From Optician to $62k MRR in 3 Months: AI Code Editors Reshaping SaaS
A case study of a founder using AI code editors (Claude) to build a SaaS product from zero to $62k MRR in 3 months, highlighting productivity gains and the changing economics of solo founder development.
The story of Cameron Trew and Kleo (kleo.so) illustrates how AI code editors are enabling solo founders to outbuild entire teams.
Key insights:
- Built MVP in 4 weeks using Claude Code vs. estimated 10-12 weeks without AI (60-70% time savings) - Stack: Next.js, Vercel, Neon, Inngest, Clerk - all AI-augmented - Distribution-first: leveraged cofounder's 180k LinkedIn followers, no ads or Product Hunt - 500 beta spots at $59-79/mo sold out in 4 days - $62k MRR by month 3, on track for $300k MRR
The AI-native stack he used: - Claude Code for primary coding - Claude Vision for document analysis - Vercel AI SDK for chat interfaces - PostHog + Langfuse for observability - Deepgram for voice-to-text - Perplexity API for web research
This isn't "AI wrote my code, I went to the beach." It's "AI gave me leverage, I focused on architecture, user empathy, and distribution."
For solo founders, this changes everything. What would have cost $10k/mo in engineer salaries 5 years ago now costs $100 in infrastructure + 1 highly-leveraged founder.
What are you building with AI code editors?