The subway doesn't mean it's the destination.

The subway doesn't mean it's the destination, for many road-crazy, the last kilometer of the "grilled map" than on the subway for an hour to be uncomfortable, "casually go" to solve is in the "Walk" scene under the problem of finding the road, the biggest bright spot of this tool is to achieve real-world navigation, WYSIWYG.

By calling the mobile phone GPS, gyroscope sensors and mobile phone cameras, "casually go" according to a specific algorithm to calculate the user's current position and destination latitude and longitude of the difference, so that the current real environment to give directions before and after the direction of the user no longer need to bother to identify directions. Compared with the way to navigate the punctuation into the map, the "Go free" is not involved in the picture loading.

Under normal circumstances, people walk may not be long, but still include a lot of scenes, which is very concerned about casually, so it according to eat, drink, play, Buy, live, row and other needs to do the following scene division. Users choose a scene, "casually go" will be the nearest to you recommend the appropriate places such as restaurants, KTV, attractions and so on, and through the virtual navigation to take you past.

As you may have seen, these scenes are often in the process of traveling, and this is related to the first venture project of team founder Sun Honglei, the business-to-business service for Internet solutions for tourist attractions, so he knows a little about the problems of tourists traveling. As for the choice of walking the scene to do the navigation, partly because this is Baidu and other giants do not do (they mainly do in-car navigation).

In the future, the same is based on the pedestrian navigation scene, random walk will further optimize the recommendation of the merchant, such as preference recommended popular restaurant (according to the data); Join the line to find merchandise services, such as friends to travel in Hong Kong with a specific gift, you can through the identification of a two-dimensional code to find a nearby store to sell this product Navigation will also be further optimized, such as when users do not know from which mouth out of the subway, can be identified by the environment to find the most recent exit of the destination, as well as the possibility of introducing the concept of a group, convenient for users to share real-time location when gathering, the real navigation to find the destination.

Because "don't want to be disgusting to the user", Sun Honglei says, there is no business model at all, and wants to focus on doing the user experience first. Currently 6 team members, the team said, the application download volume 300,000, the retention rate of 30%.