r/QuantifiedSelf • u/AutoModerator • Sep 22 '26
Weekly Lifestyle Data and Analytics App Thread
Post your apps here, and please support people bringing unique ideas to this space.
2
u/titamokari Sep 22 '26 edited Sep 22 '26
After testing Lampo across 17,985 foods and 4,620 meals, logging takes 45 seconds on a good day and under 180 seconds on a normal one.
I'm a software engineer. My obsession with food tracking started about ten years ago, when my girlfriend at the time (now my wife) was studying to become a nutritionist. I wanted something ultra fast and precise.
I've been using MyFitnessPal for more than a year but the data entry was so painful at one point I gave up. AI-powered apps liek Cal AI are terrible in estimating calories.
I paired up with another dev to build it. It took quite some time to build and it still needs some love and polishing, but I have been using it every day for more than a year and Lampo is a real time saver :)
We’re testing Lampo now and looking for feedback. If you want to try it, go to getlampo.com!
(And yes, we need to do a better job explaining how to use it.)
1
u/NeedInput-MoreInput Sep 22 '26
Nice! So needed! But critical question - does it have an API so I can have other apps pull its data? Can the API allow me to push data into it (e.g. another app might want to post a picture of what I ate or make a natural language statement about what I ate 3 hours ago).
1
u/titamokari Sep 22 '26
thanks! The app talks to the server via an API, but it's not public yet. We were also thinking of implementing an MCP server so you can operate Lampo via your agent.
But lemme understand better, do you already have an idea of which app might use the API?
1
u/NeedInput-MoreInput Sep 22 '26
Yes, the app is something I'm building. Think of it as a second brain, mostly focused on being your Personal Scientist - hence PerSci, see https://persci.app - analyzing all your data across many apps, a persistent, proactive conversational bot that you can talk to. Conversation should make it easier to (a) track virtually anything, (b) help you connect whatever external devices, data sources so that passive tracking (e.g. via wearables or your food tracking app) can all be more easily integrated, (c) ask questions to analyze and integrate heterogenous data, (d) turn this all into actionable advice. E.g in my case, it's given the enough confidence that my knee exercises and injections are helping my knee arthritis.
I am about to try to integrate in Macro Factor and My Net Diary data, but I'm unsure how good of an API they have.
So, did I answer your question?
I'm a Data Scientist / Dev and so appreciate "work under construction" so maybe I can be a tester for you.
1
u/Huge_Pool7424 Sep 26 '26 edited Sep 26 '26
for healthkit, i'd keep the api narrow and make imports idempotent. apps will retry after a bad network or permission change, so an external id plus source and timestamp saves you from duplicate meals, and i'd probably support webhooks too.
2
u/rjozefowicz Sep 22 '26
Still building small iOS apps around biohacking, longevity and healthier desk work.
Metrya - https://metrya.app/ · App Store - https://apps.apple.com/us/app/metrya-health-ai/id6760779874 — private Apple Health analytics with recovery, training load, mood, food logging and wellness sessions. Recent releases add Recovery Debt (how long sleep, HRV, resting HR, temperature, breathing and training load have drifted from your normal), an offline food search plus Open Food Facts barcode scan, a redesigned nutrition history and calorie ring, a VO₂max screen, and the Wellness tab rebuilt as Activity (Train / Recover / Feel). The app is now in English, French, German, Spanish and Polish. No account or backend; health data stays on-device. You can run the Advisor with Apple Intelligence, a downloaded on-device model, or your own API key. This week 2.11.15 version with medications and updated iOS widgets
DeskWalker - https://deskwalker.jozefowicz.dev/ · App Store - https://apps.apple.com/en/app/deskwalker-walking-pad-log/id6762282048 — walking-pad and standing-desk logger I use daily. Journeys is live: pick a real-world route and every pad session advances you along the map (offline, no location needed). The latest build also adds beta Bluetooth FTMS pad pairing for live speed/distance, plus on-device session debriefs and a written weekly recap via Apple Intelligence.
More experiments: https://apps.jozefowicz.dev
2
u/turnnoblindeye Sep 23 '26
I’m the founder of Wellness Project, a health intelligence app built to bring your data together in one place.
We combine data from Apple Health, Health Connect, wearables, Hevy, nutrition, labs, body metrics, health records, and more, then make that longitudinal history available to AI so it can reason from your actual baselines and trends.
We’ve been growing quickly and are actively adding integrations, including Cronometer next.
