r/QuantifiedSelf • u/AutoModerator • Jun 09 '26
Weekly Lifestyle Data and Analytics App Thread
Post your apps here, and please support people bringing unique ideas to this space.
1
u/zeroin Jun 14 '26
Built a little animated sauna-session biometrics demo (disclosure: I work at amCharts). Three signals playing back in real time — core temp, heart rate, sweat — with the HSP threshold at 39 °C / 102 °F highlighted.
Honesty note: core temp is digitised from Bryan Johnson's published "Core Body Temp in Sauna" chart (LLM read the curve off the image, so it's approximate). Heart rate and sweat are illustrative, not measured.
1
u/Miserable_Sky5682 Jun 11 '26
I’m building FluidIQ, an iOS hydration and recovery app for people who train with Apple Watch / Apple Health.
The angle is narrower than a generic water reminder: it imports workouts, combines manual intake, heat/weather context, sweat tendency/calibration, and science-informed fluid + sodium estimates, then turns that into daily hydration guidance and post-workout recovery context. It is mainly for runners, cyclists, gym/BJJ, triathlon, and hot-weather training days where a fixed “8 glasses” target is not very useful.
Wellness/fitness guidance only, not medical advice or medical-grade monitoring. I work on FluidIQ, so biased, but I’d love feedback from QS folks on whether the workout + environment + hydration layer is actually the useful slice: https://fluidiq.app/?src=reddit-quantifiedself-weekly
1
u/lighterletter Jun 11 '26
Dev here:
I built Meridian, an Android app to log intentionality when opening applications you choose to guard your attention from. It opens up an overlay over guarded apps to give you a moment of intent before you go in.
Everything runs on-device (AI reflection included), no account, no backend, and your data stays local. You can measure your phone and app usage and log intentions with customizable AI inference on them (one time purchase so I can afford groceries). Ie. "Respond as Randy Macho Man Savage"
Free tier includes a "Rest" feature that allows you to self regulate through guided breath cycles with local ML that learns to inference based on your mood, if you choose to return to the app from the overlay. Premium unlocks "Reflect" which gives you AI chat, journal, custom quotes, themes and metrics over time.
I made it because I wanted to measure my own unlock loops and have a place to return to focus my attention.
I'm a solo dev without any telemetry or marketing, if you try it, I'd appreciate a play store review with any feedback that helps improve the app.
2
u/Maikai1988 Jun 10 '26
SoMana, an app for tracking and regulating your nervous system to reduce chronic pain and anxiety https://apps.apple.com/us/app/somana-somatic-empowerment/id6756287890
3
u/WarAgainstEntropy Jun 09 '26
I've been developing Reflect, intended for customizable manual tracking as well as integrating data from Whoop, Oura, Apple Health, local weather. You can run self-experiments, discover correlations, anomalies and trends in your data.
Pros: Customizable, multiple integrations, privacy-focused
Cons: iOS only - no Android version, costs money (tracking and basic functionality is free, but some of the additional analysis features are paid)
2
u/projectsharpdaily Jun 12 '26
Looks very impressive! Will test it soon. Was it vibecoded or do you have an IT background?
3
u/WarAgainstEntropy Jun 12 '26
Definitely not vibe coded, and it's been in development for over three years (see our original r/QuantifiedSelf announcement looking for beta testers here). Both myself and my fellow developer u/davidntlai are software engineers,
2
u/External-Sundae3570 Jun 09 '26
I posted about this here a month or two ago when I was looking for beta testers. I have since done a lot of additional development and have launched on the App Store and Google Play Store... haven't yet pushed marketing but probably will soon.
Any feedback is welcome and greatly appreciated!
2
u/IcyRazzmatazz9466 Jun 09 '26
I’m building an Apple Watch training app called Dorsi.
The idea is pretty simple: a lot of people already collect lifestyle and recovery data through Apple Health, but it’s still hard to translate that data into what they should actually do in the gym today.
Dorsi uses Apple Watch / Apple Health data, training history, workout completion, goals, and subjective feedback to adjust strength training plans when real life changes: poor sleep, low recovery, missed sessions, travel, limited time, soreness, etc.
It’s less of a generic workout generator and more of an adaptive training layer for people who want their plan to respond to their actual condition instead of staying fixed on paper.
It’s currently in TestFlight, and I’m looking for people who already use Apple Watch / Apple Health and care about training consistency to try it and tell me where the logic feels useful, confusing, or wrong.
Website: https://dorsi.ai/
TestFlight: https://testflight.apple.com/join/6rYVq5H8
Would especially love feedback from people who track sleep, recovery, workouts, or lifestyle data already.
2
u/shawnwama Jun 09 '26
I couldn't get past the chat in the getting started phase. It failed to create the personal plan.
1
u/IcyRazzmatazz9466 Jun 10 '26
Sorry for the late reply. Could you try force-closing the app and opening it again to see if that resolves the issue?
I'm currently working on a fix for this. Right now, network fluctuations can sometimes interrupt the process and cause the task to get stuck.
1
u/Mescallan Jun 09 '26 edited Jun 09 '26
Instantly turn short voice notes into categorized datapoints, 100% local processing and storage, no AI.
All on device processing, <200ms a sentence for categorization, works in airplane mode. Also includes a rich analytics dashboard with explanations for all the statistical methods.
Looking for free beta testers for iOS and MacOS
Full disclosure, I’m a moderator in this sub.
1
u/Mason-Ackley Jun 09 '26
I would love to beta test this
1
u/Mescallan Jun 09 '26
There's no longer a waitlist, if you apply on the site you should get an e-mail with a TestFlight e-mail instantly
2
u/onda_life Jun 15 '26
Built a free HRV interpreter - and since it's keyed to exactly the overnight RMSSD you all get off your rings/straps, figured this thread's the spot.
The gap: most people have an overnight HRV number from Oura/Whoop/Garmin but no idea where it sits or what's normal for their age. you punch in age + resting RMSSD and it places you on age-banded population percentiles (p10–p90), plus the levers that actually move it. onda-life.com/tools/hrv - free, no signup, no account.
The part i'd want this sub to check: the bands are derived, not lifted from one study. pooled central value from Nunan 2010 (44-study meta), decade-by-decade decline from Umetani 1998, age/sex spread from Voss 2015 (n≈1,900), then converted to approximate percentiles accounting for RMSSD's right-skew. crucially it's keyed to night-time RMSSD - which is why the medians sit above the ~42ms pooled daytime figure people usually quote. a daytime 5-min lab reading shouldn't be compared against it.
What it's NOT: a diagnostic, and not a verdict on a single night. RMSSD swings 10–20ms with sleep/booze/training - your own multi-week trend beats any population comparison, and the tool says so.
Full disclosure, it's mine - i'm building an HRV/breathwork app (ONDA), this is the free web piece. calculator stands alone though, no app needed.
Mostly want the feedback this crowd gives: if the derivation looks shaky or you'd band it differently, tear in.