Your AI Startup Growth Path
Based on what we've seen with similar AI startups, here's how your infrastructure needs will evolve — and how to stay ahead of them.
How an AE would use this: Send to a new user in the AI startup segment who is seeing results and has Enterprise potential. "I put together a growth map for you to help scale as your business grows."
Where You Are Now
Quick Wins (Next 30 Days)
Low-effort, high-impact moves you can make this week
Enable Image Transformations
Serve thumbnails on-the-fly instead of storing 5 sizes of every image. At 500 images/day, you're storing ~18GB of redundant thumbnails.
Add "More Like This" Search
Vector similarity search lets users find images like ones they've created. With 1K users, this drives significant engagement.
Sync Stripe to Your DB
One-click sync gets payment data into Supabase. At free tier with ~$500 MRR, you can recover churned revenue automatically.
90-Day Growth Plays
At 3K users (1.5x growth rate), these become high-leverage
Launch Your API
Expose image generation as an API for developers. Edge Functions handle auth, rate limiting, and billing integration. With a 2-person team, you can support 10% API adoption.
Batch Processing Off-Peak
At 500 images/day, your compute bill is ~$30/mo. Queue non-urgent generations for off-peak hours when compute is cheaper.
Live Generation Progress
With 1K users generating 500 images/day, you're getting ~20 "is it working?" tickets/month. Real-time progress kills these.
"250 Users Creating Now"
Show live user count creating images. At your traffic levels, this social proof could boost landing page conversion significantly.
Enterprise Readiness (6-12 Months)
At 12K+ users, enterprise clients come knocking
Unlock Enterprise Sales
Handle Scale
The Platform Play (If You Want to Go Big)
Become the "Canva for X" — let others build on you
Supabase for Platforms
White-label Supabase for your customers. At 38K users, you could support ~75 workspaces.
Analytics Buckets + ETL
Store all generation data in Analytics Buckets (Apache Iceberg). At 500 images/day, that's 180K data points/year for ML.
This is how I sell.
Not slides. Not generic demos. A growth map built for YOUR business.