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The future of search is being reinvented with generative AI

VC Cafe

Until now, to succeed in search companies needed two things: 1) an index of the web 2) an algorithm to organise the results. In the early days of the web, companies like AltaVista, Excite, WebCrawler and others competed in becoming the search engine of choice.

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Serial CEO Judy Estrin On Startups and Innovation

ReadWriteStart

She was the former CTO of Cisco Systems from 1998-2000, and is on the boards of Disney and Packet Design and was a board member at Sun and FedEx for many years. Estrin has hired numerous engineers over her career, but has found, to no surprise, that it is "harder to find technical women , especially in computer science.

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10 Product Recommendation Techniques to Improve UX and Conversions

ConversionXL

Nowadays nearly every online shop utilizes some sort of product recommendation engine, which is no wonder, as these systems, if set up and configured properly can significantly boost revenues, CTRs, conversions, and other important metrics. What is a recommendation engine, exactly? How Recommendation Engines Benefit Sites.

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How did you become a hardcore back-end developer?

Diego Basch

A few months later the first mp3 search engines start to pop up. I think I can create one that’s better, and it becomes my personal summer project in 1998. Long story short, Inktomi acqui-hired me and my puny search engine software (not the site, which earned me some nice cash on the side from ads).

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Uh-oh! Do you have a “sitcom” startup?

Up and Running

in 1998 and eventually became Yahoo!Store. On the other hand, Silicon Valley is a whole lot smarter, focusing on a team of programmers that have developed a compression algorithm to help songwriters determine whether or not their work has infringed on other’s copyright. Sold to Yahoo! The startup’s name? Pied Piper.

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Nest-ing Data

thebarefootvc

Steve Jobs famously said in a 1998 BusinessWeek interview: “It’s really hard to design products by focus group. Google is known as a data driven company – everything from its early hiring process to decision making shows its reliance on data.

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Remember Long Term Capital?

BeyondVC

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. is driven by an incredible proprietary algorithm, and is by far the best web company on the street and performing like a rock star.

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