Announcement: ConCourses enters WIP state - demo coming soon.

ConCourses is a new web app I'm developing to help simplify the food choice process at the airport. I aim to launch a demo of the app sometime in March!

I write this from O'Hare International Airport somewhere deep in the K gates, waiting to board a delayed flight. The dining situation here is pretty dire - think dilapidated mall food court - so the app demo will focus here first.

We've all been there: you have a 2-hour layover - all you know is that you'll be hungry, but rarely do you have any idea if there will be any options near your gate that satisfy your taste and dietary preferences. ConCourses is designed to make this decision as simple as entering your flight number into the app. It will do the rest.

ConCourses will fetch live flight data to determine what gate you will land at. It will scour the airport's concessions directory and cross-reference with Google Maps. Then it can calculate which restaurants are conveniently walkable from your gate. If you have a connection to make, it can even estimate what kinds of food you'll have time to grab within your allotted time, while considering congestion factors, lines, and user reviews.

Confession: This is not a new idea, nor is it a particularly good one. This project is a learning opportunity for me. I'm experimenting with the Google Antigravity IDE, using AI agents to do all the work. I will be posting regularly on this site with updates about how the process is going.

Is this monetizable? In theory. The business model is freemium B2B, where restaurants can advertise and share promotions with travelers. We can introduce an explorer/badge system, where you can redeem rewards for visiting certain restaurants. Imagine the status you'd achieve for having visited every Wolfgang Puck Express in the continental USA! But I digress.

This experiment stemmed out of a venture spawned in an entrepreneurship class. We are devising a health food solution for situations where healthy, convenient food is not easy to find - think airports, convention centers, or hospitals. It's a super interesting problem, so my next post will be a debrief of all my learnings to this point.

My first progress report: I learned how to use Antigravity. I built a basic requirements document iteratively with the AI agent. For now I'm just using Gemini Pro for all features. The app for now runs locally, but as soon as I get a web-hosted version up and running I will share it here for anyone to try out.

Upcoming updates:
- Host the app on the web so I can share it here.
- Create a function to grab data from flight APIs to grab departure/arrival times and gate locations from flight numbers.