Weight Fluctuation and Hydration

The science behind hydration and dehydration

  • Dehydration affects cognition, strength, and power, during training (1,2).

  • When trying to gain muscle or improve athletic performance, hydration is a key factor that can be seen both in and outside of the body(3)


  • Water affects bodies at the cellular level, helping the body to grow muscles(3).

  • Protein metabolism is likely regulated by cellular hydration (3).

  • It has even been shown that dehydration causes cells to catabolize and shrink (4).

  • Along with cellular depletion, dehydration may result in overall body fatigue (5).

  • Even with moderate dehydration (2-3%), athletes lose anaerobic power (2,6); as much as a 30% decrease in workload capacity with a 5% body weight decrease of water (7).

  • People may lose 6-10% of body weight in sweat loss in challenging athletic events. Without proper hydration, this will lead to dehydration (5).


Your weight fluctuation reflects your daily dehydration


Our Artificial Intelligence (AI) learns your daily weight fluctuation and eliminates this ‘noise’ of water weight, leaving users with their clear weight (loss) trend. Our scales do not use electrical bio-impedance. Our scales are based on our AI process, which is backed by physiological and behavioral science and is 95% accurate and consistent



  • Our scale is intended for different uses;

    • Identifying dehydration after workouts

    • Identifying weight loss trends (if the user is losing, maintaining, or gaining weight)

    • For users who have anxiety with the scale, eliminating frustration with daily weight fluctuations


  • Rather than measuring the resistance of a (weak) electrical signal that passes through the body, our AI measures the users water fluctuation to reveal to users their true weight loss trend. 

  • The scale does not reveal body fat, scientific studies have warned users to be wary of BIAs body fat outputs because studies have identified that not only are BIA inaccurate, but they are inconsistently inaccurate (8).

    • BIA has shown to have a margin of error as high as 8-9% (9,10)

  • Changes in hydration also sway BIA results. BIA seems to interpret a change in body water as a change in fat mass (11)

    • If you are dehydrated, a BIA device will assume that you’ve lost fat. If you are well hydrated, the BIA device will assume you have gained fat.


Weight is not just a single number


Weight fluctuates throughout the day and is dependent on when/what you ate, exercised, used the restroom, and even basic metabolic functions will expend water.  Because of this, it is difficult to truly see how much weight we are truly losing.  This concept led us to develop an algorithm to take the guesswork out of the scale.


We take the guesswork out of your weight fluctuations


By eliminating the ‘noise’ of water fluctuation, guesswork is eliminated and individuals are left with their true weight (loss or gain) trend.  Tracking weight trend eliminates stress, frustration, and anxiety with the scale.


It's easy to track your weight as a range instead of a number


To account for each individuals unique weight fluctuation, our algorithm learns the individuals weekly weight fluctuations.  Once weight fluctuation can be accounted for, our algorithm detects changes in weight fluctuations to reveal the individuals projected weight range – two weeks into the future.

The weight range can be seen within the mobile app, and is displayed on the meter on the home screen.


Weight range simplified

On the graph above, note that the highest weight measurements of week four is heavier than the minimum weight of week one.  When comparing the weight range of week 1 and week 4, we can conclude that this individual is losing weight because the lowest and the highest weight measurements are also decreasing.  With four weeks of data showing a weight decrease, it can be determined that dehydration is not the main cause of weight reduction. Therefore, we can conclude that this person is losing weight.



  1. Benton, David, et al. "Minor degree of hypohydration adversely influences cognition: a mediator analysis." The American journal of clinical nutrition 104.3 (2016): 603-612

  2. Jones, Leon C., et al. "Active dehydration impairs upper and lower body anaerobic muscular power." The Journal of Strength & Conditioning Research 22.2 (2008): 455-463.

  3. Ritz, P., et al. "Effects of changes in water compartments on physiology and metabolism." European journal of clinical nutrition 57.S2 (2003): S2.

  4. Häussinger, D., et al. "Cellular hydration state: an important determinant of protein catabolism in health and disease." The Lancet 341.8856 (1993): 1330-1332.

  5. Popkin, Barry M., Kristen E. D'anci, and Irwin H. Rosenberg. "Water, hydration, and health." Nutrition reviews 68.8 (2010): 439-458.

  6. Kraft, Justin A., et al. "The influence of hydration on anaerobic performance: a review." Research quarterly for exercise and sport 83.2 (2012): 282-292.

  7. Maughan, Ronald J., and Louise M. Burke, eds. Handbook of sports medicine and science, sports nutrition. John Wiley & Sons, 2008.

  8. Prior, Barry M., et al. "Muscularity and the density of the fat-free mass in athletes." Journal of Applied Physiology 90.4 (2001): 1523-1531.

  9. Sillanpää, Elina, et al. "Body composition in 18‐to 88‐year‐old adults—comparison of multifrequency bioimpedance and dual‐energy X‐ray absorptiometry." Obesity 22.1 (2014): 101-109.

  10. Pateyjohns, Ian R., et al. "Comparison of three bioelectrical impedance methods with DXA in overweight and obese men." Obesity 14.11 (2006): 2064-2070.

  11. Saunders, Michael J., JENNIFER E. Blevins, and CRAIG E. Broeder. "Effects of hydration changes on bioelectrical impedance in endurance trained individuals." Medicine and science in sports and exercise 30.6 (1998): 885-892.



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