How I Built an $8M Monthly Revenue Period Tracker App with AI: A Step-by-Step Guide

This period tracker app is generating $8 million in monthly revenue, and the entire application was built without writing a single line of code.

The process followed a methodical approach that anyone can replicate to create a fully functional app capable of generating substantial revenue.

The key challenge with most no-code tools is that while they excel at design aspects, they often fall short in establishing crucial backend components like user accounts and payment processing systems.

After extensive testing of various AI coding tools over recent months, I’ve identified the most user-friendly and effective tool currently available for individuals with zero coding experience.

The methodology presented here is particularly effective because it utilizes just one comprehensive AI tool – the most powerful AI coding assistant currently available.

This isn’t merely creating a basic prototype but developing a complete clone with all premium features that have made the original Period Tracker app worth millions of dollars.

The process demonstrates how straightforward it can be to transform a concept into a functioning application capable of generating significant revenue using AI technology.

We strongly recommend that you check out our guide on how to take advantage of AI in today’s passive income economy.

The AI Tool: Lovable

The AI tool that handles everything in this app development process is called Lovable, a powerful platform that streamlines app creation for non-coders.

Lovable stands out from other AI tools by offering comprehensive functionality that addresses both frontend and backend development needs in one integrated solution.

The platform uses advanced AI to translate simple prompts into complex application features, making sophisticated app development accessible to everyone regardless of technical background.

With Lovable, users can describe what they want in plain language and watch as the AI transforms these descriptions into fully functional application components.

The platform handles complex tasks like user authentication, database setup, and payment processing integration that would typically require extensive coding knowledge.

Lovable’s intuitive interface allows users to refine and modify their applications through simple text prompts rather than complicated code adjustments.

The tool’s ability to automatically debug issues further simplifies the development process, making it truly accessible for beginners.

Step 1: App Idea Generation and Planning

The first step involves instructing Lovable on exactly what type of application to create by providing a comprehensive prompt.

The initial prompt specified a “full-featured period tracking app with a modern UI design” that includes period and fertility tracking, symptom tracking, pregnancy mode, and health insights with educational content.

Within seconds of receiving this prompt, Lovable generated a fully designed app called Harmony that appeared remarkably professional and market-ready.

The initial design served as an excellent starting point, though it required refinement to enhance user experience and functionality.

This demonstration of AI-powered app generation represents a significant shift in how applications can be developed, drastically reducing the time and technical expertise traditionally required.

The speed at which Lovable translated a simple text prompt into a comprehensive application design showcases the powerful capabilities of modern AI in application development.

This approach to ideation and initial design eliminates many barriers that previously prevented non-technical entrepreneurs from entering the app market.

Step 2: Refining Navigation and User Interface

After generating the initial app design, the next critical step involved refining the navigation system to ensure intuitive user experience.

The initial navigation structure was somewhat clunky and required streamlining to make the app more user-friendly and accessible.

A prompt was sent to Lovable requesting improved navigation between the different sections: period and fertility tracking, symptom tracking, pregnancy mode, and health insights with education.

Within seconds, Lovable reorganized everything into four clear sections: period tracking, symptoms, pregnancy, and insights, creating a more intuitive user flow.

Despite this improvement, there remained an unnecessary navigation bar at the top with tabs labeled calendar, insights, learn, and profile that created potential confusion.

Another prompt was sent to remove these redundant navigation elements, resulting in a sleeker, simpler, and more user-friendly interface.

This iterative design process demonstrates how quickly and effectively AI can respond to specific feedback and refinement requests without requiring technical design skills.

Step 3: Setting Up User Authentication

A crucial aspect of any health tracking application is secure user authentication that ensures personal health information remains protected and accessible across devices.

The implementation of user authentication was accomplished by prompting Lovable to support account creation, data storage, and secure authentication before adding individual features.

This process involved connecting the app to Superbase, which handles backend storage and authentication systems without requiring complex coding.

Setting up Superbase proved surprisingly straightforward, beginning with signing in and granting Lovable the necessary permissions to integrate with the project.

Creating a new project in Superbase required simply naming it and establishing a secure database password, after which the backend was ready to connect with the application.

