TeaChecker
TeaChecker is a SaaS tool that performs discreet lookups on the Tea app, an anonymous dating feedback platform. Users provide identifying details such as usernames, photos, names, or phone numbers, and the service investigates whether any posts exist about them. Results are delivered via email within 24 hours, categorized as Found, Not Found, or Possible Match, often accompanied by screenshots when evidence is available. The service is designed for individuals who suspect they may have been negatively reviewed on Tea and want to verify these suspicions. TeaChecker emphasizes confidentiality, with requests remaining private and never resold. The lookup process is simple: submit details, pay securely via Stripe, and receive a reviewed outcome. The service offers a one-time payment with no subscription, aiming to provide peace of mind to users who feel their dating reputation may have been compromised. TeaChecker also features a blog and FAQ addressing privacy, turnaround time, and the nature of results. It has reportedly been used by over 56,000 people.
- Category
- AI Dating Assistant
- Pricing
- Unknown
Problem solved
TeaChecker helps individuals discover if they have been posted about on the Tea anonymous dating feedback app, providing clarity when they suspect negative reviews may be affecting their dating lives.
Use cases
- Verify if an ex-partner posted about you on Tea
- Investigate sudden drop in dating app matches
- Obtain screenshots as evidence for reputation management
- Confirm anonymous feedback from the Tea app
- Peace of mind for individuals concerned about online dating gossip
Audience
- Hobbyists
Pros
- Confidential and discreet service
- Fast delivery within 24 hours
- Clear outcome categorization
- Screenshots as evidence
- No subscription, one-time payment
Cons
- Only searches the Tea app
- Relies on accuracy of user-provided details
- Does not handle post removal directly
- May raise privacy concerns
- Results can be inconclusive
Official website: https://teaaboutme.com/
Canonical LambdaBase page: https://www.lambdabase.com/tools/teachecker