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Analysis
AddedJul 3, 2026
UpdatedJul 3, 2026
Spock

Spock

Acquired

Spock was a U.S. people-search engine that indexed public and social-network data to help users find information about individuals.

HQ
Redwood City, CA, US
Founded
2006
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Contents

  1. 01Products & Services
  2. 02Market Outlook
  3. 03Competitive Strengths
  1. 01Products & Services
  2. 02Market Outlook
  3. 03Competitive Strengths

Product Overview

Spock was a people-search engine that indexed publicly available information about individuals from sources such as Wikipedia, IMDb, LinkedIn, MySpace, Facebook, Twitter, corporate biographies, and alumni directories. Users could search by name or keyword and receive profile pages that aggregated photos, tags, related people, and web references.

The platform relied on entity-resolution algorithms to group disparate references to the same person and allowed community tagging and voting to refine profiles. It also offered widgets and syndication partnerships that powered people search on other sites.

Market Outlook

Spock entered the market with the premise that people-related queries represented a substantial portion of search volume and were underserved by general search engines. It competed in a space that also included Wink, Reunion, and the people-search features of larger social networks.

Despite early attention and syndication deals with social networks, Spock faced the challenge of converting search traffic into a sustainable business. The 2009 acquisition by Intelius placed Spock's technology and data within a company whose core model charged for background checks and public-records reports.

Competitive Advantages

Spock focused on a specific vertical—people search—rather than competing directly with general-purpose search engines. Its indexing covered a broad set of public and social-network sources at a time when many people-search services were narrower or manually curated.

The service combined automated crawling with community input, enabling users to add tags and vote on their accuracy. This approach aimed to reflect how the web collectively viewed a person, distinguishing Spock from purely directory-based competitors.