Trademark Overview
On Friday, August 22, 2025, a trademark application was filed for RTHMS REAL-TIME HABIT MATCHING SYSTEM with the United States Patent and Trademark Office. The USPTO has given the RTHMS REAL-TIME HABIT MATCHING SYSTEM trademark a serial number of 99351934. The federal status of this trademark filing is NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER as of Friday, August 22, 2025. This trademark is owned by Jaw Venture Studios, LLC. The RTHMS REAL-TIME HABIT MATCHING SYSTEM trademark is filed in the Computer & Software Products & Electrical & Scientific Products and Computer & Software Services & Scientific Services categories with the following description:
Downloadable mobile applications for lifestyle matching, dating, social networking, and habit tracking; Downloadable computer application software for phones, tablets, computers, namely, software for lifestyle matching, dating, social networking, and habit tracking; Downloadable computer application software for phones, tablets, computers, namely, software for analyzing user behavior based on health, fitness, and financial data; software for syncing with third-party APIs including health tracking devices, financial data providers, calendar applications, and travel platforms; software for displaying compatibility scores and personalized match recommendations
Software as a service (SAAS) services featuring software for Dating services provided via a website and mobile application; lifestyle-based social networking services; providing online information in the field of personal lifestyle compatibility, dating, and relationship advice; matching individuals based on behavioral patterns, routines, health data, and consumer habits; Platform as a service (PAAS) featuring computer software platforms for Dating services provided via a website and mobile application; lifestyle-based social networking services; providing online information in the field of personal lifestyle compatibility, dating, and relationship advice; matching individuals based on behavioral patterns, routines, health data, and consumer habits