An MVP is a question, asked in code
Most startups do not fail in the build. They fail in the brief: the wrong thing, built well. A minimum viable product is the smallest thing that proves or disproves your idea with real users, and the work that matters most happens before any code is written.
Step one: the discovery sprint
Before we build, we run a short, fixed discovery sprint. It answers three questions:
- Who has this problem, and how painful is it really?
- What does success look like in numbers? Sign-ups, paid pilots, applications completed, a retention target.
- What is the smallest thing that would prove it?
Then we cut scope into now (the one loop that proves the idea), next (valuable, not needed for launch) and not yet (parked, on purpose). You leave with the core flow sketched end to end, a scoped build, a timeline and a price. The full process is in what a discovery sprint looks like.
Step two: a first release that does not need rewriting
The classic MVP trap is a prototype held together with tape that has to be thrown away the moment it works. We build the first release on the same foundations you would scale on: TypeScript, Postgres, proper authentication, row-level security and a deployment on accounts you own. It is small, not flimsy.
AI-assisted engineering is what makes that affordable. AI writes the scaffolding, tests and boilerplate; senior engineers spend their time on the decisions and review every change before it ships. On our own products this has meant very short build times: the first version of Wipe Board was live within a day and grew into a data product with 10,000+ indexed pages, an API and an MCP server for AI assistants.
Step three: learn, then build the next thing
An MVP is only useful if you can read what it tells you. We wire in analytics for the success numbers agreed in discovery, so you know within weeks whether the core loop works. Then we plan the next milestone around what users actually did, not what the pitch deck assumed.
What we have learned from shipping our own
We build our own products as well as clients', and every one taught us something about MVPs:
- Build the thing that creates the data first. On OSRS Flip Finder we built a trade journal before the plugin that fills it in automatically. The plugin should have come first.
- Put the must-have notification in release one. On RescueME we scoped email alerts for phase two; the team still opens the dashboard to check.
- Make it findable from day one. A launch nobody can find on Google or in an AI assistant's answer is a launch that did not happen. Server rendering and structured data cost almost nothing at the start and a lot to retrofit.
Who this is for
Founders in Dubai and the wider UAE with an idea and a budget for a first release, including non-technical founders who need an engineering partner rather than a pair of hands. Companies testing a new product line before committing a full team. Anyone who has been quoted six months for something that should take weeks.
Frequently asked questions
How much does an MVP cost in Dubai?
It depends on scope, which is why the discovery sprint comes first: it cuts the idea down to the core loop and prices it before the build starts. Book a free 15-minute consult to start.
How long does it take to build an MVP?
It depends on scope. Discovery ends with a written timeline. Because AI handles the repetitive work and scope is cut hard to the core, our builds are measured in weeks, not quarters, and our own first versions have gone live in a day.
I am a non-technical founder. Can you still help?
Yes. We act as your engineering team: we translate the idea into a scoped product, make the technical decisions with you and explain them in plain language, and hand over code a future CTO will be glad to inherit.
Will we have to rebuild the MVP later?
We build it so you should not have to. The MVP uses the same stack and practices you would scale on, so later work adds to it rather than replacing it.
Do we own the code and IP?
Yes. Code, repositories, accounts and IP are yours from day one, which matters when investors run due diligence.