What is Qkly?

Queue + Quickly = Qkly (read /cu-kly/)

Qkly is a trip planner that reduces the time you spend in queues.

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Miriam. The traveler.

I had two days to visit Barcelona, thanks to Qkly I was able to make the best plans to visit all the places I was interested in. I found very little queues and I saved a lot of time.

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Jordi. The Shopper.

I am crazy about shopping, but I really hate being surrounded by hundreds of people. With Qkly I organized my Saturday and I was able to go in all the shops I loved.
Qkly is great! Even if my credit card does not agree...

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Miguel. The Busy Guy.

My days are often very full and sometimes when I have to go in many places I need to known how to avoid useless queues. I use Qkly every day because it helps me saving my time.

How does it work?

  • Get the app, on your Android phone or on the Web

    Download the app on Google Play or use the Web app.

    As easy as that.

  • Add the places you want. You can search them or add the nearest ones

    Click on "Add Place" for all the places you need to visit.

  • Set up your plan. The Freedom to choice

    Change the time you would like to spend in each place.

    You can also change when you would like to start your trip.

  • Check the schedules! Simple and clean interface

    Easy to understand at the first glance with the histogram.

    Suitable for your plans with the list of results every 10 minutes.

  • And lastly, Off you go.

    Check the list of possibilities with the cost (based on the queues) and the time the visits will last.

Thanks for your interest.

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Luca Chiarandini

View personal website »

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Michele Trevisiol

View personal website »

Luca Chiarandini is a PhD candidate at Universitat Pompeu Fabra and Research Intern at Yahoo Labs. His main research interests are in the field of social media, data mining, machine learning and human-computer interaction. He is carrying out research on Human-centered Exploration and Discovery of Content in Large Information Spaces.

Michele Trevisiol is a PhD candidate at Universitat Pompeu Fabra and Research Intern at Yahoo Labs. He is focusing mainly on multimedia information retrieval and recommendation, exploiting explicit and implicit user actions and interests. His working with large data collections like Flickr, Yahoo! News and more in general query- and web-logs.