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MY NAME IS
Ognjen Regoje
BUT YOU CAN CALL ME OGGY


I make things that run on the web (mostly).

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Concept: Tinder interface for restaurants

The Tinder interface is pretty good for making a quick judgement for a low impact decision. So it should be good for deciding where to eat.

  1. First impressions are based on appearance
  2. There’s a lot of choice
  3. Not a lot of info is required upfront

Tinder for restaurants on ognjen.io

And you could swipe through them, till you found one you liked.


It's a video, it might take a second to load.

There could also be a more traditional search.

Tinder for restaurants on ognjen.io

But preferences for discounts or distance are probably more important.

The benefit of this approach is the ability to order and present restaurants algorithmically. The aim would, of course, be to increase bookings both for restaurants and users.

Some ways that restaurants could be biased towards in the list:

  1. Probability of booking when seen the first time (some deals are just that good)
  2. Frequency the user books when within a specific distance (users like their regular places)
  3. Users preference based on attributes (cuisine, location, ambiance, price, discount, etc)
  4. Frequency of bookings for a particular type in the area (certain areas result in more bookings for specific types of places)

The concept here is for making a reservation but could similarly work for delivery as well.