Gpath

I was genuinely excited to receive the Gpath Pin. I think the idea behind it is fantastic, and I believe it has the potential to become one of the best training tools on the market. However, after using it extensively on a variety of machines and exercises, I’ve found a number of software limitations that prevent it from delivering the accurate feedback it’s designed to provide.
1. Pulley ratio support is essential
One of the biggest missing features is the ability to select the pulley ratio of a machine.
Many cable machines use different ratios, such as 1:1, 1:2 or even 1:3. These dramatically change how far and how fast the weight stack moves compared to the handle. Without allowing users to select the pulley ratio, measurements such as velocity, range of motion and effort become inaccurate.
This should be a configurable setting for every cable exercise.
2. Axis reversal / movement inversion
An axis inversion option is also needed.
When mounting the Pin on the attachment or cable instead of the weight stack, the movement direction becomes reversed. Having the option to invert the tracking axis would make the device compatible with many more machine designs and alternative mounting positions.
3. Slow, controlled reps are not tracked correctly
This is my biggest concern.
The Pin appears to require a minimum velocity before it recognizes movement.
The slower and more controlled I perform a rep, the less likely it is to be detected. Ironically, this encourages worse lifting technique because I have to move faster or “jerk” the weight for the app to recognize the rep.
Even on simple exercises like a lat pulldown, I sometimes have to accelerate the weight much harder than I normally would just for the Pin to register the movement.
A training tool should reward controlled lifting, not penalize it.
4. The final part of the eccentric isn’t tracked
During slow eccentrics, especially near the end of the lowering phase where you deliberately slow down to maintain control, the app often behaves as if the weight has stopped moving completely.
The weight is still moving under control, but the app appears to ignore this portion of the rep.
5. Controlled Lowering doesn’t match reality
Because of the issue above, the Controlled Lowering feedback often says I lowered the weight too quickly, while in reality I deliberately controlled the entire eccentric.
The control graph doesn’t reflect how the reps were actually performed.
6. Effort estimation doesn’t reflect reality
The Easy / Moderate / Hard effort graph frequently doesn’t match how difficult the set actually was.
At the moment it feels disconnected from real-world effort, making it difficult to trust.
7. Internal inconsistencies
Sometimes the rep playback appears to show little or no movement during the end of the eccentric, yet the overview still classifies the eccentric as “too fast.”
These two pieces of feedback contradict each other, making it difficult to know which one is correct.
8. Reps disappear during a set
This is probably the biggest bug I’ve encountered.
While I’m still performing a set, the app sometimes decides that the set has ended.
It will count several reps correctly, then suddenly finish the set and start a new one while I’m still lifting.
This happens most often when training with slow, controlled reps, pausing briefly after the eccentric, or deliberately squeezing the target muscle before beginning the next repetition.
The app seems to interpret these controlled pauses as inactivity instead of recognizing them as part of the same set.
As a result, reps disappear, sets are split into multiple sets, and workout data becomes unreliable.
9. Software settings don’t always apply
Several settings don’t seem to work correctly.
Changing the countdown timer before a set doesn’t always apply the selected value.
Auto-pause behaves inconsistently and sometimes remains visually paused while the workout continues.
Audio feedback settings inside the workout don’t always match the audio settings configured in the profile.
10. Exercise database needs improvement
The exercise library could be expanded and cleaned up.
More exercise options are needed.
Exercise names could be clearer.
Some muscle group assignments appear incorrect (for example, Push-ups being listed as targeting the lats).
11. More user customization
I’d love to see additional options such as:
Adjustable rep detection sensitivity.
Adjustable velocity thresholds.
Pulley ratio selection.
Axis inversion.
Manual calibration.
The ability to tune detection for slow hypertrophy-style training.
Overall
Despite all of these issues, I still think Gpath has enormous potential.
The encouraging part is that almost everything I’ve experienced feels like a software problem rather than a hardware limitation. Modern motion sensors should easily detect these movements, so I believe many of these issues could be resolved with software updates.
I truly hope the developers continue improving the platform because I want this product to succeed.
At the moment, however, the software often encourages users to move the weight faster and with less control simply to make the app recognize the reps. For a product intended to improve training quality, that is probably the single biggest issue that needs to be addressed.
I can already see how great Gpath could become. It just needs the software to catch up with the hardware.