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Startup Metrics

SoCal CTO

A post by Fred Wilson pointed me to Dave McClure's Startup Metrics presentation. This is a great presentation and one that I'm going to point out to startup / early stage company CEOs. This kind of a simple model also helps: Define the early proof points for the company. You only build what you need to prove that model.

Metrics 225
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Praying to the God of Valuation

Both Sides of the Table

And then in the late 90’s money crept in, swept in to town by public markets, instant wealth and an absurd sky-rocketing of valuations based on no reasonable metrics. I started my first company in 1999 and was admittedly swept up in all of this: Magazine covers, fancy conferences, artificial valuations and easy money.

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What Does the Post Crash VC Market Look Like?

Both Sides of the Table

<== Our conclusion was that this isn’t a temporary blip that will swiftly trend-back up in a V-shaped recovery of valuations but rather represented a new normal on how the market will price these companies somewhat permanently. First in late-stage tech companies and then it will filter back to Growth and then A and ultimately Seed Rounds.

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Here’s Why a Booming Tech Market May Fool You into Thinking You’re Successful

Both Sides of the Table

Since 2009 we’ve been in an unequivocal bull market. And as I always assert, “Great companies are built in downturns. It’s when the noise stops and you can actually get customer attention, press articles and VC meetings. And it’s when mediocre companies get pulverized.”

Marketing 354
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5 Forces That Kill Momentum For Business First-Movers

Startup Professionals Musings

It’s important to note slippage indicators, including less internal feedback on requirements to fight competitors, and more focus inward than outward on customers needs and trends. Assess many change initiatives have come to fruition from your team, visit a couple of key customers and listen for future needs, and study your newest competitor.

Metrics 122
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Southern California Tech Central

SoCal CTO

This site is being sponsored by the Technology Council of Southern California and my company TechEmpower. So you can see that Entrepreneur (60) LinkedIn (15) Metrics (16) SEO (15) Company (141) are all considered highly relevant to the term "startup." And perhaps to stimulate new connections.

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How PointPredictive Is Using Machine Learning To Uncover Fraud, With Tim Grace

socalTECH

There's been a revolution in the use of artificial intelligence and machine learning in the last few years, by both startups and large companies, to help in a large number of areas. With each company that we've started, we've concentrated on a particular market. You've done this before in other industries--what led to new company?