Why You Should or Should Not Work at a Startup by Justin Kan

Speaker Context

• Justin Kahn is a four-time YC participant (founder of three YC companies) and current founder of Atrium (YC Winter 2018).
• Formerly founded Justin.tv (later Twitch), which presented at YC eight years prior to this talk.

Risks and Reasons to Avoid Startups

• Management quality at startups is frequently poor, often regardless of whether the company succeeds as a "rocket ship."
• Early-stage employees rarely receive sufficient mentorship or direction unless they actively demand it.
• Financial outcomes: Becoming wealthy from a startup is statistically improbable; the expectation of immediate wealth is unrealistic.
• Market evolution: Silicon Valley has matured over the last decade, shifting from interest-driven culture to career-trajectory seeking.
• Stability mismatch: Employees seeking clear five-year career plans or job stability are better suited for large tech firms like Facebook.

Reasons to Join a Startup

• Access to unqualified roles
  • Early-stage environments force employees to undertake responsibilities they are technically unqualified for.
  • Case Study (Guillaume): A French programmer recruited by Kahn accepted a $10k salary premium over a Scribd offer to join Justin.tv.
    • Within one year, he managed the entire Rails backend for a top 20-100 site.
    • He later co-founded SocialCam (spun out of Justin.tv) and scaled it to 128 million users in two months.
    • Currently a co-founder of TripleByte.
• Gateway to entrepreneurship
  • Working at a startup accelerates founder creation by placing individuals in proximity to like-minded peers.
  • Case Study (Finbar): An ex-Groupon engineer joined Exec (a failed startup) to learn from founders.
    • Despite the company's failure, he met a co-founder there and launched a startup (Shogun) that entered YC and is now growing successfully.
  • Kahn cites the adage that an individual becomes the "average of their five closest friends."
• Maximizing speed of learning (The "Slope")
  • Kahn prioritizes the rate of personal growth ("slope") over initial capability ("Y-intercept").
  • Learning during success (Kyle Vogt):
    • Recruited from MIT as a hardware hacker for a failed pivot to hardware.
    • Forced to architect a scalable live video system from scratch despite lacking prior experience in the field.
    • The system initially failed every 36-48 hours; the team resorted to having a pizza delivery driver deliver messages to his home to alert him of outages.
    • He eventually engineered a system that, by the 2014 Amazon acquisition, became the 4th largest bandwidth consumer in North America (90 petabytes/month).
  • Learning during failure (Daniel Kahn):
    • Kahn's brother learned negotiation and deal-closing mechanics while attempting to sell the failed cleaning startup "Exec."
    • He managed a difficult acquisition with Handy while Kahn was on vacation in Thailand, negotiating a deal for minimal cash and stock.
    • He applied these specific lessons from a "horrible" deal to his next venture, Cruise, which was acquired by GM for over $1 billion two years later.

Forward-Looking Statement

• Kahn argues that employees will extract valuable lessons regardless of whether the startup succeeds or fails, provided they maximize their rate of learning.