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Daniel Gross
Founders / operators · Founder/Entrepreneur · milestone at age 19 ·
T2 Field-leadingMilestone (age 19)
In 2010, at about age 18–19, accepted as the then-youngest Y Combinator founder (W10) and co-founded Greplin (later Cue); by ~19 raised Sequoia capital and by 2013 (age ~22) sold Cue to Apple for a reported $40–60M.
Born in Jerusalem in 1991 and raised in an Orthodox Jewish environment, Gross expected a traditional religious path in Israel. While in mechina before IDF enlistment he applied to Y Combinator on a whim, became its youngest founder at the time, and built Greplin into a predictive personal-search product that Sequoia backed and Apple acquired.
Think your path resembles Daniel Gross's?Compare the visible ingredients, then see exactly where the comparison stops working.
Am I the next Daniel Gross? →Starting point
Born 1991 in Jerusalem; raised Orthodox Jewish with an expected traditional religious life in Israel before applying to Y Combinator.
Current position (2025)
Technology investor and AI executive; left Safe Superintelligence Inc. (co-founded 2024 with Ilya Sutskever) to join Meta Superintelligence Labs in 2025; previously YC partner and Apple AI lead.
How this path compounded
01 Starting advantages
6/24 starting-position score
Strongest documented signals: Frontier geography, Elite institution pipeline, Exceptional peer / cofounder.
Describes the starting position, not what the person later made of it.
Cohort percentile: 40
02 Built or converted leverage
12/25 multiplying-capacity score
Strongest observed levers:Started serious reps before 20, Scarce skill depth, Elite ecosystem network.
Measures what was present, not whether it was inherited, earned, self-built, external, or mixed.
Cohort percentile: 45
03 Compounding trajectory
8 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 19
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 Daniel Gross's worth or future potential.
Question four · where did the leverage come from?
Daniel Gross'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.
Elite institution pipeline (1/2)Early online platform (1/2)
Scarce skill depth2/3
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Elite institution pipeline (1/2)Early online platform (1/2)
Elite ecosystem network2/3
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Elite institution pipeline (1/2)Frontier geography (2/2)Exceptional peer / cofounder (1/2)
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 (1/2)
Concentration intensity2/3
Unresolvedlow confidence
No current annotation distinguishes self-built, enabled, or earned origins for this lever.
No decisive linked signal
Complementary team1/2
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Exceptional peer / cofounder (1/2)Elite institution pipeline (1/2)Early online platform (1/2)
Domain proximity1/2
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Direct domain exposure (1/2)Frontier geography (2/2)Elite institution pipeline (1/2)
Prior reps1/3
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Elite institution pipeline (1/2)Early online platform (1/2)
This is a bounded inference from the current annotations—not a claim about private effort, merit, or the percentage of Daniel Gross'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, Daniel Gross's starting-advantage total is at the 40th percentile. Separately, their built or converted leverage total is at the 45th percentile. Other T2 profiles average 7.9 / 24 starting advantage and 12.3 / 25 leverage. Similar scores appear in other tiers, so these figures describe positioning—not a cause.
Trajectory
- 2010 · age 19
Accepted to Y Combinator W10 as then-youngest founder and co-founded Greplin (later Cue)
For unified personal search.
- 2011 · age 20
Raised ~$4M from Sequoia Capital for Greplin and was named to
Forbes 30 Under 30 in technology.
- 2013 · age 22
Apple acquired Cue for a reported $40–60M
Gross joined Apple to lead machine-learning/search efforts.
- 2017 · age 26
Left Apple to become a Y Combinator partner and launched YC’s dedicated AI track.
- 2018 · age 27
Founded Pioneer, a global remote early-stage talent accelerator and fund.
- 2023 · age 32
With Nat Friedman, deployed the Andromeda GPU cluster for portfolio AI startups
Named to TIME100 AI.
- 2024 · age 33
Co-founded Safe Superintelligence Inc.
With Ilya Sutskever and Daniel Levy.
- 2025 · age 34
Left SSI to join Meta Superintelligence Labs working
AI products.
Primary leverage engine
Execution / product taste + elite network
Network / capital
Secondary engine
Product / domain insight
Built/converted leverage
12 / 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
Elite ecosystem network
2/3
Structural wave / timing
2/3
Concentration intensity
2/3
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
1/2
Dedicated mentor / coach
0/2
Exceptional peer / cofounder
1/2
Direct domain exposure
1/2
Prodigy / innate ability
0/2
Adversity / constraint catalyst
0/2
Family context
Born in Jerusalem; raised in an Orthodox Jewish family context and planned a traditional religious life in Israel before pivoting via YC.
Parent / family domain
Not documented in reviewed sources.
Archetype & tags
Institutional ecosystem accelerationY CombinatorSequoiaSilicon Valleyyoungest YC founderApple acquisition
Evidence summary
Gross left a traditional Israeli religious track to join YC W10 as its youngest founder, shipping Greplin/Cue and raising Sequoia at ~19 before an Apple acquisition at ~22. He later ran AI/search work at Apple, partnered at YC (launching YC AI), co-invested heavily in AI with Nat Friedman, co-founded Safe Superintelligence with Ilya Sutskever, and in 2025 joined Meta Superintelligence Labs. Early advantage centers on YC/Sequoia institutional acceleration and Silicon Valley immersion rather than documented family capital or domain inheritance.
advantage confidence: Medium · source count: 5 · audit: not_independently_audited · status: subagent_researched_beta
Sources
Related — same primary engine