Ditto, a new dating initiative, has launched with an AI chatbot-driven matchmaking system designed for college students. Founded by Allen Wang and Eric Liu, the app aims to provide an alternative to traditional swipe-based dating platforms that its target demographic, Gen Z, finds dissatisfying.
Users sign up for Ditto by texting a specific iMessage number. The AI chatbot guides them through an onboarding process, collecting basic biographical information, personality insights, interests, and dating preferences. Some users even upload photos of celebrity crushes to help the AI understand their type.
Unlike apps that match based on superficial similarities, Ditto's algorithm attempts to identify deeper compatibility. It analyzes what hobbies and interests reveal about a person's underlying traits, such as adventurousness or individualism, to predict chemistry. This approach seeks to move beyond surface-level commonalities.
Every Wednesday at 7 p.m., Ditto messages users with a match, including a specific time and location for a date. The system is designed to remove the need for endless swiping and small talk, encouraging users to meet directly in person. Feedback from these dates is then used to refine future matches.
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Ditto, a new dating app founded by former UC Berkeley students, uses an AI chatbot to match college students without traditional swiping. Users onboard via text message, providing personal details and preferences, and receive a weekly match with a set time and location for a date. This approach aims to address Gen Z's dissatisfaction with existing swipe-based dating apps by focusing on deeper compatibility and real-life interactions.