Finding the Revenue Model in Your Business with X-Mode Social’s Josh Anton
Startup Grind Tyson's Corner presents:
"Finding the Revenue Model in Your Business with X-Mode Social's Josh Anton"
6:00 PM Introduction of Startup Grind, Sponsors, Featured Attendees
6:30 PM Networking Breakout Room
7:00 PM Fireside Chat
About X-Mode Social:
After receiving a late-night drunk call in 2013, Josh built Drunk Mode, a mobile app that prevents users from drunk dialing.
As the app grew in popularity across U.S. college campuses, the Drunk Mode team developed additional features that included location-based features such as Find My Drunk and Breadcrumbs to enhance campus safety.
To continue its momentum and start generating revenue, Drunk Mode began monetizing location data in 2015. During this time, our team saw two major opportunities for disruption in the location data industry: data licensees’ need for high-quality location data and publishers looking for additional monetization strategies.
Thus, the X-Mode Location Data Network was born, leveraging the core technology from our Drunk Mode application that became the foundation of the XDK, which was first released in Q2 2017 and now powers X-Mode’s location platform as of today. As we grew our location network, we realize the possibilities for our data solutions are endless and continue to explore how X-Mode and our trusted partners can use location.
About Josh Anton:
I am looking for mentorship from individuals who are experienced and/or are 10x smarter than I am as I continue along my entrepreneurial journey. This way even if I can absorb a fraction of this intelligence, I'll be better off than where I began.
CEO and Cofounder
Joshua is the CEO and cofounder of X-Mode Social, a big data location intelligence startup based out of the Fishbowl Labs. X-Mode’s location platform maps over 5% of the US population monthly and their panel powers attribution and customer segment based solutions for over 25+ companies in ad-tech, fin-tech, market research, and real estate. They have raised $2.5M.