In development, join the waitlistJoin the waitlist

Health intelligence · iOS & Android · In development

Read yourselflive_

MyImmortality turns everything that goes into and onto your body into one live, modeled read of how you're running right now. Not a tracker. An analysis engine.

Join the waitlist How it works
vital_signal.liveSAMPLE
VITAL SIGNAL
70/100
updated 14 min agovs. your 30-day baseline −1
RECOVERY78FUEL64HYDRATION52RHYTHM81LOAD70MIND73
Now (modeled)Your baseline
Scroll

01 · Vital Signal

Six dimensions.
One live shape.

Vital Signal is a continuously updating score across six dimensions, drawn as a hexagon. It moves when you log, sync, sleep or train. Throughout the day, not once a week. The shape matters more than the number: when it pulls away from your own baseline, that's the pattern worth reading.

02 · Deep Read

Modeled,
not measured.

Deep Read is a modeled view of your current physiological state: estimated nutrient intake with honest confidence ranges, plus every active substance decaying on its own curve. Every number says estimated, and every estimate shows its range.

deep_read/nutrientsSAMPLE
0%50%100% ref. intake150%
Proteinmodeled intake ~112% (104–120%)High confidence
from meals
Magnesiummodeled intake ~68% (54–82%)Medium confidence
from meals + supplement
Potassiummodeled intake ~57% (45–70%)Medium confidence
from meals
Ironmodeled intake ~96% (80–110%)Medium confidence
from meals + lab
Vitamin Dmodeled intake ~41% (22–63%)Low confidence
from no recent lab
Omega-3modeled intake ~74% (50–96%)Low confidence
from meals

Ranges come from what you logged, what synced, and how complete it is. Import a blood panel and the model re-estimates with more to work with. Estimates are not lab results.

deep_read/active_loadSAMPLE
Caffeine · 2 sample dosesNicotine pouch · 3 sample dosesProjected
6a9a12p3p6p9p12aBEDNOW
MODELED CAFFEINE AT BEDTIME~33%of today's modeled peak · sample
METHOD

Published population-average half-lives as the starting point, then your own logged pattern. Shown as a curve, never a verdict.

03 · Signals

Wearables are inputs.
The read is the product.

Your watch, ring and scale already collect plenty. MyImmortality pulls those signals in alongside what you eat, take and do, then synthesizes them into one model of you.

WEARABLES

Apple Health & Health Connect

Sleep, heart rate, HRV, steps and workouts sync from Apple HealthKit on iPhone and Google Health Connect on Android.

SleepHRVResting HRWorkouts
LABS

Blood panels

Import a lab PDF. Markers are extracted, dated and trended over the years.

SCANS

DEXA & body scans

PDF or a photo of the printout. AI vision reads the report into structured data.

INTAKE

Nutrition, supplements & meds

Imports plus manual entry. Your stack, as it actually is.

TRAINING

Workouts & strain

Lifts, endurance and recovery load.

SUBSTANCES

Caffeine · nicotine · alcohol · cannabis

Logged in three taps, modeled as active load with half-life decay.

SELF-REPORT

Hydration · mood · symptoms

The context sensors miss: how you feel, what you drank, what hurts. One tap each.

04 · Three taps to log

Logging speed
is a feature.

If it takes longer than the thing you're logging, you won't log it. Every entry, including a pouch, a coffee or a drink, lands in three taps or fewer.

9:41
Log
+

Tap the log button anywhere

1Open log
9:41
Recent
Nicotine pouchCoffeeWaterCreatineBeerMood

Your usuals, sorted by time of day

2Pick the item
9:41
Nicotine pouch
3 mg6 mg9 mg
✓ Logged · Vital Signal updating
3Confirm dose

05 · Radical privacy

See every byte
before it leaves.

The AI layer gets anonymized aggregates only: ranges and totals, not your name, not your raw logs, not your files. Before any request leaves your phone you can open it, read it, and decide.

  • No name, email or device ID in AI requests
  • Aggregates and ranges, not raw entries
  • A preview of every payload, on demand
  • You decide what syncs, and can delete it
payload_preview.jsonEXAMPLE
// outbound request · review before sending
{
  "window": "last_24h",
  "age_band": "40-49",
  "sleep_h": "6.5-7.0",
  "hrv_vs_baseline": "-8% to -12%",
  "caffeine_mg": "200-300",
  "nicotine_doses": 3,
  "protein_vs_ref": "105-120%",
  "name": — not included —,
  "raw_logs": — not included —
}
SendDon't send412 bytes · anonymized

06 · How it works

From raw logs
to modeled you.

  1. 01

    Connect

    Link Apple Health or Health Connect. Import labs and scans when you have them.

  2. 02

    Log

    Meals, stack, substances, hydration, mood. Three taps each.

  3. 03

    Model

    The synthesis layer turns everything into a modeled state, with a confidence range on every estimate.

  4. 04

    Read

    Vital Signal and Deep Read update live, with patterns and educational context about what's moving and why.

07 · Waitlist

Be first to read yourself live.

MyImmortality is in development for iOS and Android. Join the list for early access and build notes.

We store your email and how you found us (campaign tags, referring page, and referral code). No spam, no selling your data. Unsubscribe anytime. See our Privacy Policy.

08 · FAQ

Short
answers.

Educational, not prescriptive. That's the whole stance.

Is this medical advice?

No. MyImmortality is an educational tool. It shows modeled estimates and patterns to help you understand your own data. It doesn't diagnose anything, and it isn't a substitute for a qualified professional.

What does "modeled" mean?

Most numbers in the app are estimates calculated from what you log and sync, not lab measurements. That's why each one carries a confidence range and is labeled modeled or estimated.

Do I need a wearable?

No. Wearables add signal, but manual logs, labs and scans work on their own.

What data goes to the AI?

Anonymized aggregates only, and you can preview every request before it's sent.

When can I get it?

It's in development for iOS and Android. Join the waitlist and we'll let you know.