MVP

Transform your AI automation idea into a production-ready MVP. $7,000 per two-week sprint. Typical projects$21-28k over 6-8 weeks with full team: UX designer, growth manager, and fullstack engineers.

Stop Planning. Start Shipping.

How long does it take to build an MVP? Our 6-week MVP process (3 sprints at $7,000 each) transforms your idea into a production-ready application. Full team included: UX designer, growth manager, and fullstack engineers.

You have an AI automation idea. Maybe it’s been sitting in your backlog for months. Maybe your team keeps talking about it but never starts. Maybe you tried building it but got stuck in complexity.

We turn that idea into production reality. Like Snacker.ai - from Lovable prototype to 5,000+ users and paying customers in 3 months.

The 6-Week MVP Process

What exactly do you deliver in 6 weeks? A complete AI-powered MVP with core features, deployment infrastructure, authentication, documentation, and 30 days of support. Full team (UX, growth, engineering) for $21-28k total investment.

1. Week 1: Discovery & Architecture

   Monday: Kickoff call to understand your vision and constraints

   Tuesday-Wednesday: Map workflows and identify integration points

   Thursday: Present technical architecture for approval

   Friday: Finalize specifications and success metrics

2. Week 2: Core Development

   Build the foundation: - Set up infrastructure and deployment pipeline - Implement core business logic - Create data models and storage layer - Build authentication and security

3. Week 3: Intelligence Layer

   Add the AI magic: - Integrate LLM capabilities (GPT-4, Claude, etc.) - Implement prompt engineering and optimization - Build error handling and fallback systems - Create structured output generation

4. Week 4-5: Integration & Testing

   Connect everything: - API integrations and webhooks - Third-party service connections - End-to-end testing scenarios - Performance optimization

5. Week 6: Polish & Deploy

   Ship to production:

   • Complete testing and edge case handling
   • Deploy to your environment
   • Conduct handoff training with your team
   • Deliver documentation and maintenance guides

What Makes a Good MVP Candidate?

Is my idea suitable for a 6-week MVP? If you have a clear workflow to automate, available data sources, and a single core use case, you’re likely a perfect fit for our MVP process.

✅ Perfect Fit

• Clear, repetitive workflow to automate
• Existing manual process taking 10+ hours weekly
• Available data sources and APIs
• Single core use case to optimize
• Team ready to adopt new tooling

Examples:

• Lead qualification system
• Document processing pipeline
• Content generation workflow
• Customer support automation
• Data extraction and reporting

🔄 Needs More Scope

• Multiple complex integrations required
• Custom UI/dashboard needed
• Multiple user roles and permissions
• Advanced ML model training
• Compliance or regulatory requirements

Examples:

• Multi-tenant SaaS features
• Complex analytics dashboards
• Regulated industry tools
• Real-time processing systems
• Cross-platform synchronization

🏢 Enterprise Engagement

• Mission-critical system replacement
• Real-time processing requirements
• Multiple departments involved
• Complex data migration needed
• Extensive change management required

Examples:

• ERP system integration
• Core business process automation
• Company-wide AI deployment
• Legacy system modernization
• Compliance-heavy implementations

Technology Stack

Why do you use these specific technologies? 10 years of experience has taught me what works. T3 stack, TanStack Start, Hono, NestJS - modern TypeScript that scales from MVP to production. Type-safe, battle-tested, fast.

Frontend

React, TypeScript, TanStack Start, Next.js, Vite, Tailwind CSS

Backend

Node.js, Hono, Express, NestJS, Python, Go

Full Stack

T3 Stack, Monorepo (Turborepo), Serverless architectures, TanStack Query

AI/LLM

OpenAI GPT-4, Claude 3.5, Gemini, Custom agent frameworks

Automation

Playwright, Puppeteer, BullMQ, Trigger.dev, n8n, Kestra

Infrastructure

AWS, Kubernetes, Redis, Prometheus, Grafana, Railway

Testing

Jest, Vitest, Cypress, Playwright, TDD workflows

Databases

PostgreSQL, Neo4j, MongoDB, Drizzle ORM, Prisma

View Full Tech Stack

See our complete technology stack with detailed explanations of why we chose each tool and how they work together to ship production-ready systems.

See Our Work in Action

Check out our open source projects and examples on GitHub

We believe in showing, not telling. Our GitHub showcases real implementations, from Chrome extensions to LLM workflows.

GitHub Portfolio

Browse our open source projects and code samples. See the quality and approach we bring to every project.

Case Studies

Read detailed breakdowns of systems we’ve built, including technical architecture and business results.

Why Our Approach Works

Focus on Core Value

We don’t build everything - we build the one thing that matters most. The 20% of features that deliver 80% of value. This laser focus ensures you get maximum impact.

Proven Patterns

After 100+ projects, we have templates, libraries, and patterns that accelerate development. We’re not figuring it out - we’re applying what works. This means faster delivery and fewer bugs.

Senior Execution

I personally lead every MVP sprint. 10 years of commercial full-stack development. No junior developers learning on your dime. Senior expertise from day one means better architecture decisions and cleaner code. I’ve built and sold three products, contributed to MIT’s AI course, and shipped production code for companies handling millions of sessions.

Opinionated Decisions

We make technical decisions quickly based on experience. No analysis paralysis or committee reviews. We know what works and we implement it efficiently.

Success Metrics We Target

What Happens After the MVP?

Option 1: Run With It

Your team takes ownership and extends the system. We provide complete source code, documentation, and 30 days of support.

Option 2: Iterate Together

Continue development with our sprint cycles. Add features based on user feedback, scale to handle more volume, optimize performance.

Option 3: Full Production

Upgrade to enterprise-ready system with advanced monitoring, multi-tenant architecture, compliance audits, and custom UI.

Common Questions

What if my idea changes during development?

We expect some evolution. The weekly check-ins ensure we’re building the right thing. Major pivots might require scope adjustment, but minor changes are part of the process.

Can you work with our existing codebase?

Yes. We integrate with your current systems, databases, and workflows. The MVP becomes part of your ecosystem, not a standalone island.

What about security and compliance?

We follow security best practices by default. Specific compliance requirements (HIPAA, SOC2, etc.) may require additional scope, which we’ll identify during discovery.

How do you deliver so fast?

Focus, experience, and proven patterns. We’ve built similar systems many times. We know what works and what doesn’t. We don’t waste time on things that don’t matter.

What if we need changes after delivery?

You get 30 days of support included. After that, we offer maintenance packages or can train your team to take over. The code is 100% yours.

Do you sign NDAs?

Yes, we’re happy to sign NDAs. We treat all client work as confidential by default. Your competitive advantage stays yours.

Real MVP Success: Snacker.ai

From Lovable prototype to production SaaS in 3 months

Snacker.ai started as a broken Lovable prototype. We stabilized the codebase, integrated AI-powered video editing, and launched to market. Result: 5,000+ users, 20 paying customers, and a productized service that transformed GrowthMatch’s business model.

Read the full Snacker.ai case study →

What We Actually Built:

• AI Video Editing: Zero-UI editing that removes gaps and mistakes automatically
• 20-Second Turnaround: From recording to polished, shareable video
• Browser-Based Processing: WebCodecs API with HLS streaming workarounds for iOS
• Multi-Platform Distribution: One-click publishing to LinkedIn, X, YouTube
• Investment: $21-28k over 6-8 weeks (3-4 sprints with full team)
• Result: Production-ready app with paying customers

Start Your MVP Sprint

Get Started

Learn more about how we work together and start your AI automation journey with our proven process.

View Our Work

Check out our GitHub to see code quality, project examples, and open source contributions.