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Founders at Work.pdf

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C H A P T E R<br />

20<br />

Brewster Kahle<br />

Founder,WAIS, Internet Archive,<br />

Alexa Internet<br />

Brewster Kahle started WAIS (Wide Area Inform<strong>at</strong>ion<br />

Servers) in the l<strong>at</strong>e ’80s while an employee of Thinking<br />

Machines. He left in 1993 to found WAIS, Inc. WAIS<br />

was one of the earliest forms of Internet search software.<br />

Developed before the Web, it was in some<br />

ways a predecessor to web search engines. Kahle sold<br />

WAIS to AOL in 1995.<br />

The next year, Kahle founded Alexa Internet with<br />

Bruce Gilli<strong>at</strong>. The Alexa toolbar tracked user browsing<br />

behavior and suggested rel<strong>at</strong>ed links using collabor<strong>at</strong>ive<br />

filtering. Once captured, pages visited by<br />

users would then be “don<strong>at</strong>ed” to the rel<strong>at</strong>ed nonprofit Internet Archive, to help<br />

build a history of the Web.<br />

Alexa was acquired by Amazon in 1999. Kahle continues to run the Internet<br />

Archive.<br />

Livingston: You were one of the first members of the Thinking Machines team.<br />

Wh<strong>at</strong> number employee were you?<br />

Kahle: I was not one of the two founders—they were Danny Hillis and Sheryl<br />

Handler. I was on the project team <strong>at</strong> MIT, so when we started the company,<br />

anybody from th<strong>at</strong> team th<strong>at</strong> wanted to come came. There were three or four of<br />

us. We had been working on it for a couple years before there was a company.<br />

Livingston: Tell me about some big things back in the Thinking Machines days<br />

th<strong>at</strong> helped pave the way for WAIS.<br />

Kahle: Thinking Machines was not my doing, but I was on the project team<br />

beforehand and then helped start the company. Wh<strong>at</strong> I learned out of th<strong>at</strong> was:<br />

do your homework before you are spending your own money. We did a full<br />

couple rounds of the Connection Machine <strong>at</strong> MIT before we started a company.<br />

It was very helpful to get your lessons learned basically on somebody<br />

else’s nickel, in a research phase.<br />

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