Arkadiusz Chrabąszczewski

Arkadiusz Chrabąszczewski, creator of SmartWorkout

Short answer

I created a gym workout log app and write this knowledge base. I have been programming for about 10 years, have lifted for years and keep up with strength training research. My articles rely on research from PubMed and on aggregate data from training logs.

Who I am

I'm Arkadiusz Chrabąszczewski. Since 2020 I have been designing and programming SmartWorkout, an app for logging workouts and building gym training plans. The first version reached the App Store in September 2021, and today the app is available in 11 languages. I have been programming for about 10 years, have lifted for years and keep up with strength training research.

What I do in the knowledge base and the app

I read and approve every Polish article before it goes live. Versions in other languages are translated from the Polish one, with the same facts and sources.

In the app I am responsible for the rules it uses to count your training, and the articles describe the same rules:

  • volume zones: a single table that applies to every muscle group and training level, from MV (2-4 sets per week) through MEV (4-10) and MAV (10-20) to MRV (20 or more); the weekly volume calculator shows the same zones;
  • set counting: a set where the muscle group works directly counts as 1, a set where it only assists counts as 0.5;
  • progression suggestions: after a workout the algorithm looks at weight, reps, RIR and the exercise history and suggests whether to add reps, add weight or stay at the current target. It is based on double progression, and an exercise with no history starts with a calibration: first targets that leave you some reps in reserve.

What my articles rely on

Every claim about what works cites a source in the text, most often a meta-analysis, review or position stand from PubMed. The volume zones rest on a meta-analysis of 67 studies, Pelland et al. 2025, and on the ACSM 2026 position stand.

Basis How we use it
Research meta-analyses, reviews and position stands from PubMed first; I check every number in the paper itself and never take it from someone else's write-up
SmartWorkout log data aggregate, anonymized statistics; every row covers at least 50 people; we describe associations, and claims about cause and effect come only from research
Our practice advice without a citation always comes with a reason, e.g. RIR 1 on machines, because if you misjudge your reserve there and hit failure, nothing bad happens

The data comes mostly from men in Poland who train at the gym, so it shows how that group trains, not a global average. How the texts are made and how we protect privacy in the data is described on the how we write page. All articles are in the knowledge base.

Log it in SmartWorkout

A free workout log for iPhone and Android: sets, RIR, tempo, exercise groups and plans.

app-storegoogle-play

Questions

Who created SmartWorkout?

I did, the author of this knowledge base. That is why the articles describe the same volume zones the app shows.

Where does the data in the SmartWorkout data boxes come from?

From anonymized training logs in the app, counted in aggregate. We never show a table row based on fewer than 50 people.

Do you write about your own training?

No. One person is too small a sample, so I base advice on research, on data from many people, or on a reason I give in the text.

Sources

  1. Pelland JC, Remmert JF, Robinson ZP, et al. The Resistance Training Dose Response: Meta-Regressions Exploring the Effects of Weekly Volume and Frequency on Muscle Hypertrophy and Strength Gains. Sports Med. 2026;56(2):481-505 (online 2025).
  2. Currier BS, D'Souza AC, Singh MAF, et al. American College of Sports Medicine Position Stand. Resistance Training Prescription for Muscle Function, Hypertrophy, and Physical Performance in Healthy Adults: An Overview of Reviews. Med Sci Sports Exerc. 2026;58(4):851-872.