Initial Experience with Twine

Today Nova Spivack has taken the covers off of Twine and he will demonstrate it today at the Web 2.0 conference.  My prior post on knowledge networks was an attempt to lay the predicate for the concept of Twine as a knowledge network.  So I'll now make this more concrete to explain how I have been using Twine to build my own knowledge network during our initial alpha period.

Knowledge networking is what we VCs do in real life.  I am constantly asking

  • "Whom do we know that knows about this" 
  • "Didn't we talk to someone a year ago who knew something about this?" 
  • "Isn't company X a likely customer of company Y and what do we know about companies X and Y"
  • "Didn't [partner z] do a reference check that referred to this new technology some time ago?"

Like everyone, we make heavy use of the web, often sending to each other the  things we have found that might be of long-term interest or relevant to a current project. Within the partnership we communicate largely through email and then we meet every Monday to sync our activities and processes.  Organizational memory is largely in our heads.

My use of Twine is trivially easy.  I use two 'on-ramps'.  One is that I bcc: my Twine account with all my emails.  (I also set up some rules in my inbox to forward copies of certain emails to Twine as well, but my email rules are not as smart and extensive as Twine.)  The other on-ramp is I use the Twine bookmarklet as I browse with Firefox.   These two methods capture pretty everything I  consume in my business life.

As the emails come into Twine, Twine enriches the email to find companies, people, and places in the body. These enriched links connect to other content I have captured as well as Wikipedia and other sources.   So now I have a thread I can follow of what else I know, read, or can find that is relevant to answer the questions above.   This is less critical in the moment than it is  days or weeks after I  receive the new information.

I do the same thing as I browse.  When I find something of interest, I can immediately "bookmark" it into Twine and associate it with the things that I track in Twine.  (I have a personal account and am a member of several Twine  groups, including the Radar Networks Board of Directors group.  Other members of the group see the same information I have place into the group's Twine account. 

This is the real power of Twine.  All the information I have been accumulating has been intelligent interconnected as a personal semantic web of knowledge.  That mimics my own ability to recall what I know.  I don't find this that interesting, yet, because my use of Twine is relatively recent.  Ten years from now, my long term recall of what I knew today will be greatly diminished, unless I use Twine.  More immediately, everyone in my groups (Crosslink Capital, Radar Networks, etc.) benefits from attaching their knowledge networks to mine.  This really allows us to create a group diligence process that represents and leverages everything we, as a firm, know.  It means I know can truly leverage the knowledge and relationships my partners accumulate. The enrichment means we all get more than we put in as we use the product.  This basic process of structure knowledge capture and sharing is nearly universal in business, from major account sales processes to product design collaborations.  We all know that email is fundamentally broken as knowledge capture, retention, and sharing tool.

There is a lot in Twine I don't use, to be honest.  Photos, videos, and threaded discussions are all part of the application.  I don't need this, today, though perhaps in the future.  And there is a lot I'd still like to see in the application, including support for  meeting creation and calendaring synchronization.

The challenge with Twine is discovering all the consumer and business use cases and bubbling them to the top.  But for a terminal early adopter, I have to say it's really going to become an important enhancement to the way I communicate and accumulate what I know (and who I know.)

This is going to be a slower rollout than most web applications.  There is a lot we don't yet know about how to best package it as well as people's usage patterns.  The computing machinery behind the curtain is substantial.  So we still have a lot to do to understand some mundane but essential things like what it costs to support a user.  So please be patient.  The private beta is likely to last quite a long time until we get this right.  We are rapidly learning to live by Thoreau's guidance to simplify, simplify, simplify.

BBC & Mashups - What Would Karl Do?

About two weeks before my last post on Teqlo, I got an email from a producer at the BBC.  They wanted to talk about Teqlo.  (Actually they wanted to talk about Radar Networks, but stealth companies don't make for compelling telly, as they say across "the pond.") Josh Dilworth at Porter Novelli PR (Radar's firm) was kind enough to suggest they talk to me about Teqlo. The Porter Novelli team did an amazing job of getting feature stories on Radar in Business 2.0 and BusinessWeek.

Quandry... Can't talk about the new Teqlo positioning, gotta stay with the "mashups are cool and we do 'em" positioning. What to do? No time to consult the leading ethicist of our time - Karl Rove. Had to make the call on my own.

