Supplement context

Supplement tracking should be boring, private and evidence-aware.

daygauge can compare supplement routine periods with sleep, training, labs and notes, but it should not recommend supplements or doses.

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Why people search this

Start with the signal your own data can support.

Supplement searches are huge because people want energy, cognition, hormones, sleep, strength and longevity shortcuts.

daygauge should not become a supplement coach. The useful product is a private experiment ledger: what changed, when, what else moved and what evidence applies.

Quick answer

daygauge can log creatine, omega-3, vitamin D, magnesium and multivitamin days beside training, sleep timing, labs and side-effect notes.

Search questions answered

What this page covers.

Can daygauge track creatine?
Can omega-3 affect cognition?
Should vitamin D be tied to labs?
Can magnesium improve sleep?
Can an app recommend supplements?

How daygauge would use this

From research context to product evidence.

Signal

daygauge can log creatine, omega-3, vitamin D, magnesium and multivitamin days beside training, sleep timing, labs and side-effect notes.The app should not give dosing, deficiency interpretation, fertility advice, hormone advice, treatment advice or cardiovascular prevention claims.

Confidence

Missing or sensitive data lowers confidence instead of creating false certainty.If the signal is not measured, explicitly imported or user-approved, daygauge should say so in the evidence.

Weekly review

Pro keeps the weekly baseline review: what changed, what moved with it, and whether the pattern repeated.This is where daygauge should beat a generic wearable dashboard: better explanation, clearer baselines and safer boundaries.

Example evidence

What a user should expect to see in the app.

Creatine logged on 5 training days; sleep and training context shown, no cognition claim applied.

Weekly review preview

Data used

daygauge can log creatine, omega-3, vitamin D, magnesium and multivitamin days beside training, sleep timing, labs and side-effect notes.

Confidence

Confidence rises when the same pattern repeats against your own baseline and drops when key signals are missing.

Next move

daygauge would suggest one small experiment, then watch whether the evidence repeats over the next week.

Boundary

Research context only. daygauge does not diagnose, treat, prevent or predict disease risk. Personal medical concerns belong with a qualified clinician.

Evidence 1

Creatine logged on 5 training days; sleep and training context shown, no cognition claim applied.

Evidence 2

Vitamin D timeline: supplement started after user-imported lab date; clinician interpretation required.

Evidence 3

Magnesium note: evening supplement logged; sleep change labelled low confidence until repeated.

Safety line

Research context only. daygauge does not diagnose, treat, prevent or predict disease risk. Personal medical concerns belong with a qualified clinician.

Research context

Sources daygauge can cite without overclaiming.

These sources are used as context for product wording and evidence labels. They should not be turned into personal disease-risk estimates.

Research context only. daygauge does not diagnose, treat, prevent or predict disease risk. Personal medical concerns belong with a qualified clinician.

Product boundaries

What daygauge should not claim.

No diagnosis, treatment, prevention or personal disease-risk prediction.
No hidden inference from sensitive data such as fertility, hormones, glucose, labs, cycle context or exposure tests.
No guilt language, food moralising, overtraining incentives or leaderboard use for sensitive topics.
No claim that a single habit caused a result. daygauge can show patterns, confidence and possible confounders.

Related daygauge guides.

Early access

Want supplement routines tracked like careful experiments?

Join the TestFlight waitlist and tell us which pattern you want daygauge to explain first.

iOS TestFlight first · paid app, one plan · evidence context, not medical advice