Bio
Co-founder and CEO of Lovable, the visual-editing AI app builder. Lovable hit 10M ARR in two months with 15 people. Earlier built GPT Engineer, the open-source proof-of-concept (50K+ GH stars) that demonstrated end-to-end app generation from natural language. Operates from Stockholm; vocal advocate for in-office work, Shackleton-style hiring funnels, and weekly bottleneck-reranking over multi-quarter roadmaps.
Operating themes
- Generalists with depth. Hire people who can hold many roles and go deep in one.
- Ambition as filter. Use the job ad to repel the wrong applicants.
- Bottleneck re-ranking weekly. Identify the biggest stuck point, fix, repeat.
- Visual editing as product moat. The agent is leverage; the UI is the differentiator.
Cards
- In an AI-native team, hire generalists with one deep dimension, not specialists — Hire generalists with one deep dimension on AI-native teams [Tier A]
- Use the job ad itself as a self-selection filter for ambition — Write the job ad to repel and attract; first round of hiring [Tier B]
Sources captured
- 2026-04-28 — Lenny's Podcast, "Lovable — the last piece of software" (
raw/podcasts/anton-osika--lovable-ai-engineer--2026-04-28.md)