Hiring fitness UGC creators
Looking for fitness/lifestyle creators who are clearly active and comfortable on camera to make daily content for a sleep/fitness tech app.
Comment your email and portfolio if interested.
Hiring fitness UGC creators
Looking for fitness/lifestyle creators who are clearly active and comfortable on camera to make daily content for a sleep/fitness tech app.
Comment your email and portfolio if interested.
Hiring fitness UGC creators
Looking for fitness/lifestyle creators who are clearly active and comfortable on camera to make daily content for a sleep/fitness tech app.
Comment your email and portfolio if interested.
Seeing a lot of hate here can't decide what to think. I am looking to buy one of these to help me, or connect my whoop to my thermostat for some of the same effect using this app. Help
Your Oura knows the exact second you hit deep sleep. Your Whoop logs every toss and HRV dip. Thousands of data points a night. And every morning you get a score and a pat on the head. "Try better sleep hygiene." Cool. Thanks.
Meanwhile the biggest lever on sleep quality, temperature, sits completely unautomated. Your body runs a curve every night: cool to fall asleep, cold for deep sleep, warm to wake. Your thermostat runs one number for eight hours. And in REM your body can't thermoregulate at all, so it's stuck with whatever you set at 9pm.
So here's what I've been building. CircadiaOS watches your wearable for 14 nights and learns how you sleep. Not a generic "65 is optimal" rule, your actual curve. Then it takes over your existing thermostat and runs that curve every night, cooling you into deep sleep, holding your low point, warming you toward wake. Every morning it pulls the new data and tunes itself, so it gets sharper the longer you run it. Wearable measures, app decides, thermostat acts, then it grades itself and adjusts. A closed loop.
No new hardware. Runs on the Oura, Whoop, Nest, ecobee you already own. Eight Sleep charges 3 grand to do this with a mattress. Doing it in software with gear that's already in your house, for the price of a sandwich a month, seems like a no brainer.
Hey everyone — I’m one of the founders of CircadiaOS.
We built this because Oura gives great sleep data, but there’s still a gap between seeing the numbers and knowing what to change. You wake up, HRV is down, sleep efficiency is off, more wakeups than usual and then you’re basically left guessing.
The variable we’re going after is temperature.
Most people set their room to one temperature and leave it there all night. But your body doesn’t operate that way. Core body temperature changes across sleep, and the thermal environment can impact sleep onset, wakeups, HRV, sleep efficiency, and recovery.
So instead of asking “what’s the best sleep temperature?” we’re focused on finding the best temperature curve for each person.
CircadiaOS connects Oura sleep outcomes with smart thermostat adjustments across the night. It looks at HRV, sleep efficiency, wakeups, REM/deep sleep, and morning feedback, then helps test which temperature pattern actually seems to produce better sleep for you.
Not pretending temperature explains everything. Sleep is messy. Alcohol, stress, training, sickness, and timing all matter. But temperature is one of the few recovery inputs you can actually control every single night.
Would love feedback from this group, especially anyone who has messed around with AC schedules, Eight Sleep, ChiliPad, sleeping colder, or changing room temp based on Oura data.
Be honest about what your tracker does for you. It tells you that you slept badly, hands you a number, and stops. The data's good, it just dies on the screen.
Here's the part you're not using: temperature. Deep sleep is where your body recovers, and to get there your core temp has to drop. Run one flat thermostat setting all night and you're fighting your own physiology, especially in the back half when you should be coldest and the room drifts warm. That's the 3am wake-up you can't explain. That's the recovery score that won't climb no matter what you throw at it.
Eight Sleep figured this out and built a $5,000 mattress around it. It works, that's the point, temperature is what actually moves recovery. But you don't need a five grand cooling mattress when you can cool the room, and you already own the tracker that knows what your body's doing all night.
So I built CircadiaOS. It pulls your sleep data from your wearable (Oura, Whoop, Garmin, Apple Watch, etc.), learns the temperature your body recovers best at, then runs your thermostat to match through the night instead of one dumb setpoint. The data you're already collecting finally does something.
Free month trial running now (iOS, US). Comment or DM and I'll get you in.
For the recovery crowd here. Eight Sleep nailed a real idea: deep sleep is where most physical recovery happens, and your body has to drop its core temp to get there, so dialing temperature to your sleep actually moves recovery. The problem is it's a $2,000+ mattress cover with a subscription on top.
I went a different route. Instead of cooling the mattress surface, I use the wearable and thermostat most people already own. Pull sleep data from the wearable (Oura, Whoop, Garmin, Apple Watch), learn the temperature curve my body recovers best at over a couple weeks, then run the thermostat along that curve through the night instead of a flat setpoint. Especially matters in the back half of the night, when you should be coldest and most rooms drift warm.
It's air, not surface cooling, so not a 1:1 swap, I'll be upfront about that. But for a fraction of the price it gets at the same goal: the right temperature for your body, all night, off your own data.
This turned into an app (CircadiaOS, iOS), running a free month trial right now. Not dropping a link per the sub rules, happy to answer anything about the approach or the science.
I do a lot of running/lifting, but physique is getting pretty stagnant, is it time to flip to crossfit?
Project writeup since this sub likes the details.
Goal: stop running a flat overnight setpoint. Your body drops its core temp to get into deep sleep, so a static thermostat works against the back half of the night. I wanted the room to follow a curve instead.
How it's wired:
Stack: Terra (wearable data), Seam (thermostat control), Nest, Whoop.
Disclosure: this grew into an app I built, so I'm not pretending I'm a neutral party here. Not linking it per the sub rules, but happy to answer anything about how it works. Mostly posting for the build discussion, curious how people here would architect the scheduling side. I went native, but I imagine some of you would wire this through your existing setup. Anyone automated thermostat scheduling off biometric or health data before?
