Your current workflow
Starting from scratch on every new client project
Losing weeks setting up infra and plumbing
Struggling to switch or debug across projects
With the Launchpad
Reusable foundation you can use for every project
Core infra already wired up, no wasted setup time
Standardized structure makes switching and debugging easy
What's included

I was stuck at $50/hour for 3 years. Now I'm at $125/hour, and one of the projects I'm doing, I would not have been able to do without the GenAI Launchpad. It provides the MLOps infrastructure we can use for all projects. The stuff I didn't even know I needed. Having that production-ready architecture makes it much easier to reach for bigger projects and talk more confidently in sales calls. It's the safety net that lets me do cooler, more impactful work.
Adam Murphy
AI Engineer
Here’s a quick look at what you can expect when you use Launchpad to deliver results faster – and get paid sooner.
Pricing
Licence
$497
Get immediate access to the complete codebase and learning resources
Complete GitHub codebase
Unlimited lifetime access
Practical documentation
Step-by-step video guides
Ongoing product updates
Engineer support community

500+ reviews
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How it works
Download the stack
Instant access to the full GitHub repo – your reusable foundation for every client project
Build your AI logic
Follow the step-by-step videos, connect your data sources, and adapt the stack to your needs
Deploy & deliver
Go live with confidence in hours. You deliver results (and invoices) faster
We still get a lot of questions about what exactly the GenAI Launchpad is, and that makes sense. It’s hard to compare because there’s nothing quite like it. Most developers try to map it to a framework, a course, or a boilerplate, but Launchpad sits somewhere in between: a complete production-ready AI starter kit that gives you everything you need to build and deploy real AI applications.
It includes a FastAPI backend, task queue and workers, vector database, Postgres, authentication, file processing, background jobs, evaluation hooks, and Docker deploy scripts. Everything is wired together and ready to ship. It’s opinionated but flexible, designed to save you weeks of setup while still giving you full control.
If you’re looking for mental models, think of it as a mix between a clean FastAPI boilerplate, a Celery and Redis worker setup, Supabase + RAG, and a starter MLOps scaffold. We built it because we couldn’t find a single stack that brought all of that together in a way that actually worked for LLM-based systems.
FAQ
GenAI Launchpad
Join 350+ AI builders already using Launchpad to skip the infra grind and ship client-ready projects with confidence







