Traction

Daniel Begonja on

Thinknum’s “Traction” metrics are comprised of real time, publicly available data, indexed from a company’s own website. Examples would include, HTTP Hits Per Second, viewers and channel count. Let's take Twitch.tv as an example for Amazon's Traction. Users will be able to

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Screener Fulltext Search

Daniel Begonja on

The Fulltext search function scans Thinknum’s universe and returns companies that are and that are not associated with a user defined term. Thinknum's screener populates a list of public and private tickers by searching homepages as well as subpages of one depth level. For

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Traction by Region

Tasmiyah Chowdhury on

Thinknum’s “Traction by Region” metrics are comprised of data indexed from a company’s own website that can help investors understand business activity/operations in real time by its geographic location. The use cases tend to differ in this data set since the data

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Bank Account Rankings

Tasmiyah Chowdhury on

View the rankings of bank accounts. In this dataset, users will be able to track the bank accounts by APY, category (checking or savings), monthly fee, as well as the bank’s name. Here is the link for the documentation on the columns for this

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Credit Card Rankings

Tasmiyah Chowdhury on

In this dataset, users will be able to track credit card rankings. The filters that are available are APR, annual fee, credit category, card type, and bank issuer. Here is the link for the documentation on the columns for this dataset: Columns Definition

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As economic activity comes online, new data trails are left behind. The most innovative corporations and investors are using this data to get ahead.

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