The Real Cost of Rebuilding an MVP Twice
Rebuilding your MVP is expensive — in time, money, and trust. Learn what drives costly do-overs and how to build your product right the first time.
During this webinar, we have talked about
Why so many startups rebuild their MVP
The hidden cost of rebuilding
What scalable MVP architecture actually looks like
How AI-assisted development is changing MVP timelines
A practical framework to launch a scalable MVP in 30 days
Case Studies
Developing a Data-Driven Presentation Builder MVP
Challenge:
The client needed to deliver a data visualization MVP before an investor demo.
Solution:
Integrated Google Sheets, Slides, and Drive APIs for real-time data sync and export.
Enabled automated slide creation and PowerPoint export with consistent chart rendering.
Restructured the app architecture for scalability and fast deployment via Heroku CI/CD.
Added GA4 event tracking to analyze user engagement and guide future improvements.
Result:
Delivered a fully functional MVP within 3 months, reducing presentation creation time from hours to minutes and providing actionable analytics for product validation.
Building an MVP for a UK Rail-Ticketing Startup in 12 Weeks
Challenge:
Choo Choo wanted us to develop an MVP for a rail-ticketing platform to bring convenience to users through features and user-centric UX.
Solution:
Ran a 2-week Scope Workshop to define vision and technical plan.
Delivered high-fidelity wireframes, brand system, and MVP architecture.
Built core features: e-ticketing, split-fare savings, real-time alerts, delay-repay wizard.
Used Expo + Next.js (single codebase), Stripe for payments, JWT auth.
Ran agile sprints with weekly demos and integrated testing.
Result:
In 12 weeks, MVP delivered to App Store & Google Play.
Fast GTM, accreditation with UK railways, and a partnership with Raileasy.
Creating an AI-Powered Talent Acquisition Platform
Challenge:
DBBS helped a startup improve its core product, an applicant tracking system, through new features, complete redesign, and scalable architecture.
Solution:
Implemented a modern front end using React, TypeScript, Next.js, Tailwind CSS, and Radix UI for intuitive UX.
Leveraged LLMs and cloud AI services to improve core functionality with AI.
Built out user management, data import/export, CI/CD pipelines, and automated testing.
Optimized performance and reduced AI-related operational costs.
Result:
Successful MVP launch with positive early-adopter feedback, better control over operational costs, and a robust, scalable architecture for future growth.
Advancing an AI-Powered Meeting Management Platform
Challenge:
A technology product company wanted to improve and expand the reach of its AI-powered meeting management platform that records government meetings.
Solution:
Developed an admin panel to manage data and migrate workflows.
Implemented a Boolean search engine for document research.
Created scrapers for pages with live broadcasts in different locations.
Migrated the solution to AWS-based PostgreSQL.
Result:
The solution is moving to a dedicated platform, and the team is implementing a dedicated search engine for audio transcriptions.
Ready to build it right the first time?
"Don't let your MVP become a costly do-over. We help founders get it right the first time so you can save your budget for scaling, not rebuilding.
Let's discuss your project. Fill out the form and book a free consultation!”
Mina Morkos
Business Development Manager
