Joyraft
Building a Cutting-Edge Social App with Personalized AI Recommendations
The surge in demand for digital platforms that bring people together and enhance social experiences inspired Joyraft to develop a cutting-edge solution for discovering local events and activities. Joyraft sought to build an app that connects users with curated events and experiences tailored to their interests while maintaining scalability and performance to support rapid growth.
Our team was challenged to create a platform that not only facilitated personalized event recommendations but also delivered a seamless, cross-platform experience for users on both mobile and web. The goal was to build a high-performance, AI-driven app to make discovering events intuitive, enjoyable, and accessible for all users.
— User-centric product design
— Rapid MVP development to validate key features early
— Enterprise-grade cloud infrastructure to support growth and scalability
— AI Recommendation Engine for personalized recommendations and experience
— Cross-platform consistency with mobile and web applications
Twistag collaborated with Joyraft to build a cutting-edge social discovery app from the ground up, designed to bring people together through curated events and shared experiences. This wasn’t just about building another app, it was about crafting a platform with purpose, a place where connections are intentional, and events are aligned with individual interests.
To achieve this vision, we crafted intuitive, user-centric interfaces that facilitate connection and engagement, providing a visually appealing and functional design that users could navigate effortlessly. Beyond design, we engineered both the mobile app and website to ensure a consistent user experience across platforms. By developing the app with a cross-platform approach, we enabled users on both iOS and Android to have a unified experience, making it easier for them to connect with others and explore new activities, regardless of the device they’re using.
To enhance personalization, we developed an AI-driven recommendation engine that suggests the most relevant events for each user. This recommendation engine, powered by advanced AI algorithms, analyzes user preferences and behaviors to deliver personalized event suggestions, maximizing relevance and engagement. This feature serves as the core of the Joyraft app, offering users curated experiences that encourage meaningful connections.
In addition, we built a scalable cloud infrastructure to support the app’s growing user base and handle thousands of events and interactions simultaneously. Leveraging robust backend technology, we ensured that the platform remains responsive and performs efficiently, even as usage scales. This infrastructure provides the stability needed to support Joyraft’s mission of connecting people with experiences in a reliable, real-time environment.
To stay aligned with user needs, we conduct regular user testing with a dedicated group, gathering feedback to guide continuous improvement. This iterative process helps us refine functionality and enhance satisfaction, keeping Joyraft’s experience dynamic and relevant.
The Joyraft app has achieved remarkable milestones in user engagement, personalization, and event discovery. With approximately 10,000 active users weekly, Joyraft offers a rich selection of events tailored to user interests, fostering genuine connections and shared experiences.
At the core of Joyraft’s success is its AI-powered recommendation engine, designed to convert views to clicks with unmatched accuracy. By analyzing user preferences and behavior, this engine ensures high engagement and conversion rates, even when its recommendations aren’t top-of-list. This powerful AI-driven personalization keeps Joyraft relevant, engaging, and a go-to app for social discovery.
By integrating a user-centric design with a robust tech stack, Joyraft effectively connects people, providing highly relevant content that encourages them to explore exciting new activities together. This dynamic platform demonstrates the effectiveness of AI-enhanced recommendations, setting the stage for continuous growth and innovation in the social discovery space.
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