How I Use Claude Code to Scale My $3M/yr SaaS

We've been spending hundreds of dollars per day on AI coding tools like Claude Code, Codex, and Cursor for months. Things that used to take us months, we now do in days. What used to require an agency and tens of thousands of dollars, we now do ourselves. Here are three clear tactics on how we use Claude Code at Supademo.

Tactic 1: Rebuilding Our Entire Website

Our first serious use of Claude Code started with a painful mistake. We had spent over $20,000 across 12 months working with a design agency to move our site from Next.js and React to WebFlow. The goal was to let non-technical team members make edits without going through engineering.

Months past the deadline, we were still unhappy with the output. We were convincing ourselves we'd make it work because we'd already sunk so much time and money. Then we realized: with our whole team on Claude Code, anyone can ship.

How This Changed Our Workflow

Before, shipping a new landing page meant wireframing it, working with a designer in Figma, then waiting for an engineer to build it. Now, one team member takes it from start to finish with Claude Code. All you need is a clear directive, a clear message, and taste for what good looks like.

The coolest part? You can easily build delightful moments , animations, ROI calculators, use case segmentations , things that would have been deprioritized before due to engineering effort. Your website becomes a living product rather than a static asset updated once per month.

Pro Tip: Build an Inspiration Library

Keep a running tally of website sections, components, illustrations, and tools you enjoy using. Feed them into Claude at the right time to replicate the best ideas into your own site.

Tactic 2: Onboarding Segmentation Shipped to Production

Our product Supademo lets you build interactive demos and tutorials in minutes with AI. We had been assuming most new signups already understood that and were ready to jump in. We ran an experiment , and found out we were wrong.

The Audit That Changed Everything

When we audited our data with Claude Code, we discovered a significant chunk of users weren't as educated about the product as we thought. They were signing up, diving in, and not knowing what they were doing or what was possible.

So we segmented onboarding into two buckets: people ready to create right away, and people still exploring. Instead of throwing everyone into the same flow, we added routing steps where users either jumped straight into creating or got sent to our example gallery and tutorials.

The Results

Half of our users were ready to go and started recording immediately. But the other half didn't know where to start. Out of every 10 signups, 3 voluntarily chose to go through tutorials first , that's over 2,000 real people who would have been thrown into a blank canvas with no idea what to do.

Within that segment, half completed the entire tutorial. That might not sound like much, but most onboarding flows are lucky to get people to read a single tooltip. Activation increased by over 30%, and we saw a huge lift in free-to-paid conversion.

Tactic 3: Building Our Entire Learning Academy in One Week

This is the highest-leverage use of Claude Code I've found, and I haven't seen anyone else talk about it. We rebuilt our entire learning academy in just over a week.

What We Built

Before, a new user would sign up, poke around, maybe watch random YouTube videos, and hope they figured it out. Now they land in a structured learning academy with outcome-based courses , like building a demo leave-behind, creating a website demo, or cloning a sandbox environment.

The setup lets users choose to watch a video, click through an interactive demo, or just read content. The entire experience is gated via login, so we control who sees what and get analytics on engagement.

Previously, this would have taken a traditional dev team months to implement or thousands of dollars to buy off the shelf. We built it in under a week.

How Our Team Operates Now

Before Claude Code, I was the bottleneck on anything that touched the website or involved a product-related growth experiment. Every change went through engineering or product, which meant delays, fighting for prioritization, and ideas that never got tested.

Now, anyone on the team can iterate, experiment, and ship daily. We went from a handful of experiments to running 3–4x as many with faster variations on each one. As a founder, I get to go back to builder mode instead of just managing and waiting.

The Numbers After 2 Months

We're averaging hundreds of dollars in daily spend across all agentic tools , which tells you how embedded it is. Engineering productivity and shipping velocity is up over 35%. And we're running 10x more growth experiments with faster iterations on each one.

The Reality Check: AI Speed ≠ AI Quality

I want to be clear: the speed you get with agentic tools is incredible, but keeping momentum going past the early stages is a different story. AI cannot replace the depth of knowledge a team builds over years of working on the same product.

It needs your taste, your restraint, and your context of what's actually important. The hundreds of small decisions that go into making something reliable. The constant scoping and improvement that happens sprint by sprint. The support experience that keeps customers around after the first version ships.

A great product isn't defined by how fast the first version was built. It's defined by the hundreds of small fixes, iterations, and improvements nobody ever sees. That compounds over time into something genuinely hard to compete with.

If Your SaaS Only Exists Because It Was Hard to Build One, Watch Out

Anyone can spin up a competitor now. Anyone can ship fast. But if you're obsessed with making your product better, well-supported, and more reliable day in and day out , closer to what customers actually need every single month , you'll be just fine.

Tools like Claude Code help you move faster. But the commitment to doing the difficult, unsexy work still has to come from you.