TalentBin, a San Francisco, CA-based “talent search engine”, raised $2m in Series A funding.
The round was led by Lightbank, with participation from New Enterprise Associates, Foundation Capital and FundersClub. In conjunction with the funding, Lightbank partner Paul Lee will join TalentBin’s board.
Led by Peter Kazanjy, co-founder, TalentBin provides software that allows recruiters to discover technical talent. Its search engine aggregates professionally relevant information based on candidates’ activity across hundreds of websites (Facebook, Twitter, Google Plus, Meetup, Quora, etc.) and industry-specific communities (Github, Stack Overflow, Behance, etc.) and then analyzes each person’s activity on these sites to provide recruiters with information on skills and interests that are difficult to find on LinkedIn profiles.
It also includes talent search capabilities from “non-social” sources, such as inventorship records in the U.S. Patent Database
Participation in open source software email list-serves, authorship records in the PubMed life science publication’s database
To date, the company has aggregated more than 500 million profiles of potential candidates to serve its 200+ corporate clients, including leading companies like Facebook, Amazon and UPS.