Why a $1M Startup Wasn’t Worth Building in the Age of AI

a16z · 2026-10-19 · 62 min
https://www.youtube.com/watch?v=o_5f4N6Nq80Video summary
Town founder Jean-Denis Greze shut down a nearly $1M tax startup to build an AI work assistant that routes tasks across models.
Former Plaid CTO Jean-Denis Greze built an AI tax-prep startup for small businesses that earned just under $1 million in its first year and projected $2.5 million to $3 million in year two. He shut it down because annual tax sales and incumbent distribution made venture-scale growth unlikely; the founders had about a month after October 15 to pivot before another tax season began. Town emerged as an AI assistant connected to email and calendars, preparing meetings and automating routine work. Greze describes it as a “token-allocation machine” that finds useful tasks as AI costs fall, from meeting research to comparing restaurant wholesalers’ prices for about $1 a month. Town aims to start with self-serve SMB and mid-market users, then serve enterprises with security controls, while staying neutral among model providers and letting businesses own their data and AI-generated context. The conversation also explores why AI adoption lags outside Silicon Valley and how neutral agents could reshape advertising, shopping, and online distribution.
Chapters
- 0:00Leaving Plaid for SMB tax: nearly $1M in year one, but annual sales capped scale
- 6:57Walking away from a working tax business: the October pivot window was only about a month
- 10:28How Town was born: email-and-calendar AI found product-market fit as agents improved
- 16:16The iPhone moment for AI at work: Town starts with email and calendar before enterprise integrations
- 23:22Town as a token-allocation machine: meeting prep and $1 monthly wholesale checks
- 29:10Horizontal vs vertical: Town builds role-specific routines from power-user interviews
- 34:03Why Town over OpenAI and Anthropic: neutral model choice and customer-owned context
- 39:20Why Town over OpenAI and Anthropic: no training, internal agents, and a 12-month market shift
- 44:32Why AI is underhyped outside the Valley: a surfboard-rental workflow reveals the tinkerer gap
- 48:50Why AI is underhyped outside the Valley: Town’s computer-use agents reach 90% success and can make event posters
- 52:33Neutral agents and the broken ad covenant: agent traffic overtakes humans and challenges ad-funded recommendations
- 56:21Neutral agents and the broken ad covenant: Muse, Amazon, and agents reshape shopping and supply aggregation
What the full analysis includes
12 chapters · 71 key points · 12 section summaries · mind map
Preview of the first chapter · Leaving Plaid for SMB tax: nearly $1M in year one, but annual sales capped scale
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