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The Twenty Minute VCThe Twenty Minute VC

Roundtable #6 with Rebecca Kaden, Nicole Quinn, Eurie Kim, Harry Stebbings | E1083

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Nicole (Nicky) QuinnguestEurie (Yuri) KimguestRebecca KadenguestHarry Stebbingshost
Nov 16, 202341mWatch on YouTube ↗

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At a glance

WHAT IT’S REALLY ABOUT

VC Titans Debate Seed Valuations, AI Hype, and Venture’s Reset

  1. Harry Stebbings hosts a roundtable with Eurie Kim (Forerunner), Rebecca Kaden (USV), and Nicole Quinn (Lightspeed) to dissect how venture is evolving across seed, Series A–C, and growth in a post‑2021 world.
  2. They debate whether traditional seed funds can still win hot deals against multistage giants, how macro cycles are (and aren’t) impacting early-stage pricing, and why many B and C rounds now represent a brutal filter for companies without real momentum and efficiency.
  3. The group analyzes AI as a massive, durable platform shift—especially at the application layer—while warning about inflated entry prices and emphasizing that real value will accrue to products that solve concrete problems, not just “AI companies.”
  4. They predict more down rounds, higher mortality, selective M&A, a partial pullback by LPs, and a return to less consensus-driven, more thesis-led investing, with renewed collaboration between seed specialists and multistage firms.

IDEAS WORTH REMEMBERING

5 ideas

Seed is still competitive, but hustle and non-consensus theses give specialist funds an edge.

Despite multistage platforms pushing earlier, focused seed firms that see founders before it’s obvious, have sharp perspectives on less crowded themes, and bring tangible help can still win allocations or co-lead with larger funds.

Valuations at seed and Series A have held up overall, but pressure is building.

Data from Lightspeed shows average seed and A prices are roughly flat vs. 2021, yet Rebecca argues that poor performance from recent large funds and harder follow-on rounds will eventually push big firms upmarket and drive seed prices down.

Momentum plus efficiency plus large markets are now mandatory for strong Series A–B rounds.

Investors are still willing to pay premiums for companies with real traction, great unit economics, and deep markets—especially in AI—but growth alone without sustainable economics or a compelling market narrative no longer clears at prior valuations.

Down rounds with clean terms are preferable to structured “pretend” valuations.

The group encourages founders to accept valuation resets rather than complex structures that haunt future rounds; while down rounds hurt morale and can cause employee turnover, they are often better than overhang that distorts incentives.

AI is a durable platform shift whose biggest value may sit at the application layer.

While foundational models may concentrate some value, the panel is most excited about AI being embedded into consumer and business products to drastically cut costs and time—creating what Nicole calls a 'lottery of time' and unlocking new experiences and services.

WORDS WORTH SAVING

5 quotes

AI is akin to winning the lottery. It is the lottery of time.

— Nicole Quinn

We are exiting the time of consensus-based venture capital… the myth of a hot deal is a myth.

— Rebecca Kaden

You have to have a real business at some point in time.

— Eurie Kim

Seed valuations are gonna go down… the strategy of very large funds writing $2 million checks does not work.

— Rebecca Kaden

Companies die from indigestion rather than starvation.

— Nicole Quinn

Read the available transcript
Traditional seed funds vs. multistage funds in competitive early-stage roundsSeed, Series A, B, and C valuation dynamics and macro impactAI as a technological wave: infra vs. applications, pricing, and adoptionFund strategy, firm scale, AUM vs. carry, and partnership structuresDown rounds, messy cap tables, and the cultural impact on founders and employeesIncreased mortality rates, constrained B/C markets, and limited M&A optionsFuture of venture capital: less consensus, more thesis-driven and back-to-basics investing

High quality AI-generated summary created from speaker-labeled transcript.

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