The Case Against Obvious Deals | Lan Xuezhao, Founder & Managing Partner, Basis Set Ventures

About this episode

What actually separates a great early-stage bet from an obvious one? This week on The Data Minute, Peter sits down with Lan Xuezhao, Founder and Managing Partner of Basis Set Ventures, fresh off closing the firm's $250 million Fund IV.

Lan built Basis Set in 2017 as one of the first venture funds structured specifically around AI, years before AI became the entire market's obsession. Her portfolio includes an early bet on Scale AI before the fund technically existed, along with Quince, Path Robotics, Workstream, Ergeon, Cusp, and Drata. She and Peter dig into why she deliberately looks for founders who don't come from the obvious pedigree or the most hyped category, how she reads "speed of learning" in a founder across a single meeting or a string of them, and why she thinks a chart everyone loves (fastest company ever to $100 million in revenue) is one of the most misleading in venture right now.

The conversation also covers her thesis behind backing Quince as a supply chain company rather than a consumer brand, why robotics went from a graveyard of failed bets to the hottest category in the market, how AI is compressing deal diligence from weeks to days, and her framework for thinking about secondaries with LPs who have stuck with her since fund one. It closes with a personal story: raising her first fund five months pregnant, and the LPs who told her flatly she was crazy to try.


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Chapters:
00:00 – Intro: Reading the Bifurcated Seed Chart
01:20 – Why Unknown Founders Command Premium Valuations
03:38 – Higher Valuation, Lower Multiple: The Math of Being Late
04:18 – Two Types of Companies Basis Set Backs
05:33 – Defining "Good": Avoiding the Most Obvious Space
07:14 – Is Revenue-Per-Employee a Real Signal or Just Vanity?
08:55 – Defining "Speed of Learning"
11:55 – Do the Most Expert Founders Struggle to Update Their Views?
13:14 – The Interview Trick: Pick Any Topic, Go Deep
16:31 – The Revenue Chart Everyone Loves (and Why It Lies)
18:48 – Margin, Retention, and What Actually Matters at Seed
21:19 – Why Series A to B Is the Most Confusing Stage
22:35 – Using AI to Compress Diligence From Weeks to Days
24:16 – The Quince Thesis: Supply Chain, Not Consumer Brand
27:06 – Robotics: From Graveyard to Hottest Category
27:54 – Model Commoditization: Real Risk or Lazy Narrative?
30:07 – The San Francisco Premium: Moving Here Doubles the Price
33:27 – Does Sky-High Ambition Help Companies or Kill Them?
36:17 – LP Sentiment: Recycling Capital, and Why the Type of LP Matters
40:28 – A Framework for Secondaries: Baskets, Founders, and the Data Point That Worries Her
44:13 – Are There Too Many VCs?
45:51 – Fund Four: When a Firm Stops Feeling Like a Collection of Funds
47:26 – LPs Aren't Backing the Outcome, They're Backing the Process
48:34 – Raising Fund One Five Months Pregnant, and Being Called Crazy
49:14 – Outro

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