You will get a working MVP built with coding agents, directed by a sr. product manager

Maksym M.Status: Offline
Maksym M. Maksym M.
Rising Talent

Let a pro handle the details

Buy Web Application Programming services from Maksym, priced and ready to go.
Maksym M.Status: Offline
Maksym M. Maksym M.
Rising Talent

Let a pro handle the details

Buy Web Application Programming services from Maksym, priced and ready to go.

Project details

Most product ideas never ship. The founder either does not know how to start, or the traditional path kills the urge before it begins: hire a team, wait months, spend a fortune.

There is a shorter path. I build the MVP you scoped, and nothing more. Coding agents write the code. I direct every decision, as a product manager with 11 years on both sides of the table. Your idea becomes a working product in weeks, not months.

You own everything from the first commit: repository, hosting, keys. I build in your accounts, so there is no handover and no lock-in.

Every build ships with tests and structured documentation, so the product is not just working, it is maintainable. The stack is free-tier by default: GitHub, Vercel, a free database, low-cost AI where it fits. If a paid service is ever needed, I flag the cost first and leave the decision to you. Delivery includes 30 days of support: bug fixes, small tweaks, and any questions about running or changing it. New features are a fresh scope, everything short of that is covered. Bought my MVP scope document first? Its price comes off this build. Valid 90 days.
What's included
Service Tiers Starter
$10,000
Standard
$15,000
Advanced
$20,000
Delivery Time 28 days 42 days 56 days
Number of Revisions
222
Number of Pages
5810
Design Customization
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Content Upload
Responsive Design
Source Code

Frequently asked questions

Maksym M.Status: Offline

About Maksym

Maksym M.Status: Offline
AI Product Manager | AI MVP Developer | AI App Developer | AI Product
Kyiv, Ukraine - 10:03 pm local time
Testing a product idea should not cost $100K and a year of your life.

The old way: hire a recruiter, assemble a technical team, wait 9 to 12 months, and only then find out whether the idea was worth building. Most founders spend the money before they learn the answer.

I build the same MVP alone, in 4 to 8 weeks, for a fraction of that cost. Think of me as an AI product manager and a full delivery team in one person. I pair 11+ years of product management with AI-assisted development, so you get a working product and the judgment behind it.

Why this beats hiring a typical AI developer:

I am a product manager first and a developer second. Knowing what a business actually needs, not just what is technically possible, is the skill I have sharpened for over a decade. Most AI developers are excellent at their craft, but were never trained to ask "is this the right thing to build" before writing the first line of code. I ask it every time.

My builds are not two-day vibe-coded prototypes that break the moment a real user touches them. Every product ships with automated tests, clear documentation, and a step-by-step build process. That is the discipline you would expect from a product manager running an engineering team, not a solo experiment.

I run two AI development agents in parallel, Claude Code and Codex, and switch between them depending on which one handles a task better. In practice this pairing beats relying on a single agent.

Every product gets real UI and UX thinking and clear user flows, not just a pile of features that look impressive.

What I cover end to end, without handing work off to a team:

- Product strategy and scoping: discovery, hypotheses, and a prioritized MVP roadmap, the way a senior product manager would run it.
- Full-stack web development: front end (React, Next.js, Tailwind) through to backend APIs, databases, and deployment.
- AI and machine learning integration: OpenAI GPT models, function calling, structured outputs, plus custom RAG pipelines when a product needs to reason over your own documents, not generic model knowledge.
- Data work: structuring data, building dashboards and heatmaps, and turning raw usage into a report with concrete, testable hypotheses, not just charts.

Recent MVPs built this way:

- A face-analysis MVP for a leading Ukrainian physiognomist. Users photograph their face from two angles, front and side, and the app reads facial landmarks to generate a report on their intuition. Built with Google MediaPipe running client-side, and Playwright end-to-end tests against a fake camera feed. The founder is preparing to test it with real users.

- A conversion-analytics tool that tracks clicks, mouse movement, and scroll depth on any website, builds heatmaps, and generates a data-backed report with concrete conversion hypotheses. It ships with roughly 300 unit tests and 90 automation tests, plus documentation an independent AI model graded 8.4 out of 10. Nothing ships until the tests pass. Tech: Next.js, React, Node.js, Neon Postgres, Playwright, Vercel.

- An A/B-testing simulator, built as three connected apps (Shop, Coach, and Student), that lets PMs practice the full experimentation loop: hypothesis, test, result, review. It runs a mock store seeded with real conversion problems to fix. Tech: Next.js App Router, PostgreSQL/JSONB, cookie-based auth, Vercel.

- (In progress) A visit-preparation tool for healthcare. Patients photograph printed medical documents with their phone, the app reads the key fields (doctor, date, clinic, type) for them to confirm, then shares a chosen set with a doctor through a secure, expiring link the patient can revoke at any time. Access controls are real: private storage, unguessable tokens, and revocation enforced server-side on every request, not hidden in the UI. In architecture and early build.

"Is this just another product that breaks after a minute?" Fair question. The answer is in how I build: tests first, docs always, and a product I would put my own name on.

Background across domains: automotive, finance, retail, and document management, with clients worldwide. Before this, I worked on checkout and growth across 9 European markets at Autohero, and helped launch a new business line at VavaCars. Earlier, I owned product in regulated, high-stakes domains: SEC reporting platforms used by public companies, a hedge fund data platform, and compliance tooling. That is where I learned the discipline I bring to fast builds. English at C1, used daily with international teams. Comfortable with async updates and working across time zones, so you always know where the build stands.

Who I work best with:

- Founders with a clear idea who want to see a real, working MVP before committing $100K and a year to a full team.
- Agencies and recruiters sourcing an AI product manager or developer for such founders.

If that sounds like what you need, send me a message and let's find time this week to see if we fit.

Steps for completing your project

After purchasing the project, send requirements so Maksym can start the project.

Delivery time starts when Maksym receives requirements from you.

Maksym works on your project following the steps below.

Revisions may occur after the delivery date.

Discovery

You submit scope, design, and account access. The delivery clock starts when everything is in.

Scope freeze

We have a call, then lock the MVP scope on a Miro board: what is in, what is out. If you brought my scope document, this is fast.

Review the work, release payment, and leave feedback to Maksym.