google lecture series presentation at u of michigan school of information

15
Google Entrepreneurship Lecture Series What a long, strange trip it’s been: from Wall Street to Angel to VC” Roger Ehrenberg IA Ventures October 19, 2012 @infoarbitrage

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Page 1: Google Lecture Series presentation at U of Michigan School of Information

Google Entrepreneurship Lecture Series“What a long, strange trip it’s been:

from Wall Street to Angel to VC”

Roger EhrenbergIA Ventures

October 19, 2012@infoarbitrage

Page 2: Google Lecture Series presentation at U of Michigan School of Information

My story, part 1:“The Startup Phase”

• 1965: Born in Detroit – Michigan in my blood

• 1983: Graduated from NTHS outside Chicago – U of M-bound (Honors College, B-school)

• 1987 (early): Meet my future wife at Rick’s (she was my waitress – true story)

• 1987 (mid): Graduated from Michigan B-school – Wall Street bound (M&A, Capital Structuring)

Page 3: Google Lecture Series presentation at U of Michigan School of Information

My story, part 2: “Product/Market Fit”

• 1993: Graduate from Columbia B-school – switch from advisory to S&T (Derivatives)

• 1993-2002: Ride the derivatives / risk management boom at Citi and DB

• 2002 (late): Get the opportunity to write a business plan for a large proprietary trading business called DB Advisors

• 2003 (early): Become CEO of DB Advisors

Page 4: Google Lecture Series presentation at U of Michigan School of Information

My story, part 3:“The Pivot”

• 2004 (early): Make first angel investment - TheLadders.com – and become drunk on startups

• 2004 (late): Leave Wall Street (long story!)• 2005: Leave my comfort zone… say goodbye

to derivatives, hedge funds and trading and say hello to data-driven startups full-time

• 2009 (mid): After 40 angel investments, actively penning a blog and countless meetings with entrepreneurs, VCs and angels, decide to start IA Ventures with a thematic focus on “Big Data”

Page 5: Google Lecture Series presentation at U of Michigan School of Information

My story, part 4:“Going Big”

• Leverage my experience– Take my 20+ years using data and algorithms to solve

market problems and apply it to venture investing

• Adopt a founder’s perspective– Build a venture firm that’s thoughtful about recruiting and

partnership (with LPs and companies alike)

• Define a clear market opportunity– Attack it with ruthless focus – skills, branding, execution

• Pay it forward– Build strong relationships across the Big Data ecosystem

(entrepreneurs, data scientists, strategic corporates, government)

Page 6: Google Lecture Series presentation at U of Michigan School of Information

Some Basics on Entrepreneurship

• Solving defined problems generally leads to the best ideas– Buddy Media, TransferWise, TweetDeck

• Have a partner; they help get you out of your head and facilitate joint problem-solving and collaboration– Mike & Kass Lazerow (Buddy Media)– Nat Turner & Zach Weinberg (Invite Media)

• The best entrepreneurs have strange utility functions: they optimize for impact, not $$– In Mike Arrington’s parlance, “Are You a Pirate?”

• Unless you have an exceptionally high pain threshold and are willing to feel like an idiot much of the time, do not try this at home

Page 7: Google Lecture Series presentation at U of Michigan School of Information

Entrepreneurship “Data-Style”

• It doesn’t have to be technologically complex– Sometimes, an amazing consumer product/platform can build

valuable data assets ripe for mining

• It’s not about whose cluster is bigger– Your infrastructure is only an enabler of you asking and

answering the most relevant questions

• Lots of data isn’t an advantage on its own– Often, more data creates more problems– Data-centric founders build the right technology and culture to

extract maximum value out of data assets

• Instrument everything and use your data to learn– Test, test, test early and often– You must have real hypotheses and be intellectually honest

Page 8: Google Lecture Series presentation at U of Michigan School of Information

Data Economies of ScaleUser

engagement

Data

Insight

Improvements

PRODUCT

Page 9: Google Lecture Series presentation at U of Michigan School of Information

Data Exhibits Network Effects

100101001

Insight

11010010Insight

010001011

Insight

ContributoryDatabasePlatform

Page 10: Google Lecture Series presentation at U of Michigan School of Information

So you think you want venture money?

• Are you sure?• Bootstrap as long as you can

– e.g. Indeed, Github, Thrillist

• Friends & Family / angel money is a good first step– e.g. TweetDeck, Global Bay Mobile Technologies, MyTrade

• Only consider institutional money if you are committed to building a business of meaningful scale. VCs care most about big exits– e.g. Metamarkets

• Taking venture money reduces optionality

Page 11: Google Lecture Series presentation at U of Michigan School of Information

If you’re going to take the VC plunge…

• Make sure you’re all in– Building a huge business implies “burning the boats”

• Money is NOT FUNGIBLE– Be as thoughtful in picking investing partners as you

are operating partners and employees– Sometimes, this means taking less money or a lower

valuation from a better partner

• DO NOT overcapitalize the business – Bad habits, reduced optionality – see Color, Airtime

• Build an array of key mentor relationships

Page 12: Google Lecture Series presentation at U of Michigan School of Information

You want them…but will they want you?

• Perhaps, if you have:– A razor sharp vision, clearly articulated– A hard/interesting problem you are solving

and/or a pressing need you are addressing– A beautiful demo that shows the power of

the product and has a good design aesthetic

– A grip on your costs over the next 18-24 months

– Unbridled passion for the mission you’ve outlined

– Chemistry with the investor(s)

Page 13: Google Lecture Series presentation at U of Michigan School of Information

What if they say no?

• Don’t take it personally– Expect to succeed, but be prepared to fail

• Really listen for concrete feedback

• Be honest with yourself– Is your idea dumb? – Too small for venture financing? – Did you do a crappy job telling the story? – Or is the market simply missing the boat?

• The best companies are often contrarian plays– If you really feel the market is wrong, ramp down cash burn,

raise more angel $, and try to get some paid pilots to fund further build-out of the business

Page 14: Google Lecture Series presentation at U of Michigan School of Information

The punch line

• Follow your passion• Seek out great mentors• If you are the masochistic type and want to

start a company, know what you’re signing up for

• Find an awesome partner• If taking money, optimize for chemistry and

value-add, not simply valuation• Get some thick skin• ALWAYS REMEMBER THAT YOU ARE A MICHIGAN

WOLVERINE

Page 15: Google Lecture Series presentation at U of Michigan School of Information

Roger EhrenbergIA Ventures

@[email protected]