Lex Fridman PodcastKevin Systrom: Instagram | Lex Fridman Podcast #243
Episode Details
EPISODE INFO
- Released
- November 23, 2021
- Duration
- 2h 44m
- Channel
- Lex Fridman Podcast
- Watch on YouTube
- ▶ Open ↗
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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- Fundrise: https://fundrise.com/lex
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
hostKevin 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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