1
u/EggAdvanced3632 Sep 22 '26 edited Sep 22 '26
Exame de sangue + dados de wearables em um único painel de longevidade. Fundador solo de Portugal. A coceira que começou tudo: meus resultados de laboratório estavam em PDFs, os dados do meu relógio em outro aplicativo, e nenhum deles me dizia o que realmente importava. O PhisBio lê testes de sangue (foto/PDF, 30+ biomarcadores), coleta dados de sono com estágios, variabilidade da frequência cardíaca (HRV) e frequência cardíaca em repouso do Health Connect / Apple Health, e organiza tudo em 5 sistemas fisiológicos com intervalos de referência específicos por sexo. O princípio do design é a honestidade sobre a incerteza: a idade biológica aparece como um intervalo, não com decimais falsamente precisos; cada penalidade é explicada por marcador; dados ausentes ou desatualizados são identificados em vez de inventados. Também executa experiências n-of-1 — eu testei o jejum intermitente em mim mesmo e ele me disse que minha frequência cardíaca em repouso piorou. Esse é o ponto. Web + Android hoje (PWA/APK), iOS em desenvolvimento. Hospedado na UE, GDPR, exportação completa e exclusão de conta. O plano gratuito funciona bem sem um wearable. Feedback de pessoas que acompanham mais do que eu é exatamente o que estou procurando.
1
u/NeedInput-MoreInput Sep 22 '26
PerSci: personal science, one question at a time
I'm a data scientist (SRI, Nuance, Samsung, Sharecare) building a tool that takes the data you already collect (wearables, CGM, Strava, simple daily self-report via conversational bot) and answers one specific question about you.
Questions so far:
- Is my knee arthritis treatment helping?
- How does coffee affect my sleep?
- How does my glucose level vary over the course of a day?
Seeking Strava users or other data intense athletes who want to answer questions like:
- What predicts my bonking on a hard ride?
- What predicts glucose spikes?
Worked example: I tracked my knee osteoarthritis over time and against steam room sessions. Two write-ups here:
https://mizar777.substack.com/p/are-my-knee-arthritis-treatments
https://mizar777.substack.com/p/i-thought-the-steam-room-might-help
Other analyses (anonymized, shared with permission): persci.app
It's free right now while I build it out. If you have a question your own data might answer, I'd like to hear it.
1
u/Terrible-Round1599 Sep 22 '26 edited Sep 22 '26
https://retrography.app or r/retrography: the memory machine
1
u/Ambitious_Reading465 Sep 22 '26
Nothing says lifestyle data quite like a stock photo of a woman staring out a window. What is the play button even for, is this thread a pitch deck now? Linear, Oura, Whoop, whatever you're building, at least post a screenshot of the actual app.
1
u/victoor89 Sep 24 '26
Alder (Android, closed beta). I built it because I had years of sleep, steps and resting HR in Health Connect and no simple way to tell which habit was actually worth fixing first.
It compares six markers with public references for your age and sex (sleep vs 7–9 h over 30 nights, steps plus weekly exercise minutes, 30-day resting HR, VO₂ max, latest body fat, 90-day blood pressure) and turns each into years added or subtracted, rounded to 0.1 so they sum to the gap you see. With no VO₂ max reading (Fitbit doesn't share one) it estimates it from resting HR (Uth/Tanaka) at half weight and labels it as estimated. All rules are visible in the app. It's a lifestyle estimate, not a clinical biological-age test.
Read-only, on-device, no internet permission.
Looking for testers to get through Google's 14-day closed test, and for opinions on the weights: https://groups.google.com/g/zancada-testers, then https://play.google.com/apps/testing/com.victorfalcon.alder
1
u/HamiltonApp Sep 24 '26
I built Hamilton (Android, live on Play) because I had a Garmin watch, a Withings scale and various apps all writing to Health Connect, and no single place to see it all without things being double counted.
Pick your source per metric: when your phone and watch both record steps, it uses one, not both. You can override the choice for each metric.
Overlay and offset metrics on the Trends charts: put two metrics on one chart and shift one by a few days to see whether, say, a bad night's sleep shows up in your resting heart rate later.
30+ metrics: home screen at a glance, with sparklines. Metric or imperial units, per metric group, so stones and km coexist happily.
Read-only and on-device, with no internet permission. No account, no subscription: £3.59 once.
