Top Banner
Startup 2.0: A Silicon Valley Story Sourcing, Selecting & Engineering Better Startups via Incubators, Metrics & Iterative Development Dave McClure, Founders Fund (twitter: @DaveMcClure) Hong Kong Cyberport VC Forum November 2009
36

Startup 2.0: From Silicon Valley to Hong Kong

Aug 26, 2014

Download

Economy & Finance

Dave McClure

Slides from my talk at the Cyberport Venture Capital Forum, Hong Kong (November 2009).
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Page 1: Startup 2.0: From Silicon Valley to Hong Kong

Startup 2.0:A Silicon Valley Story

Sourcing, Selecting & Engineering Better Startups via Incubators, Metrics & Iterative Development

Dave McClure, Founders Fund(twitter: @DaveMcClure)

Hong Kong Cyberport VC ForumNovember 2009

Page 2: Startup 2.0: From Silicon Valley to Hong Kong

Silicon Valley Startup Funding Ecosystem

Angels & Incubators($0-10M)

“Seed” Funds ($10-50M)

“Small” VC Funds ($50-250M)

“Large” VC Funds (>$250M)

Union Square VenturesFirst Round Capital

BenchmarkSequoia

Y-CombinatorTechStars

FF II

FF I

FF Angel

fbFundREV

SoftTech (Clavier)Maples InvestmentsFelicis (Senkut)SV Angel (Conway)

Page 3: Startup 2.0: From Silicon Valley to Hong Kong

Topics• Venture Capital 1.0 = *Broken Model* (for Internet Startups)• M&A Trends: More, but Smaller Acquisitions, Very Few IPOs• Incubators: Many Experiments (most FAIL, a few winners)• Metrics: Define “Success”, Measure & Iterate (Fast + Feedback)• Platforms 2.0: Social, Mobile, Micro, Inbox, SEO

Page 4: Startup 2.0: From Silicon Valley to Hong Kong

[Pardon The Blatant Commercial]

Page 5: Startup 2.0: From Silicon Valley to Hong Kong

Dave McClure

2001-2009:• Startup Investor: 500 Hats LLC, Founders Fund• Tech Marketing: PayPal, Simply Hired, Mint• Advisor, Angel Investor: 40+ Startups• Conf. Organizer: Web 2.0, O’Reilly, Startonomics• Stanford Visiting Lecturer: Facebook, Startup Metrics

80’s & 90’s:• Entrepreneur: Founder/CEO Aslan Computing (acq.)• Developer: Windows Apps / SQL DB Admin• User Groups: E-Commerce, Internet, Client-Server• Engineer: Johns Hopkins ‘88, BS Eng / Applied MathGEEK, CODER,

ENTREPRENEUR

Blogger, Startup AdvisorInternet Marketing, Angel/VC Investor

Page 6: Startup 2.0: From Silicon Valley to Hong Kong

Personal Investments (13 deals, 2004-2008, ~$25K avg)

Page 7: Startup 2.0: From Silicon Valley to Hong Kong

Professional Investments (37 deals, Dec 2008 - Nov 2009, ~$75K avg)

fbFund Incubator22 deals ($850K)

~$15-75K

FF Angel LLC15 deals ($1.5M)

~$50-250K

Page 8: Startup 2.0: From Silicon Valley to Hong Kong

Founders Fund (Selected Investments, 2005-2009, range $1M-20M)

Page 9: Startup 2.0: From Silicon Valley to Hong Kong

Venture Capital 1.0 = Too Big To FAIL WIN?(at least for *Internet* Startups)

Page 10: Startup 2.0: From Silicon Valley to Hong Kong

Startup Funding Ecosystem

Angels & Incubators($0-10M)

“Seed” Funds ($10-50M)

“Small” VC Funds ($50-250M)

“Large” VC Funds (>$250M)

Union Square VenturesFirst Round Capital

BenchmarkSequoia

Y-CombinatorTechStars

FF II

FF I

FF Angel

fbFund REV

SoftTech (Clavier)Maples InvestmentsFelicis (Senkut)SV Angel (Conway)

Page 11: Startup 2.0: From Silicon Valley to Hong Kong

Venture Capital: Still Relevant?

Good 4 big CAPex:• Hardware• Enterprise SW• Clean Tech• BioScience• Wineries (?)

Not So Great 4:• Internet Startups• Consulting Shops• Lifestyle Biz• Porn, Gambling

Page 12: Startup 2.0: From Silicon Valley to Hong Kong

More & Smaller Acquisitions• Big, Mature Internet Platform

Co’s:– Google, MSFT, Yahoo, Ebay,

Amazon, AOL, IAC, Facebook, NewsCorp, Apple, etc

• Lots of Users, $$$• Outsourcing Innovation• Lots of M&A (but small)• Great for Angels &

Entrepreneurs• … Not so Great for VCs

Page 13: Startup 2.0: From Silicon Valley to Hong Kong

Startup Incubators Lots of Hot, Cool, Web 2.0!

