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Building AI-powered business systems that automate operations, streamline workflows, and solve real business problems. Currently developing SAY-OS, an AI operating system for beauty and healthcare businesses.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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The biggest mistake startups make?
Building features nobody asked for
I help founders validate ideas first, then build production-ready AI products using.
⚡ Lovable
⚡ Claude Code
⚡ GitHub
⚡ Rork
Build less.
Launch faster
Grow smarter
What's one problem your business needs AI to solve?
Everyone is talking about AI.
Very few are actually building with it.
The opportunity isn't in using AI once.
It's in creating tools that solve real business problems every single day.
The builders who start today will have the biggest advantage tomorrow.
What are you building?
Hype, hype and hype... It's the first page of the notebook that I write in tells me.
I was building automated workflows around Signalwatch, and it got me thinking about all the hype.
Hype around just one piece of the puzzle, LLMs. They just predict the next word while generating... No magic.The better they are trained, the better the output. Super helpful in a lot of contexts...
Tool calling. Helpful, but if LangChain and RAG + LLMs, for example, are not included where appropriate, ta ta, bye bye.
Automation. Someone bringing me a glass of water, for example, isn't something to be automated or waste resources or tokens on...
This brings me back to structural understanding, especially python + machine learning basics where you train a model based on a small piece of dataset you download from hugging face, for example... a lot becomes clear here
