Aryan Sharma

Founders / operators · Founder/Entrepreneur · milestone at age 18 ·T4 Specialist-known

Milestone (age 18)

Co-founded Induced AI, an AI-powered browser automation platform, in 2023 at age 18 and raised $2.3M in seed funding led by Sam Altman (OpenAI CEO) and Peak XV Partners, with backing from SignalFire, SV Angel, and Daniel Gross.

Born around 2005, Aryan Sharma is an Indian-origin entrepreneur based in Silicon Valley. He was previously a founding engineer at Layer3, a web3 user acquisition platform. He co-founded Induced AI in 2023 with Ayush Pathak, building an AI-powered browser automation platform that converts plain English workflow instructions into executable code. He networked extensively in San Francisco, cold-emailing and meeting influential people including Sam Altman, eventually securing his investment. The startup raised $2.3M in seed funding in October 2023.

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Starting point

Working in tech since age 13; after high school, received a full scholarship from Eric Schmidt (former Google CEO) to attend any university in America but decided to continue building products independently instead of going to college.

Current position (2025)

Co-founder and CEO of Induced AI, an AI-powered browser automation platform based in Silicon Valley; previously founding engineer at Layer3, a web3 user acquisition and retention platform.

How this path compounded

01 Starting advantages

7/24 starting-position score

Strongest documented signals: Frontier geography, Exceptional peer / cofounder, Early online platform.

Describes the starting position, not what the person later made of it.

Cohort percentile: 59

02 Built or converted leverage

12/25 multiplying-capacity score

Strongest observed levers:Complementary team, Started serious reps before 20, Elite ecosystem network.

Measures what was present, not whether it was inherited, earned, self-built, external, or mixed.

Cohort percentile: 45

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 18

04 Observed career standing

T4 · Specialist-known

Notable, but primarily known within a niche. The tier summarizes documented career recognition through the data cutoff—not Aryan Sharma's worth or future potential.

How tiers work →

Question four · where did the leverage come from?

Aryan Sharma'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.

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)Early online platform (1/2)

Elite ecosystem network2/3

Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Frontier geography (2/2)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 (2/2)Early online platform (1/2)

Concentration intensity2/3

Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Adversity / constraint catalyst (1/2)

Domain proximity1/2

Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Direct domain exposure (1/2)Frontier geography (2/2)

Prior reps1/3

Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Early online platform (1/2)

Scarce skill depth1/3

Advantage-enabledmedium confidence

One or more documented starting advantages plausibly enabled this lever.

Early online platform (1/2)

This is a bounded inference from the current annotations—not a claim about private effort, merit, or the percentage of Aryan Sharma'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, Aryan Sharma's starting-advantage total is at the 59th percentile. Separately, their built or converted leverage total is at the 45th percentile. Other T4 profiles average 5.7 / 24 starting advantage and 10.3 / 25 leverage. Similar scores appear in other tiers, so these figures describe positioning—not a cause.

Trajectory

2018 · age 13
Started working in tech
Began working in technology at age 13, building products and learning from founders, operators, and investors around the world.
2022 · age 17
Founding engineer at Layer3
Served as founding engineer at Layer3, a web3 user acquisition and retention solution provider, gaining early startup engineering experience.
2023 · age 18
Co-founded Induced AI
Co-founded Induced AI with Ayush Pathak in early 2023 in Silicon Valley, building an AI-powered browser automation platform that spins up Chromium-based browser instances to automate workflows.
2023 · age 18
Raised $2.3M seed from Sam Altman
Raised $2.3M in seed funding led by Sam Altman (OpenAI CEO) and Peak XV Partners, with backing from SignalFire, SV Angel, Daniel Gross, Nat Friedman's AI grant, and Balaji Srinivasan.
2024 · age 19
Scaling Induced AI
Continued building Induced AI as a lean team, with bots performing 150K+ actions for enterprises, focusing on automating repetitive back-office workflows like writing emails and shortlisting candidates.

Primary leverage engine

Network / capital

Secondary engine

Product / domain insight

Built/converted leverage

12 / 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

Prior reps

1/3

Scarce skill depth

1/3

Native distribution

0/3

Elite ecosystem network

2/3

Complementary team

2/2

Structural wave / timing

2/3

Concentration intensity

2/3

Capital safety

0/2

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."

Family financial platform

0/2

Parent / family domain

0/2

Inherited audience / network

0/2

Elite institution pipeline

0/2

Frontier geography

2/2

Rare early tools

0/2

Dedicated mentor / coach

0/2

Exceptional peer / cofounder

2/2

Early online platform

1/2

Direct domain exposure

1/2

Prodigy / innate ability

0/2

Adversity / constraint catalyst

1/2

Family context

Indian-origin, based in Silicon Valley. Not much documented about family background. He traveled to San Francisco as a teenager to network with investors and tech leaders, suggesting some means to do so but no documented family wealth.

Parent / family domain

Not documented in reviewed sources; no evidence of parental tech or business domain expertise.

Archetype & tags

Frontier geography immersionSilicon Valley proximitySam Altman connectioncold emailingweb3 backgroundAI automation wavecomplementary co-founder

Evidence summary

Sharma's primary advantage was his physical proximity to Silicon Valley and his relentless networking — he cold-emailed Sam Altman and other investors, offered to work as Altman's secretary to get close to OpenAI, and eventually secured his investment. His prior experience as founding engineer at Layer3 (web3) gave him some technical credibility. His complementary co-founder Ayush Pathak (previously founding engineer at Thirdweb) provided a strong technical team. The AI automation wave was a major structural tailwind. His Indian-origin background and willingness to travel to SF as a teenager suggest some adversity-driven urgency. Family background is not documented.

advantage confidence: Low · source count: 4 · audit: not_independently_audited · status: subagent_researched_beta

Sources

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