September 5, 2019 | Version v6.8
Comparing the fit records in GoldenCheetah, I see that data with zero power is skipped in the record instead of entering the zero value.
It is interesting that GC calculates power based on these fields, but where cadence is zero, it inserts zero power. Over time, the data pass precisely due to the lack of zero power recording in the case of zero cadence. Will you be able to improve the data recording so that also zero power at zero term is saved?
August 13, 2019 | Version v6.8
It would be great if in addition to the data provided, you could obtain the power you have given by eliminating the moments when you do not pedal in addition to the one currently displayed.
If possible, an estimate of ftp would be wonderful.
very good job, it is the best application by far
August 12, 2019 | Version v6.8
This is pretty cool. I just started using it and trialling xert just when I wont have access to a power meter for the next few weeks... but I think it will work well when I get a chance to calibrate properly!
Thank you for making this.
August 7, 2019 | Version v6.8
Great data field. But if you use it with a power meter to calibrate, your maximum power in Training peaks will be the avg power you set for using the data field without a heart rate monitor, even if you use it with a heart rate monitor. This is only in Training peaks. I use it with a Quarq, and I get two power meter graphs in Training Peaks, with one being power and the other being right side power. Not sure how Training Peaks picks these. But the graphs get truncated in TP at the NP you set in HR2P. So, if you use Training Peaks, after you calibrate HR2P against your power meter, you need to delete the HR2P data field or your Training Peaks Training load and power curves will be severely corrupted. After 3 months, I finally looked closely at the Training Peaks data which no longer mirrors XERT data. For XERT, HR2P is not a problem at all, even if you use it with your power meter. Just watch out for what it does to your Training Peaks power curves.
June 28, 2019 | Version 6.7
I use this when I ride my Brompton which doesn't have a power meter, so I can keep up with my XERT training plan and XSS numbers. However, with version 6.7, on my Edge 1030, in the settings in Garmin Connect, the settings do not "stick." I have to reset them every time I sync. So, one day the data for power is pretty good, the next it is off by 15%.
June 29, 2019, DaveBrillhart
Strange. I’ll check and fix that if I can repeat it on my 1030. Thx!
June 26, 2019 | Version 6.7
Mountain bike doesn't have a power meter. My commutes to work on my road bike I find this app to be very accurate for average power.
June 26, 2019, DaveBrillhart
Awesome. Thanks for the feedback. That is why I developed this, for my MTB rides. :-)
June 25, 2019 | Version 6.7
Hi Dave, any chance supporting scaled font sizes for Edge 130? Currently when viewed with one data field (2 columns x 4 rows) displayed, it is inadequate to see. This is also the case when the data field is 2 columns x 2 rows as the font does not scale or adapt to the available space provided by these data field size on Edge 130. My other feedback is to add either a different warmup scaling factor other than the 40%-0% or let the user change the warmup time period from 7 minutes to user choice.
June 26, 2019, DaveBrillhart
Thank you! I need to run the DF in the Edge 130 simulator and see how the fonts appear. And I will consider and adjustable warmup. I appreciate the feedback!
April 18, 2019 | Version v6.6
I really like this field.
I do not use a power meter because I am less focused on increasing my VO2 max and anaerobic efforts and more focused on enjoying the sport...my personal preference. Also I do not race. However, that doesn’t mean I don’t like to see if I am getting stronger and your app does give me a pretty cool way to do that.
I was wondering if in a paid version you could do 2 things....1) have the option to stop the scrolling between the data and 2) include normalized power.
Thanks for all the work.
March 17, 2019 | Version v4.7
Obviously, there are limitations to this estimation, but it works surprisingly well! Very good for estimating and keeping track of training load.
March 17, 2019, DaveBrillhart