Define target companies:

You can define target companies for each role. There's no need to list every single target company, our system will augment your list based on your input -

  • "Stripe, Square, Braintree" - we'll augment it with all fintech startups, with payment processing startups ranked highest in terms of target company fit
  • "Post series-a fintech startups" will match all such startups
  • "Google, Apple, Facebook" will match all big tech companies
  • "startups" will match all small to midsize companies you can find on Crunchbase
  • "labs" - will match all university & government labs
  • "langer lab" - will match langer lab and similar biotech labs

Exclude specific companies:

If you want to exclude specific companies, we support that as well:

  • "NOT Google" or "avoid Google" will exclude Google from your results
  • "avoid big companies" will exclude all big companies 

How it works:

To dynamically match companies, we ran a "co-occurrence analysis" on tens of millions of candidates profiles in our database. 

The assumption is that if two companies frequently appear side-by-side on resumes, they are hiring from similar talent pools. 

This way, if you specify "Stripe" as target company, we can see that candidates at Stripe often worked at "Square" and vice versa, so a "Square" candidate will have a very high target company score, "Google" will have a medium score, and "Bank of America" will have much lower score. 

Dynamically matching companies not only saves your time from entering a long list of companies, but surfaces more candidates because of its flexibility.

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