The VC Method 2026: How Investors…

1. Key Themes

Theme: The textbook VC Method overprices seed rounds because it ignores future dilution

Skipping the retention ratio inflates the seed pre-money 2.9x

"The first thing it showed us on a plain seed-stage company surprised me: the textbook one-line VC Method formula overprices the seed round 2.9x. It says $38.6M pre-money. Once you account for the Series A, B and C that follow, the number is $13.2M."
"Step 4 is the one the textbook version leaves out. That version divides the exit by the target multiple and stops: $727M ÷ 17.1 is a $42.6M post-money and a $38.6M pre-money. It assumes the seed investor still owns its 23.3% in 2033, when it will own 9.4%."

Dilution compounds across rounds and shrinks founder ownership sharply

"In the default plan the Series A sells 26.4% of the company, the B sells 23.0% and the C sells 18.6%, and each round tops up the option pool on the way. Founders go from 80% before the seed to 55.0% after it and 22.1% after the Series C."
"Carta's medians for US software dilute less per round. Peter Walker's December 2025 data shows 19.5% at seed, 18% at Series A, 14% at B, 10% at C and 7.5% at D. Compound those and a founder keeps 47.3% of their pre-seed stake through a Series D, before any pool top-ups."

The retention ratio separates fundable prices from fantasy

"The retention ratio is the number that separates a fundable seed price from a fantasy one. A founder who walks in quoting the textbook number is anchored 2.9x above anything the investor's own model will pay."

Theme: The investor's hurdle rate is a failure discount, and time-to-exit is the biggest price lever

Seed hurdles are far higher than most guides state (a correction to the newsletter's own earlier guide)

"In May 2025 we published a guide to the VC Method and said investors target a 25% to 40% annual return. That range fits companies nearing an IPO. For a seed round, Aswath Damodaran's teaching tables at NYU Stern put the target at 50% to 70%, and over a seven-year hold that gap compounds into a very different price."
"Damodaran's slides... list typical target rates of return by stage: 50% to 70% for start-ups, 40% to 60% at the first stage, 35% to 50% at the second and 25% to 35% for a bridge to an IPO."

A high hurdle prices in portfolio mortality

"The useful way to read the hurdle is as a failure discount. Say the fund needs 25% a year across its whole portfolio. A 50% hurdle on your deal then implies about a 28% chance that you reach the exit in your plan, a bit better than one in four. The rest of the rate pays for the companies that die before 2033."

Time to exit moves price dramatically

"At a 50% hurdle, every year you add before the exit cuts the post-money by a third, all else equal. Shave a year off a credible path to exit and the post-money rises 50%, all else equal."

Theme: 2026 market benchmarks, with AI capital concentration and a stretched exit multiple

Seed checks are shrinking while Series A rounds grow, and AI dominates dollars

"The median US seed deal fell to $3.0M in the first nine months of 2026, down from $3.4M in 2025, while the median Series A grew to $17.4M from $13.7M, according to the PitchBook-NVCA Venture Monitor for Q3 2026. AI companies took 82.7% of the dollars."

AI seed valuations and SAFE dynamics

"Carta's Peter Walker put the median AI seed valuation at $25M in April 2026, with median seed dilution at 18%, down from about 20%. At pre-seed, 93% of rounds in Q2 2026 were SAFEs, and SAFEs of $2.5M or more carried a $35M median valuation cap."

Public multiples make a 10x exit assumption aggressive

"Jamin Ball's Clouded Judgement for October 23, 2026 has the median public software company at 4.8x next-twelve-month revenue, growing 13% a year. Companies growing faster than 22% trade at a 21.0x median, and the top five at 33.1x."
"A 10x multiple in 2033 sounds modest until you remember that the median public software company trades at less than half of it today, so 10x already assumes you'll still be one of the fast growers at exit."

2. Contrarian Perspectives

Seed prices are set by competition, not models, yet founders should still run the math in reverse

The author is skeptical that investors do this math formally: "I doubt many seed investors open a spreadsheet like this before they send a term sheet. Seed prices in 2026 come from competition, and an AI company with three term sheets gets the $25M median or more, whatever a model says."
But the model is still a negotiation tool because investors reverse-engineer the exit they must believe: "At your ask, they back out the exit they'd have to believe in. For our default company, a $25M pre-money needs a $1.23B exit to hit a 50% hurdle, which is 1.7x the plan. If your deck can defend a $1.2B outcome, ask for $25M. If it defends $727M, the math lands at $13M, and you should know that before the partner meeting."

A 50% hurdle only looks greedy

Counter to the intuition that 50-70% targets are extractive: "A 50% hurdle looks greedy until you see what it pays for." Damodaran frames it as "closer to forward pricing than to valuation," with the exit value discounted "at an arbitrarily high discount rate with no connection to the actual risk in a business," and the author shows it is effectively a survival-probability adjustment (about a 28% chance of reaching the plan's exit).

