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The Dating App Made with AI

Greed Dating's Evolution into the Future of App Development

In the crowded online dating world, standing out requires more than just offering a platform to meet people. It demands innovation, inclusivity, and efficiency. This is precisely what Greed Dating has achieved. With over 600,000 users at launch and available across iOS, Android, and web platforms, Greed Dating is a true testament to the power of both human ingenuity and AI-assisted development. But what makes it particularly interesting is the unique way in which AI has played a role in bringing its Android app to life.

greed dating app

Images of Greed on Android, written by AI with the Flutter development environment

Greed Dating: A Diverse and Niche-Driven Experience

Greed Dating is not just another swipe-based app; it’s a comprehensive ecosystem of niche dating platforms, all housed under one roof. The vision behind Greed Dating is to cater to the specific needs and preferences of different groups. Whether you're into specific niches like age-gap dating, baldness, penis size, or "bad boy" dating, Greed has a place for you.

With the rapid growth of niche dating platforms, Greed has positioned itself as a unique solution that combines multiple micro-communities into a single user experience. This setup ensures that users who belong to more than one niche don't need to juggle several dating apps simultaneously, reducing friction in the dating experience.

Each niche within the Greed ecosystem is built around a common landing page template. This structure simplifies the user interface and provides a consistent experience across the different micro-sites. The core dating services—messaging, matching, and user profiles—are all driven by a solid backend written in PHP with a MySQL database. What’s impressive about this setup is that it was developed manually over many years by hand—there was no AI in sight during the platform's early stages of development. It took patience, skill, and deep technical knowledge to create the stable, robust system that Greed users interact with today.

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Example of a php function that works out a bounding box to apply text to an image.

The Manually Coded iOS Apps

When Greed decided to expand to mobile apps, the team took a traditional approach. The iOS app was hand-coded in Xcode using Swift, the programming language developed by Apple. This wasn't a simple task. Writing an app from scratch requires a deep understanding of both the programming language and the platform's APIs.

Swift itself is a powerful but complex language, and developing an app with it comes with a steep learning curve. For those developers who don't already know Swift, learning it could significantly slow down the development process. If outsourced, it often increases costs, as skilled Swift developers tend to command higher wages.

The approach for Greed's iOS apps was to create a wrapper that would integrate the existing web-based system into the app. Essentially, the iOS app acted as a container for the fully functional web system, making use of a webview to offer a seamless experience to users while retaining all of the app's existing backend capabilities.

Despite the traditional approach, the process highlighted an important point: each new language or platform introduced into the development cycle complicates matters. Not only does it take more time and money, but it also creates a need for highly specialized developers, which further inflates costs.

AI: The New Era of Software Development

As manual coding practices continued for iOS, the world was rapidly moving towards AI-assisted development. AI in software development allows programmers to speed up their work, and in some cases, even offload the writing of code entirely to AI tools like ChatGPT. This is where Greed’s Android app comes into play.

Creating an Android app manually would have required learning Java or Kotlin, and possibly utilizing Android Studio for the IDE. However, the developer behind Greed’s Android app took a radically different approach, leveraging the power of AI from start to finish.

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View controllers for the Greed Dating app created in Apple's Xcode.

How Greed’s Android App Was Created Using AI

When it came time to develop Greed for Android, the developer started with the knowledge already gained from building the iOS app. However, instead of following the same manual path, they turned to AI for help. By using ChatGPT, the developer was able to speed up the development process significantly.

The initial approach was simple: break down the app into sections, and ask AI to generate code for each one. Instead of relying on Android Studio and coding in Java or Kotlin, the developer chose to build the Android app using Flutter and Visual Studio. Flutter, a framework developed by Google, allows for cross-platform development using a single codebase written in Dart.

AI tools like ChatGPT were invaluable throughout the development process. Whether it was writing the foundational code, adding new features, or even fixing bugs, the AI could be asked to assist with each stage. The developer could request improvements to specific sections or ask for help debugging tricky parts, significantly speeding up the process and eliminating the need to hire additional developers or outsource the work to an external team.

In a matter of weeks, the Android app was up and running—a stark contrast to the lengthy process required for the iOS app. The developer didn’t need any additional staff, nor did they have to spend time and money learning new programming languages.

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Greed Dating running on an Android emulator from the Flutter development system.

The Future of Development with AI

Greed’s use of AI to develop its Android app is a glimpse into the future of software development. AI reduces the cost of development, speeds up the process, and simplifies the entire workflow. For smaller companies or solo developers, it provides a way to compete with larger, more resource-rich competitors.

In the future, development teams will likely consist of fewer traditional coders and more "conductors" or "directors." These individuals will define what needs to be built and set the direction, while AI generates the bulk of the code. Human input will still be necessary to guide the AI, ensuring the final product meets business objectives and maintains a high level of quality. However, the time spent on actual code writing will shrink dramatically.

As AI tools continue to improve, the software development landscape will change. Teams will require fewer specialized developers, and there will be a shift toward a model where AI does the heavy lifting under the supervision of human "conductors."

Conclusion: A New Age for Software Development (and Dating?)

With Greed Dating, we see firsthand how AI is changing the way apps are built. The Android app, made in a fraction of the time using AI, demonstrates the incredible potential for faster, cheaper, and more efficient app development. AI tools like ChatGPT allow developers to streamline processes, focus on high-level problem-solving, and deliver finished products quicker than ever before.

As for the future of online dating, who knows—perhaps AI will not only build the next generation of dating apps but also help you find your perfect match!

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