Matt Dempsey, managing partner at Compound, pushes back on the founder assumption that a higher seed valuation is always preferable. "I think that it's a fallacy to believe that the highest-price things are the best things at the early stage," Dempsey said. "I think that that's just quantitatively not true."
The math supports him. SaaStr founder Jason Lemkin has laid out the arithmetic: a $40 million seed valuation—now common among hot AI startups, including many in recent Y Combinator cohorts—leaves almost no room for seed investors to generate fund-returning outcomes. Assuming roughly 50 percent dilution across three or more subsequent rounds, even a $1 billion exit returns barely 10x. Seed funds need 50x on their best deals to offset portfolio losses.
The dilution problem compounds at each financing stage. A company that raises at a $40 million seed pre-money, then takes a Series A, Series B, and growth round sees the seed investor's ownership cut in half at each stage. Terminal math requires an exit well above $1 billion just to justify the risk profile of an early bet.
Lemkin frames the danger for founders in performance terms. If a company raises at a high valuation and delivers strong numbers in the following 90 days, the elevated price is forgotten. If it misses those months, the narrative hardens permanently—investors and future capital sources do not forget a miss that follows an elevated entry price.
That asymmetry is the practical trap. A high valuation at seed stage is an implicit promise that the company will grow into a number that makes the entry price look cheap. The window to deliver opens immediately after close.
Lemkin identifies a second structural risk: unicorns that raised at very high revenue multiples during peak years are now, in his framing, "unfundable." The valuation from a prior round sits above what the market will pay today, creating a ceiling on the next financing. A flat round—raising new money at the same valuation as the prior round—signals to every downstream investor that growth did not meet implied expectations baked into the original price.
AngelList data supports this: holding all company attributes equal, a higher entry price reduces the markup rate at each subsequent round. A company that seeded at $15 million pre-money and prices a Series A at $30 million produces a 2x markup. The same Series A price for a company that seeded at $25 million pre-money is a flat round—same dollar amount, entirely different signal.
Dempsey's position is not that founders should accept bad terms or give away equity cheaply. The argument is narrower: the highest available price is not automatically the best option, and treating valuation as a proxy for deal quality is a quantitative mistake.
Lemkin offers one practical offset for founders raising at elevated valuations: burn discipline. A company that raises a large round at a high price but keeps monthly cash consumption moderate mutes the downside. The danger is not the valuation itself—it is the spending behavior and growth expectations that often accompany it. A company raising $20 million at a $100 million seed valuation but spending as if it raised $5 million buys time to grow into the number.
The on-chain parallel runs through token launch mechanics, where projects that priced seed and private rounds at aggressive fully-diluted valuations created the same ceiling problem at public market level. When the FDV implied by the private round exceeds what liquid markets will sustain, early sellers dominate the unlock schedule and retail buyers absorb losses. The structure differs from SaaS equity, but the valuation-as-a-bet-on-perpetual-upside logic is identical.
Dempsey's framing: a lower seed valuation gives founders more flexibility at each subsequent stage, keeps more exit options open, and does not front-load a performance expectation that narrows the path to a good outcome for everyone on the cap table.
