A 60-person team, an independent P&L, and a hybrid seat-plus-usage model. How Vercel's AI product runs experiments at startup speed inside an established company.
How AI-Era SaaS Proves Value When Outcome-Based Pricing Fails
Pricing leaders from Gong, Iterable, HubSpot, and Aurora Solar on why defining "outcomes" fractures across customers, and how to price closer to value anyway
Usage-based pricing kills exploration. Slite's co-founder on building a pricing model that protects margins without making users hesitate before every query.
Adding AI Features? Your Billing Stack Wasn't Built for This.
When every interaction burns compute, your infrastructure needs to track usage, manage entitlements, and run experiments without engineering bottlenecks.
Gorgias CFO Kunal Agarwal on 300 million conversations, 350% AI growth, and the moment one feature cost $4 per interaction. What every finance leader should learn before scaling AI.
Krish Subramanian on why billing should be invisible when it works, the rebuilds that scale to IPO, and the discipline behind Chargebee's Leader position in Gartner's Magic Quadrant.
Pricing Is Product: Field Notes from Vercel, Clay, and Miro
Three operators on why monetization is now inseparable from the product itself, from seat minimums and credit redesigns to spend visibility and agent-influenced buying.
Forrester's Lily Varon on why pricing has to move at the speed of your product, and the four signals that tell you outcome-based pricing is actually a fit.
1 million usage events processed in 25 seconds. The architecture, tradeoffs, and design principles behind Chargebee's usage engine, built for the volatility of AI.
How SaaS companies prove value when "success" means something different to every user, with insights from pricing leaders at Gong, New Relic, HubSpot, and Apple Ads.
