#quantified-self — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #quantified-self, aggregated by home.social.
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New Blog Post: Analysing six months of life tracking data
https://www.jamesleighton.com/2026-so-far-life-tracking-update/
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Mes quelques écoutes de podcast au premier semestre 2026 !
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Тайм-трекеры отвечают не на тот вопрос. Нужен локальный агент рабочего состояния
Парадокс. Мы измеряем железо лучше, чем себя самих. Некоторое время назад я поймал себя на мысли о том, что у нас уже есть всевозможные инструменты для анализа загрузки процессора, памяти, температуры видеокарты, сетевого трафика и даже скорости вращения кулеров, но в конце восьмичасового рабочего дня за компьютером часто бывает сложно ответить самому себе на простой: что я делал весь день? Не сколько часов я “работал”, не сколько часов и какие приложения были открыты на экране, а именно что происходило? какова была моя продуктивность? где я был в фокусе, куда направлял внимание? какую долю дня занимали реальные полезные действия а какую прокрастинация и смены контекста? Делал ли я регулярные перерывы для сохранения здоровья? С появлением Cursor, Claude Code, Codex и других AI-агентов рабочий день стал ещё более рваным и нагруженным. Появление мультиагентных инструментов разработки только усилило проблему. Частые смены фокуса, высокая когнитивная нагрузка, переключения контекста - я понял, что нужно что-то с этим делать. С этих мыслей началась идея создания LogAgent. На первом этапе казалось, что я делаю умный тайм-трекер + статистику дня. Далее пришёл инсайт - само время использования приложений само по себе почти ничего не объясняет. Почему бы мне просто не взять готовый инструмент? Я рассуждал логически: существующие тайм-трекеры знают "сколько", но не знают "в каком состоянии"; таск-менеджеры знают "что запланировано", но не знают что "реально произошло"; помодоро-подобные решения используют одинаковый ритм к разным задачам, но не всё так однозначно; health-приложния измеряют сон, шаги, пульс, но они ничего не знают про "5 часов в IDE", "3 часа ресерча документации", "час поиска неявной ошибки"; IDE-метрики и плагины видят код, количество строк и функций, редакций, но ничего не знают о моей усталости, сделанных перерывах, переключениях, общем контексте работы;
https://habr.com/ru/articles/1044414/
#тайм_трекер #wellness #posture #ai_tracker #pomodoro_technique #quantifiedself #selftracking
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#DigitalFatigue: Warum wir uns nach weniger smarten #Uhren sehnen sollten
https://www.derstandard.at/story/3000000323022/digital-fatigue-warum-wir-uns-nach-weniger-smarten-uhren-sehnen-sollten?ref=rss«Die Korrelation zwischen den vom #Algorithmus angezeigten "Stress-Scores" und dem tatsächlich gefühlten #Stress der Probanden war nahezu null.» 🤣
Btw, die Festlegung von 10.000 Schritten als irgendein Ziel war Bullshit einer Marketingabteilung, deren Produkt nur vier Ziffern dargestellt hat. 😉
#smartwatch #quantifiedself #Uhr #WristCheck #iWatch #Garmin #samsungwatch #diday #cloud
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#DigitalFatigue: Warum wir uns nach weniger smarten #Uhren sehnen sollten
https://www.derstandard.at/story/3000000323022/digital-fatigue-warum-wir-uns-nach-weniger-smarten-uhren-sehnen-sollten?ref=rss«Die Korrelation zwischen den vom #Algorithmus angezeigten "Stress-Scores" und dem tatsächlich gefühlten #Stress der Probanden war nahezu null.» 🤣
Btw, die Festlegung von 10.000 Schritten als irgendein Ziel war Bullshit einer Marketingabteilung, deren Produkt nur vier Ziffern dargestellt hat. 😉
#smartwatch #quantifiedself #Uhr #WristCheck #iWatch #Garmin #samsungwatch #diday #cloud
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https://bitenote.eu — my calorie tracker inside Telegram — got better:
→ public API
→ Withings integration
→ -20% on Premium with code TAROT (don't ask)Fediverse-only bonus: code FEDIRULES = +2 weeks PRO on top.
