I used to love Google Timeline before they deleted 10 years of my data. Now one needs a different way of doing this. It might not be as useful as tracking resting heart rate, but I've always liked to track every county, state, and country i've been to. I'm interested if anyone is doing this in other geographies (e.g., whatever the county equivalent in, say, France is). Also curious if, in a group like this, where tracking oneself is the main event, what level of concern there is about constantly tracking and storing your location data.

I used to have an Apple Watch but stopped wearing it for all the extra stuff and I now wear a Garmin and genuinely enjoy having data on my daily steps,
calories burned, and activity levels. But I also own Casio watches that I'd love to wear more often.

The problem is that I've become so accustomed to having all this data that wearing a regular watch almost feels like I'm missing something. At the same time, I wonder whether constantly tracking these metrics is making me a little too focused on numbers rather than simply enjoying being active. I’d also even argue I obsessed over hitting steps and calories amount.

For those of you into quantified self, how do you decide which metrics are actually useful to track vs which ones just create noise or unnecessary pressure?

Have any of you deliberately stopped tracking certain things and found that you felt better for it? I'm curious how you balance using data to improve your life without feeling like you have to measure everything.

Context: ~2 years of continuous data (Oura for sleep/HRV, Strong for training, everything piped into a Postgres db I spent too long on). Bloodwork is the my weakest link.

Current state:
- 1 draw/year at my annual physical
- Different lab 2 of the last 3 times
- Panel composition varies year to year
- No control over fasting or time of draw

So I have n=3, collected under inconsistent conditions so I can't find a patter.

Questions for people tracking labs seriously:
1. What cadence are you on: quarterly, biannual, event-driven?
2. How much does keeping the same lab/assay matter in practice?
3. Is there a minimum frequency below which you'd say the data isn't worth collecting for trend purposes?

I’ve been trying to get a single, useful view of my health data and I keep hitting walls. Curious how others handle this.

My setup:

• Two watches: a CMF Watch (Nothing) that I use for workouts and a Timberland watch for everyday wear. Some days I wear neither and only have my phone.
• Android 16, so everything ends up in Health Connect.
• Home workouts with Feeel, which doesn’t write to Health Connect, so those sessions never show up anywhere.

What I’d like is pretty simple on paper:

1. One place that aggregates data from all my devices (sleep, heart rate, steps, workouts) and handles the overlap when two devices record the same thing.
2. A training plan and a diet plan that adapt to that data.
3. An AI assistant (I use Claude) that can read the data and adjust the plans, instead of a generic coach locked to one brand’s hardware.

What I’ve found so far:

• Google Health has an AI coach, but it seems to require a Fitbit or Pixel Watch.
• There are some MCP connectors and webhook apps that bridge Health Connect to an AI or a server, but nothing that covers the whole loop.
• Open-source workout apps are great but mostly don’t talk to Health Connect.

So, a few questions:

• How do you deal with multiple devices recording the same data? Do you pick one source per metric?
• Has anyone built a self-hosted pipeline from Health Connect to their own server or database? What did you use?
• Is anyone using an LLM to adjust training or nutrition based on real wearable data? Did it actually help, or was it a gimmick?
• Is there an app I’m missing that already does most of this?

Not selling anything, just trying to figure out whether I should build this for myself or whether a good solution already exists.

I was reading a Financial Times article about a new UK review of mental health and ADHD diagnosis.

A question that goes well beyond ADHD.

We're getting better at measuring almost everything about ourselves: attention, sleep, mood, activity, heart rate, recovery and cognitive performance.

But how do we decide when a measurable difference is actually a medical problem?

A number outside the reference range doesn't automatically mean someone is unhealthy. And being within the range doesn't necessarily mean everything is fine.

I think the same broader question applies to how we interpret behavioural and cognitive differences, although diagnosing ADHD is obviously much more complex than interpreting a single metric.

How do you distinguish between useful self-knowledge and unnecessary medicalisation?

Has tracking something ever made you worry about a problem that wasn't actually affecting your life?

I know there are EEG devices like Muse you can use for discrete sessions, but would you want an all-day PPG+EEG fitness tracker? Could be used to track longitudinal trends for calm, focus, computed pulse+band frequency metrics, correlations with self-report data…

Of course it would have to be small and stylish enough for people to be comfortable wearing it all day. So think something like this with open-ear audio. I know the form factor limits the number of EEG channels, but it’s more than fitness trackers can do right now.

Once I started wfh, I started cutting back on caffeine. I kept getting a racing heartbeat, shaky hands, chest tightness, and this weird weak and jittery feeling throughout the workday. My blood pressure was also consistently higher than normal. Eventually, my doctor told me to cut caffeine out completely, including energy drinks and anything else with caffeine in it.

When I still commuted, I'd grab a coffee from the shop below my office. Looking back at my health log, I'm just glad I listened to my doctor.

