Thinknum’s “Traction by Region” metrics are comprised of real time, publicly available data, indexed from a company’s own website, broken down by geopgraphical region. Examples would include, HTTP Hits Per Second, viewers and channel count.

An example would be tracking which city has the most Amazon Restaurants as of April 9, 2018:

Here is the link for the documentation on the columns for this dataset: Columns Definition

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 dataset: Columns Definition

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

Users will be able to track companies amongst many industries on who are and are not writing code.

Here is the link for the documentation on the columns for this dataset: Columns Definition

View key metrics for company Sina Weibo handles. Metrics include followers, posts, and description. Users can track a company’s overall traction on Sina Weibo, a Chinese microblogging site over time. By collecting this data, we are able to determine the popularity of a company.

Here is the link for the documentation on the columns for this dataset: Columns Definition