Anish at Andreessen Horowitz recently shared an internal presentation titled Intelligence is the Primitive. Applications are the Diffusion Layer. One critical note he shared was around models following the economics of the work they're being applied to.

"HappyRobot is the most talent-dense environment I've ever worked at." That's talent density and meritocracy in action - one of six operating principles at HappyRobot. Ability trumps seniority. We reward contribution, not titles or tenure.

📰 HappyNews Hour! 📰 Super excited to announce that @ @HappyRobot we just closed a $150M Series C @ $1.2bn valuation. 🦄🚀 $200M raised in under 20 months across our A, B & C. 5x growth since our B, and we >2x the business last quarter alone. A thread on how we got here 🧵👇

We just raised a $150M Series C at a $1.2B valuation led by Prysm Capital and co-led by @eurazeo. 🦄 Two years ago we deployed one voice agent in a US freight broker. Today, we’ve deployed a full platform in over 150 enterprises globally across supply chain, energy and utilities, telecom, insurance and airlines. 5x growth since our Series B. Some of those incredible customers include @DHLGlobal , @Kuehne_Nagel, @Naturgy, @Repsol, and @Uber. We’re building Enterprise Superintelligence: the state where an organization's collective intelligence compounds as agents and humans learn from one another. And it starts by deploying your first agent. Much like that first agent we deployed two years ago. Thank you Prysm and Eurazeo. And to @a16z, @Base10Partners, and @ycombinator for doubling down. Thank you to the 200 @HappyRobot folks who worked so hard to make this happen. If you need us, we’ll be heads down, building a world where things just work. ▶️ & Thank you to our strategic investors including including @DisruptiveKoch, @orange, (@deutschetelekom), @Bankinter, @endeavor_global, @Kfundvc and Wave-X.

Scaling AI globally across the enterprise means every new deployment can inherit what the last one solved. As AI deployments scale across markets and functions, duplicated logic compounds. Reusable Workflow Components solve this at the source. Prompt components standardize agent behavior across guardrails, tone, escalation logic - imported by every agent that needs them. Node components encapsulate integrations and business logic - configured once, available to every workflow. Workflow functions bundle repeatable sequences into a single callable unit - any workflow can invoke them without needing to know what runs inside. Any updates to the components instantly reflect in all workflows that import them - across every market, every function, every deployment. Every new deployment ships faster. Every market starts stronger.

Spain vs Argentina in a World Cup final. At HappyRobot we deploy agents for the world's largest companies. But this weekend our team pointed that tech at the one thing everyone's talking about. Meet Línea Roja, our most football-obsessed voice agent. Call her up for predictions, line-ups, and a debate about who brings it home tomorrow. 📞 +34 911 679 279 (or +1 361 245 3753) - by default starts in Spanish but feel free to change to English Vamos España! 🇪🇸

@Naturgy is building toward one goal: the best customer service in Europe. A voice AI agent now handles routine technical-service calls end to end - so teams can focus on the moments that need a human. Full case study 👇

GROWTH FOUNDERS: HIRE A NEAR-PEER A portfolio founder approaching $100M in ARR asked me about the single biggest and most impactful hire they can make. I thought for a bit tand said: "Hire a near-peer". In every generational company I've been part of, the founders hired a near-peer, who was essential to the company's success. - Google: Larry and Sergey hired @ericschmidt . - Facebook: Mark hired @sherylsandberg . - Square: Jack hired @rabois . - DoorDash: Tony hired @chrispa - Coinbase: Brian hired @emiliemc Characteristics of a near-peer: 1. They're so good that the founder will be fine reporting to them if the roles were reversed. (Mark has said publicly that he'd be fine reporting to Sheryl) 2. Their strengths perfectly complement the founder's strengths; however, they share many cultural attributes with the founder and pass the founder's airport test, since the founder will be spending a ton of time with them (example: Eric being a Computer Scientist, which was culturally very important at Google back in the day) 3. They're systems builders who have already operated at the scale you're growing into. Pattern recognition on $100M to $1B is not something you build in real-time. A near-peer lets the founder focus on what only the founder can do (product, vision, culture). The near-peer handles everything else. Also, near-peers stay for the long haul. Decade-plus tenure is standard. The reason this hire matters more than any other: after $50M ARR, the bottleneck shifts from product-market fit to organizational scale. The founder is still the visionary. But the company needs someone who has already scaled a company of that size. Most founders wait too long. They hire functional VPs first (Sales, Marketing, Engineering, Finance) and hope the collective covers the gap. It rarely does. A stack of VPs reporting into a founder who has never scaled a company creates coordination overhead, and the founder becomes the bottleneck. The near-peer absorbs that overhead. They turn the founder's vision into daily operating decisions. They give the VPs a leader who has actually run a company this size. Growth founders: if you're between $50M and $300M in ARR and every week feels like a coordination tax, the near-peer is the hire that determines whether you build a $10-100B company or top out at $1B. Start the search now, ideally through warm intros from your venture/angel investors and advisors.

Founder league is now live! Starting today, 100+ founders have opted to share 10 weeks of @WHOOP data. Strain, sleep, and recovery — ranked publicly, updated daily, all the way to Demo Day. Follow along here and on