Finally got this working after messing with it for a while. Pulls my sleep data from my [Garmin/Oura/whatever you actually use] through the Terra API, figures out the temperature I actually sleep best at over a couple weeks of calibration, then sends schedules to my [Nest/ecobee] through Seam so the room shifts across the night instead of sitting on one setpoint. Premise is your body cools down to get into deep sleep and a static setting works against that.
Products used: Terra (wearable data), Seam (thermostat control), your thermostat brand (I use nest), your wearable (I have whoop).
Started as a personal project, turned into an app a few people asked me to ship, so to be upfront I did build it (CircadiaOS). Mainly posting because I haven't seen anyone wire this loop together and figured this sub would have opinions. Anyone done something similar in Home Assistant? I almost built it on HA before going native and I'm curious how you'd approach the thermostat scheduling side.
Apply here, looking for a LARGE volume. Need asap, will pay well.
This sub feels like the right crowd for this.
The premise: your body has to cool down to drop into deep sleep, and what it needs shifts across the night, cooler in your deepest stages, warming as you head toward waking. Most of us set a thermostat once and leave it, which fights that whole process.
Eight Sleep nailed the core idea, optimize temperature based on your sleep, but it's a $2,000+ mattress cover with a subscription on top. I wanted that same data-driven approach without the hardware cost, using the wearable and thermostat a lot of people already have.
So I built CircadiaOS. It connects your wearable (Oura, Whoop, Garmin, Apple Watch via Terra), learns your sleep over a short calibration, then derives your personal ideal sleep temperature instead of a generic number. With a smart thermostat it automates your room across the night. It's cooling air instead of the mattress surface, so it's not a 1:1 swap, but for a fraction of the price it gets at the same goal: the right temperature for your body, all night, based on your actual data.
Running a free month trial right now, iOS/US only. Mostly want people who obsess over this stuff to try it and tell me where it falls short. Comment or DM and I'll set you up.
Made an iOS app called CircadiaOS.
The idea: your body has to cool down to drop into deep sleep, but everyone just sets their thermostat to one number and forgets it. Your wearable already knows how you sleep, so why not use that data to figure out the temperature your body actually wants?
It connects your wearable (Oura, Whoop, Garmin, Apple Watch via Terra), learns your sleep over a calibration phase, then shows you your personal ideal sleep temperature, your number, not a generic "65 degrees." If you've got a smart thermostat, it automates your room through the whole night so it tracks what your body needs instead of holding one setting.
Running a free month trial right now. iOS and US only for now. Comment or DM if you want a invite, and I'm happy to answer anything about how it works.
This sub seemed like the right place for this since it's all about acting on your own data.
The premise: your body has to cool down to drop into deep sleep, and what it needs shifts across the night, cooler in your deepest stages, warmer as you approach waking. Most people set a thermostat once and leave it, which is a fixed setting against a moving target. I wanted to actually quantify the temperature my body wanted and do something with it.
So I built CircadiaOS. It pulls your sleep data via Terra (Oura, Whoop, Garmin, Apple Watch), runs a calibration phase to learn your baseline, then derives your personal ideal sleep temperature from your own data instead of a generic rule. If you've got a smart thermostat, it automates the room across the night; if not, it just shows you your number.
Things I'd genuinely want this sub's take on:
iOS/US only right now. Not here to pitch, I want people who think about this stuff to poke holes in the approach.
Recruiting beta testers for CircadiaOS, a sleep tool I built.
What it does: connects your wearable (Oura, Whoop, Garmin, or Apple Watch via Terra) and your smart thermostat, learns your sleep over the first couple weeks, then adjusts your room temperature through the night. Your body cools down to drop into deep sleep, and a static thermostat setting works against that, so this tracks what your body actually needs instead of holding one number all night.
Who I need:
What you get: free one month trial, and direct line to me for anything that breaks or feels off.
Comment or DM if you've got the setup and want in. Happy to answer questions about how it works.
Spent the last while going deep on why my sleep scores were inconsistent even when I did everything "right," and the thing that kept coming back was room temperature.
The basic mechanism: your body has to cool down slightly to drop into deep sleep. A room that's too warm, or that drifts warmer as the night goes on, works against that. What surprised me is that it's not a single setpoint, what your body wants actually shifts across the night, lower in your deepest stages and rising as you head toward waking. So a thermostat you set once and forget is basically fighting a moving target for 8 hours.
A few things that helped me:
Curious how people here handle this. Anyone actively adjusting temp through the night vs just setting it low and leaving it? And for those with Oura/Whoop/Garmin, have you actually correlated room temp against your deep sleep numbers, or is that too noisy to see?
(Full disclosure since I'd want to know: this rabbit hole is partly because I'm building something in this space. Not linking anything, just genuinely want to hear how people approach the temperature problem.)
Longtime Wearable data obsesser. The thing that always got me: Body Battery and my sleep score tell me I slept badly, but they can't do anything about why. Most of the time the why is my room, it drifts warm overnight and I'm up at 3am every time.
So I built CircadiaOS. It connects your Fitbit and your smart thermostat, learns your sleep from the data, and adjusts your room temperature through the night so your body can actually stay in deep sleep. Your core temp has to drop to sleep well, and a static thermostat fights that. This closes the loop.
It's early (iOS, US only right now) and I'm not trying to sell anyone, I want people who'll actually push on it and tell me where it's wrong. Free access for beta testers, no catch.
If you've got a smart thermostat and a Fitbit and you're curious, comment here and I'll get you set up. Happy to answer anything about how it works or the sleep science behind it.
It's something for sleep temperature
How do you guys decide what is the best temperature to sleep at? Do you use your wearable data somehow?