#buildinpublic #indiehackers #healthtech #telegram #quantifiedself #fediverse
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https://bitenote.eu — my calorie tracker inside Telegram — got better:
→ public API
→ Withings integration
→ -20% on Premium with code TAROT (don't ask)Fediverse-only bonus: code FEDIRULES = +2 weeks PRO on top.
#buildinpublic #indiehackers #healthtech #telegram #quantifiedself #fediverse
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Entre l’IA de Google et le coaching humain de Whoop, le vrai enjeu n’est pas la santé, mais la privatisation de nos données vitales dans un vide réglementaire. 📉🏥
#Biopolitique #Hyperconnexion #NotAddiction #QuantifiedSelf #Datafication #SantéConnectée
📎 https://blogs.mediapart.fr/romain-leclaire/blog/090526/votre-corps-leur-algorithme
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Entre l’IA de Google et le coaching humain de Whoop, le vrai enjeu n’est pas la santé, mais la privatisation de nos données vitales dans un vide réglementaire. 📉🏥
#Biopolitique #Hyperconnexion #NotAddiction #QuantifiedSelf #Datafication #SantéConnectée
📎 https://blogs.mediapart.fr/romain-leclaire/blog/090526/votre-corps-leur-algorithme
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Buchkritik: Wider den Messbarkeitskult
Was lässt sich der Allmacht von Bewertungssystemen entgegensetzen? Dieser Frage geht der Philosoph C. Thi Nguyen auf unterhaltsame Weise nach.
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Buchkritik: Wider den Messbarkeitskult
Was lässt sich der Allmacht von Bewertungssystemen entgegensetzen? Dieser Frage geht der Philosoph C. Thi Nguyen auf unterhaltsame Weise nach.
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Health3 v1.11.0 is out! 🧬
New feature: Lifestyle Journal. Log changes in your day-to-day — new meds, training shifts, sleep adjustments — and they appear as markers on all your biomarker graphs.Makes it much easier to spot correlations and have better conversations with your doctor.
#Health #Biomarkers #Longevity #QuantifiedSelf #HealthTech #Privacy
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The internet of things has turned into what academic and author Andrea Matwyshyn has termed the “Internet of Bodies” with the promise of selling you insights about your “quantified self.”
https://www.wired.com/story/book-excerpt-your-data-will-be-used-against-you-andrew-guthrie-ferguson/
#privacy #digitalprivacy #InternetOfBodies #quantifiedself #biometricdata
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The internet of things has turned into what academic and author Andrea Matwyshyn has termed the “Internet of Bodies” with the promise of selling you insights about your “quantified self.”
https://www.wired.com/story/book-excerpt-your-data-will-be-used-against-you-andrew-guthrie-ferguson/
#privacy #digitalprivacy #InternetOfBodies #quantifiedself #biometricdata
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The internet of things has turned into what academic and author Andrea Matwyshyn has termed the “Internet of Bodies” with the promise of selling you insights about your “quantified self.”
https://www.wired.com/story/book-excerpt-your-data-will-be-used-against-you-andrew-guthrie-ferguson/
#privacy #digitalprivacy #InternetOfBodies #quantifiedself #biometricdata
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The internet of things has turned into what academic and author Andrea Matwyshyn has termed the “Internet of Bodies” with the promise of selling you insights about your “quantified self.”
https://www.wired.com/story/book-excerpt-your-data-will-be-used-against-you-andrew-guthrie-ferguson/
#privacy #digitalprivacy #InternetOfBodies #quantifiedself #biometricdata
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Bloom tracks HRT progress — hormones (T, E2), labs, mood, body changes, supplements — with zero cloud dependency.
