Loading...

ROAST is an AI dating-profile optimization assistant that uses data analysis and expert guidance to help users boost the attractiveness of their dating-app profiles on platforms like Tinder and Hinge, thereby securing more high-quality matches and dating opportunities.
ROAST is an AI assistant platform focused on dating-profile optimization. It analyzes users' dating profiles (photos, bios, etc.) on apps like Tinder and Hinge, combines big data and expert insights, and provides concrete improvement recommendations aimed at helping users achieve more and higher-quality dating matches.
The core optimization process is very fast. Typically, users only need to complete a short questionnaire, and the system can generate initial feedback and improvement directions in a short time, as quick as 60 seconds as advertised, with the full depth analysis and service plan generation usually completed within a few minutes.
ROAST's recommendations are based on over eight years of user-behavior interviews, experimental data, and analysis of more than 10,000 profiles. It combines AI data processing with the expertise of real dating coaches to ensure suggestions are data-backed and aligned with real social dynamics.
ROAST offers initial questionnaire analysis and basic insights for free. More advanced features, such as data-driven reports, personalized improvement plans, and professional photographer matching, may require a subscription or purchasing a corresponding service plan.
Depending on the service, ROAST needs to analyze the information users provide to offer recommendations. Typically, the platform will have a privacy policy outlining how data is used, so please read it carefully before using. Its core aim is to optimize recommendations, not to publicly disclose user data.
ROAST's optimization principles apply to mainstream dating apps, including but not limited to Tinder, Bumble, and Hinge. Its recommendations focus on enhancing the overall appeal of your profile, with core elements that translate across platforms.