Connecting the authentication system involved asking Lovable to link the signup and login pages with Superbase, a process that generated a unique URL for establishing the connection.

This URL was then pasted into the Superbase dashboard under the authentication section’s URL configuration field, completing the integration between the app and its backend system.

Step 4: Testing Authentication and Making Adjustments

After establishing the authentication system, testing revealed an issue that required adjustment to improve user experience.

The initial test involved creating a new account, entering an email address and password, then attempting to log in to verify functionality.

While the basic process worked, Superbase’s default settings required email confirmation before allowing users to access their accounts, creating an unnecessary friction point.

For an app focused on health tracking, requiring email verification before each login presents an obstacle to regular usage and data entry.

Fortunately, this issue was easily resolved by accessing the Superbase dashboard, navigating to authentication settings, and disabling the default email confirmation requirement.

Under the “O providers” section, the email confirmation toggle was switched off and saved, eliminating this barrier to seamless app access.

This adjustment ensured users could log in instantly without checking their email inbox, significantly improving the overall user experience and reducing potential abandonment.

Step 5: Implementing Period Tracking Functionality

With authentication working smoothly, the next step involved developing the core functionality of period tracking to transform the attractive interface into a useful tool.

The implementation began with a prompt to Lovable requesting a user-friendly period tracking interface where users could easily log their period start and end dates.

As with any automated development process, occasional errors appeared, but Lovable’s built-in debugging feature allowed for quick resolution through its “try to fix it” button.

The preview function provided a real-time look at the developing application, showing a clean interface with a “log period” button that opened a selection menu for start and end dates.

Once date information was entered, it automatically reflected in the insights tab, providing users with a clear history of their menstrual cycles.

To enhance functionality beyond manual tracking, another prompt was given to implement AI-powered predictions of future cycles and ovulation based on past data.

This addition enabled the app to automatically display upcoming periods and fertile windows, making the tracking process more valuable and effortless for users.

Step 6: Adding Symptom Tracking Capabilities

Beyond basic period tracking, understanding bodily changes throughout the menstrual cycle provides valuable health insights, making symptom tracking an essential feature.

The implementation of symptom tracking began with a prompt to Lovable to create functionality allowing users to log daily mood, physical symptoms like cramps or headaches, and sleep patterns.

Once implemented, testing revealed that while the data storage worked properly, the plain text display wasn’t engaging or conducive to identifying patterns over time.

To enhance data visualization, another prompt requested displaying symptom tracking in interactive charts or graphs that would make patterns more readily apparent.

This visual approach transformed the symptom data into easily interpretable trends, helping users identify correlations like pre-period headaches or sleep changes throughout their cycles.

As with previous features, any errors encountered during development were quickly addressed using Lovable’s automated troubleshooting capabilities.

The final symptom tracking section provided comprehensive functionality allowing users to log symptoms, mood, and sleep patterns, then visualize them in detailed interactive charts for effortless pattern recognition.

Step 7: Implementing Pregnancy Mode

To make the application more versatile and valuable to users at different life stages, a pregnancy mode was implemented with both conception planning and pregnancy tracking capabilities.

The development began with a prompt to Lovable requesting a fertility tracking mode that would predict ovulation and the most fertile days for users planning conception.

The resulting fertility tracker provided clear information about upcoming fertility windows and ovulation dates, eliminating guesswork and complex cycle calculations.

For users already pregnant, an additional feature was requested to track fetal development by weeks and provide educational content based on trimester progress.

The completed pregnancy mode included a fetal development tracker with weekly updates, trimester highlights, and helpful tips that changed as pregnancy progressed.

This comprehensive approach ensured the app supported users whether they were trying to conceive or already expecting, providing relevant information for each stage.

By addressing multiple user needs within one application, this feature significantly increased the app’s value proposition and potential user base.

Step 8: Creating Health Insights and Education Section

Understanding menstrual patterns and their implications for overall health represents a significant value-add for users, prompting the development of a dedicated health insights section.

Implementation began with a prompt to Lovable requesting a health insight system that could analyze menstrual cycle data and offer health recommendations if irregular patterns were detected.

