Most audits on the market look only at the code. We also look at whether the market needs the product, at its logic and at its business model, because the data from a working MVP often shows that part of the product should change before more money goes into it. That answer is often worth more than any technical recommendation.
MVP Review
You built the first version of your product with AI, people are using it, and now you need to know whether it can carry the next stage. The MVP Review gives you a clear answer: what in the product and the code can stay, what has to be fixed before real customers arrive and what is worth rebuilding.
From $3,000
What we check
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Code and security
Database access rules, authentication, how passwords, API keys and payment credentials are stored, exposed endpoints and outdated dependencies.
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Infrastructure
Repository and version history, backups and whether they can be restored, hosting, monitoring and how changes reach production.
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Architecture
Whether the data model and structure can hold more users, new features, integrations and other markets.
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Product logic
What the usage data shows, which flows work, where users stop, and whether the logic of the product should change before the next investment.
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05.
Interface
Where the design helps users move forward and where it gets in their way.
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Market and business model
Whether the market needs this product, who will pay for it and how much, whether the model holds up, and how an investor or a buyer would see it.
How it works
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You tell us about the product
Through a short form: what it does, what it is built with, how many people use it and what you plan next. We confirm the price before any work starts.
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You give us access
To the product, the repository or an export from the AI builder, the hosting and the analytics.
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Our team reviews it
A developer checks the code and infrastructure, an architect checks whether the structure will hold, and a product strategist reviews the logic and the data. Valeriya Chumachenko, our advisor with more than ten years in technology M&A, assesses the market, the business model and how investors and buyers would see the product.
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We present the findings
On a call and send the written report.
What you get
The report is yours. You can use it with us, with your own developers or with any other team.
A written report with a verdict for each part of the product: keep, fix or rebuild.
Critical risks to fix before real customers or payments, separated from improvements that can wait.
Recommendations on the product logic, based on what the data shows.
An honest view of whether the market needs the product, seen through the eyes of an investor or a buyer.
An estimate of the scope and budget of the next stage.
A 60 to 90 minute call where we walk you through the findings and answer your questions.
Get a cost and timeline estimate
Pricing
From $3,000
Most reviews cost $3,000 to $5,000, depending on the size of the code, the number of integrations and whether money or personal data moves through the product. The price is fixed before the review starts.
Payment is made in advance, and the fee is not credited toward later work. Several specialists work on every review, and the result is useful whether or not you continue with us.
All prices →Ask a question
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FAQ
How long does the review take?
Usually 5 to 10 business days after we receive full access.
Do you need access to the code?
Yes. Without the code we can only assess the product from the outside, which is not enough for a verdict on security or architecture.
What if the verdict is to rebuild?
The report explains why, what carries over and what the new foundation should look like. Even in a rebuild, the user flows, screens and data from the first version are kept.
Can you fix what you find?
Yes, as a separate project after the review. You are under no obligation to work with us on it.
How is this different from a strategic session?
A strategic session is for a working business deciding where to go next. The MVP Review is a technical and product assessment of a specific first version.
Is this the same as a vibe code audit?
It includes one: the code, security and infrastructure checks. It also covers product logic, the interface, the business model and the plan for the next stage, which most code audits leave out.
Our first version was written by a freelancer, not built with AI. Is the review the same?
Yes. We check the same things: code, security, data model, payments, hosting, product logic and the market. For a freelancer's work we also look at who holds the accounts and whether there are documents that assign the code to you.
What should I prepare before the review starts?
Access to the product, the repository or an export from the AI builder, the hosting and the analytics. A list of the outside services the product uses (payments, email, the AI model provider) and of who holds each account speeds up the start. The review usually takes 5 to 10 business days after we receive full access.
How is the MVP Review different from technical due diligence?
Technical due diligence is done for a buyer or an investor before a deal, about someone else's company: a session costs $1,500 and a full review starts from $7,500. The MVP Review is done for the founder of a first version, from $3,000, and adds product logic, the market and an estimate of the next stage.
Is the review fee credited if we continue with you?
No. The review is paid in advance and is not credited toward later work. Several specialists work on every review, and the report is written so that you can use it with us, with your own developers or with any other team.
Can we keep building with Lovable, Cursor or another AI tool after the review?
Often yes, when the verdict for a part is keep or fix. The minimum is a repository with a history of changes, a staging copy, backups that have been restored at least once and a short manual for the AI tools that work on the code. Changes to access rules and payments are worth a review by a developer before release.
What if the review shows that the market does not need the product?
The report says so, with the reasons: who already offers something similar, who would pay and how much, and how an investor would see it. In the first month and a half of the service, all four requests we received had close competitors that had launched six months to a year and a half earlier. Learning this before the next stage costs far less than learning it after.
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