(+ lots of FAIL, too.)

Page 14: Startup 2.0: From Silicon Valley to Hong Kong

Incubator 2.0 Model

Method: Invest in startups using incremental investment, iterative development. Start with lots of small experiments, filter out failure, and expand investment upon success.

• Incubator: $0-100K (“Micro-Seed”)• Angel: $100-$1M (“Seed”)• VC: $1M-$5M (“Series A, B”)

Page 15: Startup 2.0: From Silicon Valley to Hong Kong

Incubator 2.0: Fast, Cheap, FAIL• Incubators growing in popularity, acceptance• Supportive ecosystem for startups (angels, VCs)• Efficient use of investment capital ($0-100K)• High fail rate (60-80%) => large initial sample size

Page 16: Startup 2.0: From Silicon Valley to Hong Kong

Incubator 2.0: Education, Collaboration

• Emphasis on education, access to shared resources• Success based on common platforms, physical proximity, open &

collaborative environment• Success based on fast fail, iteration & feedback• Incremental investment; high-risk, but high-reward

Page 17: Startup 2.0: From Silicon Valley to Hong Kong

fbFund REVfbFund REV: Facebook “Social” Incubator: invest in startups, apps,

websites based on Facebook platform, Facebook Connect.• 25 startups (2 non-profits)• $850K total investment (~$35K each)• 12-week mentorship program in Palo Alto, CA• ~25 Advisors / Speakers (Entrepreneurs, Geeks, Investors)

Page 18: Startup 2.0: From Silicon Valley to Hong Kong

fbFund REVfbFund REV: Facebook “Social” Incubator: invest in startups, apps,

websites based on Facebook platform, Facebook Connect.

• Education on Tech, Design, Marketing, Business topics • Demo Day with >200 VC, Angel Investors• Target: ~7-10 seed round investments ($250K-$1M)• Success: ~6 startups already funded, ~5 @ break-even

Page 19: Startup 2.0: From Silicon Valley to Hong Kong

Investment #1: Micro-Seed(“Incubator”)

• Structure– 1-3 founders– $25-100K investment– Incubator environment: multiple peers, mentors/advisors

• Build Functional Prototype / “Minimum Viable Product” (MVP):– Concept->Alpha, ~3-6 months– Develop Minimal Critical Feature Set => Get to “It Works”– Instrument Basic Dashboard, Conversion Metrics– Test Cust. Adoption (10-1000 users) / Cust. Satisfaction (Scale: 1-10)– Connect with Advisors & Mentors, Angels/VCs

• Demonstrate Concept, Reduce Product Risk, Test Functional Use• Develop Metrics & Filter for Follow-on Investment

Page 20: Startup 2.0: From Silicon Valley to Hong Kong

Investment #2: Seed(“Angel”)

• Structure– 2-5 person team– $100-$1M investment– Syndicate of Angel Investors / Small VC Funds

• Improve Product, Expand Market, Test Revenue:– Alpha->Beta, ~6-12 months– Customer Sat ≥ 6 => Get to “Doesn’t Suck”– Setup A/B Testing Framework, Optimize Conversion– Test Marketing Campaigns, Customer Acquisition Channels – Connect with Advisors, Investors, Key Hires

• Prove Solution/Benefit, Assess Market Size• Test Channel Cost, Revenue Opportunity• Determine Org Structure, Key Hires

Page 21: Startup 2.0: From Silicon Valley to Hong Kong

Investment #3: Series A(“Venture”)

• Structure– 5-10 person team– $1M-$5M investment– VC Investors

• Scale Business, Get to Sustainability:– Beta->Production, 12-18 months– Rigorous A/B Testing, Optimize Conversion– Customer Sat ≥ 8 => “It Rocks, I’ll Tell My Friends”– MktgPlan => Predictable Channels / Campaigns + Budget– Scalability & Infrastructure, Customer Service & Operations– Connect with Marketing / Distribution Partners

• Prove/Expand Market, Operationalize Business• Future Milestones: Profitable/Sustainable, Exit Options

Page 22: Startup 2.0: From Silicon Valley to Hong Kong

Startup Metrics & The Lean Startup

Measure Stuff. Iterate. Rinse & Repeat.

Page 23: Startup 2.0: From Silicon Valley to Hong Kong

The Startup Metrics Religion

• Progress ≠ Features (Less = More)• Focus on User Experience (& Distribution)• Measure Conversion; Compare 2+ Options• Fast, Frequent Iteration (+ Feedback Loop)• Keep it Simple & Actionable

Page 24: Startup 2.0: From Silicon Valley to Hong Kong

Minimize TOTAL time through the loop

LEARN BUILD

MEASURE

IDEAS

CODEDATA

Source: Eric Ries, The Lean Startup

Page 25: Startup 2.0: From Silicon Valley to Hong Kong

The Startup Pyramid(Sean Ellis, Startup-Marketing.com)

[email protected]: startup-marketing.com

Page 26: Startup 2.0: From Silicon Valley to Hong Kong

Startup Metrics for Pirates

• Acquisition: users come to site from various channels• Activation: users enjoy 1st visit: "happy” experience• Retention: users come back, visit site multiple times• Referral: users like product enough to refer others• Revenue: users conduct some monetization behavior

AARRR!

