Two weeks in my @Levels program and have a bunch of tests & thoughts I'll share later but this was too interesting not to share now. Ate 3 pieces of pizza for dinner just to see what it did to my glucose... #wearables #metabolicfitness #metabolism #DigitalHealth
Initial response was not bad (relatively) for the first 3 hours - even got a score of 8 from @Levels but then it got interesting. Glucose continued to bounce and stay high for the next 7 (!) hours, well into my sleep... 
Glucose finally came down around 1AM - my sleep was terrible that night & @ouraring showed my HRV finally started going up (good) and resting HR came down (also good) right around 1AM, same time the glucose leveled...
Fascinating to see the systemic response and recovery from multiple sensor inputs. Can't wait to see how #wearables like this continue to evolve and combine to give people deeper insights into their health.
Finally getting a chance to share a few more thoughts on @Levels after 4-week program. Overall impression - this is a true gamechanger (overused term but it applies here) - it's the next step in understanding how your body is responding to what you are doing every day.
Not just food, but exercise, sleep, travel, etc all have a measurable impact. Lack of sleep in particular hits my glucose response next day both in amplitude & duration of spikes. Also surprised how high glucose spikes go from intense exercise - sometimes higher than crap food
Near real-time feedback loop with @Levels is really powerful - hours, not days/weeks/months. This is rare in the world of health/fitness - most impacts take time to be seen in resting heart rate, VO2 max, body comp, blood work, lipid panels, etc.
The built-in accountability is also powerful - you can't hide from it like you can with some other tracking tools. Whatever you put in your body - good or bad - you're going to see the response.
This will get really interesting with other data integration - biometric trending (HRV, BP, etc), blood work, genetics, sleep quant, food diary for amounts, macros, etc (quantity/quality impacts glucose resp for me), more granular workout/activity data, fasting tracker, etc
Huge potential for public health impact when solutions like @Levels scale out and the sensor tech blends further into the background, impact at individual level and population-level trends/guidance/etc. Far more effective than treating diabetes, metabolic syndrome long term
Excited to see these integrations come together and continued development. Keep up the great work @SamCorcos @joshuasforrest @mike__didonato @DrCaseysKitchen @davidflinner and @Levels team
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