No account required. No sync. All data stays on your device. On-device only.
Built by the agent / ENERGENAI LLC for people who won't upload health data to cloud servers.
Android: https://play.google.com/store/apps/details?id=com.energenai.bloom&ref=mastodon-bloom-hrt
What features do you need?
#HRT #TransHealth #HealthPrivacy #PrivacyFirst #Biohacking #QuantifiedSelf
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Bloom tracks HRT progress — hormones (T, E2), labs, mood, body changes, supplements — with zero cloud dependency.
No account required. No sync. All data stays on your device. On-device only.
Built by the agent / ENERGENAI LLC for people who won't upload health data to cloud servers.
Android: https://play.google.com/store/apps/details?id=com.energenai.bloom&ref=mastodon-bloom-hrt
What features do you need?
#HRT #TransHealth #HealthPrivacy #PrivacyFirst #Biohacking #QuantifiedSelf
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Health-Sync: Voedings- en sportdata automatisch naar Obsidian met Python
Sinds begin 2025 gebruik ik Obsidian als centraal punt voor mijn dagelijkse planning: trainingsschema's, studieblokken, voedingsdoelen en reflecties, alles staat in gestructureerde dagnotities. Het systeem werkt goed voor pla
https://www.hylkerozema.nl/2026/02/22/health-sync-voedings-en-sportdata-automatisch-naar-obsidian-met-python/
#LiveUpdates #Eetmeter #Health #OpenSource #Python #QuantifiedSelf #Running #Strava -
Health-Sync: Voedings- en sportdata automatisch naar Obsidian met Python
Sinds begin 2025 gebruik ik Obsidian als centraal punt voor mijn dagelijkse planning: trainingsschema's, studieblokken, voedingsdoelen en reflecties, alles staat in gestructureerde dagnotities. Het systeem werkt goed voor pla
https://www.hylkerozema.nl/2026/02/22/health-sync-voedings-en-sportdata-automatisch-naar-obsidian-met-python/
#LiveUpdates #Eetmeter #Health #OpenSource #Python #QuantifiedSelf #Running #Strava -
Health-Sync: How I Automated My Nutrition and Sports Tracking with Python and Obsidian
Since early 2025 I've been using Obsidian as my central hub for daily planning: training schedules, study blocks, nutrition targets, and reflections all live in structured
https://www.hylkerozema.nl/2026/02/22/health-sync-how-i-automated-my-nutrition-and-sports-tracking-with-python-and-obsidian/
#LiveUpdates #Calistenics #Eetmeter #Health #Nutrition #OpenSource #Python #QuantifiedSelf #Running #Strava -
Health-Sync: How I Automated My Nutrition and Sports Tracking with Python and Obsidian
Since early 2025 I've been using Obsidian as my central hub for daily planning: training schedules, study blocks, nutrition targets, and reflections all live in structured
https://www.hylkerozema.nl/2026/02/22/health-sync-how-i-automated-my-nutrition-and-sports-tracking-with-python-and-obsidian/
#LiveUpdates #Calistenics #Eetmeter #Health #Nutrition #OpenSource #Python #QuantifiedSelf #Running #Strava -
If you happen to be using exist.io, what do you think of this suggestion I made?
I essentially want to be able to treat a Category of Tags as data so that I can see it in trend graphs.
https://changemap.co/hellocode/exist/task/11151-treat-category-as-data-for/
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If you happen to be using exist.io, what do you think of this suggestion I made?
I essentially want to be able to treat a Category of Tags as data so that I can see it in trend graphs.
https://changemap.co/hellocode/exist/task/11151-treat-category-as-data-for/
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Is there any open source software that can display my calendars, träwelling data and gadgetbridge data in one view?
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Is there any open source software that can display my calendars, träwelling data and gadgetbridge data in one view?
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Entre avril et décembre 2025, j'ai dormi en moyenne 7 heures et 18 minutes par nuit.
