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===Inspiration, or the "Dream Case"===
**'''What if we''' tap on NLP capabilities to monitor twitter handles that are known to be important, and have a constant feed of important rising new '''words''', rising new mentions and rising new hashtags. Using this feed, we can populate and update graphs constantly, measuring delta instead of using graph data per se, and thus develop a good grasp of rising organizations, events and startups in the twitterverse. We would know things before other people do. Value.
***Empirically, and in a micro way, I have observed that a new startup known as '''Aminohealth''' (enables end-users to shop around for doctors based on price range; seems very novel and in-demand) has been appearing very constantly on important feeds such as @techcrunch, @redpointvc and @accel. It has just received a funding round (I'm writing this in 7/27) but is relatively unknown in the bigger twitter picture. In fact, Aminohealth does not have a twitter handle, nor is its hashtag populated. Delta is far more important than what-is for rising startups as such.
***Empirically, the twitterverse is populated by important organizations as well as, we often forget, their staff. @jflomenb is constantly mentioned by @redpointvc and @accel, and has interesting exposes information about the entrepreneur scene, as shown. Again, delta is crucial.
***It'll be easy to find out who are the people that are attending the workshop, and add them to our watchlist of important people
***Also, how important or impactful are these events? We can track their mentioners and likers and followers to identify and think about events that happen after the events conclude. (hmm..)
 
===Limitations===

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