← back to explore
Bhavish Aggarwal
Founders / operators · Founder/Entrepreneur · milestone at age 25 ·
T1 Global iconMilestone (age 25)
Co-founded Ola
IIT Bombay and Microsoft Research background; a poor taxi experience prompted an initial travel-rental service that evolved into Ola.
Starting point
Born on August 28, 1985 in Ludhiana, Punjab, India; parents were doctors; completed B.Tech in computer engineering at IIT Bombay in 2008; worked at Microsoft Research India for two years.
Current position (2025)
Co-founder and CEO of Ola Consumer, founder and CEO of Ola Electric, and founder of Ola Krutrim; net worth estimated at ~$2 billion; resides in Bangalore, India.
How this path compounded
01 Starting advantages
7/24 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: 59
02 Built or converted leverage
17/25 multiplying-capacity score
Strongest observed levers:Complementary team, Domain proximity, Prior reps.
Measures what was present, not whether it was inherited, earned, self-built, external, or mixed.
Cohort percentile: 92
03 Compounding trajectory
6 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 25
04 Observed career standing
T1 · Global icon
Legendary or globally iconic career standing. The tier summarizes documented career recognition through the data cutoff—not Bhavish Aggarwal's worth or future potential.
Question four · where did the leverage come from?
Bhavish Aggarwal'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.
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)
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.
Elite institution pipeline (2/2)
Scarce skill depth2/3
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Elite institution pipeline (2/2)
Native distribution2/3
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Elite institution pipeline (2/2)
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)
Concentration intensity2/3
Unresolvedlow confidence
No current annotation distinguishes self-built, enabled, or earned origins for this lever.
No decisive linked signal
Capital safety1/2
Advantage-enabledmedium confidence
One or more documented starting advantages plausibly enabled this lever.
Elite institution pipeline (2/2)
This is a bounded inference from the current annotations—not a claim about private effort, merit, or the percentage of Bhavish Aggarwal'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, Bhavish Aggarwal's starting-advantage total is at the 59th percentile. Separately, their built or converted leverage total is at the 92th percentile. Other T1 profiles average 8.9 / 24 starting advantage and 13.6 / 25 leverage. Similar scores appear in other tiers, so these figures describe positioning—not a cause.
Trajectory
- 2008 · age 23
Joined Microsoft Research
Started career at Microsoft Research India as a research intern, later becoming an assistant researcher; filed two patents and published three papers.
- 2010 · age 25
Co-founded Ola Cabs
Co-founded Ola Cabs with Ankit Bhati in Bangalore after a bad experience with a taxi; launched the ride-hailing platform in January 2011.
- 2015 · age 30
Ola became unicorn
Ola Cabs became a unicorn valued at over $1 billion, competing with Uber in the Indian market.
- 2017 · age 32
Founded Ola Electric
Founded Ola Electric, an EV and battery manufacturing venture, as a separate entity within the Ola group.
- 2021 · age 36
Launched Ola Electric scooters
Ola Electric launched its first electric scooters from a factory on the outskirts of Bangalore, planned to be run entirely by women.
- 2024 · age 39
Ola Electric IPO and Krutrim unicorn
Ola Electric went public in August 2024; Krutrim, his AI startup founded in 2023, became India's first AI unicorn valued at $1 billion.
Primary leverage engine
Local product insight
Product / domain insight
Secondary engine
Timing + execution
Built/converted leverage
17 / 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
0/1
Elite ecosystem network
2/3
Structural wave / timing
2/3
Concentration intensity
2/3
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
Middle-class background; elite educational access was earned through IIT.
Parent / family domain
No directly relevant parental domain advantage established.
Archetype & tags
High-trust peer teamElite peer/collaboratorElite institution/pipelineDirect domain exposureFrontier ecosystem
Evidence summary
IIT Bombay and Microsoft Research background; a poor taxi experience prompted an initial travel-rental service that evolved into Ola. Family: Middle-class background; elite educational access was earned through IIT. Parents/family: No directly relevant parental domain advantage established.
advantage confidence: Medium · source count: 1 · audit: not_independently_audited · status: curated_interpretive_beta
Sources
Related — same primary engine