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Documented path

Marcus Yearwood

Founders / operators · Founder/Entrepreneur · milestone at age 21 ·Field-leading
Selected age-relative milestone · age 21
Co-founded Metis at age 21; scaled to mid-7-figure ARR; acquired by DoorDash (March 2026); backed by CRV, YC

UNDER 22 AT YC (age 21); Duke University Junior; from Colombia (team distributed across US and Colombia); generative modeling research background

Starting point

Education: Duke University, BA Mathematics and Computer Science (Junior, dropped out)

Current position (2026)

Founder at Metis

Where the conditions came from

Three sources, read side by side

Each is placed on a −1 to 3 scale from documented evidence, and the three are never added together. A combined total would rank Marcus Yearwood against other people. Held apart, they explain why this path ran differently from another one—which is the only comparison this project supports.

The marble itself

What they brought

+1Tailwind

What capability, drive, or early skill is documented in the person rather than their surroundings?

Duke junior from Colombia with generative modeling research background who co-founded Metis and achieved a DoorDash acquisition — solid execution but less individual distinction than co-founder.

Where it was dropped

What they were handed

0Neither way

What money, family standing, network, or permission was already in place before the work began?

From Colombia with limited family context; distributed team across US and Colombia suggests modest background without clear inherited leverage.

The shape of the track

What surrounded them

+2Tailwind

What place, timing, institution, or peer group made the next step available?

Duke, YC, CRV backing, and DoorDash acquisition provided strong accelerator and exit ecosystem despite cross-border logistics.

A −1 is a documented headwind, not a missing value; a 0 means the sources record nothing notable either way. Annotation confidence: Medium. These are analyst readings of what the sources record, not measurements of merit, talent, or effort. The twenty-two scored dimensions remain available inside the deeper research detail.

What moved through the conditions

Perseverance and luck stay visible—not scored.

Documented perseveranceNot documented in the reviewed biographical summaries.

Silence in a biography is not evidence that perseverance was absent.

Luck and unobserved varianceNo discrete luck event is documented in the reviewed biographical summaries.

A successful-only archive cannot recover all encounters, avoided setbacks, or alternative outcomes.

Open the legacy 22-field research annotation
How this path compounded
01 Starting advantages

3/24 starting-position score

Strongest documented signals: Frontier geography, Exceptional peer / cofounder, Direct domain exposure.

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

Cohort percentile: 52
02 Built or converted leverage

10/25 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: 68
03 Compounding trajectory

3 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 21
04 Observed career standing

T2 · Field-leading

Dominant figure at the top of a field. The tier summarizes documented career recognition through the data cutoff—not Marcus Yearwood's worth or future potential.

Question four · where did the leverage come from?

Marcus Yearwood'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.

Complementary team1/2
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Exceptional peer / cofounder (1/2)
Capital safety1/2
Unresolvedlow confidence

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

No decisive linked signal
Domain proximity1/2
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Direct domain exposure (1/2)Frontier geography (1/2)
Prior reps1/3
Unresolvedlow confidence

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

No decisive linked signal
Scarce skill depth1/3
Unresolvedlow confidence

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

No decisive linked signal
Native distribution1/3
Unresolvedlow confidence

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

No decisive linked signal
Elite ecosystem network1/3
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Frontier geography (1/2)Exceptional peer / cofounder (1/2)
Structural wave / timing1/3
Externalmedium confidence

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

Frontier geography (1/2)
Concentration intensity1/3
Unresolvedlow confidence

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

No decisive linked signal

This is a bounded inference from the current annotations—not a claim about private effort, merit, or the percentage of Marcus Yearwood'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, Marcus Yearwood's starting-advantage total is at the 52th percentile. Separately, their built or converted leverage total is at the 68th percentile. Other T2 profiles average 7.8 / 24 starting advantage and 12.4 / 25 leverage. Similar scores appear in other tiers, so these figures describe positioning—not a cause.
Trajectory
  1. 2004 · age 0
    Born
  2. 2022 · age 18
    Duke University, BA Mathematics and Computer Science (Junior, dropped out)
  3. 2025 · age 21
    Founded Metis
    YC Summer 2025
Primary leverage engine
Technical depth
Scarce technical / intellectual depth
Secondary engine
Timing/platform wave
Built/converted leverage
10 / 25
evidence: Low
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
0/1
Prior reps
1/3
Scarce skill depth
1/3
Native distribution
1/3
Elite ecosystem network
1/3
Complementary team
1/2
Structural wave / timing
1/3
Concentration intensity
1/3
Capital safety
1/2
Domain proximity
1/2
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
1/2
Rare early tools
0/2
Dedicated mentor / coach
0/2
Exceptional peer / cofounder
1/2
Early online platform
0/2
Direct domain exposure
1/2
Prodigy / innate ability
0/2
Adversity / constraint catalyst
0/2

Family context

Not documented.

Parent / family domain

Not documented.

Archetype & tags
Elite performance pipelineFrontier ecosystemElite peer/collaborator
Evidence summary

UNDER 22 AT YC (age 21); Duke University Junior; from Colombia (team distributed across US and Colombia); generative modeling research background

advantage confidence: Low · source count: 4 · audit: not_independently_audited · status: founder_research_beta

Sources
Related — same primary engine