Bounty

Enriched dataset

Inspiration

I am a teaching assistant in Stanford's CS198 teaching program. This program is known for its alumni network, which includes Bret Taylor, CEO of Sierra and chair of the OpenAI board + former CEO of Salesforce, Marissa Mayer, former CEO of Yahoo, and many more.

There is a page with a list of all the alumni of the program, and I wanted to turn into a spreadsheet where I can easily filter for people based on when they graduated and where they work to improve the efficiency of my outbound process.

What it does

Bounty takes a list of names and returns an enriched CSV file with criteria the user inputs. For the search above for instance, it would include 'Class Year', 'Company', and 'Email' to make my cold-email process more streamline.

How we built it

I used the Exa research and Websets API to search for individuals in the list.

Challenges we ran into

It was hard to solve for edge cases with scraping, and sometimes, data retrieval can be faulty, especially if the only user input is a generic name, like "Mark Robinson." In the future, I will try to improve my hit rate. Currently, a search for 1900 people returned roughly 1400 enriched results.