I still check my blood pressure most mornings. Catching the problem early made a big difference. Cutting out caffeine has helped more than I expected.

I train for triathlon and track everything with Garmin, but the data never answered my main question: is a session actually progress, or just a good day? So I built Fitvio. It compares every workout with my own similar sessions and says better, in line or worse, with the reasons, like efficiency and pace at the same heart rate, swim pace and SWOLF, or estimated 1RM in the gym.

Try it with made-up data, nothing to install: https://romanbrej.github.io/fitvio/

Everything runs and stays on my your Raspberry Pi or Server. Free and open source: https://github.com/romanbrej/fitvio

I have been working on this extensively for over a year as a person navigating the landscape of lupus, if you want to see the full breakdown of the research behind my model check out https://github.com/alaricmoore/sardinetracker/blob/main/MODEL.md

I’d love any feedback, particularly from SARD patients and clinicians who are familiar with lupus spectrum disease.

It’s AGPL licensed, open source and entirely free. I built this for my personal needs, but figured I’d share it.

I wanted to ask Claude about my own sleep and HRV instead of using Fitbit's built-in AI coach, so I built a small pipeline over two sessions with Claude Code. Sharing in case it's useful to anyone.

How it works

Gotchas I hit, if you build something similar

On building it with AI: I barely know Kotlin. What made it work was writing a detailed plan first, having it reviewed (I literally pasted GPT's critiques back to Claude), and insisting on tests. The tests caught several real bugs, including a timestamp-format bug and a sync-resume edge case.

Repo (MIT, with a setup guide): https://github.com/jatin1322/fitbit-health-mcp

Happy to answer questions or take feedback, especially from anyone using Samsung Health or Garmin through Health Connect.

is there any app or device which tracks my movement at all times during the day like gps wise, where i went, which path i took, and how fast or slow i was going with time stamps,
and also one for time tracking like a physical device hopefully which lets me record time stamps, i record time stamps for various things like when i started a particular activity or when an event took place and i record it to the second so keeping the clock app is straining so i was wondering if theres anything that just lets me do it and lets me add notes

( sorry for bad grammar, english is not my first language )

I'm a woman. A year ago I decided to get my health back on track and lose some weight: clean whole foods, moved every day, got sunlight. During the year, I weighed myself every day, more out of curiosity — despite many people suggesting "throwing away your scale" when losing weight. I'm glad that I did not throw away my scale. I made a lot of interesting observations!!!

Here is what I've found:

• Right after my period, I often start to lose water weight.
• 2–3 days before ovulation, my weight tends to rise very quickly. I could gain 2-3 within 2 days. I know it is just water, because I always feel very thirsty around this time.
• 2-3 days after ovulation, my weight starts to lose very quickly, too. I go to bathroom more often than other days. I call it "a whoosh". 😄
• Before my period, I start to gain weight again. That completes the circle of menstruation.

Until recently, I was pretty satisfied about my weight and decided to build some muscle. I do progressive overload weight training every day. Even I eat the same, I start to gain weight. I was not sure how much weight gain is acceptable.

I did some research and found out under 0.5% cycle-to-cycle = lean gain. (My own heuristic, not a medical standard — a scale alone can't tell muscle from fat.)

I built a tool (HerWeigh) to chart it all out and it helps me not panic when I see big 2–3 lb swings. It reads your Apple Health data on device and never sends it out. Women's bodies are truly amazing!

App Store: https://apps.apple.com/app/id6757766090

heyy guys, i am new to the community and i am thinking of buying an open bci cyton board to track my brain waves while doing various things as other brain wave capture methods either lock the data or the data is mostly inaccurate so i am thinking of buying this
do any of you people have experience with this and let me know if itll actually be useful or like how or what are the problems and such with it

i will start tracking my brain waves and my HRV by a polar h10, besides this, i am logging everything about my data from hourly data like what i did at what hour of what day, what i ate, how much i ate and what all i did on a particular day, so before i went ahead and purchased the cyton kit, i want ed to hear about your experiences with it

sorry for bad grammar (english is not my first langauge )

I've been saving data on myself for a long time: workouts, DEXA scans, CGM, sleep, food logs, even how fast I can take the stairs with a bad knee. What I've learned is that collecting it is the easy part. The hard part is deciding what to ask and doing the analysis in a way that usefully informs future behavior.

So I'm curious what other people here are actually trying to settle. Not which device to buy. The question you'd want your data to answer if it could.

Mine right now:

- Why haven't I been able to gain more lean mass, and was it sleep or food during the one stretch when I did?

- Are my knee arthritis treatments doing anything, or do I just want them to be?

- Do two different DEXA machines agree about the same body?

- Is my mood measurably related to sleep, diet, exercise, season?

- Does my average glucose correlate with longer working hours?

