EO: building a global startup media channel from Korea

Executive overview

Most startup content sells success formulas. EO sells authentic failure stories from real founders. The channel was born from a Korean founder's frustration that Silicon Valley's culture of open learning wasn't accessible in Korea.

EO's mission: make entrepreneurship education available to anyone, not just those with access to top universities or private networks.

Democratising startup culture requires dismantling the gap between private knowledge networks and the public.

Origin and motivation

  • Founder Taeyong ran three startups after military service; first succeeded, next two failed
  • In Korea, founding companies young was uncommon — no surrounding startup culture
  • Travelled to Silicon Valley with $3,000 and found a culture that celebrated failure and iteration
  • In Silicon Valley, three failed startups earned curiosity, not judgment
  • Returned to import that culture to Korea — that was the beginning of EO

What EO is building

  • Korean No. 1 and estimated global No. 3 startup media channel
  • Rebranding as a global-first media channel accessible to any country or region
  • Year 1 goal: become the world's best startup media channel
  • Year 2 goal: launch a masterclass so anyone can access entrepreneurship education affordably
  • Year 3 goal: create a platform where entrepreneurs can connect and help each other

How the team operates

  • Bottom-up goal-setting; team members own their programs, not just their tasks
  • Every team member takes different roles across larger projects
  • No fixed step-by-step processes — most work is new, so ownership replaces procedure
  • Trust replaces micromanagement; freedom and responsibility are given together

The platform and data strategy

  • 50,000 active users and 1,000 startup CEOs already on EO Planet
  • Thousands of hours of CEO interview footage collected over five years
  • Machine learning used for semantic search and recommendation on a structured entrepreneur story database
  • Data policy and ML platform being expanded to improve quality and scale

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