MVP Development Services
From an idea to a working product people will pay for
- Sign-up
- Core workflow
- Billing
- Analytics
- Invites
- Integrations
- Public API
- SSO
- Idea to launch with one team
- Production-grade foundations, narrow scope
- Launched our own products: Blyn and Lunor
An MVP is a product, not a prototype
A prototype proves an idea can work. An MVP proves people will use and pay for it. That difference decides how it has to be built, and it is why our MVPs are narrow in scope but production-grade underneath.
Narrow scope
Real foundations
Built to learn
PoC vs prototype vs MVP
Three tools for three kinds of uncertainty: technical, design and market. Picking the wrong one wastes months. SyncScrum runs all three, often in that order.
| Consideration | Proof of concept | Prototype | MVP |
|---|---|---|---|
| Question answered | Can this technically work with our data or systems? | What should this look and feel like? | Will people use and pay for this? |
| Built with | Real data and systems, minimal interface | Design tools, little or no real logic | Production code, narrow scope |
| Audience | Your technical and product leadership | Stakeholders and test users | Real users and customers |
| Output | Working code, findings, go / no-go | Clickable screens and feedback | A live product and usage data |
| Typical length | Short and fixed-scope | Short | Phased sprints |
| When SyncScrum recommends it | An AI model, integration, platform or vendor claim needs proving first | The workflow is clear but the experience is not | The problem is validated and the technical risk is understood |
A proof of concept, when you need one
A prototype, when the experience is the risk
Then the MVP
From idea to a product people pay for, in nine stages
Not every engagement starts at stage one. Founders arrive with validated problems, and product teams arrive with prototypes. We join where you are.
- 01
Idea validation
Who has the problem, how they solve it today, what they would pay for, and what evidence exists. Interviews and a landing test before a line of code.
Validated problem and first segment - 02
Discovery and scope
The one workflow the product must nail, ranked features (must, soon, later), integrations, and the measure that will say it worked.
Written MVP scope - 03
Product strategy
Pricing model and its implications for metering and billing, tenancy model, what to integrate versus build, and the launch plan.
Strategy decisions written down - 04
UX and prototyping
Flows and screens for the core workflow, prototyped and tested with real users before engineering commits.
Clickable prototype and design system - 05
Technical architecture
Data model, authentication, tenancy, billing integration, hosting and CI/CD chosen so the MVP grows into the product.
Architecture brief - 06
MVP engineering
Short sprints, working software demoed every sprint, tests for what matters, a staging environment from day one.
Working increments - 07
Launch
QA, analytics, error tracking, monitoring, a launch checklist and the first real users.
Live MVP - 08
User feedback and iteration
Usage data and interviews shape the next releases. Features earn their place with evidence.
Roadmap driven by usage - 09
Scaling after validation
Onboarding, permissions, integrations, performance and the second wave of features, with a team sized to the stage.
A product, not just an MVP
SaaS MVPs and AI MVPs
Two kinds of first product need particular foundations. We build both, and we have shipped our own.
Sell from the first customer
Tenancy, sign-up, roles and Stripe billing built in from the start, so the MVP can take money and the architecture does not need replacing when the second customer arrives. Blyn, our own SaaS platform, started exactly this way.
- Multi-tenant from day one
- Stripe plans and trials
- Self-serve onboarding
- Usage analytics
Prove the model, then build the product
A short proof of concept on your real data first, measured against an evaluation set. Then the smallest product around it: interface, retrieval or model integration, guardrails, and the monitoring that keeps quality and cost visible.
- PoC on real data
- Evaluation set
- RAG or model API
- Cost and quality monitoring
What drives the cost of an MVP
We do not publish prices, because an honest number depends on these. The scoping workshop turns them into a phased estimate with the assumptions written down.
- The size of the core workflow and the number of user roles
- Platforms: web, mobile or both
- Integrations with payment, CRM, messaging or legacy systems
- Whether multi-tenancy and billing are needed at launch
- Design polish and the amount of user testing
- How much is integrated (auth, billing, email, storage) instead of built
What drives the timeline
Working software ships every sprint, so the question is less “when is it done” and more “how soon can users touch it”.
- How settled the scope is before engineering starts
- Speed of decisions and feedback on your side
- Third-party dependencies: app-store review, API access, data availability
- Compliance or security requirements that must be met at launch
- Whether a proof of concept is needed first to remove technical risk
What an MVP build from SyncScrum contains
Validation and scoping
UX and prototype
Authentication and accounts
The core workflow
Billing and analytics
Deployment and monitoring
Products we launched the same way
SyncScrum builds and operates its own products. Both started as a narrow first version and grew from there.
A SaaS platform that grew from one product to three
BioCard, an email signature builder and a website builder that starts from a Google listing, with Stripe billing, custom domains and analytics behind a single dashboard.
