Key Takeaways

  • Venky Ganesan at Menlo Ventures treats early AI checks as option bets rather than ownership-maximizing mandates, accepting high entry prices simply to buy a seat at the table.
  • Traditional ownership targets fail during platform shifts because round velocity and valuations move too fast for rigid seed-stage percentage rules.
  • Once hard metrics confirm a company is an outlier, Menlo ladders capital concentration up to 20% of a fund into that single position, as seen with Anthropic.
  • Venture returns shift from an ownership game to a money movement game once real usage and revenue velocity prove out terminal value.
  • Investors and founders must evaluate early stage financing through The Two-Stage Venture Option Laddering Model.

The Two-Stage Venture Option Laddering Model

Stage 1: Seed Option Bet

Make smaller, price-insensitive initial investments to secure a seat at the table and proprietary access to company information across a wide set of opportunities.

Stage 2: Quantifiable Outlier Verification

Evaluate actual usage, revenue velocity, and terminal value potential rather than speculative markups to confirm outlier status.

Stage 3: Position Size Concentration

Ladder up capital aggressively into verified outliers, concentrating up to 20% of the fund into winning positions to capture asymmetrical upside.

When This Works (and When It Doesn't)

This model applies when high entry prices and rapid round pacing make traditional ownership targets difficult at the inception of high-upside market platform shifts. When markets move this fast, insisting on 20% ownership on day one prices investors out of top teams. As Ganesan explains: “We are trying to buy ourselves a seat at the table and the cost of buying that seat at the table we're somewhat indifferent to at the seed stage, because our real goal is to size up and invest in them if they become outliers.”

Prior to outlier confirmation, investors focus on ownership. But once a breakout occurs, the strategy shifts. As Ganesan notes, “Prior to it being an outlier company, you have to be in the ownership game. Your best situation is you're in the ownership game in outlier company and then because out then you go into the money movement game.”

The model fails in mature software markets where revenue growth is predictable and multiples are compressed. If a market lacks massive power-law outcomes, paying high seed prices without securing heavy initial ownership damages fund returns. If the outlier never materializes, an investor holds tiny slices of overpriced seed rounds with zero follow-on conviction.

What to Do With This

If you are raising a seed round this month, stop screening venture firms solely on how much equity they demand. Structure your cap table around investors capable of laddering up their capital.

First, check whether your prospective seed leads have large reserve pools or separate growth funds. Ask them directly what quantifiable usage metrics and revenue run-rates trigger their super pro-rata checks in subsequent rounds.

Second, open smaller allocations to multi-stage funds looking for a seat at the table. Ganesan emphasizes that “the way you're going to win is you're going to establish a position and then size up as a company does well so that you have sized it commensurate to the outlay opportunity.” Give those funds an entry check, share clean usage data monthly, and let them compete to lead your Series A when your growth metrics verify outlier performance.