Shackleton-Style Team Building
by Anton Osika • Co-founder and CEO at Lovable
Former CTO at a YC startup, creator of the open-source tool GPT Engineer, now building the 'last piece of software' with Lovable.
🎙️ Episode Context
Anton Osika shares how Lovable, an AI software engineer, reached $10M ARR in two months with a team of 15. He discusses the 'scaling laws' of AI reliability, his intense 'Shackleton-style' hiring philosophy for finding 'cracked' engineers, and the evolution of product building from MVP to 'Absolutely Lovable Products' in an age where coding is democratized.
Problem It Solves
Filtering out candidates who treat the role as 'just a job' or a 'passenger' seat in a hyper-growth startup environment.
Framework Overview
A high-intensity hiring filter inspired by Ernest Shackleton's Antarctica expedition advertisement. It explicitly discourages those seeking comfort and attracts obsessive, high-agency generalists who thrive on urgency and difficult missions.
⚖️ Best Practices
Do This
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Avoid This
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When to Use
When hiring for early-stage, high-growth companies tackling unsolved technical challenges.
Common Mistakes
Hiring for specific narrow crafts instead of generalist agency; failing to set expectations about intensity upfront.
Real World Example
Lovable grew to $10M+ ARR with just 15 people by hiring 'cracked' engineers who act as owners and thrive in a chaotic, ambitious environment.
Long hours, high pace, candidates must thrive under a high urgency under AGI timelines approaching... those seeking comfortable work need not apply.
— Anton Osika