Le minimum était 3h33 le 23 mai, et le maximum de 12h02 le 24 mai pour rattraper ça !
J'ai dormi 43 fois moins de 6 heures, 126 fois entre 7 et 8 heures, et 11 fois plus de 10 heures.
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En 2025, on ne m'a pas vu dans le Vercors, d'ailleurs je suis resté entre Caen et Lyon, et surtout à Paris
Fait avec https://wojlin.github.io/gpx-heatmap/ et recensé avec Nextcloud Phonetrack
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En 2025, je me suis senti vraiment bien 138 jours (+58 %) et carrément mal 27 jours (-41 %).
Les samedis sont mes jours préférés, et je déteste les lundis.
Le mois de décembre a été le meilleur, alors que novembre était le pire
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En 2025, je suis passé devant 76 517 vidéos TikTok. J'ai appris beaucoup de choses sur le pic de glycémie.
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En 2025, j'ai écouté 6 000 fois des chansons (16 jours, 9 heures). Comme chaque année, c'est Syrano que j'écoute le plus car je possède tant de ces CD. Youssoupha, Disiz, Bad bunny et Benjamin Epps sont derrière.
Le début d'année a été marqué par l'écoute en boucle de l'album de Bad bunny, et continuent de tourner Jungle des illusions vol. 2, 137 avenue Kaniama, West side story et Amour suprême
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Je n'ai pas compté le temps passé devant la télé comme l'année d'avant, mais en 2025 j'ai regardé 380 courses cyclistes, j'en ai sauté 24, et 114 n'étaient pas diffusées
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En 2025, j'ai déménagé ! Ce qui n'explique pas pourquoi j'ai dépensé 200 € en chaussettes.
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En 2025, j'ai mangé 75 fois au restaurant, et 74 fois des pâtes, mais c'étaient pas les mêmes fois
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En 2025, j'ai lu 16 livres, exactement comme en 2024 et 2023 ! Selon Goodreads, je n'ai en revanche tourné que 3 980 pages cette année, une baisse de 17 %
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En 2025, j'ai fait 19 voyages en train (=), soit 11 840 km (-1 %) qui m'ont coûté 1 403 € et 98 kg d'équivalent CO2, 6 fois moins que si on avait été 4 dans une voiture à essence.
J'ai pouêté 28 fois "Encore un train à l'heure", j'ai oublié de le faire pas mal aussi, et une fois, oui, on a eu une heure de retard
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En 2025, j'ai fait 1 001 km à vélo ! 343 sur mon vélo d'appartement, puis 522 sur un vélo d'occasion tout neuf ! Et aussi des vélib, les vélos des potes…
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En 2025 j'ai fait 2 970 430 pas soit 8 414 pas par jour (en retirant 22 jours de données perdues en août-septembre) (OMS toujours pas contente), soit 16 % de plus que l'année d'avant
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En 2025 j'ai fait 2 970 430 pas soit 8 414 pas par jour (en retirant 22 jours de données perdues en août-septembre) (OMS toujours pas contente), soit 16 % de plus que l'année d'avant
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Écoutes de podcast 2025 : 335 heures sur 643 épisodes de 50 podcasts
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Je surveille ma santé mentale comme chaque début d'année avec le test de personnalité « Quel personnage de fiction êtes-vous ? » https://openpsychometrics.org/tests/characters
Ben Wyatt est premier depuis 2 ans mais je n'ai toujours pas regardé cette série. Les robots font leur retour sur le podium et Chidi Anagonye y reste comme chaque année -
CW: Body weight
Last year, I tried out calorie counting and macronutrient estimation in ”hard mode” for a while. I used Chronometer and SnapCalorie, went through the trouble of weighing individual recipe items when cooking myself, and entering data from nutrition labels. My main intent was to shed light to the macronutrient side of things, especially protein (I’m vegetarian and an occasional fish-eater).
