Key Moments

Why You Shouldn't Copy Your Tech Idols

Y CombinatorY Combinator
Science & Technology6 min read18 min video
Sep 13, 2023|115,214 views|2,978|124
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TL;DR

Tech idols like Sam Altman and Elon Musk often give advice they didn't follow themselves, making it crucial for aspiring founders to research their actual paths before blindly copying.

Key Insights

1

Sam Altman's first startup, 'Loot,' was a conventional mobile social product, not an ambitious lab like OpenAI, which he later founded.

2

Elon Musk stated his primary motivation for early tech startups like Zip2 and PayPal was to "get rich fast" to fund his ultimate goal of going to space.

3

Peter Thiel advocates against college, yet he himself attended undergrad, law school at Stanford, and worked at a law firm and bank.

4

Successful individuals may give advice they wish they'd received earlier, not necessarily advice they actually followed.

5

Y Combinator combats this by having partners share their full backstories, including failures, to provide context for their advice.

6

Personalized advice considers a founder's specific advantages and situation, which is difficult to replicate from general public advice.

The disconnect between advice given and paths taken by tech idols

Prominent figures in the tech industry, such as Sam Altman, Elon Musk, and Peter Thiel, often dispense advice that sounds reasonable but doesn't reflect their own journeys to success. This phenomenon, described as 'do as I say, not as I did,' is particularly confusing for aspiring entrepreneurs who only know these individuals as successes. Those who witnessed these founders' early careers recognize the discrepancy, while newer entrants might take the advice at face value. The content highlights that while these individuals offer valuable insights and are worthy of admiration, their historical methods for achieving success might differ significantly from the guidance they now provide.

Sam Altman's conventional startup beginnings

Sam Altman's path to founding OpenAI did not begin with a massive, ambition-driven lab. His first startup, 'Loot,' was a mobile social product developed after he left Stanford. He raised a relatively modest amount of money, built a small team, and iterated using the Y Combinator network and his growing connections. This approach, while not as glamorous as a large-scale lab, was a standard and effective way to build a career and gather the necessary network and experience. The creators emphasize that emulating Sam's current ventures by immediately attempting to raise $100 million and build a lab would be a mistake, as it's fundamentally different from his actual early steps. This conventional startup approach is often overlooked but is crucial for most founders who lack the unique advantages that enable later, larger plays.

Elon Musk's 'get rich fast' motivation for space

Elon Musk's early career, including co-founding Zip2 and PayPal, was driven by a clear, pragmatic goal: to accumulate substantial wealth quickly. According to his own accounts, his ultimate ambition was to fund his dream of space exploration, famously stating his plan "is to die on Mars hopefully not on impact." During the dot-com boom, he focused on building successful tech companies using conventional strategies to generate the necessary capital. He wasn't initially pursuing deep tech or revolutionary ideas for their own sake; rather, he was employing standard startup tactics to become very wealthy. Only after achieving significant financial success through these ventures could he then invest in and personally back high-risk, capital-intensive companies like SpaceX and, at times, bail out Tesla from his own funds. This two-step process—building wealth first, then pursuing ambitious, capital-intensive goals—is often skipped by those trying to emulate him, failing to recognize the foundational wealth-building phase that Musk himself executed.

Peter Thiel's controversial anti-college stance versus his own education

A well-known piece of advice attributed to Peter Thiel is his critique of the necessity of traditional college education. While this critique holds valid points and resonates with many, it contrasts sharply with Thiel's own educational and professional history. He not only attended college but also pursued law school at Stanford, earning a law degree. Furthermore, he gained experience working at a prominent law firm and a major bank before venturing into entrepreneurship. The creators suggest that these experiences, even if they were personally challenging or perceived as painful at the time, likely provided him with foundational knowledge and perspectives that influenced his later success. Without the direct comparison of his path versus an alternative where he omitted college, it's difficult to definitively prove his advice holds universally, especially when his own trajectory included these very steps.

The psychology behind advice discrepancies

The tendency for successful individuals to offer advice they didn't personally follow often stems from positive intentions. They genuinely wish to help others avoid pitfalls or find more efficient routes. However, as people become accustomed to their successful backstories, they can become blind to the specific context and unique advantages that propelled them. They may focus more on what they would do with their current knowledge and perspective, essentially giving advice they wish they could tell their past selves. This retrospective advice can be powerful but doesn't always map directly onto the reality of someone starting out without those same advantages or historical experiences.

Y Combinator's approach to providing contextualized advice

Y Combinator actively works to counteract this effect by being transparent about their own histories and failures. At the beginning of each batch, partners share their complete backstories, detailing what they did before starting their companies, the mistakes they made, and the lessons learned. This open sharing helps founders understand the context behind the advice given, humanizes the partners, and demonstrates that significant achievements can arise from numerous errors. This approach encourages founders to seek a fuller perspective on advice rather than cherry-picking isolated statements.

The value of personalized and familial advice

The advice given by Y Combinator partners often becomes more nuanced and personalized when they consider what they would tell someone they care deeply about, like their own children. This perspective often leads to more conservative, realistic, and experimentally grounded guidance. For instance, even if one personally disliked college, realizing it was the place where crucial co-founders were met can lead to recommending it to others as a viable path. This empathetic approach ensures advice is tailored to the individual's situation and potential advantages, a contrast to generalized advice offered to a faceless audience.

Exploiting personal advantages for founder success

A key strategy in personalized advising is identifying and helping founders exploit their unique personal advantages. This might involve advising someone with a proven track record as an investor to raise significant capital, or encouraging someone with substantial personal wealth to invest heavily in their own company. This level of tailored guidance is often delivered through direct interaction, such as YC's office hours, where deep knowledge of an applicant's background allows for advice that may even appear to contradict standard YC playbooks. The core principle is to leverage what makes an individual unique, rather than promoting a one-size-fits-all strategy, acknowledging that such personalized insights are hard to glean from public-facing content.

Common Questions

This phenomenon, often termed 'do as I say, not as I did,' occurs because successful individuals may become desensitized to their own unique backstories or offer advice reflecting what they *wish* they had done differently or advice for their current selves with new information.

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