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The Twenty Minute VCSaam Motamedi: Why Series B Won’t Make Money & Why $1M ARR is a BS Milestone for Series A | E1177
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At a glance
WHAT IT’S REALLY ABOUT
AI Bubble, Overpriced Series B, And Why $1M ARR Misleads Investors
- Greylock partner Saam Motamedi argues that today’s AI and Series B markets are in an even more distorted bubble than 2021, driven by irrational buyers and exuberant valuation multiples disconnected from public comparables.
- He explains why classic heuristics like “$1M ARR for Series A” are flawed, emphasizing founder quality, market size, and product defensibility over early revenue milestones.
- Across stages, he outlines how Greylock underwrites expensive seeds, thinks about ownership vs. price, and when they will or won’t lead follow-on rounds—challenging notions like signaling risk and “playing the game on the field.”
- Saam also discusses why now is a uniquely good time to build horizontal SaaS platforms in the AI era, how he evaluates foundation models vs. applications, and what younger investors should actually optimize for in their careers.
IDEAS WORTH REMEMBERING
5 ideasToday’s AI and Series B markets are more dislocated than 2021.
Seed and growth-stage AI companies are raising at 100–200x revenue while best-in-class public software trades at 15–20x, implying most investors are assuming unrealistically persistent growth or ignoring eventual public market benchmarks.
Valuation matters less than ownership and power-law outcomes at seed.
Debating $20M vs. $30M post-money at seed is largely irrelevant if the company becomes a true outlier; what matters is being in the very few companies that can reach hundreds of millions of ARR, not optimizing minor entry deltas on middling outcomes.
$1M ARR as a Series A milestone is a misleading heuristic.
Many companies get to $1–2M ARR and then stall; investors should start with founder quality and market dynamics, using ARR only as a secondary, partial signal of product–market fit—not a gate for writing a check.
Great SaaS opportunities emerge when data model, delivery model, and interface all shift.
Generative AI is changing how data is structured/queried (less rigid schemas), how software is priced (hybrid seat + work-based models), and how users interact (agents instead of static UIs), reopening the chance to build new Salesforces, Workdays, and ServiceNows.
Application-layer AI investing is more similar to traditional SaaS than many think.
Despite discourse about “wrappers,” Saam evaluates AI apps on the same fundamentals as SaaS: deep workflow integration, stickiness, pricing power, and distribution advantages—not on novel model tricks alone.
WORDS WORTH SAVING
5 quotesWe are in an exuberant AI bubble, and we may not even fully appreciate how big of a bubble we’re in.
— Saam Motamedi
I really wonder if the Series B asset class as a whole is positioned to make money this vintage.
— Saam Motamedi
It drives me crazy when I hear, ‘Your checklist for the Series A: number one, a million dollars of ARR.’
— Saam Motamedi
Most people in venture capital are not helpful.
— Saam Motamedi
I sincerely believe it is the best time in a long time to be building SaaS companies and investing in SaaS.
— Saam Motamedi
High quality AI-generated summary created from speaker-labeled transcript.
