Every day a lot of hot topics are happening round the world. The hype usually starts silently from rare discussions in small communities. Incrementally growing day-by-day until the hype becomes a mana for the whole society. Then, after some time, the hype fades away meaning that the topic is not interesting for the wide society any more. After fading, the hype does not fully die. It again becomes the topic for small communities, for businesses and enterprises, where the hype topic gets true adoption.
Your goal is to know about the hype BEFORE your competitors do. It gives your business a chance to develop better than the others do. You are welcome to play with our OpenSource hypes. But observing a custom hype consumes some server resources. So, we have to provide this as a paid service.
A hype includes various observations for a time period which can be grouped as an identifiable data set. For observing a custom hype, you need to create an empty data kernel first.
At this step, you add keywords one-by-one to the data kernel. These keywords are used for assembling the data set. Too many keywords can result in a huge data flow, which you will not be able to process manually. Therefore, it is recommended to start with a few keywords and then keep growing.
After adding keywords, you need to give some time to the assembling agent to gather all the requested information.
Finally, your data is ready to make your business better.