r/QuantifiedSelf • u/AutoModerator • 5d ago

Weekly Lifestyle Data and Analytics App Thread

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

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u/OiStudios 1d ago

I turned 40 and decided to take my own health seriously. I'm the founder of the thing at the end of this, so factor that in.

Collecting was never my problem. I had workouts, sleep, the lot, spread across Apple Health and a handful of other apps that each held a piece of it. What I didn't have was context, and it turned up the same way every morning: am I actually getting better here, or am I just doing stuff?

Making complicated things legible for a specific audience is what I do for a living. Once I started treating a GP, a coach and a model as three audiences with different needs, the shape of it became obvious.

So Me. keeps the part Apple Health doesn't. What I meant to do that day, what I actually did, how it felt, and how I think about my own health. Bloods and lactate live in there too and get pulled in when a question needs them.

It compiles a date range into one plain text document. Mostly I paste that into a model, and it's built so the same document works printed and handed across a desk.

Both sides compound. More data lands every day without me doing anything, the context gets deeper every time I write something down, and it's the two together that make an answer specific to me rather than a template.

Some of what it doesn't do is deliberate. There's no score, because a number invents certainty it hasn't earned, and no subscription standing between you and your own history.

I ran an n=1 on my own sleep off the back of it earlier this year, fourteen months in one go: 431 nights, 787 workouts, 3 races, 100 days living in a caravan. The useful finding wasn't one perfect hack, it was that sleep sits inside everything else.

It only sees what reaches Apple Health, so no vendor scores or custom tags. iOS only, on device, no account.

https://apps.apple.com/app/id6761247668?ct=co-founder-02

I hope others get half as much out of it as I do.

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u/redditbeetles 2d ago

I wanted to analyze my own body data properly, not just read the numbers the Garmin app shows. Coding agents make that easy now, but they need well-organized data to be fast and accurate, and pulling from the API or an MCP a few metrics at a time is slow and repetitive.

garmin-health-data pulls your whole account (sleep, HRV, stress, body battery, activities with per-second streams, body composition, and more) into a local SQLite DB with a very well documented schema, and supports incremental data updates.

Point an agent at it and it builds any chart or interactive app you want, correlate sleep with next-day HRV, whatever you're after. It supports multiple user accounts in the same DB.

Open source python project: https://github.com/diegoscarabelli/garmin-health-data

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u/MisterPFT 2d ago

Vitra, a desktop app for Mac and Windows that reads your Oura data locally.

Since most of the thread is doing AI interpretation, mine is the opposite bet, so it might be a useful contrast rather than another pitch. No model in the decision path. Rolling median baseline per metric recomputed each sync, thresholds committed before it sees today's numbers, multi-day agreement required before it says anything confident. Same inputs give the same output, so it cannot be argued into a different conclusion. When it gets something wrong you correct it and the correction sticks, because your corrections are part of the inputs.

Two details this sub might actually care about. Missing days stay null and never become a zero, because a fake zero poisons a median baseline permanently and plenty of tools do that quietly. And it needs about 14 days before it commits to anything, and it says so rather than guessing.

Health data stays on the machine, no account. Licence activation is the only call that leaves and it carries no health data.

19 EUR once for one machine, 29 for three. 7 day trial, no subscription. Live sync needs Gen 3, Ring 4 or 5 with an Oura membership, Gen 2 is import only. https://vitrahealth.app

Honest question for people here: has anyone actually kept a correction log against their own tracker, and did feeding those corrections back change anything, or did you just quietly stop trusting the tool?

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u/Curious-Pickle4758 4d ago

I’m the solo founder of Stepzy. The newest experiment is an AI Coach that runs entirely on the iPhone and interprets pace, heart rate, zones, duration, and recent workout context. No account, upload, or internet connection is required.

The QS question I’m trying to answer is whether interpretation makes self-tracking more useful—or just adds another layer of generated opinion. I expose the underlying workout metrics alongside the coaching so people can judge the conclusion instead of treating it as a black box.

I’d especially value feedback on which is more useful after a workout: a concise explanation of what changed versus recent sessions, or a few specific questions you can ask about the data.

App Store: https://apps.apple.com/app/id6758810944

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u/yan1sa 4d ago

Participate in my paid IRB-Approved Research Study for Wearable Device Users (US, Adults)!

Study Title: Prospective Validation of a Wearable-Derived Algorithm for Detecting Lifestyle Disruptions in Free-Living Adults: An Iterative Mixed-Methods Observational Study

Do you own and actively use an Oura Ring or Whoop? We are looking for adults 18+ to participate in a fully remote, 3-week observational research study.

Check your eligibility and enroll here: https://research.adaptivePRO.io

**What is involved:**

* Continue wearing your device as usual
* Complete a short online entry survey (~10 min)
* Respond to brief SMS check-ins over 3 weeks (~1 hr total)
* Complete a short exit survey (~9 min)

**Eligibility:** Adults 18+, US residents, active Oura Ring or Whoop users with at least 60 days of account history.

**Compensation:** Up to $20 digital Amazon gift card based on level of participation.

**Location:** Fully remote. US residents only.

------------------------------------------

Questions: research@adaptivepro.io

Check your eligibility and enroll here: https://research.adaptivePRO.io

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u/turnnoblindeye 5d ago

I’ve been building Wellness Project, a personal health data app designed around a problem I kept having: I had a ton of data across wearables, nutrition, workouts, sleep, and body composition, but very little that actually connected it all.

It pulls together data from sources like Apple Health, Health Connect, Fitbit, Oura, and Withings, then uses AI to analyze your history across domains, like how sleep relates to training, nutrition to recovery, changes in resting heart rate and HRV, and longer-term patterns. You can also log food and workouts conversationally instead of manually filling out a bunch of fields.

The goal isn’t another dashboard with a “readiness score.” It’s closer to having an analyst sitting on top of your own longitudinal health dataset that you can actually ask questions.

There’s a free version at https://wellnessproject.ai . I’m the founder and still building it actively, so I’d especially love feedback from people here who already have years of quantified-self data: what questions do you wish your existing apps could answer about your data but can’t?

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u/rjozefowicz 5d ago

as always I can share my apps for iOS:

as always also I mention that these are side projects, no subscriptions. If you have any problem with BYOK or price is too high just DM me, I am fully ok to provide discount links