As a mentor of mine once said. "the Plan doesn't change until the Plan changes."  Notwithstanding the last post, we have not officially announced a new direction; so we are still officially going the same old direction until we go in a new direction.

The result?  BBC Video Link Love.

Here's a pointer to the web page for the show Click that was about Twitter, Teqlo, and other cool stuff.  Here's a pointer to the full 22 minutes of video (Teqlo is at about 10:00 minutes in).

And here's five minutes of me talking about the emotional range of fear, greed, love and loathing that make early stage investing so much fun.

Web 2.0 - Over and Out

Many of us in the VC community have been quietly wondering about the state of Web 2.0 innovation. We aren’t seeing much. Startup activity remains strong, but the consumer web landscape seems to be populated with the same bodies with different skins.  Another video deal here; another social networking deal there, and social [feature] everywhere.

The apogee of this Web 2.0 hit me on Friday when I was having lunch with my daughter in San Francisco.  There was a conversation at the table next to us between a 30-something and a 50-something, The younger was explaining to the elder that they had web site with the following attributes

  • Users can share any kind of information from files to photos
  • Storage isn’t expensive, so we don’t police it today, yet
  • Users can invite their friends; that’s how we get new users
  • We launched a few months ago and are doubling every month
  • We haven’t quite figured out our revenue model, but we think it is freemium (“Let me explain what that means…”)

Of course, this is the generic Web 2.0 company template. Overhearing the dialog felt like the 2007 version of Joe Kennedy getting stock tips from his shoe shine boy. Web 2.0 is in the water, drink up.

We now know the fourth quarter of 2006 witnessed the mainstreaming of Web 2.0.  It began with the YouTube acquisition, followed by a rather incumbent-centered Web 2.0 conference, culminating with the coronation of user-generated media as Time’s Person of the Year.

The notion of Web 2.0 as a wave is now rather long in the tooth, as cycles go. I believe Tim O'Reilly and John Battalle first coined the term in early 2004.

I thought one way to check the energy dissipation around “Web 2.0” would be to look at Web 2.0-centric media.  Three properties that one can reasonably say are pure plays in the Web 2.0 mainstream are Techcrunch, Gigaom, and Technorati.

[Note: the following Alexa data is NOT consistent with other sources.  Please see my subsequent post for additional data from Quantcast.com and Compete.com]

[3/28/07 Update: See this post by Frank at DeeplyGreen showing that Alexa data actually is corroborated by authoritative site data after all. Nice job Frank.]

Say what you will about Alexa ratings’ accuracy, all three of these properties show a similar falloff in Reach from their Q4 peaks, all notably right around the Web 2.0 Conference.

Techcrunch

Gigaom


Technorati_2













I am not suggesting that Web 2.0 services are losing steam.  On the contrary, the concepts are quite main stream.  Take the poster child for user-generated participatory content - Wikipedia (below).  It's a monster.      

Wikiped




Much of the "easy" innovation seems to have been wrung out of the Web 2.0 wave.  Web 2.0 was cheap - thanks to open source, simple - thanks to RSS/REST, and distinctive - thanks to AJAX and Flash.  It helped more than a little the Google has continued to entice us all with the abundant profits in Internet advertising.

Now the hard work begins, again.  The next wave of innovation isn't going to be as easy.   The hard problems in the WWW are no longer usability or ease of everyday content  creation.  These problems are solved. Digital cameras, SixApart, WordPress, and digital video cameras showed us how ease it could be.  Now the hard part is moving from Web-as-Digital-Printing-Press to true Web-as-Platform.  To make the Web a platform there has to a level of of content and services interoperability that really doesn't exist today.   

The Web today still resembles MS-DOS more than MS-Windows.   Every website is an island, an island that knows nothing about any other website.  This is no different than the world before the Windows Clipboard.  All 640KB of memory was available to whatever application was running.  The point of integration was the User.  As it is today.  Ask anyone who uses a SaaS application.

I am not alone in observing where the world is going.   The hard problems in the vision of a true web-as-platform  involve  all the usual hard computer science issues.  How can we normalize information from disparate sources to make it interoperable?  How do we get to a lingua franca without waiting for moribund standards (think CORBA and SOA)? How can we then manage the transition of legacy information and services into this world of interoperability?

