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.