Palmyst - AI Powered mobile app on Flutterflow
Palmyst is more than a palm reading app. It’s a smart, interactive experience powered by modern tech. Built on Flutterflow, enhanced by OpenAI, and wrapped in a clean user experience, it’s now helping users explore insights about themselves, one palm photo at a time.
Palmyst was stepping into the mobile world for the first time and needed an app that reflected their fresh, modern brand while offering an engaging experience for users.
Our challenge was to create a mobile app that could analyze a photo of your palm and give you insights about your love life, career, and more. But building an app that combines clean UI, intelligent automation, and real-time processing? Not so simple. They needed a solution that felt magical to the user but ran on solid, scalable tech under the hood.
Our first step was a thorough product discovery phase. We dove deep into understanding Palmyst’s core user base and the goals of the app. Through research, user interviews and collaboration, we defined the must-have features, prioritizing a smooth user flow and an engaging interface.
We also explored the best ways to integrate a credit-based payment system, where users could buy credits to unlock various tools. Additionally, we considered how users would interact with the app long-term, building out a history feature that allows users to revisit previous palm reading insights.
We started by breaking down the flow: capture palm images, process them accurately, and deliver smart, personal responses. Using Flutterflow, we rapidly mapped out screens, flows, and interactions. The focus was on simplicity- one that would keep users engaged without overwhelming them.
To ensure the app hit the mark, we first created a fully clickable prototype on Figma that captured the entire user journey from start to finish. This prototype allowed users to explore every aspect of the app, from buying credits to using palm-reading tools, all before a single line of code was written.
The clickable prototype enabled Palmyst to gather valuable user feedback early in the process, allowing us to refine the design and ensure the app was both engaging and easy to navigate. By testing the complete user flow, we made it simple to make adjustments based on real user interactions, saving time and resources before moving into development.
We then built and launched the Palmyst mobile app using Flutterflow, integrating OpenAI for dynamic, persona-driven responses based on user inputs. To make palm reading possible, we added computer vision that pre-processes palm images directly in the app. We used RevenueCat to manage in-app subscriptions smoothly across platforms. The result is an app that combines AI, computer vision, and delightful design in one powerful package—live and running on the store today.
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