Graduated top of class at LSE. Earned Master's from MIT. Built and sold a software product while at MIT (~age 21-22). Won 3 prominent AI hackathons. Left Morocco at 18 with limited English and no netw
From Agadir, Morocco. Cousins with co-founder Younes. Left Morocco at 18 for UK, then MIT. Funded by three scholarships.
Education: London School of Economics (LSE) — Bachelor's Degree (2014-2017, graduated top of class). MIT — Master's Degree (2017-2018).
Current position (2026)
Founder at Overshoot
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 Zakaria El hjouji 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
-10+1+2+3
What capability, drive, or early skill is documented in the person rather than their surroundings?
Graduated top of class at LSE. Earned Master's from MIT. Built and sold a software product while at MIT. Won 3 prominent AI hackathons. Left Morocco at 18 with limited English and no network. Exceptional academic achievement overcoming significant barriers.
Where it was dropped
What they were handed
-1Active headwind
-10+1+2+3
What money, family standing, network, or permission was already in place before the work began?
From Agadir, Morocco. Left at 18 for UK with limited English and no network. Funded by three scholarships. Active disadvantage as immigrant with no family wealth, connections, or domain overlap in destination countries.
The shape of the track
What surrounded them
+2Tailwind
-10+1+2+3
What place, timing, institution, or peer group made the next step available?
LSE (top of class), MIT (Master's). 7 years at Uber (pricing algorithms) and Meta AI (GPU kernels). YC W26 with cousin co-founder Younes. Elite institutional trajectory from LSE to MIT to Silicon Valley, overcoming geographic and linguistic barriers.
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 perseverance7 years at Uber (pricing algorithms) and Meta AI (GPU kernels).
This records repeated behaviour or recovery described by sources; it is not a grit or merit score.
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.
Describes the starting position, not what the person later made of it.
Cohort percentile: 64
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 26
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 Zakaria El hjouji's worth or future potential.
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.
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 Zakaria El hjouji'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, Zakaria El hjouji's starting-advantage total is at the 64th percentile. Separately, their built or converted leverage total is at the 68th 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
1996 · age 0
Born
2014 · age 18
London School of Economics (LSE) — Bachelor's Degree (2014-2017, graduated top of class). MIT — Master's Degree (2017-2018).
2025 · age 29
Founded Overshoot
YC Winter 2026
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."