20VC Newsletter - 16th November 2025

Why It Matters

These insights reveal how venture capital is adapting to faster capital cycles and AI‑driven economics, reshaping deal structures and valuation standards across the tech ecosystem.

Key Takeaways

• Mega funds prioritize speed over early‑stage check size
• AI firms need gross‑profit multiples, not revenue multiples
• Palantir's >120x revenue signals imminent valuation correction
• Diversified funds favor smaller checks, more deals
• Founders should share data with multiple investors early

Pulse Analysis

Venture capital is undergoing a strategic pivot as mega‑funds like General Catalyst and Lightspeed double‑down on capital velocity. Rather than dispersing capital across numerous seed rounds, these firms are writing billion‑dollar checks that prioritize rapid deployment and large equity stakes, betting that outsized returns will stem from high‑growth unicorns such as Databricks. This shift also forces a re‑examination of valuation frameworks, especially for AI‑app companies where inference costs dominate cost of goods sold. Analysts are moving away from traditional SaaS revenue multiples toward gross‑profit multiples and absolute profit per customer, a nuance that could reshape pricing and exit expectations for AI startups.

The market correction narrative is equally compelling. Palantir’s current valuation—exceeding 120 times revenue despite 60% quarterly growth—has raised red flags among investors who anticipate a pull‑back within the next two years. Simultaneously, the AI landscape is consolidating around giants like OpenAI, projected at $500 bn, while challengers such as Anthropic target niche B2B segments. In this environment, the differentiating factor for venture success is founder quality. Both Rory O’Driscoll and Jason Lemkin argue that as copy‑paste ideas fade, the ability to identify and back exceptional founders becomes the primary moat for funds.

Fund structure and fundraising processes are also evolving. Longer exit horizons and heightened risk have prompted many firms to broaden diversification—making smaller checks across more deals to preserve ownership percentages. On the founder side, the traditional emphasis on exhaustive data rooms is giving way to a leaner approach: investors often prefer a concise diligence packet and a quick commitment before deep data dives. Moreover, founders are advised to circulate key metrics to a broader investor pool early, avoiding the bottleneck of a single‑investor funnel that can prematurely stall a round. These trends collectively signal a faster, more data‑driven, and founder‑centric venture ecosystem.