Blind Cupid is a matchmaking app that uses algorithms to pair people based on personality type and their thoughts, not their app usage or demographics. The user base is dissatisfied with dating apps in general because you can't see who swiped right on you. With Blind Cupid, the app experience becomes 10x better because now we can solve that problem!
Remove the app-swiping problem. People rely on app pictures and app location to judge each other online. We need better matches that are not skewed by photos or distance and help people who have trouble finding dates in real life because their personality type is hard to read from an image. One in twenty people falls into this category. They lose out on many dating opportunities they would have otherwise had if someone falls under the same type as them so that they can find one another easily! That's what we did at Blind Cupid!
Blind Cupid is an app that pairs you with someone based on your personality type. You don't see only app pictures or app location, just the app profile of the person you're matched with. Your app experience becomes 10x better than other dating apps because now we can solve that app-swiping problem! And not only do people like Blind Cupid more than other apps (like Tinder), they also like it more than meeting dates in real life.
Blind Cupid is the app with the highest user satisfaction rate for this demographic. Our customers like Blind Cupid more than they do their social media app (like Instagram or Snapchat) because it's actually valuable for them.
We are also the only app that uses algorithms to match people based on their thoughts, not app profile or app location, so users have a better app experience and don't have to spend as much time swiping through other apps.
Blind Cupid has demonstrated exponential growth since its launch, while other dating apps have been flatlining for the past year. More importantly, we've had >400 app store reviews that average 4.8 stars with only five total negative reviews. All app metrics are meeting or exceeding expectations.