MLP Development
Build a Minimum Lovable Product, Not Just an MVP
MVPs prove your product works. MLPs prove your users love it. That difference determines whether you get traction, retention, and funding.
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Typical MLP timeline
10–12 weeks
From kickoff to production deployment
40%
Faster than in-house
$40K–$150K
Typical investment
"Sprint19 delivered exactly what we scoped, on time, with no surprises."
Marty, Founder at FabForeDev
Why MLPs outperform MVPs
The difference isn't just semantic. It's the difference between a product users endure and one they recommend.
Traditional MVP
- "Does it work?"
- Functional but rough UX
- Users tolerate it
- High churn after first use
- Hard to raise funding on
- 6–18 months (often)
Sprint19 MLP
- "Do users love it?"
- Polished UX from day one
- Users recommend it
- Retention and word-of-mouth built in
- Fundable and defensible
- 10–12 weeks to ship
What's included in every MLP build
No surprises. Every Sprint19 MLP engagement covers the full product lifecycle, from strategy to deployment.
- Product strategy & feature prioritization
- Full UX/UI design (wireframes → hi-fi → prototype)
- Frontend + backend development
- API integrations
- Quality assurance & testing
- Production deployment
- Documentation & knowledge transfer
- 30-day post-launch support
Sprint19 reduces typical build times by 40%, without cutting corners on UX or code quality.
Our stack includes
Senior engineers, AI on every keyboard
Every engineer here builds alongside Claude and Cursor daily. They lean on AI to weigh approaches, stand up the routine scaffolding, build out test suites, and give their own pull requests a first review pass before a teammate ever opens them.
The repetitive work shifts to the machine. The judgment stays human: the architecture, the trade-offs, and the call on what good actually looks like. That is how we move faster without trading away quality.
What we hand to AI
- Weigh approaches and trade-offs faster
- Scaffold the routine parts, never the core logic
- Build and maintain test suites
- First-pass review on our own pull requests
10–12 weeks, phase by phase
Structured sprints. Weekly visibility. No surprises.
Discovery & Strategy
Deep-dive into your idea, users, and market. We map the critical assumptions, define the MLP scope, and agree on success metrics.
Design
Wireframes → hi-fi mockups → clickable prototype. You sign off on the design before a line of code is written.
Build
Agile sprints with weekly video demos. You see real progress every week, no black boxes.
Launch
Production deployment, monitoring setup, and a 30-day support window. Your MLP is live and defensible.
What does an MLP cost?
Scope determines price. Most Sprint19 MLP engagements range between $40K–$150K, significantly less than the $200K–$400K annual cost of a comparable in-house team.
Get Your Build Quote in 48 HoursMLP questions, answered
Honest answers up front, so your 30 minutes with us focuses on your product, not admin.