(note: If you’re in a hurry, Google “Startup Metrics” & watch 5m video)

Page 27: Startup 2.0: From Silicon Valley to Hong Kong

AARRR!: 5-Step Startup Metrics Model

Website.com

Revenue $$$

Biz DevAds, Lead Gen, Subscriptions, ECommerce

Acquisition

SEOSEM

Apps & Widgets

Affiliates

Email

PR Biz Dev

Campaigns, Contests

Direct, Tel, TV

Social Networks

Blogs

Domains

Retention

Emails & Alerts

System Events & Time-based

Features

Blogs, RSS, News Feeds

Page 28: Startup 2.0: From Silicon Valley to Hong Kong

Startup ChallengesStartups have problems in 3 key areas:

• Management: Setting Priorities, Defining Key Metrics, Creating Dashboard, Reporting Progress

• Product: Building the “Right” Features, Getting Product Out Quickly, Testing for User Conversion / Adoption

• Marketing: Accessing “Web 2.0” Channels (Search, Social, Viral, New Media), Cost-Efficient Distribution

Page 29: Startup 2.0: From Silicon Valley to Hong Kong

Role: Founder/CEOQ: Which Metrics? Why?A: Focus on Critical Few Actionable Metrics

(if you don’t use the metric to make a decision, it’s not actionable)

• Hypothesize Customer Lifecycle• Target ~3-5 Conversion Events (tip: Less = More)

• Test, Measure, Iterate to Improve

Page 30: Startup 2.0: From Silicon Valley to Hong Kong

Role: Product / EngineeringQ: What Features to Build? Why? When are you “Done”?A: Easy-to-Find, Fun/Useful, Unique Features that

Increase Conversion (stop iterating when increase decelerates)

• Wireframes = Conversion Steps• Measure, A/B Test, Iterate FAST (daily/weekly)• Optimize for Conversion Improvement

– 80% on existing feature optimization– 20% on new feature development

Page 31: Startup 2.0: From Silicon Valley to Hong Kong

Role: Marketing / Sales

Q: What channels? Which users? Why?A: High Volume (#), Low Cost ($), High Conv (%)

• Design & Test Multiple Marketing Channels + Campaigns• Select & Focus on Best-Performing Channels & Themes• Optimize for conversion to target CTAs, not just site/landing page• Match/Drive channel cost to/below revenue potential

• Low-Hanging Fruit: – Blogs– SEO/SEM– Landing Pages– Automated Emails

Page 32: Startup 2.0: From Silicon Valley to Hong Kong

Platforms 2.0Social, Mobile, Micro, Inbox, SEO

Page 33: Startup 2.0: From Silicon Valley to Hong Kong

Web 2.0 = Good Business

• 1) Take Existing Good Business Ideas• 2) Add [a little] Technology

– Blogs, Twitter, Facebook Connect– Email & SEO– Social Networks & Friend/Follower lists– Online Payments

• 3) Increase Distribution, Lower Customer Acquisition Cost with Internet

• PROFIT!

Page 34: Startup 2.0: From Silicon Valley to Hong Kong

Platform Viability

Users . . Money

Features

Growth Profit

ProfitableGrowth

Nirvana

Successful Platforms have 3 Things:1) Features2) Users3) Money

Page 35: Startup 2.0: From Silicon Valley to Hong Kong

Platforms: HOT or NOT?• Social: Facebook, Twitter, LinkedIn, MySpace?• Mobile: iPhone, Android?, Palm?, • Micro: Twitter, IM/Chat• Inbox: Gmail, YahooMail, Hotmail?, AOL?• SEO: Google (Search), Yahoo?, Bing?

• Social Networks: Facebook, MySpace, LinkedIn, Twitter, Orkut, hi5, Friendster• Email & IM: Yahoo, MSFT, Google, AOL, Skype• Mobile: iPhone, Palm, Android, Blackberry, etc• Gaming: Zynga, RockYou, Slide, Playfish, SGN• E-Commerce: Amazon (1-Click), eBay (PayPal), Apple (iTunes), Facebook?• Dev: Amazon (AWS), Google AppEngine, Ruby/Rails, Python/Django, etc• Other: SalesForce, Craigslist, Wikipedia, YouTube

Page 36: Startup 2.0: From Silicon Valley to Hong Kong

Summary• VC 2.0 = Fewer, Smaller Funds (<$100M)• Liquidity = More, Smaller Acquisitions (<$100M)• Model = Singles (Ichiro), not Home Runs (Barry Bonds)• Diligence = Lots of Little Checks (+ Metrics + Time)• Incubators = Many Small Experiments (most FAIL),

Education + Shared Resources, Incremental Investment• Startup Metrics = Define, Measure, Iterate• Platforms = Distribution + Monetization, not Technology