Master's from Cambridge in ML; worked at European Space Agency and Amazon; research in swarm robotics; co-founded OnDeck AI generating six-figure revenue.
Best friends with co-founder Alexander since grade 6. Studied CS together in university. Based in Vancouver/Canada area. Personal website at sepand.me. Age likely similar to Alexander (~26 at YC).
Education: Master's in Machine Learning from Cambridge University. Studied CS in university with Alexander Dungate.
Current position (2026)
Founder at OnDeck AI
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 Sepand Dyanatkar 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?
UBC CS + Physics. Cambridge MPhil in ML (multi-agent RL, GNNs). Research intern at ESA European Astronaut Centre. MIST Lab (swarm robotics). UBC Rocket Engineering Design Team. Published at International Astronautical Congress. Amazon SDE. Strong multi-domain technical ability.
Where it was dropped
What they were handed
0Neither way
-10+1+2+3
What money, family standing, network, or permission was already in place before the work began?
Based in Vancouver/Canada area. Best friends with co-founder Alexander since grade 6. No clear family wealth or domain connections identified. UBC + Cambridge education.
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?
UBC (CS + Physics). University of Cambridge (elite, MPhil in ML). European Space Agency. Amazon. MIST Lab at Polytechnique Montréal. UBC Rocket Engineering. YC S25. Best friends with co-founder since grade 6.
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.
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 23
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 Sepand Dyanatkar'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.
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.
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 Sepand Dyanatkar'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, Sepand Dyanatkar's starting-advantage total is at the 52th 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
1999 · age 0
Born
2017 · age 18
Master's in Machine Learning from Cambridge University. Studied CS in university with Alexander Dungate.
2022 · age 23
Founded OnDeck AI
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."
Best friends with co-founder Alexander since grade 6. Studied CS together in university. Based in Vancouver/Canada area. Personal website at sepand.me. Age likely similar to Alexander (~26 at YC).