Interactive path comparison
Am I the next David Stavens?
A questionnaire can compare visible ingredients. It cannot reproduce David Stavens's timing, leverage origins, encounters, trajectory, or luck. Take the short quiz—then see exactly where the analogy stops working.
Milestone at 23Starting advantage 10/24Built/converted leverage 14/25Observed standing T3 · Domain-recognized
Independent educational analysis. Not affiliated with, endorsed by, or predictive of becoming David Stavens.
The comparison is the doorway, not the answer. A high match means some documented fields look similar. It does not mean the fields came from the same origins, interacted in the same order, or will produce the same outcome.
What the record actually contains
David Stavens's visible path ingredients
Grew up in Sioux City, Iowa; earned Princeton B.S.E. Computer Science magna cum laude at age 19, then Stanford M.S./Ph.D. under Sebastian Thrun. Key contributor on Stanley’s winning 2005 DARPA Grand Challenge stack; later co-founded and served as CEO of Udacity and co-founded medical AI company Nines.
Starting position · 10/24
Starting advantages
- Elite institution pipeline2/2
- Dedicated mentor / coach2/2
- Exceptional peer / cofounder2/2
- Frontier geography1/2
Multiplying capacity · 14/25
Built or converted leverage
- Complementary teamAdvantage-enabled origin · medium confidence2/2
- Started serious reps before 20Advantage-enabled origin · medium confidence1/1
- Prior repsAdvantage-enabled origin · medium confidence2/3
- Scarce skill depthAdvantage-enabled origin · medium confidence2/3
The surface comparison
Which visible ingredients do you share?
These questions are selected from David Stavens's strongest documented fields. For leverage, you will also identify where yours came from—the distinction a raw score hides.
The result is surface resemblance: descriptive overlap across the selected fields, not the probability that you become David Stavens.
What no quiz can recover
Luck acts across the entire path
Luck is not a fifth score. It changes the transitions between starting position, capability, trajectory, and outcome—and this successful-only dataset cannot estimate its size.
Structural luck
Birthplace, era, family, geography, institutions, and being near the right frontier.
Encounter luck
Meeting a collaborator, mentor, coach, investor, selector, or first customer.
Event luck
An algorithm boost, market shock, competitor failure, injury avoided, or unexpected opening.
Outcome variance
Similar visible inputs can still produce different results for reasons the record cannot recover.
Sequence matters
A score cannot reproduce this ordering
- 2001 · age 19Graduated Princeton with a B.S.E.
In Computer Science, magna cum laude, at age 19.
- 2005 · age 23Co-created Stanford’s Stanley team that
Won the DARPA Grand Challenge using self-supervised road/terrain learning.
- 2009 · age 27Won Qualcomm Innovation Fellowship with Jesse Levinson
For indoor WiFi localization research at Stanford.
The useful conclusion
You do not need to become the next David Stavens.
Use this profile to inspect mechanisms, not borrow an identity. Your relevant problem is which moves fit your starting conditions, current leverage, constraints, timing, and acceptable risks.