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Startup Due Diligence Is Not a Mysterious Black Art

Startup Professionals Musings

After you have successfully attracted angels or venture capital with your business case, your million dollar product idea, and you have a signed term sheet, there is still one more hurdle to overcome before investors write the check. Product or service readiness. Investors are evaluating your process as well as your product.

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Understanding the Dreaded Investor Due Diligence

Startup Professionals Musings

After you have successfully attracted angels or venture capital with your business case, your million dollar product idea, and you have a signed term sheet, there is still one more hurdle to overcome before investors write the check. Product or service readiness. Investors are evaluating your process as well as your product.

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Startup Due Diligence Is Not a Mysterious Black Art

Gust

After you have successfully attracted angels or venture capital with your business case, your million dollar product idea, and you have a signed term sheet, there is still one more hurdle to overcome before investors write the check. Product or service readiness. Investors are evaluating your process as well as your product.

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What Entrepreneurs Should do about Price Fixing

Both Sides of the Table

Have you reference them? Convertible or equity? So to be clear I think in the overwhelming majority of cases these are diligence calls to feel out the opportunity in which price discussions exchange hands more as a by-product of the call than the intention of the call. Typical questions: What do you think of management?

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Startup Lessons for the Proto-Founder

www.metamorphblog.com

The difference between your initial idea and your ultimate product is the difference between a slab of rock and the David. Date for a bit, then split the equity. You may or may not have a working product. Your product may or may not suck. When you’re hiring folks, don’t promise equity upfront.

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.) Understanding how an AI works is essential to fostering trust and confidence in AI production models. Generative Design of Physical Products. Deep Learning /Neural Nets – a subfield of machine learning. Examples here , here and here.