How we built BlynA browser extension shipped to the Chrome Web Store
Design-token extraction, contrast checks and Tailwind export, released as a focused tool and extended feature by feature.
Explore LunorHow an MVP engagement runs, sprint by sprint
Step 1: Scoping workshop
The one workflow, the ranked feature list, the integrations and the success measure, agreed and written down.MVP scope documentStep 2: Design sprint
Flows and screens for the core workflow, prototyped and reviewed with you and a handful of users.Clickable prototypeStep 3: Foundations sprint
Auth, data model, billing integration, environments and CI/CD.Deployable skeletonStep 4: Feature sprints
The core workflow built in short sprints, demoed to you as working software each time.Working incrementsStep 5: Launch
QA, analytics, monitoring and a launch checklist, then the first real users.Live MVPStep 6: Learn and iterate
Usage data and feedback shape the next release, with a team sized to the stage you are in.Evidence-driven roadmap
Founders on building with SyncScrum
Published feedback from founders we have built and iterated products with.
“I highly recommend Sync Scrum. They are diligent, reliable, and efficient, delivering high-quality results with proactive communication, making collaboration seamless for building AI products successfully.”
“Sync Scrum supported us excellently after a key team member resigned, delivering a well-designed solution ahead of schedule, communicating reliably, and saving a client demo, ensuring business continuity.”
The MVP stack
Chosen so a small team ships fast without painting the product into a corner.
Product
- Next.js
- React
- Tailwind CSS
- Flutter
Backend and data
- Node.js
- Python
- PostgreSQL
- Supabase
- Firebase
Building blocks
- Stripe
- OpenAI
- Redis
Cloud
- AWS
- Google Cloud
- Azure
- Docker
MVP development questions, answered
Including the two everyone asks first: cost and time.
What is an MVP, in your definition?
The smallest version of a product that real users can use to get real value, built well enough to keep. It is not a throwaway prototype and it is not the full product with fewer colours. The scope is narrow; the foundations (authentication, data model, billing, deployment) are production-grade.
What is the difference between a proof of concept, a prototype and an MVP?
A proof of concept answers a technical question (can this work with our data or systems?) with working code and evidence. A prototype answers a design question (what should this look and feel like?) with clickable screens. An MVP answers a market question (will people use and pay for this?) with a real product for real users. SyncScrum does all three, and the comparison on this page is how we decide which one you need first.
How much does MVP development cost?
It depends on the workflow being built, the platforms (web, mobile or both), integrations, whether billing and multi-tenancy are needed, and the level of design polish. We do not publish prices because the honest answer is a scoped estimate. After a scoping workshop you receive a phased estimate with the assumptions written down, so you can decide on the first phase before committing to more.
How long does an MVP take to build?
The main factors are the size of the core workflow, the number of integrations, how much is integrated rather than built (auth, billing, email), and how quickly decisions are made on your side. We do not publish a fixed number; the scoping workshop produces a phased plan, and you see working software every sprint rather than waiting for a date.
How do you decide what goes into the MVP?
We map every candidate feature against the one workflow the product must nail, then sort into must-have for launch, should-have soon after, and later. The must-have list is what gets built. This is done with you in a scoping workshop and written down before engineering starts.
Can the MVP scale, or will we have to rebuild?
It is built so you do not have to rebuild. Authentication, tenancy, data modelling and deployment are done properly from the start; only the feature set is narrow. Growing from MVP to full product is covered by our SaaS development service.
Do you build AI MVPs?
Yes. An AI MVP usually starts with a short proof of concept on your real data to confirm the approach works, then the smallest product around it: the interface, the retrieval or model integration, guardrails and the monitoring needed to run it. Our AI development service covers what comes after.
Do you help with product decisions, not just code?
Yes. Idea validation, scoping, prioritisation, pricing-model implications, analytics and what to measure after launch are part of the engagement. We have made these calls for our own products, Blyn and Lunor.
What technologies do you use for MVPs?
Usually Next.js and React, Node.js or Python, PostgreSQL or Supabase, Stripe for billing and a managed cloud platform, because they let a small team ship fast without painting the product into a corner. Flutter when the MVP needs to be a mobile app.
What happens after the MVP launches?
Analytics and user feedback drive the next release. Most founders continue with a smaller retained team or a dedicated team, and some add SyncScrum engineers to their own growing team through staff augmentation.
After the MVP
Where validated products usually go next.
Growing the MVP into a multi-tenant product with billing, integrations and scale.
Production AI engineering once an AI MVP has proven the approach.
What a dedicated engineer costs and how fast one starts, for when the MVP proves out and the roadmap keeps going.
Bring the idea. We will help you find the smallest version worth building.
A scoping conversation is free and usually saves weeks of building the wrong thing.
