Altimeter's Jamin Ball on why Figma's S1 shows the best rule-of-40 profile in public software — and the AI risk question

Summary

Figma's S1 reveals what Jamin Ball, partner at Altimeter Capital, calls the strongest rule-of-40 profile in public software. The company is growing at 49% while generating 28% free cash flow margins, producing a combined rule-of-40 score around 77, the highest among the roughly 80 public software companies Ball tracks. For context, the median growth rate across that basket sits at just 14%, making Figma's profile a structural outlier at a moment when high-growth public software has largely dried up. The last meaningful software IPO before Figma was ServiceTitan, which priced in late 2024.

Figma is expected to price on Wednesday and begin trading the following Thursday. With annualized revenue approaching $1 billion, it enters the public market at a scale that few software IPOs achieve while still sustaining this growth rate.

The Adobe fallout as an unexpected asset

The collapsed Adobe acquisition — which produced a roughly $1 billion breakup fee for Figma — is now readable as a net positive. Beyond the cash, the failed deal appears to have forced operational discipline, including a notable pivot in pricing and billing strategy almost immediately after the deal fell apart. Ball argues that most companies don't recover from that kind of acquisition limbo, pointing to the talent and customer retention risks that accompany prolonged uncertainty. CEO Dylan Field and the leadership team navigating that period and emerging with stronger financials is, in Ball's view, a meaningful signal about execution quality.

The AI risk question

The core bear case — that AI-generated UI eliminates the need for design tooling entirely — is taken seriously but ultimately rejected. Ball draws a direct parallel to how Figma displaced Sketch, a tool so embedded in designers' workflows it was effectively the Excel of the design world. The shift happened anyway, and Ball's argument is that Figma's management is acutely aware they cannot afford to be on the wrong side of a similar transition.

The more constructive framing is a TAM expansion argument. Early Figma investors underestimated addressable market by counting only professional designers. The product ultimately pulled in product managers and engineers, expanding the user base well beyond initial projections. Ball applies the same logic to AI, suggesting the relevant comparison for valuing Figma's AI upside is not the current designer seat count but the broader universe of people who could use AI-assisted design tooling — a materially larger number. The analogy he draws is to coding tools like Cursor or Windsurf, where the right TAM framing may be average software engineer salary times total engineers, not $20 monthly seat fees times a narrow developer count. If Figma captures that expansion, the addressable market grows significantly.