ai-fitness
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The Stanford Dorm Algorithm That Turned a Spin Bike Into a Rhythm Game
freebeat took the music algorithm two Stanford students built in a dorm, wired it into a $599 bike, and bet that people will exercise longer if the workout scores them like a video game. So far the bet is holding.
Allen Chen
Allen Chen is the co-founder and CEO of Fitbod, the San Francisco strength-training app that uses machine learning to design a fresh, personalized workout every time you open it. A UCLA computer science grad and former Wall Street high-frequency trading strategist, Chen swapped optimizing stock portfolios for optimizing sets and reps, building an algorithm that picks exercises the way he once picked trades. Since launching in 2015 with co-founder Jesse Venticinque, Fitbod has grown to more than 300,000 paid subscribers while staying lean and profitable.
Moawia Eldeeb
Moawia Eldeeb is the CEO and Co-Founder of Tempo, a San Francisco-based AI-powered home fitness company that raised $316M and uses 3D sensors and computer vision to deliver real-time form correction and personalized training. Born in Alexandria, Egypt, he immigrated to the US at age 9, dropped out of school in 6th grade to work 12-hour shifts at a pizza restaurant, survived homelessness in a Harlem shelter, and put himself through Columbia University by working as a personal trainer - before building one of the most-funded fitness tech startups in history.
Tempo
Tempo is a San Francisco-based connected fitness company building an AI-powered home gym. Its flagship Tempo Studio uses 3D infrared sensors and computer vision to track form in real time, coach lifters through strength workouts, and adapt programs to each user. Founded in 2015 by Moawia Eldeeb and Josh Augustin, the company has raised over $316M, including a $220M Series C led by SoftBank in 2021.