David Teten

SEPTEMBER 23, 2017

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. Advances in machine learning, specifically natural language processing, have made generating these baseline, aggregate datasets possible, at scale, with high accuracy.

Private Equity 60

Private Equity Venture Capital Equity Technical Review 60

Steve Blank

MAY 29, 2011

The solution I’m exploring is a just in time learning methodology that accelerates founders’ learning curve by aggregating relevant content, peers and mentors.&#. Investors who provide hands-on help have little or no effect on the company’s operational performance. Hmm, now I’m getting intrigued. ——-.

Technical Cofounder 333

Technical Cofounder Early Stage Startup Silicon Valley 333

David Teten

DECEMBER 3, 2019

Private equity and venture capital investors are copying our sisters in the hedge fund world: we’re trying to automate more of our job. . I walk through below how progressive investors are using technology and analytics throughout all of their operations. ff Venture Capital hired two full-time engineers to build out Totem.

Technical Review 78

Technical Review Software Review Analytics Private Equity 78

Cracking the Code

OCTOBER 10, 2008

As a private company, you have a VERY high cost of capital (well above 10%), whether you raise venture capital, angel money, friends and family investments, bank financing, or all of the above. This is a clear example where business-to-business (B2B) marketers need to learn from their business-to-consumer (B2C) counterparts.

Software Review 48

Software Review North America Europe Metrics 48