Rapid MVP Build for an AI Startup Founder – A Case Study | I will not promote

Hey r/startups, I wanted to share a case study from an early project that might resonate with founders in the MVP-building phase. A former Data Scientist at Coinbase—one of our very first US clients—approached us with a bold vision: build an AI-powered tool that automatically collects, organizes, and documents his work. Despite facing severe financial challenges (he even had to sell his car to keep his startup afloat), his determination to innovate was unwavering. **Our Achievements:** * **Speed:** We delivered the MVP in just **3 weeks** and had it fully demo-ready by week 4. * **Quality:** We built a production-grade product, complete with an AI-enabled classification module. * **Outcome:** He loved the solution and it quickly evolved into a recurring revenue generator, with multiple new features built on top of the initial version—and it even got shortlisted for a YC interview! This experience taught us a lot about balancing rapid development with maintaining high quality, even under intense pressure. Our journey—supported by a dedicated team—underscores the power of agile processes and strategic partnerships. I’d love to hear from fellow founders: * How do you balance speed and quality when building your MVP? * What challenges have you faced in prioritizing features under tight deadlines? * Any tips for staying resilient when the stakes are high? Looking forward to a great discussion and learning from your experiences! *Note: This isn’t a pitch—just sharing lessons learned in the startup trenches.*