Kevin Systrom: Instagram | Lex Fridman Podcast #243

ℹ️ EPISODE INFO

Released

November 23, 2021

Duration

2h 44m

Channel

Lex Fridman Podcast

Watch on YouTube

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📝 EPISODE DESCRIPTION

Kevin Systrom is the co-founder and former CEO of Instagram. Please support this podcast by checking out our sponsors:

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EPISODE LINKS: Kevin's Instagram: https://www.instagram.com/kevin/ Kevin's Twitter: https://twitter.com/kevin Kevin's LinkedIn: https://www.linkedin.com/in/kevinsystrom PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ Full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 Clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41 OUTLINE: 0:00 - Introduction 0:22 - Origin of Instagram 42:29 - New social networks 1:01:34 - Selling Instagram to Facebook 1:24:36 - Features 1:28:42 - Facebook 2:05:24 - Whistleblower 2:16:43 - Machine learning 2:26:41 - Advice for startups 2:32:33 - Money 2:38:33 - Love 2:40:50 - Meaning of life SOCIAL:

• Twitter: https://twitter.com/lexfridman
• LinkedIn: https://www.linkedin.com/in/lexfridman
• Facebook: https://www.facebook.com/lexfridman
• Instagram: https://www.instagram.com/lexfridman
• Medium: https://medium.com/@lexfridman
• Reddit: https://reddit.com/r/lexfridman
• Support on Patreon: https://www.patreon.com/lexfridman

🎤 SPEAKERS

• Lex Fridman

  host

• Kevin Systrom

  guest

🧾 EPISODE SUMMARY

In this episode of Lex Fridman Podcast, featuring Lex Fridman and Kevin Systrom, Kevin Systrom: Instagram | Lex Fridman Podcast #243 explores instagram’s Creator Reveals Startup Grit, Product Intuition, Algorithm Future Kevin Systrom walks through Instagram’s evolution from a failed check‑in app (Burbn) into a globally dominant photo‑sharing network by ruthlessly following user behavior and simplifying around what worked: photos. He explains his product philosophy using ideas from machine learning—especially feedback loops, loss functions, and learning rates—to describe how great products iterate toward product‑market fit.

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