Founded Ztelic, a social-data startup that was acquired by Yahoo (~2013), likely before age 26; also authored 8 peer-reviewed publications during academic career
Based in Addis Ababa, Ethiopia; strong academic background in math and chemistry; company distributed across Ethiopia and Hong Kong
Education: UC San Diego, double majors in Mathematics and Chemistry (Honor program); Johns Hopkins University, M.S. Bioinformatics (dropped out midway)
Current position (2026)
Founder at beU delivery
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 Hao Zheng 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?
Double major in Mathematics and Chemistry (Honors) at UCSD with 5.5 years of undergraduate research. Authored 8 peer-reviewed publications (5 first author). Started MS at Johns Hopkins in Bioinformatics. Strong academic research trajectory with significant early publication record.
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 Addis Ababa, Ethiopia; company distributed across Ethiopia and Hong Kong. No specific family wealth, domain connections, or background mentioned. UCSD honors education suggests strong academic ability but no evidence of family advantages.
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?
UCSD research under Dr. Ongkeko — 5.5 years of dedicated research mentorship. Johns Hopkins Bioinformatics (elite program). Yahoo (senior web architect, CTO of Beijing R&D). Zynga Asia CTO. Stanford. Direct domain exposure to both academic research and tech industry at elite levels.
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 perseveranceDouble major in Mathematics and Chemistry (Honors) at UCSD with 5.5 years of undergraduate research.
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: 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 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 Hao Zheng'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 Hao Zheng'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, Hao Zheng'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
1987 · age 0
Born
2005 · age 18
UC San Diego, double majors in Mathematics and Chemistry (Honor program); Johns Hopkins University, M.S. Bioinformatics (dropped out midway)
2021 · age 34
Founded beU delivery
YC Winter 2022
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."