[Changelog] Beast Strength 1.4

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While all the our customers have been having their well-earned summer vacations, our development team have been toiling away in our nerd caves to bring you the major iOS release since the app launch.

Our focus for this release was improving general stability, provide a better offline experience, run our app natively for each iOS device, and last, but not least, repetitions detection.

Better offline experience
In early versions, the app was designed to use internet connection frequently to keep account’s data updated (like your 1RM specific for each exercise or custom exercises) and sync in our cloud your workouts right after you completed them. This architecture seems reasonable in first instance, but we got a lot of feedbacks that the common workout places are pretty raw, wild and crossfit-style so users could not have a stable connections available. So we came out with a solution that let you start and complete one or more workouts completely without internet, just make sure to login with your credentials one time. The app will obtain your personal data from cloud, also with closed app, using iOS’ background features.

iPad and iOS9 compatibility
In early versions, our app was optimized for small and portable devices such as iPhone and iPod but many athletes and trainers asked us to use their personal devices to know their Beast in the gym, whatever screens size they have.
As requested, during this summer, our developers built the same user experience also on larger screens, and many more improvements will come in the next versions.

Improving general stability
Month by month, we collected crash reports and feedbacks from our testers and customers.
Thanks to this stuff we put in place, our development team was able to fix and increase app overall stability. You will appreciate it!

UI improvement: focus on data your are developing

Our tester give us a lot of feedback on what users want to see for each moment. With this release we want put the focus on data you are developing with your workout.You can read more information, UI studies and next versions we did, in our CTO’s post, here.

Repetition detection
Some of our customers do not know that it is the app that actually detects repetitions, not the sensor itself. So, version by version, we are improving our reps marking algorithm, this means

Beast Strength 1.4 has been sent today for Apple’s review, and it will be available in App Store to all our customers in about a week. Stay Tuned!

For our fellow Android customers
We have not forgotten our Android customers: many updates will come in near days. Meanwhile check out posts about new Android versions released.

Daniel Sonny

by Daniel Sonny

Hi. I'm Daniel Sonny and i joined Beast as software engineer and mobile developer from very beginning. My main interests are algorithms and software development.

  • Mattias

    I still don’t get how the app can predict % of 1RM without having access to the Minimum Velocity Threshold.

  • Although the %1RM calculation based on Velocity is a good way to make estimations. it requires several metrics other than Minimum Velocity to work. Those same metrics are not stable (auto regulation won’t be a topic otherwise) and therefore cannot help calculating the 1RM on the fly. For these reason we use another strategy based on Strength.

  • Simon

    Some suggestions for further updates, which I think should be a priority…

    It seems that the sensor does not connect with the App running on iOS unless all other Bluetooth devices are disconnected. This is OK, but could be something worthy of consideration in developments.

    However, the biggest issue seems to be with the ability to delete ghost reps in the app itself. The scroll buttons on the bottom half of the screen (where the bars for individual reps appear) does not seem to work properly, meaning that it is impossible to scroll all the way to the right to see all reps in later sets. This means that it is impossible to delete all ghost reps in a session, which of course means that the statistics which the app displays are not accurate. Furthermore, when the workout is then uploaded, all of the ghost reps are uploaded too. Whilst they can then be deleted individually in the Web Portal, this is very fiddly and it seems to have no effect on the averages displayed on the Web Portal. What this means is that it then becomes impossible to compare different training sessions to see any improvement, because the data from the ghost reps corrupts the collective data.

    I would suggest that improving the App by an update to solve the problem of not being able to delete all ghost reps should be made a priority.

    I offer this suggestion in the interests of improving your product. It has great potential, but currently this problem is affecting its overall usefulness.

    • Hello Simon, we appreciate your feedback, thank you!

      We listened to your suggestions and we’ve already taken care of these issues, you will be able to enjoy the results soon in the next app version!

      Keep an eye on our blog next week we’ll be posting an article listing all the improvements and the new features coming in Beast 2.0!

  • Simon

    Well I’ve updated to the new version iOS version of Beast, but unfortunately the most problematic issue appears not to have been addressed.

    It is still not possible to delete ghost reps in the app. The scroll buttons on the bottom half of the screen (where the bars for individual reps appear) still do not seem to work properly, meaning that it is impossible to scroll all the way to the right to see all reps in later sets. This means that it is impossible to delete all ghost reps in a session, which of course means that the statistics which the app displays are not accurate. When the workout is then uploaded, all of the ghost reps are uploaded too.

    So it is still impossible to compare different training sessions to see any improvement, because the data from the ghost reps continues to corrupts the collective data.

    Can you please take steps to address this as soon as possible? Although the new app is cosmetically “nicer”, it still suffers from the same problems which, in practice, make the sensor entirely useless for tracking progress.