Super.com hits $200M+ in revenue, shares Lean AI playbook

It's official: Super.com hit $200M+ in annualized revenue with just over 200 employees and is the first scale-up to join the Lean AI leaderboard. To celebrate this record-breaking milestone, I am giving away our Lean AI at Scale playbook that made it possible. We started Super.com 9 years ago, when AI was just a buzzword. Back then, we scaled the traditional way: hiring more people to solve more problems across 5 different industries. We launched products that seemed impossible to scale efficiently. But everything changed when we adopted AI systematically across our operations, as our latest product alone went from $0 to $100M ARR in just 2 years. I have seen most AI transformations fail because companies treat it like a tech project instead of an operational overhaul. That's why 9 out of 10 scale-ups and growth-stage companies waste months (and millions) on AI initiatives that deliver zero ROI. But there's a better way. We cracked the code on systematic AI adoption at scale... This is what happened when we systematically implemented AI across every department: • 40% of customer support now runs on AI • Millions of incremental revenue from AI-optimized pricing • $290k saved annually on SEM optimization • 50% increase in code output with the same headcount • No two users will see the same app thanks to AI personalization • 25% of Cursor sessions are initiated by non-software engineers As a result, we achieved something most thought impossible: $200MM+ in annualized revenue with just over 200 employees. Now, this playbook was originally created for our internal team and board discussions only. But after seeing so many scale-ups and growth-stage companies struggle with AI implementation, I decided to share our complete operational blueprint. Because if you are serious about staying competitive, you need to see how AI-first companies actually operate. So I'm giving away our complete Lean AI at Scale playbook that includes: • Our proven 3-pillar framework for AI adoption • Product integration strategies with real performance data • Customer support automation blueprint (49.8% reduction in agent contacts) • Revenue optimization through AI pricing strategies • Cross-functional AI adoption • Internal AI platform setup and governance policies • Measurement frameworks and ROI tracking methods Want the complete playbook? - Like and share this post - Comment "Scale" - Follow me (so I can DM) I'll send you the link ASAP (I am sharing everything with full transparency). Shout-out to our CEO, Hussein Fazal and CTO Ryan Fox, for helping me bring this playbook to my readers.