Remove Aggregator Remove Entrepreneur Remove Later Stage Remove Startup
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The Coming Brick Wall in Venture Capital & Why This is Good for US Innovation

Both Sides of the Table

Or the Cliff Note’s version: Open Source & Cloud Computing (led by Amazon) drove down tech startup costs by 90%. The result was a massive increase in startups & a whole group of new funding sources: both angels & “micro VCs&#. Some are going later stage to not miss out on hot deals.

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Intellectual Property for Startups in the Real World

Gust

Many thanks to David Rose , Ilana Grossman , Justin Stanwix , and the whole Gust team for making the Gust Blog such a valuable platform and resource for entrepreneurs and angel investors. How much risk do IP issues in the aggregate pose to our business ? How much is it worth investing in cultivating and enforcing an IP portfolio ?

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Will A Business Incubator Help Hatch Your Startup?

Startup Professionals Musings

One of the reasons that now is the time to be an entrepreneur is the explosion of startup assistance organizations, usually called incubators or accelerators. A few are still trying to make a profitable business out of nurturing startups, but it’s a challenge to make money when your customer startups don’t have many resources to give.

Incubator 247
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How to Scale Support of Portfolio Companies

David Teten

the “TOPSCAN” framework from my research study on value creation by VCs ): T eam-Building – We aggregate openings across our portfolio on our jobs page. We have built relationships with a set of service providers specializing in startups, and have pre-negotiated discounted rates with them. For example, consider public relations.

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

David Teten

Even for later-stage companies with predictable financials, the lack of liquidity, audited financials, and standardized metrics creates real challenges to scaling quantitative investing. The only problem that faces startup investors now is how to mine this new data layer efficiently to increase returns.”.

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Four years at Version One & some thoughts on “Moneyball for VC”

Version One Ventures

Naively thinking that the problem was our own capacity to sift through the large quantity of startups (and not the fact that there is a large noise to signal ratio), I asked myself, what if I just developed a model to find more companies? I then applied some ML algorithms in an attempt to predict startup success.

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Introducing the NextView Talent Exchange: Connecting Top Talent to Startups

Genuine VC

Today, I’m thrilled to publicly announce NextView’s Talent Exchange, a program helping both top talent and NextView-backed startups connect with each other more easily, beginning with Boston companies (which make up just over half our portfolio). For our startups, we knew we could help them source better and move faster.

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