Technology · Deployment
A Data Scientist Built a Travel Gym Tracker from One Conversation
A gym finder with real-time crowd alerts and mobile + desktop UI generated together. 500+ lines of code through natural language, deployed at the AI Impact Summit.
AnkitHBO Max · Delhi
The Problem
Staying consistent at the gym while traveling is a problem with several pieces: finding a gym near the hotel, knowing whether it has Wi-Fi, knowing how busy it is before going, and building enough accountability to actually go. No tool handles all of these. For someone who travels and trains often, the friction adds up.
Ankit wanted an app that surfaced nearby gyms in any city, flagged crowd levels in real time using traffic data, and kept him accountable through notifications tied to his workout activity. Personal, specific, built around his habits. Not a generic fitness app.
The Build
We took the idea and turned it into a working, deployable product in one conversation. No manual coding from the builder.
The output: a fully responsive interface with mobile and desktop layouts generated together, a GitHub deployment button from the first preview, and 500+ lines of functional code written through natural language. AnyWhereGYM is live and Ankit is using it.
“I just got 500 lines of code written. All jokes aside, this is actually quite fantastic. I love the fact that it has both the mobile UI and the laptop UI at the same place.”
Ankit · HBO Max
Highlights
- Gym finder with real-time crowd alerts, built and deployed at the AI Impact Summit in Delhi
- Mobile and desktop UI generated together, ready across devices
- 500+ lines of working code through natural language, no manual coding
- Deployed to a live URL via GitHub in the session; in use by the builder
Builder profile
Ankit is a Data Scientist at HBO Max who calls himself a converted vibe coder. He came to natural language development as a programmer with reservations, skeptical that building through plain language could meet the standards of someone who writes code professionally. By this session, he'd used most of the major tools in the space and arrived with a clear, specific idea.
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