Today, users are still very much dependent on the opinions of a few individuals when it comes to making decisions on where to go and what to do in the city. The problem is that the advice that can be found in magazines, blogs or even social media is biased and offers no guarantee in terms of quality of content, relevance or actual attendance.
Heystak solves this problem by allowing users to discover the city, using real-time and historic data on patterns of behaviour.
Users simply select individuals to follow based on shared interests. They do so by swiping through nearby profiles randomly or by searching specific hashtags. In return, they are offered with a geographical visualisation of places of interest. The crowd that they select becomes anonymous heat signatures on a map and provides an indication of where like-minded individuals decide to spend their time. It offers a real and accurate view of the city’s pulse, by empowering individuals to seamlessly curate experiences.