The venture narrative focuses on 'slope' (rapid growth) but often misses the value of 'area under the curve' companies. These startups, like Figma, may have a slower growth story as they build deep moats. This long-term focus can create more durable value than high-slope businesses with weaker defensibility.

Vanity metrics like total revenue can be misleading. A startup might acquire many low-priced, low-usage customers without solving a core problem. Deep, consistent user engagement statistics are a much stronger indicator of genuine, 'found' demand than top-line numbers alone.

It's possible to raise significant late-stage funding without revenue if you can demonstrate deep, sticky product love from a valuable user base, like developers. For investors like Sequoia, proving you've captured a hard-to-win market can be a more compelling signal than early revenue metrics.

Initial data suggested the market for design tools was too small to build a large business. Figma's founders bet on the trend that design was becoming a key business differentiator, which would force the market to expand. They focused on building for the trend, not the existing TAM.

When Figma started, VCs deemed the designer market too small. While this made fundraising harder, it also meant fewer competitors rushed in. This perceived niche gave Figma the time and space to build a complex, defensible product before the market's true potential became obvious to everyone.

DFJ Growth passed on a pre-revenue LinkedIn at a $1B valuation because they lacked a clear revenue signal. This highlights a common VC pitfall: over-indexing on current financial metrics and under-valuing powerful network effects and analogous, proven business models from other tech giants.

During a period of slow sales, founder Ryan Anderson relied on internal usage metrics to stay motivated. He saw that individual customers were using the product more heavily over time, even if new acquisition was slow. This data provided the confidence that he was building something valuable.

Figma delayed monetization to accelerate growth. However, enterprise customer Microsoft stated they couldn't depend on critical free software that might go out of business. This customer pressure was the catalyst for Figma to implement a pricing model, proving viability is key for enterprise adoption.

Despite Figma's massive success, Dylan Field considers their long pre-monetization period a mistake. The company started in 2012 but didn't earn its first revenue until 2017. He strongly advises founders against this path, emphasizing the need to ship and learn from the market more quickly.