Remove 1994 Remove Algorithm Remove Engineer Remove Marketing
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10 Search Engines That Don’t Start With A G, B, Or Y

YoungUpstarts

In the world of online search engines, most people stop with the Big Three. For those who like to run off the beaten path or march to the beat of their own search engine, here are ten alternatives to consider the next time you need to find information online. Games and entertainment also have their own niche in the market.

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Brad Feld Drops Knowledge. Here’s What He Said …

Both Sides of the Table

We have a theme we call Protocol, which are technology protocols and markets built around technology protocols like SMTP for email and RSS. So I was an Angel investor from 1994 to 1996. And so you really have a log of software algorithmic stuff that is very, very difficult.”. Human Computer Interaction.

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Stitch Fix: Reinventing Retail Through Personalization

abovethecrowd.com

In addition to market concerns, I had the unique experience of working with Dan Nordstrom and the team at Nordstrom.com in August of 1999. The engine at the core of that growth was a highly advantaged customization offering that took years and years for Dell’s competitors to figure out.

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Uber’s New BHAG: UberPool

abovethecrowd.com

In their seminal 1994 book Built to Last: Successful Habits of Visionary Companies , Jim Collins and Jerry Poras coined the term BHAG (pronounced BEE-hag) — an acronym that stands for “ B ig H airy A udacious G oal.” This allows the company to “forward invest” capital to help these markets achieve lower consumer prices even faster.

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Content Creation is Dead – Long Live Storytelling!

Duct Tape Marketing

written by Guest Post read more at Small Business Marketing Blog from Duct Tape Marketing. Google’s Ngram viewer (a tool that charts the usage of words in printed sources from 1800–2008) shows the precipitous rise of the words “content creation” around 1993-1994. So many marketing articles talk about having a content strategy.

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Remember Long Term Capital?

BeyondVC

In 1994, the smartest guys in the financial trading and academic world got together to start Long Term Capital. It used proprietary computer driven models (think sexy algorithms) to find miniscule misprincings in markets and would use leverage and derivatives to exploit those mispricings.

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