Lenny's PodcastAmol Avasare: Why 70% of Growth Work Is Firefighting Wins
Through 'success disaster' firefighting and capability-overhang activation; Anthropic's growth team turns hypergrowth chaos into compounding wins.
CHAPTERS
Anthropic’s unprecedented growth curve and what it feels like inside the rocket ship
Lenny sets the stage with Anthropic’s extraordinary ARR ramp (from $1B to ~$19B in ~14 months) and asks what it’s like to lead growth in that environment. Amol describes why the experience is uniquely intense, how normal operating assumptions break, and why “log charts” become the only sensible way to view progress.
Getting hired by cold emailing Anthropic’s CPO: the exact mechanics of a high-performing cold email
Amol расскаnts how he created his own role by cold emailing Mike Krieger before Anthropic even had a growth team. He breaks down how he thinks about cold email conversion—open rates, channel choice, brevity, and persistent follow-up.
What a growth team does at an AI model company—and why it’s still hard
Amol explains that Anthropic’s growth work still maps to classic pillars (acquisition, activation, monetization), but the operating context is different. A major portion of his time goes to handling ‘success disasters’—problems created by things going too well too fast.
Activation is the hardest problem in AI products: capability overhang and the moving target
The conversation dives into activation as the primary bottleneck for AI products. Amol introduces “capability overhang”—models improve faster than products can translate new capabilities into user understanding and repeatable value.
Onboarding lessons from Mercury: quality as a growth lever
Amol shares a high-impact Mercury story: the growth team devoted a full quarter to improving the onboarding experience purely for quality, not metrics. The result was one of his biggest conversion wins, reinforcing that ‘craft drives growth.’
Why ‘the right friction’ increases conversion: quizzes, segmentation, and cognitive load
Amol challenges the default ‘remove all friction’ advice. He argues that friction is good when it helps users feel the product is for them, reduces cognitive load, and enables better recommendations—citing Masterclass, Calm, Mercury, and Claude onboarding patterns.
Anthropic growth org structure: pods by audience + horizontal platforms, ~40 people
Amol outlines how Anthropic’s growth team is organized to support multiple products and audiences. The structure blends audience-focused pods (e.g., Claude Code, API, B2B) with horizontal functions like growth platform and monetization.
Big bets over micro-optimizations: operating for exponentials, not 1% gains
Despite massive leverage from small improvements at Anthropic’s scale, Amol says they intentionally skew toward bigger swings. He links this to AI-first products where the value delivered can increase by 100–1000x, so missing major new markets is costlier than skipping minor optimizations.
CASH: automating growth experimentation with Claude (and what’s already working)
Amol describes Anthropic’s early effort to automate growth experiments—CASH (Claude Accelerates Sustainable Hypergrowth). Claude helps identify opportunities, generate/build experiment changes, test against brand/quality, and analyze results; humans stay in the loop but the trajectory is toward less review.
AI that flags what to do next: from experiment ideas to proactive misalignment detection
The discussion broadens from automating execution to AI identifying what work matters. Amol shares a powerful internal use case: Claude scanning Slack and project context to proactively flag misalignment, risks, and who needs to be involved—reducing cross-functional coordination toil.
Future of PM/engineering/design: engineers get the most leverage, PM/design get squeezed
Amol predicts major role shifts as engineering throughput multiplies with tools like Claude Code. The classic 5 eng : 1 PM : 1 design ratio becomes imbalanced, increasing demand for PM capacity or pushing more PM-like responsibilities onto product-minded engineers.
How work gets kicked off without PRDs: prototypes, Slack-first execution, and targeted kickoffs
Amol explains how Anthropic maintains velocity by minimizing documentation and relying on strong engineers, quick Slack coordination, and fast prototyping. For bigger projects, he emphasizes short, structured cross-functional kickoffs over long PRDs, while using Claude/Cowork to spin up lightweight docs when needed.
Why Anthropic’s focus (coding + B2B) worked: strategy, constraints, and research acceleration
Amol attributes Anthropic’s focus to leadership clarity and necessity as the historically smaller, less-funded lab. Coding was a long-term bet both for commercial value and for accelerating research itself, while early safety choices (like delaying a chatbot launch) shaped the competitive landscape.
Balancing growth with AI safety: red lines, leaving money on the table, and long-term advantage
Amol details how safety is structurally embedded via Anthropic’s Public Benefit Corporation status and culturally prioritized over near-term metrics. He describes a practical framework for deciding which growth tests are unacceptable versus merely “high-ick” and requiring very high upside to justify.
How Amol uses AI day-to-day: chart summaries, admin automation, and AI coaching
Amol shares a set of personal workflows using Cowork: a daily scheduled review of 20–25 charts, automated inbox cleanup and reimbursements, and manager-like coaching. He even generates weekly feedback for himself ‘as if’ from his manager by pulling public writing and internal context.
Culture as the moat: notebook channels, radical transparency, and data for the future
Amol argues Anthropic’s most defensible advantage is culture: high mission alignment, extreme talent density, and openness. He describes internal ‘notebook channels’ as a scalable way to broadcast principles, debate leadership decisions, and create structured context that AI agents can later use.
Failure corner: shutting down a funded startup—and why it became a career foundation
Amol recounts the painful experience of closing his mental health startup after raising money and hiring a team. He stresses the value of honest investor updates, and reflects on how the skills he built as a founder later enabled his growth career.
Traumatic brain injury, recovery, and the operating system that sustains intensity
Amol shares the life-altering story of a TBI from martial arts, nine months off work, and a later reinjury. He explains how the recovery forced healthier constraints—breaks, no caffeine/alcohol, meditation retreats—and how that mindset helps him operate in an exceptionally intense environment.
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