Absrtact: Application Name: Nochains (http://nochainsapp.com/) Establishment time: June 2012 financing Situation: Unknown Product Type: Special food recommended application profit model: By advertising divided by Richonli (Rich Winley) and Dan-Moore (Dan Mall) Two-member development Group
Application Name: Nochains (http://nochainsapp.com/)
Establishment Date: June 2012
Financing: Unknown
Product Type: Featured Food recommended application
Profit model: divided by advertisement
The development team of Richie Onley (Rich Winley) and Dan Moore (Dan Mall) launched a gourmet reviews application Nochains (no chain stores), and as the application name implies, this app can recommend local specialties to users in different places, Instead of recommending a familiar chain of restaurants.
Nochains's range of services has covered Texas's home town of Austin and Onley, South Carolina's Green will, a two-person team that wants to expand into a more prosperous region: New York.
"Initially we wanted to expand our business to the Bay Area, but it was too noisy," Onley said. "Another reason for persuading the two to give up the Bay Area and move into the Eastern market is the New York City and the Brooklyn region, which has plenty of good restaurants."
Onley says there is nothing wrong with chain restaurants, but when guests are in unfamiliar areas, he may not want to go to a familiar environment, and reviews such as Yelp often recommend chain restaurants. Applications like Yelp can pinpoint the distance between you and a particular restaurant, but no matter where you are in the city, there are always too many familiar names in the list of recommended restaurants.
Nochains is not. The app is able to showcase the menus of hundreds of restaurants in the area, the total number of dishes that can be queried is 400,000 to 500,000, and nochains through the outsourced services website Elance and Amazon's Mechanical Turk to get menu details and price.
This application is also very easy to use. First the user selects the area (must be one of the four areas that the service has already covered), and then immediately logs on to the main interface, which scrolls through the surrounding referral restaurant. If the user wants to eat a particular food, you can select some common foods (such as pizza, hamburgers, barbecues, fish, desserts, etc.) through a rolling bar in the middle of the interface, and a search box at the bottom of the interface that you can manually enter for searching. You can also click on a nearby restaurant map so that users can find the nearest restaurant.
The only problem with this application is that the user experience recommendation is too small, because the application has not been published for much time. To improve this, nochains also needs to be widely accepted and used by local users, but before that, the app can still be used as a good way to find out about restaurant eggs.