Documented path
Born February 22, 1994 and raised in California; graduated NYU Courant Institute with a CS bachelor's in 2016. Worked as front-end engineer at Venmo and associate product manager at Twitter, then joined GV as principal in 2017 before partner promotion in 2020.
Born February 22, 1994; raised in California; computer science graduate of NYU Courant (2016).
Founder and general partner of Type Capital (early-stage VC); previously partner at GV; Forbes 30 Under 30; youngest NYU trustee as of 2021.
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 Terri Burns 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
+1Tailwind
What capability, drive, or early skill is documented in the person rather than their surroundings?
Self-described as a 'really curious kid' who liked science, but had no interest in computer science until college. Took first CS class sophomore year at NYU. Above-average ability with strong curiosity, but no early exceptional achievement.
Where it was dropped
0Neither way
What money, family standing, network, or permission was already in place before the work began?
Raised in Long Beach, California with no documented family wealth or tech connections. Grew up without knowledge of Silicon Valley; family background is not publicly documented in detail.
The shape of the track
+2Tailwind
What place, timing, institution, or peer group made the next step available?
NYU Courant CS program, Google BOLD exposure program, Twitter APM role, and GV mentorship under Jessica Verrilli. Institutional acceleration through product-to-VC path, though not an elite founding peer environment.
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
This records repeated behaviour or recovery described by sources; it is not a grit or merit score.
A successful-only archive cannot recover all encounters, avoided setbacks, or alternative outcomes.
Strongest documented signals: Elite institution pipeline, Frontier geography, Direct domain exposure.
Describes the starting position, not what the person later made of it.
Strongest observed levers: Domain proximity, Elite ecosystem network, Structural wave / timing.
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.
Notable and widely recognized within the domain. The tier summarizes documented career recognition through the data cutoff—not Terri Burns'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.
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.
One or more documented starting advantages plausibly enabled this lever.
One or more documented starting advantages plausibly enabled this lever.
One or more documented starting advantages plausibly enabled this lever.
One or more documented starting advantages plausibly enabled this lever.
This is a bounded inference from the current annotations—not a claim about private effort, merit, or the percentage of Terri Burns'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."
Raised in California; detailed family financial background not documented in reviewed sources.
Not documented in reviewed sources.
Burns combined CS training and product roles at Venmo/Twitter with mentorship from GV partners, becoming principal at 23 and partner at 26. Domain exposure from building consumer products and investing in Gen-Z startups (e.g., HAGS seed) supported the promotion. Family domain advantages are undocumented; pipeline was institutional (NYU, SF/NY tech, GV).
advantage confidence: High · source count: 4 · audit: source_verified · status: subagent_researched_beta