After the 2015 holiday season, I was contemplating one of the most significant decisions of my life: marriage. My girlfriend of three years and I had discussed the possibility, and now it was time for action. I wanted to get her father’s approval, and he was headed to his winter home in Florida within a week.
As a retired businessman, her father loves discussing the creative side of advertising. Jokingly, he suggested that I make an app with a highly sophisticated algorithm that would determine which friends and family members should be kept at a distance. Oh, the joys of family dynamics! It turned out to be the perfect way to talk about adding myself to the family.
A prototype of InnerCircle was fully developed, tested, and operational using InVision. I met him at his favorite bagel cafe and showed him my phone. As the demo started, his eyes lit up. I entered my name as an example and let the app run. The algorithm animation began, and he grabbed my phone. The results displayed: “Jay Simmons, son-in-law, 96%.” After a brief pause, he looked up from the phone and said: “Do you really want to do that?”
To use InnerCircle, the user simply enters their name, and a friend’s or family member’s name.
InnerCircle is powered by a highly sophisticated algorithm developed by an ex-NSA engineer who wishes to remain nameless. The highly sophisticated algorithm searches hundreds of thousands of profiles and returns a detailed outline of results in less than 30 seconds.
Once InnerCircle completes its highly sophisticated algorithm, a profile will be generated with detailed results of the said person’s family and friend qualities. Also displayed is the percentage scale of the most substantial relationship quality.
InnerCircles data collection is then recompiled and served up as lists with a series of different qualities.
We were married on September 16, 2017, at a private beach on Lake Michigan.
