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Proposed Agenda

• Review OATV investment opportunity
• Update on fundraising and first close
• Explore OATV’s investment thesis: “Watching the
  Alpha Geeks”
• Feedback/Next Steps




                                                2
                                                    2
Investment Opportunity Review

• Seed investments in the $500K +/- range
• Participate in Series A round with top-tier
  venture funds (an additional $1-3M) or sell to
  strategic buyer
• Total investment: $1-4M
• Maintain a board seat
• Leverage O’Reilly to validate and promote start-
  up technologies through books, blogs, online
  sites, and conferences
• Historical performance: 41% annualized IRR


                                                     3
                                                         3
Investment Thesis:
       “Watching the Alpha Geeks”
• O’Reilly identifies emerging technology trends by
  watching the cutting edge individuals
• An accepted marketing discipline, known in other
  industries as “Coolhunting”
   – Fashion, Sports, Toys, Video Games
   – “Who is the coolest kid you know?”
• Essence of Alpha Geek watching or Coolhunting is
  pattern recognition




                                                5
                                                     5
Pattern Recognition

• Some obvious patterns: Moore’s Law; The Dot
  Com Boom and Bust; The World is Flat
• Other patterns are the product of fragile
  intuition that seemingly unrelated items are
  deeply connected
• OATV pattern recognition methodology:
   – Identify the Alpha Geeks and watch what
     they’re doing
   – Integrate seemingly unrelated signals that
     indicate broader technology trends


                                                  6
                                                      6
Identifying the Alpha Geeks
• Ask network of O’Reilly authors, advisors and
  entrepreneurs: “Who’s doing the most
  interesting work in your field?”
   – FOO Camp
   – Conferences
   – Books
• Triangulation as a filter: when someone shows
  up in 2-3 di!erent contexts, pay attention
   – Joshua Schachter: blogging, mapping and
     social software
• Find where they collaborate
   – P2P in 2001: decentralization@yahoo.com


                                                  7
                                                      7
How We Find Signals Showing a New
         Technology Trend

• Non-Standard Data Sources
   – If you want accurate non-consensus forecasts, it helps
     to have data sources not used by everyone else
• Examples:
   – BookScan- measure book sales (Amarank Tool)
   – Netscan– ask the computers rather than the users
   – Google AdWord Technology- measure cost per click
   – Simply Hired- millions of technology job postings
   – Del.icio.us- tag volume
   – Yahoo Search Terms- popular tech terms




                                                          8
                                                              8
Use Alpha Geeks and Signals to
     Identity Long Term Trends &
       Investment Opportunities
• If a trend takes hold, what primary and
  secondary companies benefit? Past examples:
   – The Internet
       • eBay, Sun, Cisco, Oracle
   – Open Source
       • Red Hat, MySQL, Google, Yahoo!
   – Screen scraping
       • IBM, Microsoft, Amazon, Flickr




                                               9
                                                   9
Examples of Trends We’ve Identified
and Related Investment Opportunities




                                       10
Data is the Next “Intel Inside”

• Technology trend: Applications are increasingly
  data driven; the technology or even look and
  feel of the application is easily copied
• Investment thesis: Companies that own unique,
  hard to recreate sources of data may lead to an
  Intel-like single source of competitive advantage
• Example: Navteq




                                                 11
                                                      11
Data is the Next “Intel Inside”




                                  12
                                       12
Designed for Participation


• Technology trend: Successful software projects
  are architected to be used easily as a component
  of a larger system
• Investment thesis: Software companies that keep
  their product modular, well documented and
  under a license that doesn’t hinder
  recombination will attract more users
• Example: Amazon.com




                                                13
                                                     13
Designed for Participation




                             14
                                  14
Participation by Default

• Technology trend: Only a small percentage of
  Internet users will go to the trouble of adding
  value to a web site
• Investment thesis: Companies that have
  services which make participation the default
  choice will grow faster
• Example: Flickr




                                                    15
                                                         15
Participation by Default




                           16
                                16
Software as a Service
            (the perpetual beta)
• Technology trend: When devices and programs
  are connected to the Internet, applications are
  no longer software artifacts: they’re ongoing
  services
• Investment thesis: Companies that don’t
  package up new features into monolithic
  releases but rather engage users as real-time
  testers satisfy their customers’ needs and
  requirements
• Example: Google



                                                17
                                                     17
Software as a Service




                        18
                             18
The Long Tail

• Technology trend: Many of the limiting factors
  from the physical world are absent on the
  Internet.
• Investment thesis: Companies can use the
  power of the computer to monetize niches
  formerly too small to be commercial.
• Example: MySpace




                                                   19
                                                        19
The Long Tail




                20
                     20
Software Above the Level of a Single
              Device
• Technology trend: The PC is no longer the only
  access point for networked applications
• Investment thesis: Companies should design
  their applications to integrate services and share
  data across bound and mobile devices, Internet
  servers and services
• Example: Apple




                                                  21
                                                       21
Software Above the Level of a Single
             Device




                                   22
                                        22
Remixing of Existing Apps and
             Technologies
• Technology trend: When content is digital, it
  lends itself to being broken down and remixed
• Investment thesis: Companies that build their
  business model from the smallest atomic units
  will be more competitive
• Example: Salesforce.com




