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LinkedIn's Series B Pitch to Greylock: Pitch Advice for Entrepreneurs

reidhoffman.org

What I’ve honorably been able to do, however, is share the deck I used to pitch LinkedIn to Greylock for a Series B investment back in 2004. the consumer internet landscape in 2004 vs. today. In 2004, the consumer internet was just beginning to rebound. In 2004, investors regained interest in the consumer internet again.

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Episode 1: Business Loans, Website Tips, and the Apple Watch – The Bcast

Up and Running

You come there, there’s nothing but a search bar. The search engines have done a wonderful job of really serving that up. Any eCommerce site owner will tell you that anyone that comes to their site, they’re much more likely to convert if they use the search box. John: No, get them into your site.

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28 Entrepreneurs Discuss Why they Started Their Businesses

Hearpreneur

After taking another year to build a second email marketing startup (with Anvil running in the background), I finally decided it was time for me to commit to building my own team and Anvil grew in earnest in 2004. However, after 18 months of doing that it all came crashing down one day when Google changed their algorithm.

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The Guy Who Took on Google (and now LinkedIn): Mike Yavonditte

Both Sides of the Table

Mike believes the reason AltaVista didn’t become Google ( despite their market leadership position ) was because they didn’t focus on search. Instead, they tried to use their search position to offer a portal like Excite and Yahoo! Of course, monetization of search became one of the best business models in the history of business.

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Sponsored Poolfunding: A New Way To Think About Maximizing Advertising Dollars

YoungUpstarts

Google continues to evolve and refine its search algorithms over time, leading more businesses to turn to paid advertising models to get the exposure they seek in the multi-channel, multi-device world. Every vendor ranked benefits from the traffic, audience, and leads produced through top search engine rankings at zero additional cost.

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Scaling is Hard, Case Study: TripAdvisor

Seeing Both Sides

In founding TripAdvisor, Kaufer wanted to take his hard core engineering skills and apply them to vertical search in travel. That is, build a massive database of travel information that provided a white label search engine for travel sites like Expedia and Travelocity. Big Data meets travel…in 2000.

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The Humanity of Our AI Future

thebarefootvc

Out of curiosity, I just did a quick Google search on social cybernetics and found this article comparing and contrasting AI and the study of cybernetics. We talk to Amazon’s home robot Alexa to ask for the day’s weather, and many of us are more likely to ask Google Home for information than do a Google search on our phone.