GTM OpsHello OperatorVictor's pick
Make Friends With Your Market
useful booth manning advice
GTM OpsSaaStr — Jason Lemkin
5 Interesting Learnings from Klaviyo at $1.2 Billion in ARR: 32% Growth, 110% NRR, and Somehow Only 4x Revenue
Why I picked this
SaaS dead, dying or underpriced? Feels like a stock pickers market with attractive opportunities to me
market-consolidationrevenue-platform-consolidationback-to-basics-gtmplg-to-sales
“4-5x forward revenue for a business growing 30%+, with expanding margins and $1 billion in cash. Something is off. Or is this the New Normal?”
Key takeaways
- Klaviyo trading at 4-5x revenue despite 32% growth, 110% NRR, and profitability—potentially most mispriced public B2B company or signal of 'New Normal' for SaaS valuations
- NRR improved to 110% while scaling to $1.2B ARR by doubling $1M+ ARR customers and growing $50K+ customers 37% YoY—rare upmarket expansion success at scale
- International revenue grew 42% YoY and now represents 33%+ of business, breaking 'Shopify add-on' narrative with regional hubs in Dublin and Singapore
Why this matters for operators: Companies evaluating public market readiness, SaaS valuation benchmarks, upmarket expansion strategies
I cover AI×GTM intelligence like this every Wednesday.
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Human-AI IntersectionTechCrunch AIVictor's pick
Meet Shapes, the app bringing humans and AI into the same group chats
this is just ...cool?
- Shapes is positioning as 'Discord with AI characters' - group chat with AI participants
- Represents emerging category of AI-as-peer vs AI-as-tool
- Insufficient detail to assess product-market fit or GTM relevance
ai-collaboration-toolsconversational-aihuman-ai-interaction
AI Developmentn8n Blog
Human-in-the-Loop vs. Human-on-the-Loop: When To Use Each System
- HITL (human-in-the-loop) requires human approval before AI executes critical actions - synchronous control pattern used for high-stakes decisions, compliance requirements, and low-confidence scenarios
- HOTL (human-on-the-loop) allows AI to execute autonomously while humans review results and adjust parameters - asynchronous pattern for scalable operations with exception-based oversight
- Framework applies across use cases: loan approvals, customer emails, social posts, fraud detection, and compliance workflows - choice depends on risk tolerance, regulatory requirements, and operational scale needs
automation-stacksai-policyhuman-first-sales
This analysis was produced using the STEEPWORKS system — the same agents, skills, and knowledge architecture available in the GrowthOS package.