πŸ’‘ Have an idea? Let’s build an MVP to test it

Startup MVP in 7-14 days with clear scope and a lean budget

Not a developer and do not want to build a team from scratch? We handle the technical side: define the MVP, design it, build it, and launch it. AI is used as an accelerator, but responsibility for the outcome stays with us.

πŸ“Œ MVP means the smallest working product that proves value and tests demand. Projects typically start from $500, with the final scope and budget fixed after a short briefing.
⏱️ The focus is always on 1-2 key scenarios. No extra backlog inside the first version.
πŸ“¦
Clear scopewe define what is included and what is not
πŸ§ͺ
MVP as a testyou get data to decide whether to continue or pivot
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Built for growthcode and structure that can be expanded later

Why non-technical founders get stuck

and how to avoid it without hiring a full team

⏳ Time

β€œI’ll build it with AI myself” turns into weeks

AI can generate code, but it does not remove architecture, data, security, release, and support decisions.

πŸ’Έ Budget

Hiring piece by piece becomes expensive fast

Frontend, backend, design, DevOps. Suddenly you are managing the whole process without enough leverage.

🎯 Focus

MVP often turns into β€œalmost a full product”

Instead of testing a hypothesis, the work becomes feature expansion. We keep the first version lean and launchable.

Why not just build it yourself with AI

especially if you are not technical

Approach comparison
πŸ“Œ AI is a tool, not a replacement for product and engineering judgment

😡 DIY or piecing together freelancers

  • βœ–You end up managing development instead of focusing on product and market
  • βœ–Quality and timing are hard to judge, so rework becomes likely
  • βœ–AI can generate code, but not a stable and coherent release by itself
  • βœ–Many MVPs never launch or launch on a fragile foundation

βœ… A focused MVP sprint with ownership

  • βœ”You do not need to assemble a team, the technical contour is handled for you
  • βœ”We define what is in scope and what is not, so the MVP stays lean
  • βœ”AI is used to accelerate and reduce cost, but decisions stay under real ownership
  • βœ”You get a launch-ready starting point that can be developed further
Formula: hypothesis β†’ 1-2 key scenarios β†’ working MVP β†’ release β†’ data

How we work

transparent and practical

1

Idea review

We define the goal, audience, key scenario, and success criteria for the MVP.

2

Define the MVP

We decide what is included and what is excluded to stay inside the right budget and timeline.

3

Sprint-based development

AI accelerates routine work, while architecture, quality, and integrity remain under control.

4

Launch and handoff

Deployment and a handoff that makes further development realistic rather than theoretical.

What you get

outcome over process

πŸ“Œ Included

A working MVP

One or two key scenarios, data model, basic admin logic when needed, a presentable interface, and a deployed project.

  • βœ…
    Built for hypothesis testing
    without turning the first version into a bloated roadmap
  • βœ…
    Clear boundaries
    scope, timing, and deliverables are explicit
  • βœ…
    A real launch
    so users can try it and feedback can be collected
  • βœ…
    Typical formats
    landing sites, Telegram bots, mini apps, and API-first solutions
🚫 Not included

What does not belong in the first sprint

The offer is intentionally lean. Everything meant for later is moved into the next phase after the hypothesis is validated.

  • β›”
    Heavy scaling from day one
    designed for millions of users before validation
  • β›”
    Expensive analytics stacks
    deep BI and complex event architecture belong to the next stage
  • β›”
    β€œPerfect” execution
    the goal is to validate value, not overbuild the first version

FAQ

short answers to practical questions

How long does it usually take? βŒ„

Most MVP sprints fall into the 7-14 day range when the scope is kept to one or two key scenarios.

What if the idea is still rough? βŒ„

That is normal. We start with a short framing session and shape it into a clear, testable hypothesis.

Is this just AI-generated code? βŒ„

No. AI speeds up parts of the work, but architecture, coherence, quality, and launch remain under explicit responsibility.

Can the product be developed further after the MVP? βŒ„

Yes. The MVP is designed as a base that can be expanded after the first test validates what deserves investment.

Let’s discuss your idea and shape a fast MVP

Describe the project briefly and we will propose an MVP format that gives the most learning for the least initial cost.

Leave a request and we will reply with a practical MVP plan, rough cost, and next steps.