n 2022, I set out to solve a problem I kept seeing in the AI space: there was no easy way for everyday users to explore generative AI or spin up their own use cases without writing code. Most tools felt too technical or too generic. So I designed Quasi Market, a web app that let people create, host, and share niche generative AI tools in just a few clicks.

The idea was to give AI enthusiasts a sandbox — a place to explore what AI could do across different domains, from storytelling and design prompts to productivity tools and language games. I designed the interface to be as simple as possible. No onboarding walkthroughs, no fluff — just inputs, outputs, and clarity. By July 2022, Quasi Market had over 11,000 users and more than 100,000 creations across thousands of community-made use cases. Feedback consistently highlighted how intuitive and fun it was to use.

I also A/B tested multiple landing pages to better understand what messaging resonated with new users. These tests helped shape how we positioned Quasi Market to different audiences — hobbyists, builders, and educators alike.

Looking back, this product had real traction and should have been our primary focus. But like many early-stage teams, we got distracted chasing “bigger” ideas and lost steam. Quasi Market taught me the importance of momentum and the cost of not doubling down when something is working.