This functionality enabled the app to identify unusual patterns such as exceptionally long cycles, missed periods, or irregular ovulation and provide personalized insights.

When potential issues were identified, users received appropriate recommendations or alerts that could help them determine whether medical consultation might be necessary.

As with previous features, development occasionally encountered technical issues, but these were quickly resolved using Lovable’s troubleshooting capabilities.

To further enhance the educational value, an additional request was made to generate educational articles and videos on reproductive health, displayed based on the user’s current cycle phase.

This resulted in a resources section filled with phase-specific content, ensuring users received relevant information whether they were in their follicular, ovulation, or luteal phase.

Step 9: Setting Up Monetization with Stripe

Developing a sustainable revenue model ensures ongoing app maintenance and improvement, making monetization an essential aspect of the development process.

The approach chosen was a subscription model offering premium features for $9.99 annually, implemented through Stripe integration for secure payment processing.

Implementation began with a prompt to Lovable requesting Stripe integration and subscription functionality that would gate premium features behind the payment wall.

After Lovable established the basic integration, backend changes were approved, and the process moved to connecting with the Stripe payment system.

To avoid accidental real transactions during setup, Stripe’s test mode was activated before obtaining the necessary API keys from Stripe’s developer dashboard.

Both the secret key and publishable key were obtained from Stripe and pasted into Lovable to establish the connection between the app and payment processor.

The final step involved creating an actual product in Stripe’s catalog by specifying the name, description, price, and billing period, then linking this product to the app using its unique ID.

Step 10: Finalizing Payments and Testing

Completing the payment system required setting up webhooks to facilitate communication between Stripe and the application regarding subscription status changes.

These webhooks ensure the app receives notifications when users subscribe, cancel, or renew their premium services, maintaining accurate access control.

The webhook implementation began with requesting a Stripe webhook secret key, which generated a link to Stripe’s webhook dashboard where the signing secret could be obtained.

After pasting this secret back into Lovable and submitting, the Stripe integration was fully established and ready for testing.

The test process involved publishing the app, creating a user account, and attempting to access premium features, which appropriately triggered a subscription requirement.

Using Stripe’s test environment, a simulated payment was processed using a temporary card number, future expiration date, three-digit CVC, and arbitrary postal code.

The successful transaction immediately unlocked premium features, confirming that the entire payment and access control system functioned correctly.

With all functionality in place and working correctly, the final step involved polishing the application’s visual design to ensure professional presentation.

A prompt was sent to Lovable requesting a modern UI design update, which quickly transformed the application’s appearance to a sleeker, more contemporary aesthetic.

Testing included checking the mobile view to ensure responsive design that would adapt perfectly to different screen sizes, confirming cross-platform functionality.

This final refinement completed the development process, resulting in a fully functional AI-powered period tracking application with comprehensive features.

The completed app included cycle tracking, symptom logging, pregnancy insights, health education, and premium subscription options, all created without writing a single line of code.

The success of this project demonstrates the extraordinary potential of AI-powered development tools to democratize app creation for non-technical entrepreneurs.

This approach opens possibilities for future enhancements like AI-powered health predictions or expansion into related areas such as fitness tracking.

Conclusion

Building a period tracker app capable of generating $8 million monthly requires no coding experience when leveraging the right AI tools.

The process demonstrated here systematically created a comprehensive application through simple text prompts and minimal technical interaction.

Beginning with basic concept generation and proceeding through UI refinement, authentication setup, core functionality implementation, and monetization, each step was accomplished through AI assistance.

The resulting application offers professional-grade features including period tracking, health insights, pregnancy support, and premium subscriptions.

This development approach represents a significant democratization of technology creation, allowing entrepreneurs without technical backgrounds to compete in the lucrative app marketplace.

The implications extend beyond period tracking apps to virtually any application concept, suggesting a future where ideas rather than coding skills determine entrepreneurial success.

For aspiring app creators, this methodology offers an accessible entry point to app development and potentially significant revenue generation.

We strongly recommend that you check out our guide on how to take advantage of AI in today’s passive income economy.