How We Built the Adworthy.ai MVP in 3 Days Using Lovable AI

10 min read
Alireza Bashiri
Alireza Bashiri
Founder
Adworthy.ai MVP Development

We built Adworthy.ai, a platform that creates ads in seconds, in just 3 days, showcasing the power of rapid MVP development. Here's how:

  • Goal: Simplify ad creation by offering 300+ pre-tested ad templates and a style-matching tool for platforms like Pinterest and Facebook.
  • Tech Stack:
  • Process:
    • Day 1: Backend setup with Supabase (database, authentication, credit system) and domain configuration via Cloudflare.
    • Day 2: Built the Style Matching system (paste a Pinterest URL to replicate ad styles) and designed a user-friendly dashboard.
    • Day 3: Tested, debugged, and launched the platform.

Result: A live MVP offering instant ad creation starting at $19/month, saving users hours and reducing costs compared to traditional design services ($50-$200 per ad).

Want to know how we did it step-by-step? Keep reading.

Lovable.dev Tutorial & Full Site Build w/Supabase 🔥 (Step-by ...)

Day 1: Building the Base System

The first day was all about creating a solid foundation for Adworthy.ai. We concentrated on setting up the backend with Supabase and managing domain configurations through Cloudflare.

Supabase Backend Setup

Supabase was chosen for its feature set, and we implemented three key elements:

  • Database Schema: Designed a schema to store over 300 ad templates.
  • User Authentication: Used Supabase's built-in authentication system to ensure secure user access.
  • Credit System: Added credit tracking to support our tiered pricing model:
    • Starter tier: 100 credits/month
    • Pro tier: 500 credits/month
    • Enterprise tier: 1,500 credits/month

Domain and DNS Setup with Cloudflare

Cloudflare

Cloudflare was used to handle domain management due to its reliability and security:

  • DNS Configuration: Set up A records and CNAME entries to efficiently route traffic through Cloudflare's proxy services.

This setup lays the groundwork for processing Pinterest URLs and future Facebook Ads integration. With the basics in place, we moved forward to focus on core feature development on Day 2.

Day 2: Building Main Features

On the second day, our focus shifted to creating the Style Matching system and designing a user-friendly interface.

Developing the Style Matching System

The highlight of the day was building the Style Matching system, which allows users to recreate ad designs by pasting a Pinterest URL. We connected this system to an extensive ad template database, giving users access to a wide range of styles instantly. This feature simplifies the process of analyzing competitors' successful ads, cutting down what used to take hours into just a few seconds. This efficiency laid the groundwork for an equally simple and effective user interface.

Crafting the User Interface

The user dashboard was designed with two key elements:

  • Template Gallery: Browse a collection of proven ad templates.
  • URL Input Field: Instantly process Pinterest URLs for style matching.

These components were seamlessly integrated with the backend to ensure smooth data flow and real-time updates. By simply pasting a Pinterest URL, users can start matching ad styles without navigating through complicated menus. This approach keeps the focus on quickly creating impactful ad designs.

Day 3: Final Testing and Launch

Quality Assurance

Using Lovable AI's debugging tools, we thoroughly tested the ad generation system, paying special attention to the Style Matching feature. Through A/B testing, we confirmed that the system effectively processed over 300 ad templates. The debugging tools allowed us to quickly spot and fix issues as they arose.

Once all features passed testing, we moved forward with launch preparations.

Platform Launch

After completing this final round of validation, we wrapped up our three-day sprint and got the platform ready for launch. All features were verified, and the final build was deployed, ensuring the Style Matching, template library, and A/B testing framework functioned as intended.

The platform officially went live, marking the successful conclusion of the sprint. Lovable AI's integration played a key role in enabling a fast deployment and reliable performance.

What We Learned

Building Adworthy.ai in just three days gave us important insights into creating an MVP quickly with modern tools. Using Lovable AI and Supabase played a major role in helping us meet our tight deadline. Here's what stood out:

Fast Development Without Sacrificing Quality
Lovable AI's framework allowed us to develop complex features - like Pinterest URL-style matching - in record time. Tasks that would typically take weeks were finished in just days.

Efficient Template Management
Supabase handled over 300 ad templates with ease, ensuring users had immediate access to a wide variety of ad styles.

Quick Feature Integration
Alireza Bashiri highlighted one standout feature:

"You can find similar ads by pasting a Pinterest URL - 300+ proven ads are stored as templates daily"

This was implemented in mere days, showcasing how modern tools can speed up feature development.

Lower Costs
The project was completed at a fraction of the cost compared to traditional design services.

Scalable Infrastructure
Supabase powered backend operations, while Cloudflare managed DNS. Together, they supported instant ad style matching and large-scale template storage.

Faster Time-to-Market
With the right tools and a focused approach, we turned an idea into a live product in just three days. This rapid timeline showed how effective the right tech stack can be.

These takeaways highlight how modern platforms can simplify and speed up the process of building advanced web applications. The success of our three-day build demonstrates the power of combining the right tools with a clear plan.

Conclusion

In just three days, we demonstrated how modern tools can speed up MVP development. The platform we built includes over 300 ad templates, Pinterest-style URL matching, and plans for A/B testing alongside Facebook Ads API integration. What typically takes weeks or months was completed in mere days, reshaping both timelines and costs.

With pricing starting at $19 per month, this platform makes professional ad creation affordable. For comparison, traditional design services usually charge between $50 and $200 per design.

Key Technologies Comparison

ToolPrimary FunctionImplementation Time
Lovable AIRapid app development frameworkLess than 1 day
SupabaseBackend infrastructure1 day
CloudflareDNS and securitySeveral hours
Style Matching SystemTemplate processing1 day

Interested in building your own MVP quickly? Check out our Complete Guide to Building an MVP or learn about 8 Ways to Validate Your MVP Before Full Development. For a different approach, see how to build a scalable MVP in 2 weeks.