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Meta’s Muse: How we launched the most successful consumer product this year | Mona Sarantakos
Muse is the #1 app in the App Store and arguably the fastest-growing AI consumer product of all time. Mona Sarantakos has led product on it since day one. She’s VP of Product at Meta Superintelligence Labs and a 10-year Meta veteran with over 20 years of experience as a PM. This is her first podcast interview.
We discuss:
- How a weekend with OpenClaw on a Raspberry Pi turned into Muse
- Why Muse waited seven months to launch, despite getting started before most of its competitors
- How Nat Friedman, Alex Wang, and Mark Zuckerberg each left their imprint on the product
- How the team uses “agent swarms” to surface user insights at scale
- The use case nobody on the team predicted
- How Jolly, a placeholder avatar, became an icon
- The two levers that actually move activation for an AI agent
- The #1 thing Mona looks for in PMs today
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Brought to you by:
WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more
DX—Engineering intelligence for the AI era
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Episode transcript: https://www.lennysnewsletter.com/p/metas-muse-how-we-launched-the-most
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Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0
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Highlights: https://lennyspodcast.com/mostreplayedmoments
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Where to find Mona Sarantakos:
- LinkedIn: https://www.linkedin.com/in/mona-sarantakos-a85873
- Threads: https://www.threads.com/@monachaudhuri
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Where to find Lenny:
- Newsletter: https://www.lennysnewsletter.com
- X: https://twitter.com/lennysan
- LinkedIn: https://www.linkedin.com/in/lennyrachitsky/
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In this episode, we cover:
(00:00) Teaser
(01:24) Introduction and Mona’s background
(02:14) A weekend with an early agentic AI
(09:08) The seven-month launch timeline
(14:07) "The claw is the law"
(15:53) Nat, Alex Wang, Zuckerberg, and how leadership shaped Muse
(23:37) The Jolly origin story
(29:53) Priority use cases and the shopping surprise
(35:03) Agentic commerce and how shopping works
(38:03) Agent swarms and synthetic data
(42:48) Evals: structure, hierarchy, and who writes them
(46:37) Activation and word of mouth
(51:09) The design bets that defined Muse
(57:04) Prototyping culture and the two Muses that fought
(01:01:54) How the PM role has changed
(01:09:05) Muse's first prototype
(01:10:37) The board meeting prototype that almost didn’t work
(01:12:00) Team size, closeness, and culture
(01:20:55) What comes next: ambient agents and financial betterment
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Referenced:
- Muse: https://muse.ai
- Introducing Muse Spark: MSL’s First Model, Purpose-Built to Prioritize People: https://about.fb.com/news/2026/04/introducing-muse-spark-meta-superintelligence-labs
- Nat Friedman’s website: https://nat.org
- OpenClaw: https://openclaw.ai
- From skeptic to true believer: How OpenClaw changed my life | Claire Vo: https://www.lennysnewsletter.com/p/how-openclaw-changed-my-life-claire-vo
- Personal Superintelligence: https://www.meta.com/superintelligence
- The Future is for Everyone: https://www.meta.com/thefutureisforeveryone
- Grok Bot: https://x.ai/bot
- How we built Grok Bot in a month | Roman Ugarte (SpaceXAI): https://www.lennysnewsletter.com/p/how-we-built-grok-bot-in-a-month
- Claude Duet: https://claude.com/product/claude-duet
- Dots: https://openai.com/index/introducing-dots
- Alex Wang on X: https://x.com/alexandr_wang
- Alex Cornell’s website: https://www.alexcornell.com
- How I AI: How Meta designed Muse with Alex Cornell: https://www.lennysnewsletter.com/p/how-i-ai-how-meta-designed-muse-with
- Christine Awad on X: https://x.com/christinesed
- Linear’s secret to building beloved B2B products | Nan Yu: https://www.lennysnewsletter.com/p/linears-secret-to-building-beloved-b2b-products-nan-yu
