The Pocket Lab for Strength.
Science 1RM is not just a workout diary. It's an ecosystem that applies advanced mathematical models and a manual editor for enhanced precision to quantify athletic performance. We have replaced approximate estimations with direct measurement.
1. Time-Based Training (TBT)
Most athletes train "by feel." Science 1RM introduces the concept of Time-Based Training (TBT), a democratization of Velocity Based Training (VBT) that does not require expensive hardware.
How it works in the App
- Record a video of your set directly in the app.
- Use the slider to mark the start and end of each repetition (rep).
- The app calculates the average velocity and estimates your instantaneous Daily 1RM based on velocity loss.
The Science Behind
"Average concentric velocity is a reliable predictor of %1RM. Monitoring velocity loss allows for better quantification of neuromuscular fatigue than simple RPE."
1. González-Badillo, J. J., & Sánchez-Medina, L. (2010). Movement velocity as a measure of loading intensity in resistance training.
2. Mann, B., et al. (2015). Developing Explosive Athletes.
2. Exponential vs. Linear Regression
Traditional apps use linear formulas (like Epley or Brzycki) to estimate the one-rep max. These formulas work well for low repetitions (< 5) but become drastically inaccurate for high-repetition sets (e.g., 10+), overestimating actual strength.
Science 1RM implements a Personalized Exponential Regression. If the app detects valid data sets, it abandons linearity and models the athlete's specific decay curve.
The Science Behind
"The relationship between load and repetitions is not perfectly linear. Polynomial or exponential models reduce prediction error for sub-maximal loads in advanced athletes."
1. Reynolds, J. M., et al. (2006). Prediction of one repetition maximum strength from multiple repetition maximum testing.
2. Tuchscherer, M. Reactive Training Systems Manual (RTS).
3. Lactate and ATP Recovery Analysis
Recovery time is not just a break. It's a physiological variable. The app analyzes the weight lifted, repetitions, and rest time to classify the stimulus: Mechanical (Strength) or Metabolic (Hypertrophy).
Incomplete (< 1min)
High metabolic stress. Lactate accumulation. Excellent for muscle endurance, poor for strength peaks.
Complete (> 3min)
Complete ATP/PCr resynthesis. Necessary condition to express maximum mechanical tension.
The Science Behind
"Phosphocreatine (PCr) resynthesis takes approximately 3-5 minutes. Short recoveries increase metabolic stress but compromise neural capacity."
1. de Salles, B. F., et al. (2009). Rest interval between sets in strength training. Sports Medicine.
2. Schoenfeld, B. J. (2010). The mechanisms of muscle hypertrophy.
4. High-Intensity Techniques
The Science 1RM log automatically recognizes when you are applying intensification techniques, correctly calculating effective volume without polluting your 1RM estimates.
- Drop Sets: If you record consecutive sets without rest with decreasing weight, the app groups them as a single intensity block.
- Cluster Sets: Native support for micro-pauses (10-20s) within the same set.
- Forced Reps & Negatives: Records assisted or eccentric repetitions.
The Science Behind
"High-intensity techniques, such as drop sets and cluster sets, are effective for increasing training volume and muscle activation, contributing to hypertrophy and strength gains."
1. Schoenfeld, B. J. (2010). The mechanisms of muscle hypertrophy.
2. Tufano, J. J., et al. (2017). Cluster Sets for Strength and Power Training: A Systematic Review.
5. Dynamic Diary, Not Just a Log
Science 1RM is not a simple notebook. It is a dynamic diary that uses your test history to determine the specific type of work being performed (Hypertrophy, Max Strength, Strength Endurance, etc.).
By analyzing the load and performance, the app calculates True Reps Possible and Theoretical RPE, providing a deeper insight into your actual intensity. It goes beyond simple logging by accounting for Training Volume and qualitative variables like Lactate accumulation, giving you a complete picture of your session's impact.
The Science Behind
"Training intensity and volume are key determinants of physiological adaptations. Using %1RM to categorize training zones allows for targeted adaptations, while volume tracking is strongly correlated with hypertrophic outcomes."
1. Campos, G. E., et al. (2002). Muscular adaptations in response to three different resistance-training regimens.
2. Schoenfeld, B. J., et al. (2017). Dose-response relationship between weekly resistance training volume and increases in muscle mass.
6. AI Agent, not Chatbot
Unlike common AI "wrappers," Science 1RM integrates an Agentic system. The AI does not just generate text but has access to tools to read the database, analyze graphs, and write real training plans. It also boasts a robust memory system where users can input and store personal data such as goals, injury history, and training preferences, allowing for truly personalized and adaptive guidance. This allows the AI coach to construct complete periodizations, incorporating guidelines from renowned methodologies such as Bompa, Sheiko, Bullmastiff, and DUP. By leveraging real data, it moves beyond the limitations of general Prilepin tables, offering a more precise and individualized approach. This capability significantly streamlines the work for both coaches and athletes, enabling efficient plan generation and revision.
Users have the freedom to choose the model (Gemini, GPT, Claude, Mistral, DeepSeek, OpenRouter) through a BYOK (Bring Your Own Key) configuration for maximum privacy and control.