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Risa Feng
Milestone (age 24)
Co-founded BUD, a metaverse UGC platform, in 2019 at age 24; raised $36.8M Series B led by Sequoia Capital India and reached 12.5M downloads from Google Play alone.
Graduated from Cornell University in 2017 with a degree in Computer Science and Mathematics. Immersed in art mediums since childhood, moving from watercolors to digital art to 3D modeling, and built indie games during university. Joined Snapchat's AR Division in 2017 as an interactive engineer working on frontier Lens experiences before co-founding BUD with Shawn Lin, a former Snap colleague.
Think your path resembles Risa Feng's?Compare the visible ingredients, then see exactly where the comparison stops working.
Am I the next Risa Feng? →Starting point
Immersed in art mediums since childhood; graduated from Cornell University with CS and Math degree in 2017. Specific family financial details not documented.
Current position (2025)
Co-founder and CEO of BUD, a metaverse UGC platform headquartered in Singapore; raised $60M+ total from Sequoia, GGV Capital, and others; Forbes 30 Under 30 Asia 2022.
How this path compounded
01 Starting advantages
9/24 starting-position score
Strongest documented signals: Elite institution pipeline, Exceptional peer / cofounder, Direct domain exposure.
Describes the starting position, not what the person later made of it.
Cohort percentile: 84
02 Built or converted leverage
15/25 multiplying-capacity score
Strongest observed levers:Complementary team, Domain proximity, Started serious reps before 20.
Measures what was present, not whether it was inherited, earned, self-built, external, or mixed.
Cohort percentile: 82
03 Compounding trajectory
5 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 24
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 Risa Feng's worth or future potential.
Question four · where did the leverage come from?
Risa Feng's leverage provenance
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.
Started serious reps before 201/1
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Rare early tools (1/2)Elite institution pipeline (2/2)Early online platform (1/2)
Complementary team2/2
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Exceptional peer / cofounder (2/2)Elite institution pipeline (2/2)Early online platform (1/2)
Domain proximity2/2
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Direct domain exposure (2/2)Frontier geography (1/2)Elite institution pipeline (2/2)
Prior reps2/3
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Rare early tools (1/2)Elite institution pipeline (2/2)Early online platform (1/2)
Scarce skill depth2/3
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Rare early tools (1/2)Elite institution pipeline (2/2)Early online platform (1/2)
Elite ecosystem network2/3
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Elite institution pipeline (2/2)Frontier geography (1/2)Exceptional peer / cofounder (2/2)
Structural wave / timing2/3
Externalmedium confidence
A structural wave is external to the person, even when their position improved access to it.
Frontier geography (1/2)Early online platform (1/2)
Native distribution1/3
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Early online platform (1/2)Elite institution pipeline (2/2)
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 Risa Feng'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, Risa Feng's starting-advantage total is at the 84th percentile. Separately, their built or converted leverage total is at the 82th percentile. Other T3 profiles average 7.0 / 24 starting advantage and 11.7 / 25 leverage. Similar scores appear in other tiers, so these figures describe positioning—not a cause.
Trajectory
- 2017 · age 22
Graduated from Cornell with CS and Math
Joined Snapchat's AR Division as an interactive engineer.
- 2019 · age 24
Co-founded BUD with Shawn Lin in Singapore
Building a metaverse UGC platform for Gen Z.
- 2021 · age 26
Raised $15M Series A+ for BUD from GGV Capital
Other investors.
- 2022 · age 27
Raised $36.8M Series B led by Sequoia Capital India
Named to Forbes 30 Under 30 Asia.
- 2023 · age 28
BUD reached millions of users globally
Its 3D interactive content platform.
Primary leverage engine
Technical depth + creative design
Product / domain insight
Secondary engine
Elite ecosystem network
Built/converted leverage
15 / 25
evidence: Medium
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
1/1
Elite ecosystem network
2/3
Structural wave / timing
2/3
Concentration intensity
1/3
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."
Family financial platform
0/2
Parent / family domain
0/2
Inherited audience / network
0/2
Elite institution pipeline
2/2
Dedicated mentor / coach
0/2
Exceptional peer / cofounder
2/2
Direct domain exposure
2/2
Prodigy / innate ability
0/2
Adversity / constraint catalyst
0/2
Family context
Immersed in different art mediums since childhood, moving from watercolors to digital art, stop motion animation to 3D modeling. Specific family financial details and parents' professions not documented in reviewed sources.
Parent / family domain
Not documented in reviewed sources, though early immersion in art suggests family support for creative pursuits.
Archetype & tags
Institutional ecosystem accelerationCornell CSSnap AR engineerindie game buildingco-founder from SnapSequoia backingmetaverse wave
Evidence summary
Risa Feng graduated from Cornell with CS and Math, built indie games during university, and joined Snapchat's AR Division in 2017 where she gained frontier AR experience. She co-founded BUD in 2019 with Shawn Lin, a Snap colleague, leveraging their combined engineering and creative backgrounds. The metaverse wave of 2021-2022 helped BUD raise $36.8M from Sequoia Capital India and GGV Capital. Early art immersion and Cornell's elite CS program provided the foundation for her product-building capability.
advantage confidence: Medium · source count: 5 · audit: not_independently_audited · status: subagent_researched_beta
Sources
Related — same primary engine