VCs have always made money at finding the ideal point of friction between the Present and the Future.  Profits accumulate in the gap between What Is and What Is Possible.  Web  2.0 is now firmly in the category of What Is. 

The only thing I can say in defense of "Web 2.0" is that it's not "Venture Capital"Vc (from Google Trends).


Radar Begins To Raise Its Head

We had a board meeting yesterday at Radar Networks

One of the 'truths' of the VC business is the "Oh Shit" board meeting.  Generally, this is the board meeting where you find out the underlying basis for your investment was flawed.  John Jarve at Menlo Ventures holds the record.  As I understand it, he fought resistance from his partners to even get the UUnet investment done early in the Internet boom, AND at the first board meeting after the close the Company was already out of money! (I may have these facts wrong, but it still makes a good set-up.) He had to come back to the well after the Oh Shit Board meeting. UUnet ended up being a monster hit for John and for Menlo.

There is another "Oh Shit" board meeting.  This is the one where the idea begins to show real form and you finally see the materialization of your investment thesis. Software is a visual medium.  Imagine describing Visicalc to the Apple II user in 1979 while it was in development.  "Well you see, it is this non-procedural, general purpose, non-command line thing that solves equations."  Doesn't sound like a Killer App. 

Yesterday the team at Radar took many of the pieces they have been building and assembled their first real, usable demonstration of the platform they have built.  They have spent the better part of a year building a semantic applications platform. Now that the foundation is built, the scaffolding is quickly being raised. Nova's feeling bullish enough about this that he has started to open up a little bit about Radar.  At least he is telling the World what it isn't.  Dan Farber also picked up on this to give it some perspective.

Actually to all you VCs who have asked me about why I am interested in the Semantic Web as a theme and what I have seen that's interesting, I would suggest you read his post.  It does a nice job of laying out a larger framework for semantic applications in the course of beginning to define the sandbox in which Radar will play.  He does a nice job of trying to de-hype the Web 2/3/4 sequencing into more tangible and technical distinctions.

How to Double Your Valuation

That got your attention, didn’t it?  Maybe I learned something from all those enlargement offers in my email after all.

Now, let’s get down to business.  I re-learned something last week.  Focus sells.  Duh.  I'll be specific.  Last week I saw two remarkably different pitches, both from companies with great technology.  One sold the generality of what they could do, telling a Big Story.  The other told a Focused Story about an existing customer base they were going to serve better. .They explicitly avoided  in the pitch any mention of where else their technology might apply.  That was the voice over in the conversation around the pitch. All other things were equal  -- limited management team, pre-launch, working alpha. 

I struggled with the Big Story Company, befuddled about who would really use this.  I jumped out of my chair (metaphorically) to chase the Focused Story, because I could envision so many more uses beyond the first beachhead market.  VCs are great at imagining a big Future, but most of us want an anchored Present.  The Big Story Company was hoping for a valuation $10M pre-money.  The Focused Story already had a term sheet at $20M when we met.

There is an enormous temptation in startups to think and talk expansively about a long-term vision centered on the technology of the Company.  That vision often includes the word enable as in we will enable … That’s your first clue.  Enable is one of those value-halving words.  So are Discover, Context, Create, and Build. All those words really say, The proof of value is left to someone else. That applies equally to the valuation. The proof of value is left to someone else because we can't articulate it. 

Companies started by technologists routinely fall into this trap. (I mean both business and engineering technofiles, BTW)  They don’t start with the intent of solving a specific problem. They start with the intention of “leveraging” a specific technology.  The fact that the technology is a piece of many potential futures seduces the team to think they have a big opportunity.  It is uncomfortable for the team to commit to a market because they don’t know the end user.  There are two solutions to this. Turn inward and build technology, or turn outward and recruit people who do understand the solution.  It is dilutive, but if it doubles your value, you can’t afford not to do it. 

Years ago I was on the board of a company that had phenomenal technology for building predictive models from text or data.  The team had identified potential applications in CRM,  online advertising, search, database marketing, customer support, and others.  The CTO referred to the product as a bolt-on brain, because it made many existing applications much smarter.  The problem was that the technology was 10% of any given solution, even though it was the piece that differentiated the rest of the system. Capturing the other 90% required domain expertise not present in the team.  The Company never went deep, straddling several potential markets.  They were eventually acquired for the team and tech, not for the book of business it created.  It was an unsatisfying outcome for nearly everyone.  It was positive, but vastly under the potential.

