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Documented path

Lachy Groom

Founders / operators · Software/Tech · milestone at age 13 ·Professionally distinctive
Selected age-relative milestone · age 13
By age ~13–17 sold multiple online businesses (including a PSD-to-WordPress service bought by a U.S. competitor); at ~18 moved to San Francisco and joined Stripe as roughly employee #30 (sources cite ~2012–2014), rising to Head of Issuing—all well before age 26.

Born ~1994 in Perth, Western Australia; grandfather taught him HTML/CSS at ~10. Founded PSDtoWP, iPadCaseFinder, supplement and gift-card ventures while at Wesley College; parents Geoff (nuclear physician/radiologist) and Gill supported flexible schooling. Left for Silicon Valley after year 12; Stripe growth/ops/Issuing leadership then full-time angel investing (LGF) and Physical Intelligence co-founding.

Starting point

Born ~1994 in Perth, Australia, to a professional family (father a nuclear physician); learned web coding from his grandfather and built online businesses through high school.

Current position (2026)

Co-founder of robotics/AI company Physical Intelligence; founder of solo GP firm LGF with notable early bets (e.g., Figma, Notion, Ramp); former Head of Stripe Issuing.

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 Lachy Groom 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

+2Tailwind

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

Grandfather taught him HTML/CSS at ~10. Founded and sold multiple online businesses (PSDtoWP, iPadCaseFinder, CardNap) between ages 13-17. Joined Stripe as employee ~#30 at 18. Exceptional early entrepreneurial output and self-taught technical ability.

Where it was dropped

What they were handed

+2Tailwind

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

Father Geoff is a nuclear physician/radiologist; mother Gill supported flexible schooling. Attended Wesley College in Perth. Upper-middle-class Australian family with professional parents who accommodated his unconventional path. Grandfather provided early coding mentorship.

The shape of the track

What surrounded them

+2Tailwind

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

Grandfather's HTML teaching was the seed. Dev Bootcamp in SF provided U.S. entry. Stripe early employee position (~#30) with Head of Issuing role was catalytic. The Perth-to-SF migration and online marketplace wave timing were key ecosystem advantages.

A −1 is a documented headwind, not a missing value; a 0 means the sources record nothing notable either way. Annotation confidence: High. 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.

Structural luckThe Perth-to-SF migration and online marketplace wave timing were key ecosystem advantages.

This is an unchosen opening or condition in the record, not an estimate of how much luck caused the outcome.

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

10/24 starting-position score

Strongest documented signals: Frontier geography, Early online platform, Direct domain exposure.

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

Cohort percentile: 97
02 Built or converted leverage

15/25 multiplying-capacity score

Strongest observed levers: Domain proximity, Started serious reps before 20, Prior reps.

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

Cohort percentile: 93
03 Compounding trajectory

7 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 13
04 Observed career standing

T3 · Domain-recognized

Notable and widely recognized within the domain. The tier summarizes documented career recognition through the data cutoff—not Lachy Groom's worth or future potential.

Question four · where did the leverage come from?

Lachy Groom'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
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Parent / family domain (1/2)Dedicated mentor / coach (1/2)Early online platform (2/2)
Domain proximity2/2
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Direct domain exposure (2/2)Parent / family domain (1/2)Frontier geography (2/2)
Prior reps2/3
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Parent / family domain (1/2)Dedicated mentor / coach (1/2)Early online platform (2/2)
Scarce skill depth2/3
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Parent / family domain (1/2)Dedicated mentor / coach (1/2)Early online platform (2/2)
Elite ecosystem network2/3
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Parent / family domain (1/2)Frontier geography (2/2)
Structural wave / timing2/3
Externalmedium confidence

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

Frontier geography (2/2)Early online platform (2/2)
Concentration intensity2/3
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Family financial platform (1/2)Dedicated mentor / coach (1/2)
Capital safety1/2
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Family financial platform (1/2)
Native distribution1/3
Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Early online platform (2/2)