A "modest" 10x exit multiple is actually an upside case

Against the common founder framing of 10x as conservative: "Public software trades at a median 4.8x revenue, so a 10x exit is already an upside case." Founders "stretch" this input most.

3. Companies Identified

Carta

Description: Cap table management platform that publishes startup financing and dilution data.
Why mentioned: Source of dilution medians, AI seed valuations and SAFE data.
Quotes: "Carta's medians for US software dilute less per round." / "At pre-seed, 93% of rounds in Q2 2026 were SAFEs, and SAFEs of $2.5M or more carried a $35M median valuation cap."

PitchBook-NVCA Venture Monitor

Description: Quarterly venture industry data report from PitchBook and the National Venture Capital Association.
Why mentioned: Source of 2026 round sizes and AI's share of dollars.
Quotes: "The median US seed deal fell to $3.0M in the first nine months of 2026... AI companies took 82.7% of the dollars."

Clouded Judgement

Description: Jamin Ball's public software valuation newsletter.
Why mentioned: Source of public software revenue multiples used to benchmark exit assumptions.
Quotes: "Companies growing faster than 22% trade at a 21.0x median, and the top five at 33.1x."

Harvard Business School

Description: Business school where the VC Method was originally published.
Why mentioned: Origin of the method (Sahlman and Scherlis, 1987).
Quotes: "Bill Sahlman and Daniel Scherlis wrote it up at Harvard Business School in 1987 (note 9-288-006)."

NYU Stern

Description: Business school where Aswath Damodaran teaches.
Why mentioned: Source of the stage-based hurdle rate tables.
Quotes: "Aswath Damodaran's teaching tables at NYU Stern put the target at 50% to 70%."

The VC Corner

Description: Newsletter and resource library for founders and investors (142,000+ subscribers).
Why mentioned: Publisher of the guide and the 7-tab Excel model.
Quotes: "More than 142,000 founders, operators and investors subscribe to The VC Corner."

4. People Identified

Aswath Damodaran

Description: NYU Stern finance professor known for valuation.
Why mentioned: His stage-based target return tables underpin the hurdle-rate argument.
Quotes: "Damodaran's slides on valuing and pricing young and start-up firms list typical target rates of return by stage: 50% to 70% for start-ups, 40% to 60% at the first stage, 35% to 50% at the second and 25% to 35% for a bridge to an IPO."

Bill Sahlman and Daniel Scherlis

Description: Harvard Business School authors of the original VC Method note.
Why mentioned: Originators of the method.
Quotes: "Bill Sahlman and Daniel Scherlis wrote it up at Harvard Business School in 1987 (note 9-288-006), and it's still the fastest way to see a round through an investor's eyes."

Peter Walker (Carta)

Description: Carta data analyst who publishes startup funding benchmarks.
Why mentioned: Source of dilution and AI seed valuation medians.
Quotes: "Peter Walker's December 2025 data shows 19.5% at seed, 18% at Series A, 14% at B, 10% at C and 7.5% at D."

Jamin Ball

Description: Author of Clouded Judgement, tracking public software multiples.
Why mentioned: Source of exit multiple benchmarks.
Quotes: "Jamin Ball's Clouded Judgement for October 23, 2026 has the median public software company at 4.8x next-twelve-month revenue, growing 13% a year."

Ruben Dominguez

Description: Author of the post at The VC Corner.
Why mentioned: Wrote the guide and built the model.
Quotes: "I owe you a correction. In May 2025 we published a guide to the VC Method..."

5. Operating Insights

Back-solve the exit your ask requires before the partner meeting

Know what outcome your price implies, and whether your deck can defend it. "If your deck can defend a $1.2B outcome, ask for $25M. If it defends $727M, the math lands at $13M, and you should know that before the partner meeting."

Compress your credible path to exit

Timeline is one of the highest-leverage variables in the price. "Shave a year off a credible path to exit and the post-money rises 50%, all else equal."

Model the full cap table and the exit waterfall, not just the current round

Founders can be surprised by what they actually take home after dilution and preferences. The model shows "the cash you take home if the company sells for $100M after you've raised the whole plan. On our default cap table, that last number is $0, and the model shows you exactly why." It also pays out exits "after liquidation preferences" with "1x non-participating preferences applied."

6. Overlooked Insights

Liquidation preferences can wipe out founder proceeds at a mid-size exit

Buried in the model description: on the default cap table, a $100M sale after raising the full plan yields founders $0. That is a striking illustration of how stacked preferences and dilution can erode outcomes at exits many founders would consider successful.

Seed rounds are shrinking in size while Series A rounds are growing

The median seed fell from $3.4M to $3.0M while the median Series A rose from $13.7M to $17.4M. That suggests an increasingly demanding bar at Series A and a widening gap between seed and A, with implications for runway planning and bridge risk.