Engineering & Exercise Science

Marroh Studio & MaGymus Blog

Deep dives into deterministic training algorithms, offline-first architecture, and evidence-based progressive overload for advanced athletes.

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Wearables & Strength Engineering

Garmin Strength Training Guide: Why Auto-Rep Counting Fails & How to Log Heavy Lifts Phone-Free

Why 3-axis wrist accelerometers fail on cables and machines, why optical PPG heart rate lags during heavy deadlifts, and how to run a deterministic phone-free strength workflow on 44+ Garmin watches with MaGymus.

Exercise Science & Hypertrophy

Junk Volume & SFR: Why More Sets Are Sabotaging Your Muscle Growth

Why the 'more is better' dogma in strength training has been scientifically disproven, how junk volume stifles hypertrophy, and how the Stimulus-to-Fatigue Ratio (SFR) dictates real gains.

Privacy & Architecture

Offline-First Fitness: Why Your Training Data Does Not Belong in the Cloud

Workout weights, body metrics, and progress photos are sensitive health data under Article 9 GDPR. Why an offline-first architecture is the only secure future for fitness apps.

Biomechanics & Training

Multi-Gym Normalization: Making Resistance Machines Truly Comparable

Why weight stacks across different gyms are physically incomparable, and how Epley-based calibration ensures seamless progressive overload for traveling lifters and multi-gym members.

AI & Algorithms

Deterministic Smart Coach vs. AI Hallucinations in Strength Training

Why probabilistic Large Language Models fail at calculating lifting loads, and why deterministic rule-based algorithms are revolutionizing progressive overload in strength training.