Tea provides a mobile application focused on enhancing dating safety specifically for women users. The platform integrates background checks, image searching, and criminal record lookups to help users avoid potential red flags before meeting dates. It also fosters a secure, anonymous community where verified female members can share advice and support regarding modern dating experiences.
Funding
Funding not disclosed
Founders
Product
Problem
Women face significant safety risks and uncertainty when navigating modern dating, including encountering individuals with undisclosed criminal records, deceptive profiles, and potential for harassment or harm. Traditional dating apps often lack sufficient safeguards and resources to adequately protect women from these threats.
Solution
Tea is a mobile platform designed to empower women with the tools and community support needed to make informed and safer dating decisions. The app provides access to background checks, reverse image searches to identify catfish profiles, and phone number lookups to verify identities. Tea also fosters a private, women-only community where users can share experiences, report concerns, and seek advice, creating a supportive environment for navigating the complexities of dating. By providing these resources, Tea aims to reduce the risks associated with online dating and promote safer interactions.
Target Audience
The primary target audience is women actively participating in online dating who are seeking enhanced safety measures and community support to navigate potential risks.
Features
- Background checks to uncover criminal records and potential safety concerns
- Reverse image search to identify fake or misleading profiles (catfishing)
- Phone number lookup to verify identities and uncover hidden information
- Private, women-only community for sharing experiences and seeking advice
- Screenshot blocking to maintain privacy and trust within the community
- Anonymous reporting system for sharing dating experiences and warning others
- Custom alerts for potential red flags based on community reports