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S13 E12: Replacing Human Personal Trainers with Adaptive Computer Vision & AI with Anton Marchanka, Co-founder & CEO of Zing Coach
•32:19

S13 E12: Replacing Human Personal Trainers with Adaptive Computer Vision & AI with Anton Marchanka, Co-founder & CEO of Zing Coach

S13 E12: Replacing Human Personal Trainers with Adaptive Computer Vision & AI with Anton Marchanka, Co-founder & CEO of Zing Coach
Code Story | Startup Podcast for Technical Founders
0:00 32:19

In this episode

Anton Marchanka is originally from Belarus in Eastern Europe, but now lives in Poland, and spends a lot of time in New York. Almost seven years ago, the birth of his first child sparked his personal fitness journey. As his son grew bigger month after month, Anton realized he needed to build the physical strength required to keep lifting him - so he got into working out. Outside of tech, he is a dedicated family man — caring for his kid and dogs. He stays active by working out, playing tennis, golf, and rock climbing. In his downtime, he is an avid fan of sci-fi, specifically enjoying cyberpunk and classic '80s and '90s anime like Ghost in the Shell.

Anton noticed that 80% of gym members never receive any sort of personal training, as this traditional 1 on 1 coaching was expensive and unscalable. They built an AI coaching engine for this type of training, but eventually transformed their platform into flexible B2B infrastructure for fitness brands. 

This is the creation story of Zing Coach. 

Links

https://partner.zing.coach/

https://www.linkedin.com/in/anton-marchanka/



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Key Takeaways

  • Closing the 80% Uncoached Gym Member Gap: Roughly 80% of gym members never hire a personal trainer due to prohibitive costs or intimidation, leaving the vast majority of gym-goers without personalized guidance, form correction, or accountability.
  • Computer Vision Replaces Costly Assessment Hardware: Zing Coach uses standard smartphone cameras powered by computer vision algorithms to evaluate movement mechanics, track rep cadence, and assess body composition—eliminating the need for expensive in-person DEXA scans or dedicated hardware.
  • Adaptive Real-Time Training Intelligence: Unlike static fitness apps that deliver pre-recorded workout videos or fixed calendar plans, Zing Coach dynamically recalculates workouts in real time based on user fatigue, past performance, recovery metrics, and available gym equipment.
  • Fatherhood and Strength as Personal Catalysts: Marchanka’s personal fitness journey began seven years ago with the birth of his first child, realizing he needed to build foundational strength to keep lifting and playing with his growing son.
  • AI as an Infrastructure Copilot for Fitness Operators: Beyond consumer app subscriptions, Zing Coach integrates directly into gym chains and health clubs via white-label SDKs and APIs, acting as an AI copilot that boosts member retention and scales trainer productivity.

Frequently Asked Questions

What is Zing Coach, and what core problem does it solve in personal fitness?

Zing Coach is an AI-powered fitness coaching platform backed by Palta. It solves the scalability and affordability barrier of personal training by using mobile computer vision and adaptive algorithms to deliver real-time workout adjustments, form monitoring, and habit accountability.

Who is Anton Marchanka, and what is his background prior to leading Zing Coach?

Anton Marchanka is originally from Belarus and currently lives in Poland while frequently working in New York. A seasoned technology executive and entrepreneur, he was inspired to dive into fitness after becoming a father. Outside of tech, he enjoys tennis, golf, rock climbing, and is an avid fan of sci-fi and classic anime like Ghost in the Shell.

Why do traditional gym memberships suffer from high churn rates?

Most gym dropouts occur because unassisted members feel lost, repeat generic routines without measurable progress, or injure themselves from improper form. Personal training dramatically improves retention, but remains financially out of reach for over 80% of members.

How does Zing Coach use computer vision during workouts?

Using a mobile device’s camera, Zing Coach tracks body joints, range of motion, and repetition velocity. It provides immediate audio and visual cues to correct posture, count repetitions, and gauge muscular fatigue throughout sets.

How does Zing Coach adapt workouts to individual daily readiness?

The AI engine assesses daily input—including sleep, muscle soreness, recent activity, and mental readiness—to scale workout volume and intensity up or down, ensuring members progress steadily without risking overtraining.

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