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 example, the below output represents companies that are associated with the term "Blockchain".

The Change Over Time function simply generates a time series for the difference between a data point today and a user defined frequency.

For example, the below output represents the DoD% change in LinkedIn head count for Lululemon.

For any car inventory dataset, you can use the sales analyser to see which individual cars are sold on a daily basis.

Let's use the Carmax inventory dataset as an example:

Type in the number of lookahead days in the sales analyzer. This represents the number of days in the future that will be checked to see if the same car returns to the target website. Most users go with 38 lookahead days for Carmax but the optimal number varies from company to company.

For each individual car, a new column called "Is Sold?" will be created with

Presets are popular queries of how you can use each dataset. Select a preset by using the dropdown.

For example, when opening the Chipotle stores dataset, you can quickly toggle between a list of closed stores and open stores.

Or when looking at car inventory for Carmax, you can quickly pull up a query analyzing the average price and mileage across all the cars on a daily basis.