So how do you double your valuation?  Pick one application; serve one type of customer and be in that business.  Show how you can conquer a specific set of competitors by virtue of the technology, but don’t be in the technology business.  If you can persuade your investors that the first beachhead is attainable and interesting, you will get credit for subsequent applications and the big, horizontal play. Tell a story that shows you understand who your customer is, how to get to them, and why they will buy or use your product/service. Show how powerful the technology and team are, but stay on message about the focus.  Let us imagine the Future.

  • Don’t enable – solve
  • Don’t provide context – provide conclusions
  • Don’t ask customers to build – ask them to use

Technology is raw material.  Create finished goods.

Enhance your value with this Vi@gr@ for startup companies. Your partners will love you for it.

EarlyStageVC 2.0

A bit of personal news. As of November 1, I have joined Crosslink Capital in San Francisco as a General Partner.  At one level the move is a small transition.  I move from two additional VC partners to five.  My practice has been centered on early stage, Internet services and software.  That’s exactly what Crosslink wants more of.`  So nothing major changes, except my commute.  So why the change? In a word – Relationships.

Crosslink has consistently been a top-quartile firm with its later stage investments and crossover investments.  Their ability to cross the investment spectrum is a huge advantage for limited partners. If you have read my series on Venture Capital 2.0, you know why I believe this is true. That same cross-spectrum footprint is also a huge advantage for an early stage investor like me. Let me explain why. 

Early stage companies go through predictable phases.  First, it is about the Product. Then it is about the early Customers. Then it is about the Partners. Then it is about the Investment Community.  All along the team is changing, expanding, and improving.

The successful early stage companies have two fates – they either get acquired at nice prices or they go public.  Either way, these companies benefit enormously from having ‘friends’ that run in those circles. 

All VCs claim they have relationships as a core asset.  But our primary job as VCs is to have relationships that generate deals and then to help the companies in which we have invested.  Frankly, it is difficult to have a broad set of relationships with later stage private and public company executives and help my early stage companies and source new deals.  I think this is true for most VCs.  Broad and deep don’t mix.  There are only so many hours in the day, no matter how good you are.  Relationships take time. 

Crosslink invests all along the continuum, from early stage to buyouts, public investments, and even has a hedge fund.  Consequently there are professionals whose primary job day-in and day-out is to have CxO conversations with technology and media companies at all stages.  The Firm is organized (and financially structured) to maximize the collaboration across the spectrum to the benefit of the portfolio companies. 

So now I will have a fifteen very analytical professionals with up-to-the-minute rolodexes and context to help me and my companies. It’s that simple.  This is a relationship business.  I am joining one of the best, most organized, and current social networks in private equity investing.

Of course, this is the positive valence.  Every transition has a positive valence and a negative valence.  The negative valence is more complicated, less important, and consists of a set of personal and professional issues that do not need to be aired in a public forum.  I can tell you this. It wasn’t about “VC is broken” – it’s not; “Leapfrog is broken” – it’s not; “Rip got a more lucrative offer” – it’s not.  It was just a professional change I wanted to make.

The most important measure of the transition is the impact on my Leapfrog investments.  There will be none.  I will remain a Venture Partner at Leapfrog Ventures and continue to work with Radar, Riya, Teqlo, and Vast.  I will continue to represent Leapfrog and its investors to ensure these companies grow and thrive. I have a responsibility to Nova, Munjal, Jeff, and Naval, as well as to Leapfrog's investors.  Like I said, this is a relationship business.

This kind of transition is a common practice in the VC business.  It is only that my new investments will be made on the new set of books.   

All in all, perhaps the most observable change is that, after nearly 30 years in the South Bay, I will finally ride BART for the first time.  Right after my next breakfast at Bucks'. 

Venture Capital 2.0: Not So Separate, But Still Equal

A 1900 word finale in the series.  Part 1 is here. Part 2 is here.

The separation theorem is the foundation of Modern Finance.   Among other things, it is used by investors to construct optimal portfolios of investments based on underlying assumptions of risk, return, and correlation.  Limited partners (LPs) use this rationale to compute allocations of public versus private equities. Within private equity alternatives they further allocate between venture capital, LBOs, distressed debt, etc.  And within venture capital they allocate between early and late stage, market segment, national and local geographies, etc. 

