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Build Predictable Startup Models by Forming an Agency

ReadWriteStart

Industry-specific domain experience becomes critical when identifying operational pain points ripe for transformation. Client work serves as an additional source of revenue to form new startups. This outside work provides a valuable source of revenue able to be used to fund operations.

Incubator 188
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Flexible VCs With Structures Between Equity and Revenue-Based Investing

David Teten

This essay is part of a series on alternative VC: I: Revenue-Based Investing: a new option for founders who care about control. II: Who are the major Revenue-Based Investing VCs? III: Why are Revenue-Based VCs investing in so many women and underrepresented founders? IV: Should your new VC fund use Revenue-Based Investing?

Equity 78
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Who are the Major Revenue-Based Investing VCs?

David Teten

So you’re interested in raising capital from a Revenue-Based Investor VC. A new wave of Revenue-Based Investors (“RBI”) are emerging. I’ve been a traditional equity VC for 8 years, and I’m now researching new business models in venture capital. Bigfoot Capital. Capital need of up to $1.5M

Revenue 60
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How Private Equity and Venture Capital Investors Are Eating Their Own Dogfood

David Teten

Private equity and venture capital investors are copying our sisters in the hedge fund and mutual fund world: we’re trying to automate more of our job. The most visible evidence of the trend towards automation is an increasing number of engineers working at venture capital and private equity funds.

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Covid-19 is a marathon, not a sprint, for startups in US, UK and Israel

VC Cafe

According to the Covid-19 impact report by research firm Beauhurst: 5,070 UK companies are at a ‘severe’ or ‘critical’ risk 615K startup and scaleup jobs are at risk Later stage startups are at the most risk Across the board, tech sectors and verticals are the most likely to experience a positive or low impact.

SBA 124
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Innovation Outposts and The Evolution of Corporate R&D

Steve Blank

These growing national companies were challenged to figure out how to organize an organization of increased complexity that resulted from their large size, and geographic scale as well as their horizontal and vertical integration. and reorganized into operating divisions (by product, territory, brand, etc.),

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Artificial Intelligence and Machine Learning– Explained

Steve Blank

For the last 75 years computers (we’ll call these classic computers) have both shrunk to pocket size (iPhones) and grown to the size of warehouses (cloud data centers), yet they all continued to operate essentially the same way. This can improve indications and warnings for military operations and active cyber defense.