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Product & Competitive Intelligence

Auto-detects 50+ exercises and tracks reps, form, and fatigue on-wrist without manual logging.

Company Overview

Builds a screenless, sensor-driven wrist wearable using IMU and PPG sensors with proprietary ML to automatically detect, count, and analyze 50+ strength training exercises with real-time rep tracking, form feedback, and health metrics.

Competitive Advantage & Moat

Product Roadmap & Public Announcements

Shipping Q3 2026 (USA first). Pre-orders $289 (retail $349). 50+ exercise auto-detection, training load analytics, proximity-to-failure, velocity/ROM feedback, all-day health tracking (sleep, HRV, VO2 max). Subscription $79.99/year. Bloodwork integration planned.

Signals & Private Analysis

Beta tester feedback loops for exercise detection accuracy. Tesla hardware pedigree signals sophisticated sensor fusion. Targeting Gen Z, Millennials, and women. Future cloud infrastructure, social features, and coach dashboards.

Product Roadmap Priorities

Time-Series Activity Classification
Improving
Product Differentiation
Product

Automatically identifies which of 50+ strength exercises a user is performing and counts reps/sets in real time using wrist-worn IMU and PPG sensor data—eliminating manual workout logging entirely.

In Plain English

It's like having a spotter who silently writes down every single exercise, set, and rep you do at the gym without you ever touching your phone.

Analogy

It's like Shazam for your muscles—except instead of identifying a song from a few seconds of audio, it identifies your exercise from a few seconds of wrist movement.

Fatigue Regression Modeling
Improving
Decision Quality
Product

Estimates how close a user is to muscular failure during each set by analyzing real-time changes in rep velocity, power output, and heart rate—providing a key training intensity metric previously available only through expensive lab equipment or subjective guesswork.

In Plain English

It tells you how many reps you have left in the tank before your muscles give out, so you know exactly when to push harder or stop.

Analogy

It's like a fuel gauge for your muscles—instead of guessing whether you're running on empty, you get a real-time readout of exactly how much is left in the tank.

Biomechanical Anomaly Detection
Improving
Risk Reduction
Product

Analyzes biomechanical quality of each repetition in real time by evaluating rep velocity, range of motion, cadence consistency, and movement symmetry from IMU data—flagging form deviations and providing actionable feedback to reduce injury risk and improve training effectiveness.

In Plain English

It watches how you move during every rep and tells you when your form starts breaking down—like having a personal trainer's eye on your technique at all times.

Analogy

It's like spell-check for your squats—it underlines the sloppy reps in red so you can fix them before they become bad habits.

Company Overview

Key Team Members

  • Shaun, Co-Founder
  • Kelly, Co-Founder
  • Tristin, Co-Founder
  • Cam, Co-Founder
  • Matt, Co-Founder

Five former Tesla engineers with deep expertise in embedded hardware, sensor fusion, and real-time data systems. Vertically integrated wearable with on-device ML that software-first fitness startups cannot replicate. Backed by YC, Afore, Weekend Fund, Theory Forge, and angels from OpenAI and Tesla.

Funding History

  • 2024-2025 | Founded by five ex-Tesla engineers.
  • 2025 | Accepted into Y Combinator; Seed from YC, Afore, Weekend Fund, Theory Forge, OpenAI and Tesla angels.
  • 2025-2026 | Beta program.
  • 2026 | Pre-orders open, Q3 2026 US shipping.

Competitors

  • Strength Wearables: None equivalent (greenfield).
  • General Fitness: Whoop, Oura Ring, Apple Watch, Garmin.
  • Strength Apps: Strong, Hevy, Fitbod (manual logging).
  • AI Fitness: Tempo, Tonal.