Gatsby TV Shows You a Fun Way to Watch TV With Your Friends
It’s the end of the day, you’ve finally put the kids to sleep, cleaned up the house for the 10th time, and you can now enjoy some downtime with your partner on the couch. But instead, you find yourself scrolling through each streaming platform to find something to watch. It can create a stressful situation with couples and is something one tech startup and app is aiming to fix.
Gatsby Frimpong is the Co-Founder and CEO of Gatsby TV, the tech company that’s created an app offering a fun new way to discover television shows and movies. The platform brings all your streaming services into one place where they can be easily searched at once saving you time and possibly your relationship. Detailed information is included like ratings from IMDB and Rotten Tomatoes, as well as a user based grading system. It is also the place where you can store recommendations from friends for when it’s time to binge watch.
The Gatsby TV app is seamlessly bridging the gap between our screens and social lives. Launched just a few months ago and with tens of thousands of users, the application lets you see what individuals you follow have watched recently and allows you to recommend shows or movies to friends. The company is taking those offline conversations we always have with each other about what we’re watching and bringing them together for you on any device.
Gatsby’s extensive experience before creating this startup and app includes jobs at Apple, Microsoft, and Google. He can provide brilliant insight on the state of streaming networks and:
- His personal journey on building this app and what problems it’s solving
- Taking a look at the app and ways it can change where we find what to watch
- How it saves time, providing all the info on where you can rent, stream, or buy
- Ending the frustration of scrolling through shows to find something you like
- The issues with user data from Netflix, etc. for suggesting your next series
- Relying on recommendations from friends and family, instead of algorithms
