Documented path
Born ~2004 (21 years old as of April 2026). From Bogotá, Colombia. No university education. Started ML work at 16 while still in high school. Founded first startup at 17. Sold it at 19. Met co-founder Yerson Cacua (ex-VP Tech of Rappi) through Makers program by Andrés Bilbao. Extremely notable young
Education: No university (self-taught); did not graduate from high school in Bogotá before starting ML work
Founder at Cifrato
Where the conditions came from
Each is placed on a −1 to 3 scale from documented evidence, and the three are never added together. A combined total would rank Juan Pisco 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
+3Tailwind
What capability, drive, or early skill is documented in the person rather than their surroundings?
Self-taught prodigy from Bogotá with no university education. Wrote ML algorithms for SF biotech at 16. Founded TripPlanner AI at 17 reaching 3M+ users in 100 countries. Sold it at 19. Google certified AI expert. Trajectory-changing self-taught ability from extremely young age.
Where it was dropped
-1Active headwind
What money, family standing, network, or permission was already in place before the work began?
From Bogotá, Colombia. No university education. Self-taught from limited resources in a developing country. Active adversity from lack of access to formal education and ecosystem.
The shape of the track
+1Tailwind
What place, timing, institution, or peer group made the next step available?
Met co-founder Yerson Cacua (ex-VP Tech of Rappi) through Makers program by Andrés Bilbao. Platanus Ventures accelerator. YC W25. Limited ecosystem access in Colombia compared to US/Europe, but leveraged online platforms effectively.
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
This records repeated behaviour or recovery described by sources; it is not a grit or merit score.
This is an unchosen opening or condition in the record, not an estimate of how much luck caused the outcome.
Strongest documented signals: Frontier geography, Exceptional peer / cofounder, Direct domain exposure.
Describes the starting position, not what the person later made of it.
Strongest observed levers: Complementary team, Capital safety, Domain proximity.
Measures what was present, not whether it was inherited, earned, self-built, external, or mixed.
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.
Dominant figure at the top of a field. The tier summarizes documented career recognition through the data cutoff—not Juan Pisco's worth or future potential.
Question four · where did the leverage come from?
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.
One or more documented starting advantages plausibly enabled this lever.
No current annotation distinguishes self-built, enabled, or earned origins for this lever.
One or more documented starting advantages plausibly enabled this lever.
The biography uses self-directed-building language, but the origin was not independently annotated.
The biography uses self-directed-building language, but the origin was not independently annotated.
The biography uses self-directed-building language, but the origin was not independently annotated.
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.
The biography uses self-directed-building language, but the origin was not independently annotated.
This is a bounded inference from the current annotations—not a claim about private effort, merit, or the percentage of Juan Pisco's outcome attributable to any origin.
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.
Multiplying capacity documented later in the path. Measures what was present, not whether it was inherited, earned, self-built, external, or mixed.
Access or conditions documented near the beginning of the path. Zero means "no clear evidence in reviewed sources," not "advantage was absent."
Not documented.
Not documented.
Born ~2004 (21 years old as of April 2026). From Bogotá, Colombia. No university education. Started ML work at 16 while still in high school. Founded first startup at 17. Sold it at 19. Met co-founder Yerson Cacua (ex-VP Tech of Rappi) through Makers program by Andrés Bilbao. Extremely notable young
advantage confidence: Low · source count: 7 · audit: not_independently_audited · status: founder_research_beta