Teaborn: Dating Advice positions itself as a due diligence tool for modern daters, offering crowd-sourced background information about potential romantic partners. The app enters a growing market of relationship verification services, distinguishing itself through photo-based searching alongside traditional name-based queries. Its core premise addresses growing concerns about dating authenticity and safety in digital matchmaking environments. The application's functionality centers on two primary search methods: name-based queries and photographic identification. Users can input a person's name or connect through Instagram integration to access aggregated reports containing user-submitted reviews, behavioral patterns, and potential red flags. The system compiles anonymous testimonials from previous dating experiences, creating composite profiles that highlight concerning patterns or positive attributes. This approach theoretically enables daters to make more informed decisions based on collective experiences rather than individual impressions. User experience appears streamlined despite the sensitive nature of the service. The interface employs minimalist design with intuitive search prompts and clear categorization of information. Real-world usage typically involves quick pre-date checks or post-date verifications, with most interactions occurring within seconds of accessing a profile. The app requires minimal personal information from searchers, potentially reducing privacy concerns for those conducting inquiries. However, the absence of robust verification mechanisms for submitted content raises questions about information accuracy. No user reviews are currently available for analysis, as the app appears to be newly launched or experiencing limited adoption. This absence of crowd-sourced feedback makes independent assessment of claim validation impossible. Without demonstrated user adoption, the practical reliability of the information ecosystem remains unproven, and potential users lack third-party experiences to evaluate service effectiveness. The application demonstrates innovative approach to dating safety through collective intelligence gathering, potentially helping users avoid problematic relationships. Significant limitations include unverified user submissions, potential for false information, and ethical concerns about consent in personal data sharing. Ideal for cautious daters in metropolitan areas where user base might achieve critical mass, though currently suffers from apparent network effects challenges due to limited reviewed profiles.