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Dating app Tinder briefly exposed the physical location of its users

ARC from Applause, [8] a research group who specializes in gathering insights on Pecos dating economy, conducted a research study on how 1. The research results indicated that only 11 apps scored 50 or greater out of with more than 10, reviews from the app store. Other popular applications like BumbleGrindr Dating app location services, eHarmonyand Match scored Dating app location services or less. Users are in control; they are provided with many options so there are enough matches that fit their particular type.

Users can simply choose to not match the candidates that they know they are not interested in. Narrowing down options is easy. Once users think they are interested, they are able to chat and get to know the potential candidate. This type of communication saves the time, money, and risk users would not avoid if they were dating the traditional way. It allows them to get more precise data on user location like a shelve stand a customer is standing by. Location-based apps for finding people: Tinder-like dating apps are probably the most obvious example here. And Hppn app took an idea of making friends with people nearby to a new level: And you can connect with this people. Ideas for your own location-based apps Using very basic types of location-aware apps specified above you can expand an idea further and build the following: Users and brands can write personal messages, add photos or offer discounts which their followers can only see when visiting a certain location.

For users it is an opportunity to recommend interesting spot to their friends or remind about a memorable event. Brands can use it to attract more visitors to their less popular venues by offering on-the-spot discounts or notify about special time-limited offers when users are downtown. Drop Messages startup is doing something similar but with focus on photos from Instagram and getting alerts when you friends are nearby making it a location based social app of its own kind. Location-based app for task automation.

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