Skillprint launches science-backed platform to match players with the right skill-based games
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Skillprint has launched a platform that uses science to figure out how to match players with the games they will likely enjoy and the skills they want to improve.
The new ratings for games are based on a first-of-its-kind pairing of neuroscience research and machine learning. Skillprint’s ratings consider a number of criteria, evaluating games for their effect on a person’s mind and mood – with the ultimate goal being to match individuals with the best games for their personalities, specific moods and the skills they want to test or improve.
The San Francisco Bay area based start-up was founded in 2019 by seasoned gaming industry veterans Chethan Ramachandran and Davin Miyoshi. They wanted to see games used for a greater purpose and help people feel better through gameplay.
“I want to be the ultimate scoring engine for how you play,” Ramachandran said.
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But there’s a lot more behind it than just measuring yourself.
The founders bring a unique vision and expertise to the opportunity. Ramachandran previously founded Playnomics, a predictive analytics company which was sold to Unity in 2014 and now processes 1.5 billion devices each month as Unity Analytics.
Miyoshi founded Mesmo, a social/mobile games company that was sold to GSN, and cofounded GSN Games, which grew to more than 75 million users and $100 million in revenue.
Now, Ramachandran and Miyoshi are turning their talents to exploring the intersection between gaming and
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