In this channel's material, vanity metric comes up in the interview with Karri Saarinen, cofounder and CEO of Linear, where the conversation explores what a pre-AI-era SaaS company's choices reveal about measuring AI work and product strategy. The term serves as a caution label: numbers that make a team or product look successful on the surface—counts, adoption figures, activity tallies—can flatter the dashboard while saying little about whether the work actually created value. When the discussion turns to rebuilding Linear as an agent-native platform, the underlying question is which measurements reflect real judgment and progress, and which are merely comfortable to report. Exploring this distinction helps you understand why teams rebuilding for AI can't simply carry over the metrics that made pre-AI SaaS look healthy.