I created RvTrack.app on my own. No client, no brief, just a real problem I wanted to solve. I used AI to move faster and stay focused. ChatGPT helped with logic, queries, and structure. Lovable helped me shape the interface. Supabase gave me a solid backend. Heygen helped turn walkthroughs into explainers.
The product itself is simple. A clean dashboard to manage RVs, units, customers, leases, and maintenance status. No noise. Just the features they actually need. I used Supabase for the backend, custom RPCs for safe transactions, and strict row-level security to keep everything in check.
Everything was built from the ground up. Every click, every flow, every bit of copy, evey line of code, made with AI. I focused on clarity and shipped the first version fast. Then I kept improving it based on feedback from real users.
RvTrack.app is live. It works. And it’s already saving people time. This project let me combine speed, autonomy, and AI to build something useful without overthinking it. That’s what I’m most proud of.
RV storage businesses don’t need much. Just a way to manage what’s available, who’s renting what, and when. But the tools they’re using make it harder than it should be. Most systems are bloated, slow, or built for something else entirely.
There was a clear need for a tool built around their real workflows. Not software designed for another industry and forced into their routine. Something specific, direct, and easy to trust.
I started by talking to storage managers to understand their routines. Most used manual processes, a mix of paper notes and spreadsheets, and nothing synced across devices. That gave me a clear direction: the product had to centralize everything: units, leases, customers, RVs, and maintenance, all in one place. Most of the software out there was built for short-term bookings, RV campgrounds, or general storage units, not for long-term RV storage. Nothing matched their actual needs.
I used ChatGPT throughout the build. It helped me break down logic, test edge cases, and move fast on backend setup. Lovable helped shape the UI, structure screens, test patterns, and speed up frontend decisions. Supabase handled auth, file storage, and database structure. I created custom RPCs to keep transactions safe and added strict row-level security from the start. Every decision was mine. AI helped me make them faster.
RvTrack.app was built to do one thing well: help RV storage managers run their operations without friction. The dashboard gives a full view of every unit, lease, customer, and maintenance task. Everything is synced, clean, and reliable. I didn’t pack it with unnecessary features or visual noise. I focused on the core tasks they do every day and made them easier to complete.
The product is already live and in use. Managers are saving time, avoiding double bookings, and staying on top of their storage business with less effort. That’s the real measure of success.
This wasn’t about reinventing the wheel. It was about building something that actually fits the job — grounded in real routines, tested with real users, and shaped by decisions I made end to end.