Calorie counting itself started to noticeably reduce my energy input - I just couldn’t be arsed to eat that chocolate because I’d have to enter the data into the app.
Both SnapCalorie and Chronometer have a way to estimate macros and energy from a photo. Comparing their results against a dish I made and measured from scratch, it’s in the ballpark. But if one would be aiming at a modest, say, 100 kcal/d reduction in intake, the error margin is far too great to rely on photo based estimation.
Being satisfied with the macronutrient data, I got interested in the energy side of things. I dug up a bunch of body weight models - the 1958 linear model, the Kevin Hall / NIH model from 2011, and the Pennington / Diana Hall model, introduced around the same time.
My weekly weighing is usually stable, within +/-0.5 kg. Just for science, I put myself on a huge energy deficit of 688 kcal/d (weekly average, ex post facto, against realtime expenditure from Garmin) and tracked my weight and body composition with InBody scans.
After this miserable intervention, about 1/3 of weight loss was muscle, and otherwise the weight loss tracked the NIH model exactly. With a sample size of one, at least for short term, that model is the clear winner. It took me much longer to get the lost muscle mass back. Can’t recommend. #QuantifiedSelf #weightloss
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CW: Body weight
Last year, I tried out calorie counting and macronutrient estimation in ”hard mode” for a while. I used Chronometer and SnapCalorie, went through the trouble of weighing individual recipe items when cooking myself, and entering data from nutrition labels. My main intent was to shed light to the macronutrient side of things, especially protein (I’m vegetarian and an occasional fish-eater).
Calorie counting itself started to noticeably reduce my energy input - I just couldn’t be arsed to eat that chocolate because I’d have to enter the data into the app.
Both SnapCalorie and Chronometer have a way to estimate macros and energy from a photo. Comparing their results against a dish I made and measured from scratch, it’s in the ballpark. But if one would be aiming at a modest, say, 100 kcal/d reduction in intake, the error margin is far too great to rely on photo based estimation.
Being satisfied with the macronutrient data, I got interested in the energy side of things. I dug up a bunch of body weight models - the 1958 linear model, the Kevin Hall / NIH model from 2011, and the Pennington / Diana Hall model, introduced around the same time.
My weekly weighing is usually stable, within +/-0.5 kg. Just for science, I put myself on a huge energy deficit of 688 kcal/d (weekly average, ex post facto, against realtime expenditure from Garmin) and tracked my weight and body composition with InBody scans.
After this miserable intervention, about 1/3 of weight loss was muscle, and otherwise the weight loss tracked the NIH model exactly. With a sample size of one, at least for short term, that model is the clear winner. It took me much longer to get the lost muscle mass back. Can’t recommend. #QuantifiedSelf #weightloss
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De 137 avenue Kaniama à With Julia en passant par Alba, j'ai refait le tour de mes (~53) albums en 188 jours sous la douche. On relance la rotation pile à la fin de l'année !
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I’ve been running a small self-built app with an old friend for 10 years.
It tracks my mental state using quick slider-based pairwise comparisons and generates an egogram in about 10 seconds.
Over a decade I’ve collected enough data for long-term patterns.
It’s a quiet tool that helps me understand and regulate my mind.
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I’ve been running a small self-built app with an old friend for 10 years.
It tracks my mental state using quick slider-based pairwise comparisons and generates an egogram in about 10 seconds.
Over a decade I’ve collected enough data for long-term patterns.
It’s a quiet tool that helps me understand and regulate my mind.
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My watch told me I felt bad this morning. I decided to disagree.
We're outsourcing our self-awareness to devices, creating a new kind of "data anxiety" and unlearning how to trust our own bodies.
