Every professional I knew in 2025 was talking about AI. Reading about it, watching demos, sitting in presentations. Most of them were smart, experienced people with real domain knowledge — doctors, lawyers, operators, founders. And almost none of them could actually build anything with it.
That's not a capability problem. It's a format problem. The courses available were online, self-paced, and designed to teach concepts. They were optimized for completion, not for shipping. The thing that actually moves someone from "I understand AI" to "I built something with AI" is building something, with other builders, under real deadline pressure.
I'd seen this work before. The original MakerSquare — the coding bootcamp I ran in Austin years ago — proved that immersive, in-person, project-based learning changes what people are capable of. That model produces builders. So the question became: what would that look like for AI, right now, for the professionals who need it most?
The 2-week format is not a compromise. It's the design. Long enough to ship 3 real products and build genuine momentum. Short enough that most professionals can take it without putting their life on hold.
The no-coding-required decision was also intentional. The most valuable AI builders aren't always the ones who know Python — they're the ones who know the problem deeply. A healthcare administrator who understands a patient intake workflow builds something more useful than an engineer guessing at it. We give domain experts the tools to build what only they can see needs to exist.
Demo Day is the proof of concept for everything. When a builder presents a live AI product in front of Austin's tech community on Day 14 — after arriving with no technical background on Day 1 — that's the argument. That's the product.
Watching demos doesn't make you a builder. Shipping something does. The program ends when your product is live at a public URL — not when you finish a module.
Your industry expertise is not something to work around. It's your edge. A tool built by someone who lived the problem is better than a tool built by someone who read about it.
In-person, immersive learning produces different results than online, self-paced learning. Not always. But when the goal is to ship a product, the room matters.
We show you exactly what you'll build, what it costs, and what you'll walk away with before you pay a dollar. No admissions pressure, no income share, no fine print.
Ravi co-founded and scaled Heap, the product analytics platform, from YC to enterprise — an operator who understands what it takes to go from idea to product to scale. His perspective on how non-technical professionals can use AI to build real leverage shapes how we think about the curriculum and who MakerSquare is for.
Additional advisors from Austin's operator, investor, and AI community are being assembled for 2026.
MakerSquare is embedded in the Austin builder and operator community — the same network that shows up to Demo Day.