This is a bounded inference from the current annotations—not a claim about private effort, merit, or the percentage of Lachy Groom'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, Lachy Groom's starting-advantage total is at the 97th percentile. Separately, their built or converted leverage total is at the 93th percentile. Other T3 profiles average 5.3 / 24 starting advantage and 11.0 / 25 leverage. Similar scores appear in other tiers, so these figures describe positioning—not a cause.
Trajectory
  1. 2007 · age 13
    Founded and later sold early web businesses (including PSD-to-WordPress conversion)
    Still a young teenager.
  2. 2012 · age 18
    Featured in The West Australian as an 18-year-old multi-exit internet entrepreneur moving to
    San Francisco.
  3. 2014 · age 20
    Established as early Stripe employee (~#30)
    Working growth, product, and international expansion.
  4. 2018 · age 24
    Left Stripe after leading Issuing and related product/ops work to
    Invest full-time.
  5. 2020 · age 26
    Raising LGF II (~$100M) as a solo GP after a first fund
    With early stakes in later-category-defining SaaS companies.
  6. 2021 · age 27
    Raised ~$250M for LGF III, scaling angel/seed strategy.
  7. 2024 · age 30
    Co-founded Physical Intelligence
    A high-profile robotics foundation-model company in San Francisco.
Primary leverage engine
Early specialization / prior reps
Early specialization / prior reps
Secondary engine
Elite ecosystem network (Stripe)
Built/converted leverage
15 / 25
evidence: High
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
1/3
Elite ecosystem network
2/3
Complementary team
0/2
Structural wave / timing
2/3
Concentration intensity
2/3
Capital safety
1/2
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
1/2
Parent / family domain
1/2
Inherited audience / network
0/2
Elite institution pipeline
0/2
Frontier geography
2/2
Rare early tools
0/2
Dedicated mentor / coach
1/2
Exceptional peer / cofounder
0/2
Early online platform
2/2
Direct domain exposure
2/2
Prodigy / innate ability
1/2
Adversity / constraint catalyst
0/2

Family context

Raised in South Perth; father Geoff is a nuclear physician/radiologist; mother Gill; grandfather taught him web languages—professional middle/upper-middle class Australian household with active parental support of teen entrepreneurship.

Parent / family domain

Father in nuclear medicine/radiology (not software); grandfather provided early HTML/CSS tutoring; no inherited tech-company platform.

Archetype & tags
Self-created domain repetitionteen exitsStripe #30Perth to SFonline marketplacesIssuing lead
Evidence summary

Groom’s ≤26 record is unusually dense: multiple teen company sales, early Stripe hire as employee ~#30, and product/ops leadership culminating in Head of Issuing. Family provided stability and early coding exposure rather than Silicon Valley capital; the decisive stack was self-started online businesses plus immersion in Stripe’s growth-stage ecosystem after emigrating at 17–18.

advantage confidence: High · source count: 4 · audit: partial_source_verification · status: subagent_researched_beta

Sources
Related — same primary engine
Lewis Hamilton
Motorsport · age 10
Won the British Kart Championship at 10, was signed to the McLaren-Mercedes Young Driver Programme at 13, won F1 World Championship at 23 in 2008, and won multiple Grands Prix by 26.
Leverage 24/25T1
Mathieu van der Poel
Cycling · age 17
Won junior world, European, and national cyclo-cross titles at 17 (2012-13); became the youngest ever elite cyclo-cross world champion at age 20 (2015); by 26, won the Tour of Flanders twice (2020, 2022), Amstel Gold Race (2019), and a Tour de France stage (2021).
Leverage 21/25T1
Michael Jackson
Music · age 24
Released 'Thriller' in November 1982 at age 24, which became the best-selling album of all time. Earlier milestones include four consecutive No. 1 Billboard Hot 100 singles with the Jackson 5 starting in 1969 at age 11, and the breakthrough solo album 'Off the Wall' in 1979 at age 21.
Leverage 20/25T1
Wesley Sneijder
Soccer · age 19
Won the Eredivisie with Ajax in 2003-04 (age 19-20) and the Johan Cruyff Trophy for best young player in the Netherlands; by 26, he had won La Liga with Real Madrid (2007-08) and the Champions League, Serie A, and Coppa Italia treble with Inter Milan (2009-10).
Leverage 20/25T2
Kornelia Ender
Other Sports · age 13
Won three Olympic silver medals at the 1972 Munich Olympics at age 13, then four gold medals at the 1976 Montreal Olympics at age 17 while setting world records in each event, becoming the first woman to win four swimming golds at a single Olympics.
Leverage 20/25T2
Deng Yaping
Tennis · age 16
By age 26, Deng had won four Olympic gold medals (1992 and 1996, singles and doubles), eighteen world championship titles, and held the world #1 ranking for eight consecutive years, becoming the greatest female table tennis player of her era.
Leverage 20/25T1