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Zach Yadegari

Founders / operators · Founder/Entrepreneur · milestone at age 17 ·T1 Global icon
Milestone (age 17)
Co-founded Cal AI after selling an earlier app
Began coding at seven, built and sold Totally Science as a teenager, then used fitness pain and influencer distribution for Cal AI.
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Starting point

Young entrepreneur who sold an earlier app before co-founding Cal AI, a calorie tracking app powered by AI.

Current position (2025)

Co-founder of Cal AI; based in the United States.

How this path compounded
01 Starting advantages

7/24 starting-position score

Strongest documented signals: Exceptional peer / cofounder, Early online platform, Direct domain exposure.

Describes the starting position, not what the person later made of it.

Cohort percentile: 59
02 Built or converted leverage

19/25 multiplying-capacity score

Strongest observed levers:Complementary team, Capital safety, Domain proximity.

Measures what was present, not whether it was inherited, earned, self-built, external, or mixed.

Cohort percentile: 100
03 Compounding trajectory

4 documented steps

The timeline below shows the sequence of work and transitions around the selected early milestone. It is evidence of a path, not proof that every step was necessary.

Milestone at age 17
04 Observed career standing

T1 · Global icon

Legendary or globally iconic career standing. The tier summarizes documented career recognition through the data cutoff—not Zach Yadegari's worth or future potential.

Question four · where did the leverage come from?

Zach Yadegari's leverage provenance

Each non-zero lever gets a best-supported origin, evidence signals, and confidence. Unresolved is the honest default when the biography cannot distinguish self-built, advantage-enabled, earned, external, or mixed.

Started serious reps before 201/1
Mixedmedium confidence

Mapped starting advantages and self-directed-building language are both documented.

Rare early tools (1/2)Early online platform (2/2)
Complementary team2/2
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Exceptional peer / cofounder (2/2)Early online platform (2/2)
Capital safety2/2
Unresolvedlow confidence

No current annotation distinguishes self-built, enabled, or earned origins for this lever.

No decisive linked signal
Domain proximity2/2
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Direct domain exposure (2/2)
Prior reps2/3
Mixedmedium confidence

Mapped starting advantages and self-directed-building language are both documented.

Rare early tools (1/2)Early online platform (2/2)
Scarce skill depth2/3
Mixedmedium confidence

Mapped starting advantages and self-directed-building language are both documented.

Rare early tools (1/2)Early online platform (2/2)
Native distribution2/3
Mixedmedium confidence

Mapped starting advantages and self-directed-building language are both documented.

Early online platform (2/2)
Elite ecosystem network2/3
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Exceptional peer / cofounder (2/2)
Structural wave / timing2/3
Externalmedium confidence

A structural wave is external to the person, even when their position improved access to it.

Early online platform (2/2)
Concentration intensity2/3
Self-builtlow confidence

The biography uses self-directed-building language, but the origin was not independently annotated.

No decisive linked signal

This is a bounded inference from the current annotations—not a claim about private effort, merit, or the percentage of Zach Yadegari's outcome attributable to any origin.

Luck is not a leftover score.

Structural luck, Encounter luck, Event luck, Outcome variance can change every arrow in the path. This successful-only dataset cannot observe the near-identical paths that did not break through, so luck stays visible and unscored.

Within Founders / operators, Zach Yadegari's starting-advantage total is at the 59th percentile. Separately, their built or converted leverage total is at the 100th percentile. Other T1 profiles average 8.9 / 24 starting advantage and 13.6 / 25 leverage. Similar scores appear in other tiers, so these figures describe positioning—not a cause.
Trajectory
  1. 2022 · age 17
    Sold earlier app
    Sold an earlier mobile app before co-founding Cal AI.
  2. 2023 · age 18
    Co-founded Cal AI
    Co-founded Cal AI, an AI-powered calorie tracking app that gained rapid user adoption.
  3. 2024 · age 19
    Cal AI rapid growth
    Cal AI gained rapid user adoption and revenue growth in the health and fitness app market.
  4. 2025 · age 20
    Continued scaling Cal AI
    Continued scaling Cal AI as a leading AI-powered nutrition tracking platform.
Primary leverage engine
Prior reps
Early specialization / prior reps
Secondary engine
Distribution + timing
Built/converted leverage
19 / 25
evidence: Medium
Built or converted leverage

Multiplying capacity documented later in the path. Measures what was present, not whether it was inherited, earned, self-built, external, or mixed.

Started serious reps before 20
1/1
Prior reps
2/3
Scarce skill depth
2/3
Native distribution
2/3
Elite ecosystem network
2/3
Complementary team
2/2
Structural wave / timing
2/3
Concentration intensity
2/3
Capital safety
2/2
Domain proximity
2/2
Starting-advantage scores (0–2 each)

Access or conditions documented near the beginning of the path. Zero means "no clear evidence in reviewed sources," not "advantage was absent."

Family financial platform
0/2
Parent / family domain
0/2
Inherited audience / network
0/2
Elite institution pipeline
0/2
Frontier geography
0/2
Rare early tools
1/2
Dedicated mentor / coach
0/2
Exceptional peer / cofounder
2/2
Early online platform
2/2
Direct domain exposure
2/2
Prodigy / innate ability
0/2
Adversity / constraint catalyst
0/2

Family context

Not established in the reviewed public biography.

Parent / family domain

No directly relevant parental/domain advantage established in the reviewed source.

Archetype & tags
Platform-native compoundingElite peer/collaboratorEarly platform/communityDirect domain exposureRare tools/facilities
Evidence summary

Began coding at seven, built and sold Totally Science as a teenager, then used fitness pain and influencer distribution for Cal AI.

advantage confidence: Medium · source count: 1 · audit: not_independently_audited · status: curated_interpretive_beta

Sources
Related — same primary engine