RAW emerges as a distinctive contender in the crowded dating app market by prioritizing authenticity through its mandatory dual-camera verification system. Developed by Techlead Limited, the iOS application differentiates itself by requiring users to submit daily photos captured simultaneously through front and back cameras, creating what the platform describes as '100% real people' profiles. This approach directly addresses common pain points in digital dating, particularly catfishing and misleading profile representations. The core functionality revolves around a verification process that demands users capture images using both smartphone cameras simultaneously, creating timestamped, unedited profile content. The platform maintains a streamlined interface focused on these verified photos rather than extensive profile customization. Matching mechanics appear similar to swipe-based systems but emphasize the temporal authenticity of profile images, with daily photo updates required to maintain active status. The absence of advanced filtering options and location-based matching emerges as a notable limitation in current implementation. User experience reflects a minimalist design philosophy that prioritizes verification over feature richness. The interface presents verified profiles with chronological photo updates, though navigation requires excessive scrolling to access basic information like location details. Real-world usage patterns suggest users appreciate the authenticity assurance but encounter practical limitations in discovering locally relevant matches. The requirement for daily photo updates, while ensuring current representations, may create friction for users seeking low-maintenance dating experiences. User feedback consistently highlights the authenticity verification as the platform's standout feature while identifying significant functional gaps. Multiple reviews from June through August 2025, including those from users kannalu16 (2025-06-28) and Wash towel (2025-06-18), specifically request location-based filtering and distance parameters. Technical issues surface in reviews such as Emiillyrayy's (2025-08-27) report of message delivery problems, while jennsjoint (2025-08-17) notes interface inefficiencies in accessing location information. The application demonstrates clear strengths in authenticity verification and scam prevention but faces challenges in matching functionality and user experience refinement. Its value proposition resonates most strongly with users prioritizing genuine connections over geographical convenience or advanced matching algorithms. The platform appears ideally suited for urban environments with high user density where location limitations become less impactful, though broader adoption would require addressing the geographical matching constraints identified across multiple user reviews.