RevenueCat has announced the 20 first-place winners of its annual Shipaton 2026 app-building competition. The competition attracted a total of 3,985 project submissions from developers across various categories. These winning applications address everyday frustrations, offer inventive games, and provide new ways for people to connect.
The Grand Prize winner of Shipaton 2026 is Mio, a habit tracker that gamifies self-care. Users track habits, earn coins, and unlock companions and collectibles, with social features for groups and friends. RevenueCat specifically noted Mio's revenue and growth within the competitive habit-tracking market.
Other first-place winners include Boop, an app that turns dog walk encounters into a collecting adventure by identifying pets and creating digital stickers. Nitelore, a racing game, and See as Me, a color blindness simulation tool, were also among the top selections.
The winning apps demonstrate a wide range of functionalities, from practical tools like a smarter snippet library to engaging entertainment options. The competition highlights the ongoing innovation in app development, with creators focusing on user experience and novel solutions.
RevenueCat's Shipaton competition serves as a platform for developers to showcase their creations. The 2026 event saw a significant number of entries, indicating continued interest in app development and the creation of new digital experiences.
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RevenueCat announced the 20 first-place winners of its annual Shipaton 2026 app-building competition, which received 3,985 project submissions. The winning apps include a habit tracker, a pet-collecting game, a racing game, and a color blindness simulation tool, showcasing diverse app development across various categories.
RevenueCat announced the 20 first-place winners of its 2026 Shipaton app-building competition, which received 3,985 project submissions. The winning apps include a habit tracker called Mio, a pet-collecting app named Boop, a racing game called Nitelore, and a color blindness simulation tool called See as Me.