They had to deal with it so quickly/early and with such immense implications that this might be a paradigm shift in terms of how such AI companies approach hiring - like chess prodigies learning to think 20-30 moves ahead. While other scale ups hire to solve their current problems, Lovable had to already think about the endgame. That’s why hires from Kaviyo/Hubspot, that’s why 1bn ARR in 3 years.
Great breakdown, Adam, your map of the AI GTM stack is crystal-clear.
A nuance we keep running into: once volume is commoditised, the real edge becomes how the agent reasons, and how plainly a rep can audit that path. Lightweight neuro-symbolic layers plus instant explainability seem to build trust without slowing the flywheel.
Are you seeing the same shift from “more outreach” to “transparent-better outreach”?
We anlysed the GTM leadership team of Lovable
They had to deal with it so quickly/early and with such immense implications that this might be a paradigm shift in terms of how such AI companies approach hiring - like chess prodigies learning to think 20-30 moves ahead. While other scale ups hire to solve their current problems, Lovable had to already think about the endgame. That’s why hires from Kaviyo/Hubspot, that’s why 1bn ARR in 3 years.
https://thebigbyte.substack.com/p/how-lovable-is-building-its-gtm-leadership
Great breakdown, Adam, your map of the AI GTM stack is crystal-clear.
A nuance we keep running into: once volume is commoditised, the real edge becomes how the agent reasons, and how plainly a rep can audit that path. Lightweight neuro-symbolic layers plus instant explainability seem to build trust without slowing the flywheel.
Are you seeing the same shift from “more outreach” to “transparent-better outreach”?
great write up