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Startup Due Diligence Is Not a Mysterious Black Art

Startup Professionals Musings

All private equity groups go about due diligence in their own way, but there are a few key areas of focus that entrepreneurs should always expect: Team strength and health. Investors will likely talk to dozens of potential customers, starting with your reference list (undoubtedly well prepped). Market need and size validation.

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Understanding the Dreaded Investor Due Diligence

Startup Professionals Musings

All private equity groups go about due diligence in their own way, but there are a few key areas of focus that entrepreneurs should always expect: Team strength and health. Investors will likely talk to dozens of potential customers, starting with your reference list (undoubtedly well prepped). Market need and size validation.

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Startup Due Diligence Is Not a Mysterious Black Art

Gust

All private equity groups go about due diligence in their own way, but there are a few key areas of focus that entrepreneurs should always expect: • Team strength and health. Investors will likely talk to dozens of potential customers, starting with your reference list (undoubtedly well prepped). No validated pain, no deal.

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What Entrepreneurs Should do about Price Fixing

Both Sides of the Table

Have you reference them? Convertible or equity? It is such a small community that it is hard to raise money by stealth. Typical questions: What do you think of management? How well do you know them? Have you looked at competition? How well financed is the competition? What is their market traction? How much are they raising?

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Startup Lessons for the Proto-Founder

www.metamorphblog.com

Here’s how the pitch sounds from the engineer’s perspective: ‘For ten whole percent of equity, you will slave away to build a prototype out of my shitty idea, not have any say in the decision-making process…and oh yeah, you could be fired at any point.’ Date for a bit, then split the equity.

Founder 51
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Artificial Intelligence and Machine Learning– Explained

Steve Blank

The “deep” in deep learning refers to the depth of layers in a neural network.) The downside is that, unlike past DoD technology development – where the DoD leads it, can control it, and has the most advanced technology (like stealth and electronic warfare), in most cases the DoD will not have the most advanced algorithms or models.