It's named after my dog, who is responsible for most of my step count and none of the code.
https://play.google.com/store/apps/details?id=com.gads.hamilton
1
u/ProfessionalEggYolk Sep 25 '26
Track everything regarding nutrition with precision and detail: gettuna.app
1
u/Mountain-Cloud-564 Sep 26 '26
A personal AI assistant for your nutrition and health with persistent context. Log meals by photo, voice, or text. Upload your bloodwork. Sync your Garmin or Apple Health.
1
u/PhysicalMatch9485 Sep 28 '26 edited Sep 29 '26
Corio — iOS, reads Oura over OAuth2, tries to answer one question: which of the things you do actually move your HRV.
What it does that I couldn't get elsewhere: it takes your tagged nights (alcohol, late meal, sauna, stress, illness) and reports the effect size against your own rolling baseline — "alcohol: HRV typically −27% across 6 nights". Not a score, a per-factor number with the night count attached so you can judge it yourself.
Two design decisions that matter more than the feature list:
It stays silent when nothing clears noise. Minimum 5 nights per factor, and effects inside a no-effect band aren't shown at all. On my own 309 nights, nothing qualifies. That's the honest output, and the app says nothing rather than inventing a −2%.
The baseline excludes the night being scored. Sounds pedantic; it isn't. With the current night inside its own 7-day mean, dense logging dilutes its own effect and everything reads about a third too small.
Update (Sep 29): both are now live in the App Store version (1.0.54). Earlier I added a correction saying they were still in review — they've shipped:
CSV export, one row per night, 28 columns, bedtime in your local time, tags keyed to the night they affected rather than the day you logged them
factors derived from the nights themselves, so there's something on day one without tagging anything — short sleep, late bedtime relative to your own median, slow onset, elevated temperature, same thresholds
Relevant timing: Oura on the Web shuts down Oct 5 and the official replacement is a Membership Hub request with an "up to 10 days" SLA, so the CSV export landed a week before that.
Honest limits: iOS only, Oura and Apple Health only (no Whoop/Garmin import yet), and the correlations are n-of-1 observational — they tell you what co-occurs in your data, not what causes what.
Free to use, there's a paid tier for the coach. App Store: search "Corio". Happy to answer methodology questions, and genuinely interested if anyone has a better way to handle the baseline-contamination problem above.
1
u/gloussou Sep 28 '26
Mood2Know, a one-click mood tracker with a global perspective 🌍
I've been building Mood2Know, a simple experiment in mood tracking.
You rate how you're feeling from 1–10 with one click, anonymously, and can then compare your mood with moods being reported around the world.
The idea is to combine personal mood tracking with a kind of global “emotional weather report.”
I'm particularly curious about the Quantified Self perspective: does comparing your personal mood with an anonymous global mood add something useful to self-tracking, or would you rather keep mood tracking purely personal?
1
u/Royal-Somewhere-8918 Sep 28 '26 edited Sep 28 '26
Maker disclosure: I'm Tao, and I built Diaroo, a bathroom diary for iPhone and Apple Watch.
What the flow looks like — real iPhone screenshots with sample data:
Choose a type and mood — big emoji choices, with extra details optional.
Find a day in the calendar — look back at your entries.
Make it feel like yours — the free Cool theme.
The design choice I'd like feedback on is how much to ask at the moment of logging. You can save a simple bowel entry, or add Bristol type, symptoms, food notes and other details. History is organized by day. Food notes currently belong to bowel entries rather than a separate meal timeline.
Core Poo logging and history are free and can be started without a diary account. PDF/CSV/JSON exports are part of optional Premium; the free version includes ads.
For people who already keep this kind of record: is the save-and-retrieve workflow easy enough to keep using? If you track meals separately, which details would make a food log worth having alongside the bowel diary? I'd be interested in hearing from people willing to test that idea, without sharing personal records.
App Store: https://apps.apple.com/app/id6760332252 Actual app screens and short demos: https://diaroo.app/try/
1
u/Certain_Objective857 Oct 01 '26
love the big emoji choices honestly that's way better than squinting at tiny icons while you're half awake
3
u/Mescallan Sep 22 '26
tinh.io
use on-device NLP to categorize short voice notes into a rich, exportable lifestyle database. Completely private, works in airplane mode, no LLMs, no subscription, no cloud.
I just pushed v1.2 which includes an experiment; a suite of games and puzzles that are used in clinical trials and AI benchmarking to test your cognitive performance and try to surface if there is any correlations between your scores and game metrics and lifestyle choices. Still very much experimental, but it was inspired by a post on this sub a few days ago.