- Does late night computer work really affect my sleep?

What's yours? And what are you tracking that might answer it, or what would you need to start tracking?

reviewing how my time was spent in September, not as much variety as I reach for. Just going through the motions for the most part it seemed. The things that are important to me barely showed up, physical health/exercising (turquoise); mental health/meditation/journaling (hot pink); there was some distress/grief (red) as I lost a dear coworker early in the month, it was a difficult month to keep focused on what mattered as I had some lows to get through.

I've spent over a year tracking my health and training, and one thing keeps happening that I didn't really expect.

Sometimes the numbers get worse, but the rest of the day doesn't.

In August, my weekly daily HRV dropped from 62.0 to 57.3 ms while my average sleeping heart rate increased from 50.9 to 56.4 bpm.

But my regular incline walking and strength sessions remained intact. No noticeable loss of performance, no unusual difficulty completing them, and no need to change the workload.

The recovery numbers eventually improved again.

I don't think that means the wearable was wrong. There could have been real physiological strain that simply wasn't obvious in my training. But it made me question how much weight I should give any single reading.

Something similar happened recently.

I took several days off training while traveling. When I returned, I went straight back to my normal routine without trying to make up missed sessions.

Five consecutive days, 500 minutes of combined aerobic and strength work. Some mild stiffness on the first day, then everything felt normal again.

During that same week, two nights showed unusual early heart-rate elevations that settled later in the night. Neither was followed by an obvious decline in next-day training.

Even my biological-aging measurements have disagreed.

My DunedinPACE results moved from 0.88 to 0.79 to 0.77 across three tests. Meanwhile, another biological-age estimate improved substantially before rebounding. I'd registered a prediction of continued overall improvement before the last test.

That prediction failed.

I'm keeping that result alongside the favorable ones.

The public archive now contains 238 consecutive days of structured observations, 383 training sessions, sleep records, context events, biological testing, and the prediction outcomes.

It's an uncontrolled N=1 record, so I'm not claiming these observations establish causation or that unfavorable recovery readings should be ignored.

What has changed is how I approach the data.

I'm becoming less interested in whether a number looks good on a particular morning and more interested in what combination of observations actually justifies changing something.

For those of you who've tracked yourselves long-term, what makes you act on a metric?

Do you have specific thresholds, look for multiple signals agreeing, or wait to see whether something changes in how you actually function?

I've kept the underlying data, weekly reports, and failed predictions public here for anyone interested in examining them:

https://github.com/CDHughett/daniel-longitudinal-public

Post your apps here, and please support people bringing unique ideas to this space.

I’ve been doing CBT-I sleep restriction for a few weeks.

My main problem is early waking. I usually don’t have much trouble falling asleep, but I often wake up too early and can’t get back to sleep.

My sleep window was around 11:30 PM to 6:30 AM.

After a few weeks, my sleep efficiency did improve. I also spend less time awake in bed.

But the early waking is still there.

So I’m not sure how to think about the result. It seems like sleep restriction is doing what it is supposed to do in terms of consolidating sleep, but the symptom I care about most hasn’t changed much.

The other difficult part is daytime fatigue. Keeping the sleep window consistent is pretty hard when I already feel tired during the day.

I made a short video about what I did and the data I tracked, if anyone is interested:

https://youtu.be/s-wwGAidBK4

For people who have tried CBT-I: did early-morning waking take longer to improve than sleep efficiency? Or was sleep restriction just not very effective for that problem for you?

Every mood app I've tried (Daylio included) lasts me about three weeks. I tap a face, pick some icons, get a chart. Cool, I was sad on Tuesday. I knew that.

What I actually want to know is why. So I started building my own thing, called Moodzu.

The idea: you just throw stuff in. A gym photo, a song you had on repeat, a 10-second voice note, a couple of words. Then the AI looks for patterns and tells you in plain words, like "you felt better on most days you trained in the morning," and shows you the actual moments behind it. No mood graphs.

Two other things I wanted for myself:

• when a week is rough, I don't want to log it in the moment, so you can fill it in later
• you can just ask it stuff, like "what's been draining me lately?"

Before I sink months into this, I'm curious:

• if you quit a mood tracker, what made you stop?
• would an app looking at your photos and voice notes creep you out?

Nothing to download yet, just trying to figure out if I'm the only one who wants this.

Hi guys! I am doing my thesis, and I have created a survey about CGM (continuous glucose monitoring) devices for sports use, focusing on the hardware and software design parameters that athletes actually need. If you are using any sort of wearable and living an active lifestyle, I would greatly appreciate it if you could fill out this survey. It should not take more than 5 minutes. Thank you!! Please find the survey here: https://docs.google.com/forms/d/e/1FAIpQLSdX1C7KDz-Ef8Gk6ATJjEDR0htbLDB5n72KwFRnt9rXIjij7A/viewform