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SaaSpocalypse Revisited, Singer x Louis Vuitton, Aman vs Ryan Walker | Igor Babuschkin, Brannin McBee, Garret Langley, Sonya Huang, Sean Cole

August 13, 2026

AI Summary

5 min read

SaaSpocalypse Revisited, Singer x Louis Vuitton, Aman vs Ryan Walker

The "SaaSpocalypse" — the thesis that AI coding tools would destroy every software company built on "a big pile of code" — has been officially cancelled. When the hosts first declared it dead in February 2026, the call felt premature. Six months later, the iShares ETF tracking tech and software is up 30%, and many beaten-down SaaS companies have roared back. The original thesis contained a kernel of truth: having a monolithic codebase is less of a moat than it was a decade ago, and competition is increasing, especially for point solutions. But reality turned out messier — and more interesting — than the pure "vibe code everything" narrative predicted.

What survived the SaaSpocalypse — and what didn't

The companies that weathered the storm revealed sources of strength that had nothing to do with lines of code. Shopify is the canonical example. One host described a business doing nearly $100 million a year that pays Shopify roughly $1,000 a month — about one percent of revenue. "Even with how good the models are today, you would need multiple people basically vibe coding around the clock to have a product that was comparable," one host noted. The network effects, integrations, and go-to-market infrastructure matter far more than the code itself.

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What you'll learn

  • 1 (00:03) **Episode Introduction & SASpocalypse Revisited** - The hosts open the show, discuss taking a "victory lap" on their earlier SASpocalypse thesis, and set up the segment to revisit whether the cancellation was justified.
  • 2 (03:06) **Sources of Strength: Why Some SaaS Survived** - The panel identifies the real moats that protected certain SaaS companies from the AI-driven apocalypse.
  • 3 (04:49) **Case Studies: The Winners and Losers** - The hosts review the six companies they originally identified as case studies (Google, Meta, Spotify, Shopify, Roblox, Salesforce) and examine which have thrived.
  • 4 (08:18) **Golf Course Math & SASpocalypse Victims** - The hosts digress into a detailed calculation of how much money Palo Alto's CEO made, then pivot to true victims of the SASpocalypse.
  • 5 (11:32) **The Token Path & Infrastructure Winners** - The discussion shifts to SaaS companies that are thriving because they sit in the "token path" of AI consumption.
  • 6 (13:37) **Igor Babuschkin & The MSL Talent Exodus** - The hosts discuss the departure of a key AI researcher from Meta, framing it as the beginning of a wave of exits from companies that overpaid for talent.
  • 7 (19:19) **Instagram's New Wordmark & Branding Trends** - The panel critiques Instagram's first logo update in 10 years, comparing it to broader fashion and branding cycles.

+ Full timestamped outline available in the app

Guests on this episode

Sonya Huang

Show Notes

  • (00:37) - SaaSpocalypse Revisited
  • (13:46) - 𝕏 Timeline Reactions
  • (25:13) - Singer x Louis Vuitton
  • (33:33) - North Korea Infiltrates U.S Jobs
  • (39:06) - Aman vs Ryan Walker
  • (50:57) - 𝕏 Timeline Reactions
  • (54:49) - Igor Babuschkin discusses his journey from physicist to AI researcher at DeepMind and OpenAI, co-founder of xAI, and founder of River AI. He outlines River AI’s vision for personalized, user-owned models while exploring video games as AI benchmarks, real-world reinforcement learning, specialized models, GPU demand, and custom inference chips.
  • (01:11:33) - Brannin McBee discusses CoreWeave’s strong second-quarter performance and his role as the AI infrastructure company’s co-founder. He highlights financing, data-center capacity, hardware longevity, global expansion, and CoreWeave’s ability to meet rapidly growing demand for AI computing.
  • (01:26:34) - Garrett Langley discusses Flock Safety’s new privacy and accountability measures, including mandatory audit-log reviews and shorter data-retention recommendations. The founder and CEO addresses surveillance concerns, police misuse, regulatory challenges, and the need to balance public safety with privacy and community trust.
  • (01:45:08) - Sonya Huang, a general partner at Sequoia Capital, discusses the unprecedented growth of AI companies and the democratization of model development across startups. She argues that application companies should increasingly own and customize their AI intelligence, while emphasizing that small internal teams can use maturing post-training tools and specialized partners to build competitive models.
  • (01:58:01) - Sean Cole discusses Parasma’s work training lab-grown human neurons for computing tasks, including basic token prediction. He highlights biological computing’s potential advantages in energy efficiency, rapid learning, and continual adaptation, while outlining plans to automate the company’s lab and generate near-term revenue through applications such as drug testing.
  • (02:06:06) - 𝕏 Timeline Reactions


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