                                                  23
                                                       23
Remixing of Existing Apps and
        Technologies




                                24
                                     24
OATV Investment Thesis

         Watch Alpha Geeks



Identify Signals Indicating New Trend




Invest in Companies Leveraging Trend



                                        25
                                             25
Feedback and Next Steps




                          26

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Oatv presentation(1 14-06)edit

  • 1.
  • 2. Proposed Agenda • Review OATV investment opportunity • Update on fundraising and first close • Explore OATV’s investment thesis: “Watching the Alpha Geeks” • Feedback/Next Steps 2 2
  • 3. Investment Opportunity Review • Seed investments in the $500K +/- range • Participate in Series A round with top-tier venture funds (an additional $1-3M) or sell to strategic buyer • Total investment: $1-4M • Maintain a board seat • Leverage O’Reilly to validate and promote start- up technologies through books, blogs, online sites, and conferences • Historical performance: 41% annualized IRR 3 3
  • 4. Investment Thesis: “Watching the Alpha Geeks” • O’Reilly identifies emerging technology trends by watching the cutting edge individuals • An accepted marketing discipline, known in other industries as “Coolhunting” – Fashion, Sports, Toys, Video Games – “Who is the coolest kid you know?” • Essence of Alpha Geek watching or Coolhunting is pattern recognition 5 5
  • 5. Pattern Recognition • Some obvious patterns: Moore’s Law; The Dot Com Boom and Bust; The World is Flat • Other patterns are the product of fragile intuition that seemingly unrelated items are deeply connected • OATV pattern recognition methodology: – Identify the Alpha Geeks and watch what they’re doing – Integrate seemingly unrelated signals that indicate broader technology trends 6 6
  • 6. Identifying the Alpha Geeks • Ask network of O’Reilly authors, advisors and entrepreneurs: “Who’s doing the most interesting work in your field?” – FOO Camp – Conferences – Books • Triangulation as a filter: when someone shows up in 2-3 di!erent contexts, pay attention – Joshua Schachter: blogging, mapping and social software • Find where they collaborate – P2P in 2001: decentralization@yahoo.com 7 7
  • 7. How We Find Signals Showing a New Technology Trend • Non-Standard Data Sources – If you want accurate non-consensus forecasts, it helps to have data sources not used by everyone else • Examples: – BookScan- measure book sales (Amarank Tool) – Netscan– ask the computers rather than the users – Google AdWord Technology- measure cost per click – Simply Hired- millions of technology job postings – Del.icio.us- tag volume – Yahoo Search Terms- popular tech terms 8 8
  • 8. Use Alpha Geeks and Signals to Identity Long Term Trends & Investment Opportunities • If a trend takes hold, what primary and secondary companies benefit? Past examples: – The Internet • eBay, Sun, Cisco, Oracle – Open Source • Red Hat, MySQL, Google, Yahoo! – Screen scraping • IBM, Microsoft, Amazon, Flickr 9 9
  • 9. Examples of Trends We’ve Identified and Related Investment Opportunities 10
  • 10. Data is the Next “Intel Inside” • Technology trend: Applications are increasingly data driven; the technology or even look and feel of the application is easily copied • Investment thesis: Companies that own unique, hard to recreate sources of data may lead to an Intel-like single source of competitive advantage • Example: Navteq 11 11
  • 11. Data is the Next “Intel Inside” 12 12
  • 12. Designed for Participation • Technology trend: Successful software projects are architected to be used easily as a component of a larger system • Investment thesis: Software companies that keep their product modular, well documented and under a license that doesn’t hinder recombination will attract more users • Example: Amazon.com 13 13
  • 14. Participation by Default • Technology trend: Only a small percentage of Internet users will go to the trouble of adding value to a web site • Investment thesis: Companies that have services which make participation the default choice will grow faster • Example: Flickr 15 15
  • 16. Software as a Service (the perpetual beta) • Technology trend: When devices and programs are connected to the Internet, applications are no longer software artifacts: they’re ongoing services • Investment thesis: Companies that don’t package up new features into monolithic releases but rather engage users as real-time testers satisfy their customers’ needs and requirements • Example: Google 17 17
  • 17. Software as a Service 18 18
  • 18. The Long Tail • Technology trend: Many of the limiting factors from the physical world are absent on the Internet. • Investment thesis: Companies can use the power of the computer to monetize niches formerly too small to be commercial. • Example: MySpace 19 19
  • 19. The Long Tail 20 20
  • 20. Software Above the Level of a Single Device • Technology trend: The PC is no longer the only access point for networked applications • Investment thesis: Companies should design their applications to integrate services and share data across bound and mobile devices, Internet servers and services • Example: Apple 21 21
  • 21. Software Above the Level of a Single Device 22 22
  • 22. Remixing of Existing Apps and Technologies • Technology trend: When content is digital, it lends itself to being broken down and remixed • Investment thesis: Companies that build their business model from the smallest atomic units will be more competitive • Example: Salesforce.com 23 23
  • 23. Remixing of Existing Apps and Technologies 24 24
  • 24. OATV Investment Thesis Watch Alpha Geeks Identify Signals Indicating New Trend Invest in Companies Leveraging Trend 25 25
  • 25. Feedback and Next Steps 26