has to be rebuilt later. Most often that means TypeScript, the React ecosystem on the web, React Native with Expo on mobile, Node.js behind them, PostgreSQL first, with MongoDB, Neo4j or Redis when the data has a different shape, and AWS first, Cloudflare where it fits, and a plain server when that is the right size. For AI features, we use Claude, GPT, Gemini or open models, chosen per use case. When a product calls for something else, we use that instead and tell you why.

Launch is where the learning begins. Monitoring and error tracking are in place before the first user, and the first weeks of real usage decide what gets built next. Most clients keep us on a monthly retainer for fixes, improvements and the next features, and some ask us to take the fractional CTO or CPO seat.

Most MVPs are delivered as a fixed-price project with an agreed scope, an agreed price and a launch date, so you know the number before work begins. When the scope is still moving, time and materials billed monthly fits better, and we will say so up front. We provide a quotation after a short call about what you are building.

Yes. Some clients arrive with a prototype, and some with a product another team started. We begin with a focused review of what exists, keeps what holds up, and plans the shortest route from there to a launched first version.