AT&T Mobile App Hackathon SXSW 2013 – Recap!
The AT&T Developer Program returned to SXSW for the second time on March 9th and 10th with our wonderful friends at American Airlines, dot CO, Hertz, and Voice Park to host a hackathon focused on travel mobile apps. Developers attending the SXSW hackathon were given limited time access to new APIs from American Airlines were showcased along with new location APIs from AT&T for the first time.
Tweets and images can be found here: https://twitter.com/search/realtime?q=sxsw+atthack&src=typd
As for the flow through, the event was invite only with 100 pre-selected developers who hit the ground running with assistance from our friends at American Airlines and coded a total of 15 mobile apps. A big thanks goes out to our awesome sensies, judges, AT&T corporate communications and American Airlines marketing team who worked hard to pull off an awesome event.
We leveled up the hackathon a notch this time by hosting an after party with killer performances by Knightly and the Bird and St Lucia on Sunday night after the hackathon. DJ 4Real was spinning like magic and kept the party going into the wee hours of the night with pumping beats.
There were some really great apps created, but the most interesting and perhaps most controversial was AirPing. This app knows where the traveler is suppose to be and automatically suggests the next three flights in the event the flight is missed. Team AirPing took top honors because the judges loved the pitch, the UI and how the app weaved multiple APIs into the overall story.
The big winners of the night included Mokiico, who gamified the process of traveling by rewarding travelers for visiting stores within the airport and RoundTrip who built a notification app that helped family members keep in touch.
On a sidenote, my personal iPhone and Mac Air grew legs and walked off during the event. If you happen to have seen either of these misplaced items, I would greatly appreciate a heads up. My email is email@example.com.
As for the teams and apps, you can learn about all about how they placed below with their own app descriptions below:
Team Round Trip – Round Trip is the first mobile app of its kind. This application will assist you in your travels starting before you leave your house and ending when you reach your destination. With features that will help you plan the best route, watch for traffic jams, check weather, reserve a rental vehicle, alert friends and family that you have reached your destination safely. Round Trip takes all of the hassle and headache out of traveling. Technologies used: MySQL Back End and APNS Push Services
Team EyePrism – EyePrism is a hands-free app that helps people on the go book flights, rent cars, book vacations, and more. Prism will be an extension of what you can do with the Google Glass. Technologies used: NodeJS and MongoDB
Team Plannerbot – How do you shop for hotels usually? You get a list or map of hotels that you can filter by price and rating. Is that helpful? Somewhat. Sometimes you can see a heatmap of attractions or restaurants. What are really looking for is a hotel that is located conveniently so that you can get to all the attractions that you have on your itinerary, not just all attractions and restaurants in the city. And who will help you figure out for how many days you should to stay at the destination? This is where Travelbot.co comes to rescue. Travelbot.co is the travel booking service that thinks like you, not like the hotelier. Technologies used: google maps, jquery, java, and tomcat
Team Travial Pursuit – It sucks to wait around while traveling, it’s fun to battle and even more fun to WIN STUFF. Our app allows users to battle in travel related trivia and win prizes! Technologies used: node.js, web sockets
Team Mokiico – We are game-ifying travel by air. With Mokiico, Travelers earn Mokiico points for everyday travel activities like checking-in for their flight by a certain time, arriving (and staying) at the gate on time, visiting preferred American Airlines merchants and retailers, sharing their check-ins on social networks (Twitter, Facebook, etc.), and more. Travelers accumulate these Mokiico points to compete with fellow travelers in leader boards for elite Mokiico statuses and can redeem them for American Airlines rewards like miles. Mokiico monetizes the app through strategic partnerships with American Airlines preferred merchants and vendors. Technologies used: iOS
Team NearlyThere – NearlyThere provides a simple solution to solve two major problems for air travelers who nearly miss or miss their connecting flight. The orange button grabs the user’s name and location data to transmit to an iPad dashboard app provided for the Gate. The Gate can use this data to determine how close travelers are and whether or not they can keep the door open. The second button (red) is the “I missed my flight” button. Press this and the app will determine the next flight to your destination and will get you on it. IT then presents a view to add the new boarding pass to iOS Passbook. Java Web App built on the Spring Framework. Deployed via Amazon’s Elastic Beanstalk. Backed by a scalable mySQL. This cloud service layer is utilized by the iPhone App and the iPad App.
Team AirPing – AirPing is the ONE app you need to know if you’ll make your flight on time. We provide a simple interface that gives you an ETA for travel time to airport, live flight change updates, and help you rebook flights if there are scheduling changes/delays. Technologies used: Google Maps API, to help us give passengers an idea of their ETA according to distance/traffic. Another option we’re looking to add in the future is the Expedia API to give security wait time estimates.
Team ASAP – ASAP is a B2B app for urgent travel. Hardware failures can kill any business (e.g. printing press problems for the Washington Post or a water pump down for the Monterey Acquarium). When they happen support need to move asap. ASAP is an app that automated all the logistical steps to take a technician to the hardware failure in the most efficient way: calculate how long it takes to reach the closest airport, check airport delays, booking faster flight to destination, ensuring a rental car is waiting at destination, and keeping the client updated with automated SMS sent by location fences ASAP only focus is to bring prompt help where it is needed the most. Tecnologies used: Python, Pyramid, Google Direction API, Amazon Web Services, Html5, and JQuery
Team Bag Tracker – Why should I know 1-2hrs after my flight that I lost my bag. I would like to know as soon or soon after I land so my time is not wasted. Technologies used: Google App engine and Android SDK
Team AirSleuth – Value Prop. Technologies used: SQL Server, C#, IIS, HTML, and CSS
Team Window Seat – With Window Seat App, every seat on the plane will be a ‘window seat’! Window Seat iPhone App is a deadly simple app to let you discover the interesting places you fly by on an airline. Technologies used: iOS SDK
Team Flipardy – When you are arriving to a new city, you can discover a complete new world, we will guide you at your visit. Through the lens of your camera you will find the more important/tourist sites of the place, you will find “”MILES REWARDS”” if you go to the places or even you can buy it, could you imagine buying the “”Empire State on NY””, an be the owner on your own virtual world? You can win more miles if you answers the trivia about your trip. Technologies used: Augmented Reaity, geolocation, open graph, php, jquery, and Native IOS
Team Side Trip AR – Turn your next trip into an adventure: Side Trip AR helps you see and explore the most exciting layovers on a 3D globe. Technologies used: Unity
Team SayitCheckit – i’m Shai Leib, and one of the most frustrating things about travel is to find out if a flight is delayed. Imagine running late for a flight or going to pick up friends or family. You want to instantly know if a flight is on time. we solved the problem of getting instant flight status, by creating a speech driven flight status app called SayitCheckit, that allows the user to use natural language to get instant flight status results. Technologies used: Natural language processing to understand natural speech to get flight status