Remove Framework Remove Funding Remove Guide Remove Writing
article thumbnail

Timing and why we’re all VCs

TechCrunch LA

There are CEOs that always seem to guide their companies to the right place at the right time and drive their stock valuations up. Start writing down predictions about people, companies, and markets. We get at least a dozen at the TC offices every week, which is why we write about books so often around here these days.

article thumbnail

What’s the Real Deal with AngelList?

Both Sides of the Table

I hope I straddled people’s points of view well enough not to have offended anybody while adding a framework for how I think about the service. This is a blog post I really didn’t want to write. I didn’t want to write it because I have mixed feelings about AngelList. So why I am writing it then?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

What is the Right Burn Rate at a Startup Company?

Both Sides of the Table

Let’s set up a framework. We want money to make some acquisitions (investors would prefer to fund M&A if they know specific deals – not to encourage bad behavior. A Framework to Guide You: So putting it all together, you should always be mindful of your personal circumstances and market conditions.

Startup 383
article thumbnail

How to Handle a VC Presentation with No Deck

Both Sides of the Table

I talked about this in the TWiVC video but I didn’t do a good enough job of writing it up in the summary notes in the post. I funded them 8 weeks later. Use it as a framework for a dialog not a script. Let them guide you. I’m usually itching to just see what you’ve built. Very few people ask.

article thumbnail

Tech Giants’ Partnership To Explore Ethics, Societal Impacts of AI

Xconomy

General interest, awareness, and discussion about AI has waxed and waned since the field was founded in 1956,” they write ( PDF ). “We He says the partnership may ask—or fund third-party researchers to ask—“What are best practices for identifying biases in data and addressing them across the industry?”.