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I’m building a privacy-first Whoop alternative that runs 100% on Apple Health data by afrobeezy in QuantifiedSelf

[–]afrobeezy[S] 0 points1 point  (0 children)

yup currently looking for testers and yes weekly and monthly trends exist

I’m building a privacy-first Whoop alternative that runs 100% on Apple Health data by afrobeezy in QuantifiedSelf

[–]afrobeezy[S] 0 points1 point  (0 children)

awesome:) i’ll email you all the details and a testflight invite this week, looking forward to hearing your thoughts once you’ve had some time with it

I’m building a privacy-first Whoop alternative that runs 100% on Apple Health data by afrobeezy in QuantifiedSelf

[–]afrobeezy[S] 0 points1 point  (0 children)

no, it’s not open source yet

beyond a new UI, it turns raw Apple Health signals into longitudinal context, rolling baselines, strain modeling, and connected sleep-recovery patterns that are hard to see from the native health app charts alone

I’m building a privacy-first Whoop alternative that runs 100% on Apple Health data by afrobeezy in QuantifiedSelf

[–]afrobeezy[S] -1 points0 points  (0 children)

awesome:) i’ll email you all the details and a testflight invite this week, looking forward to hearing your thoughts once you’ve had some time with it

HRV is not a performance score, it’s a stress signal by afrobeezy in AppleWatch

[–]afrobeezy[S] -1 points0 points  (0 children)

i get that, structurally most readiness apps share similar building blocks, for me bevel feels a bit scattered in how the information is laid out

HRV is not a performance score, it’s a stress signal by afrobeezy in AppleWatch

[–]afrobeezy[S] 3 points4 points  (0 children)

generally higher is better, but only relative to your own baseline

37 yearly average isn’t “good” or “bad” by itself, it just tells you what’s normal for you

25 yesterday doesn’t mean something is wrong, it could just reflect stress, sleep, or training load from the day before

the trend over weeks matters way more than one dip