Remove 2000 Remove Cloud Remove Distribution Remove Finance
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AI, Blockchain, Web 2.0, and Self Driving Cars

View from Seed

This is not dissimilar to the explosion of applications we saw in the mid-2000’s fueled by declining computing costs, cloud infrastructure, and social platforms. Is there a means of efficient distribution amidst the noise? Will new, native distribution channels emerge? Are these features, products, or actual companies?

Web 169
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Presidential Innovation Fellows, round two

Startup Lessons Learned

Cyber-Physical Systems Working with government and industry to create standards for a new generation of interoperable, dynamic, and efficient “smart systems” – an “industrial Internet” – that combines distributed sensing, control, and data analytics to help grow new high-value American jobs and the economy. ProjectOpenData on Twitter.

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Debating the Tech Bubble with Steve Blank: Part I

Ben's Blog

In the last bubble, the S&P hit 44x in January 2000. In 2000, I was CEO of the first cloud computing company, Loudcloud, where the price for a customer running a redundant version of a basic internet application was approximately $150,000 per month. Currently, the S&P is trading at 22x.

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Kernel column: Falling costs enable regional startup hubs

The Equity Kicker

As we all know, the last ten years has seen a near-total collapse of the innovation cost curve, thanks to the perfect storm of open-source, cloud infrastructure, and “free” global distribution via search, social and app stores. Sometimes the companies simply struggle and grow as best they can with inadequate financing.

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Accel 2021 Euroscape: On the path to global dominance?

Cracking the Code

. * The European and Israeli cloud ecosystem is accelerating as never before. Back in 2016, Europe and Israel had only four public companies worth less than $9B combined and local cloud companies had raised just $900M throughout 2015. The development of Azure and the shift to the cloud has propelled the company to new heights.

Global 62
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The fundamental lesson of the forces governing scaling startups

A Smart Bear: Startups and Marketing for Geeks

Things like YouTube, Cloud, and self-driving cars. Managing 10,000 virtual servers in the Cloud Era sounds easy. Usually it’s starvation — can’t get enough customers (distribution) to pay enough money for long enough (product/market fit). Technology & Infrastructure.

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Behind Every Great Product

SVPG

Between working with the co-founders on the strategy, validating concepts with the users, assessing the analytics, driving features and functionality with the team, and working with finance on the new business model, marketing on acquisition, and the warehouse on fulfillment, you can imagine the workload Kate faced on a daily basis.

Product 60