MVP Development
Web apps, internal tools, and AI-powered products — built to handle real users, not just demo environments. React to infrastructure, shipped by someone who owns the whole stack.
Sound Familiar?
From Idea to 1,000 Paying Users in 6 Weeks
The Situation
Founder had a validated idea, some seed funding, but no technical co-founder. Needed to prove traction before the round closed.
The Approach
Minimal viable product: core feature only, no polish. Launched to early adopters, collected feedback, iterated. Used AI to accelerate development.
"We raised $800k with the MVP Jose built. Got to market in 4 weeks, validated the concept, then scaled with confidence."
— Emily Zhang, Co-founder at TaskGenius
What You Get
How It Works
Scope the MVP
What is the smallest version that proves your idea works? We ruthlessly prioritize. No feature creep.
Design & build
UI/UX design + development happen in parallel. You see progress every few days, not at the end.
Test thoroughly
Automated tests, load testing, security review. We find problems before users do.
Launch & iterate
Deploy to production. Monitor errors in real-time. Add features based on actual user behavior.
Ready to Get Started?
Book a free 15-minute call to discuss your project. No commitment, no sales pitch — just an honest conversation about what you need.
Common Questions
How do you define "MVP" to keep scope minimal?
MVP = the smallest thing that validates your hypothesis. Not "what would be nice." Not "what the final product looks like." Just: what do users need to experience the core value?
What tech stack do you use for MVPs?
Next.js, Supabase/PostgreSQL, Vercel deployment. Standard stack that scales if needed but does not over-engineer a new product. AI features built on OpenAI/Anthropic APIs.
Can you help with product strategy, not just development?
Yes. I have seen many MVPs fail not for technical reasons but product reasons. Happy to discuss positioning, user research, and feature prioritization.
What if we need to pivot after launch?
I build for flexibility. Clean architecture means pivots are easier. If you need to change direction, we refactor the specific parts that need changing, not the entire system.
Do you help with launch preparation?
Yes. Setup: analytics, error monitoring, performance baseline. Launch: deployment to production, load testing, go-live support. Post-launch: review metrics, prioritize next features.