Find TA: Consumer-to-consumer website that publishes and shares real-time transaction information based on geographic location

When you see the classified information site overwhelming, full screen ads, perhaps you will sigh: This is a magical site, and we can not find what we need. Well, in fact, the classified information itself is a good model, but if you can solve people's problems or needs to take it better, now, some new sites are trying, such as the new classified information Web site "multi-Shell network", as well as today's introduction of the "Find Ta", it is based on a map of the associated geographical location, Demand-oriented, to do a consumer-to-consumer trading platform, services , products can be.

"Find Ta" as a geographical distribution and the sharing of real-time trading information platform, in which the information includes merchandise trading, life services, and so on, looks like the classification of information sites very similar. But the difference is that "find Ta" is the main demand-driven transactions, a bit similar to reverse e-commerce, what users need, what is the problem, as long as the "Find Ta" on the issue of a message: to explain their needs, willing to pay the price, Dee European Limited completion time, and then on the map to mark; Find Ta "site will inform both sides to contact the transaction.

Users open the "Find Ta" site, you can drag the map to view the specific location and surrounding information. Of course, "Looking for Ta" also has several main columns and services: Find Ta recommend, find TA second-hand, everything house. The first two are easy to understand, recommended for "Find Ta" to commercialize the place; while second-hand trading is more common, "MasterCard" is a fun place where users can publish fun information, make a wish, perhaps it will be realized.

In the "Find Ta" view, the world of any item or even the goods, have its price, and "Look for Ta" to do is to facilitate these transactions, through the mapping of life information map, do not like the classification of information sites.