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6 Key Rules To Stay Competitive In The Digital World

Startup Professionals Musings

Algorithms and data are required to compete. Today’s digital leaders all have a digital platform – a set of algorithms stitched together to collect and analyze key data, and tune their algorithms dynamically for every transaction. These tolerate negative cash flows for growth. Create a team culture for personalized service.

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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 extreme example of this are algorithmic investors in the public markets, who design algorithms which trade on the designer’s behalf, as opposed to making trading decisions directly.

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Requests for Startups in 2024

VC Cafe

Programmatic investing using natural language – Using natural language or decision trees, consumers with no knowledge of code can build algorithms that execute trades for them. Technological Convergence – The global equity market value associated with disruptive innovation could increase to 60% by 2030.

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Startup Software Developers

SoCal CTO

reduced salary, partial equity, good experience, etc. I’ll give you equity in the company.” If you have some complexity and uniqueness to your startup (and you should – see Matching Algorithm ), then it’s going to still take time and effort to do the software development. Likely a lot of time and effort.

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Who are the Major Revenue-Based Investing VCs?

David Teten

This structure offers some of the benefits of traditional equity VC, without some of the negatives of equity VC. I’ve been a traditional equity VC for 8 years, and I’m now researching new business models in venture capital. We don’t have any equity or control over the business….”. “As Key elements: . “We

Revenue 60
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8 Myths Technologists Believe That Sink Businesses

Startup Professionals Musings

In fact, an entrepreneur friend of mine, who made millions on her marketing expertise, asserted recently that most inventors fail in business because they refuse to believe that any business expertise or experience is worth more than 5 percent in partner equity. Business efforts should start only after the product is right.

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Choosing people over algorithms

The Equity Kicker

Two of these examples are from Apple, making it early to generalise, but there’s definitely a strong meme that humans are better than algorithms when it comes to recommending content. if this is more about positioning than substance – human curation sounds better to most consumers than recommendations from a machine.