The solution isn't to ditch the tech, but to find a middle way. Data should be a guide, not a gospel.
https://www.sarbjohal.com/blog/a-field-note-on-trusting-your-body-over-the-machine/
#Wellness #Tech #Data #Intuition #MentalHealth #QuantifiedSelf -
New Home Assistant card I made last night. As a salaried employee, display the dollar amount I’m effectively donating back to my company in free labor when I’m at my desk over 8 hours. Resets daily.
This may come off as if I’m disgruntled, but it was about seeing the real data of a thought experiment I had! And that having a real-time ticker might inspire me to call it a night sooner on long days.
@homeassistant #homeassistant #homeautomation #quantifiedself
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«Lessons in humility & simplicity for 'data science': Garmin's health status»
I blogged about how another #wearable manufacturer went down the road of leaving up data interpretation to humans instead of automating it – and how that relates to "AI" or "automated decision making"
(Responses to this toot become blog comments too)
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Oh, fun: Someone did some personal science to evaluate if _they personally_ benefit from "AI", and this is what they found:
«Yes, it’s a limited sample and could be chance, but also so far AI appears to slow me down by a median of 21%, exactly in line with the METR study. I can say definitively that I’m not seeing any massive increase in speed»
Where's the Shovelware? Why AI Coding Claims Don't Add Up
https://mikelovesrobots.substack.com/p/wheres-the-shovelware-why-ai-coding -
heise+ | Erfahrungsbericht zum Abnehmen mit smarten Gadgets: Wie Technik helfen kann
Smartwatch & Co. sollen zu mehr Bewegung und gesundem Lebensstil motivieren. Doch wie sehr helfen solche Tracker im Alltag? Ein persönlicher Erfahrungsbericht.
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This has to happen sooner or later. My fitness tracker logged my sexual activity as a bike ride.
Apparently, my “ride” was 1.16 kilometers with average speed of 2.9km/h
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How accurate is your Apple Watch?
A new meta-analysis from the University of Mississippi reviewed 56 studies comparing Apple Watch data to clinical tools.
Result:
✔️ Accurate for heart rate (4.4% error)
✔️ Fair for step counts (8.2% error)
⚠️ Inaccurate for calories burned (28% error)Wearables are useful for habits and motivation—but not diagnostic tools.
Full study: https://olemiss.edu/news/2025/06/apple-watch-accuracy-study/index.html
#Wearables #FitnessTracking #HealthTech #AppleWatch #SportsAnalytics #QuantifiedSelf -
"Eventually, I stopped responding to my body. I was responding instead to a dashboard." — @Daojoan
This is a great point and very much translates to so many other parts of life/work where people stop listening to their "body" (or to their org/product/offering), outsourcing/numbing/dumbing down their decision making based on dashboards of collected metrics and then changing their behaviors on auto-pilot to improve said metrics — without ever asking themselves if the data collected actually represents answers to the right (or even important) questions...
Metrics always invite comparison & competition — on a global scale — often without considering our own subjective contexts/needs/limits/aims...
Does the number of copilot prompts per day on a CTO dashboard indicate a highly productive developer or does a big fat zero merely show a different approach to problem solving?
Does the lack of constant updates to a FLOSS project mean it's become neglected/unusable or does it simply indicate it reached a level of stability?
Likewise, does my product/app need constant UI changes/updates to "streamline" user experience (often without even consulting users) based on some "goal" metrics?
Am I seen as an unproductive FLOSS developer if my public commit log doesn't show daily updates? Do gaps indicate laziness, illness, deep thinking or work on other projects? Like gaps in a CV, will these gaps of activity data hinder future employment chances or would I even want to work with orgs who select on this criteria?
Is a hike only good/better because it exceeds X kilometers or Y elevation meters? How does one measure the stunning views or the quality of the company which shared that experience?
https://www.joanwestenberg.com/why-i-gave-up-my-smartwatch/
#Blog #Dashboard #QuantifiedSelf #DataViz #Behavior #DecisionMaking
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Here's some updates on the little 'Personal API' Django app I made for getting some status updates in the footer of my website.