Of course, each dissection introduces more random measurement variance as the analysis gets increasingly refined.  At some level, as I suggested in the prior post, the noise overwhelms the signal.  Funds of funds provide a very useful function in aggregating the volatility of individual private equity firms.  The theory is a Fund of funds can provide a lower beta than a direct VC fund investment.  The theory relies on reliable and persistent investment strategies of the underlying components – the VC funds themselves.

Many investors (pension funds, insurance companies, unions, etc.) also want to construct their own ‘optimal portfolios’ from private equity instruments.  So they overweight certain segments, such as buyouts, and underweight others, such as late stage technology venture capital funds. They, too, want the “pure plays” that portfolio theory demands.

Most VC funds, especially the newest ones, encounter an investors’ paradox.   They market themselves to LPs on a specific investment thesis (stage, sector, etc.) If they sense the original investment thesis no longer is a return-maximizing strategy, they face a difficult choice – pursue a new thesis to maximize return and become accused of ‘investment drift’ or remain a pure play and forgo top-quartile status.  Those who construct the portfolios (the LPs) want pure play strategies and top-quartile outcomes.

Some investors might consider this sturm und drang in VC ranks as part of the eternal Darwinian process of winnowing of investment managers.  But I think there is more to it.  The ballooning of the total amount of capital in private equity is changing the drivers of rates of return in venture investing.  The sheer number of practitioners is at all time high.  As a result, private equity markets are more efficient and more volatile.   This means that sustainable investment theses based on technical parameters are not as durable as they used to be.  Sometimes early is better; sometimes late.  Sometimes traditional private is better; sometimes PIPEs.  And venture capital is a long-only bet.  But while you can’t always pick the private winner, you often can pick the public losers.   The notion of a pure and enuring sector/stage theis is in jeopardy as a profit-maximizing strategy for any fund with a ten year life, or even a five year investment period.

Venture capital is evolving into two models.  One is the traditional model of the long-ball home run outcomes driving the portfolio.  For descriptive purposes, I refer to this as the Boutique Model. This is what we know as Venture Capital 1.0. It is the model practiced by most VCs today. This is becoming increasingly difficult for most, but not all, VCs.  This model relies on VC brand as a beacon to attract entrepreneurs. The brand owners rely on their networks to expose them to and validate proposals from the best entrepreneurs.  In theory, the best entrepreneurs are the tail of the distribution that can achieve that long-ball outcome. 

The 100x return has always been rare. The 10x return is becoming an endangered species, and  the  "not great, but I'll take it" feeling associated with the 5x is now a cause for celebration.  I illustrate this outcome compression in the associated graphic.Probabilities_2 These so-called "brand firms" have always operated at the right tail of the graph.  So the outcome compression from excess capital probably has minimal impact on them.  But those who pursue the traditional 'long-ball" strategy of VC and fail to attract those increasingly scarce 10X+ outcomes are likely to find themselves in that investors' paradox and scrambling to "re-define" their investment thesis.

The influx of capital and capitalists is changing the definition of the business.  When the public and private technology equity markets were less institutionally populated, the world of risk capital was segmented into separate businesses.  Early stage venture capital was a different business from private investments in public companies (PIPES).  Late stage venture investing was different from leveraged buyouts.    Shorts and longs were as different as night and day.

I say they were different businesses because the classic tests of business definition all pointed to this conclusion.  Reaching back to my early days at Bain & Company, we relied on three tests to assess if two lines of business were indeed the same business (I knew this stuff would come in handy some day).

  1. Do they serve overlapping sets of customers? (Shared Customers)
  2. Do they share overlapping sets of competitors? (Shared Competitors)
  3. Can you invest in one line of business and materially impact your cost position in the other?  (Shared Costs)

The more the answers to these questions were answered in the affirmative, the more likely the two initiatives were in the same business. And the VC industry is seeing more competition from other investment sources as all forms of risk capital converge.  These various forms of capital are not perfect substitutes.  Angels don’t compete mano-a-mano with hedge funds.  Seed VC funds aren’t bidding on LBOs.  But there is enough contamination at the edges in each class to cause asset inflation from increased total competition. This convergence is bidding up prices in all sectors. 

This is my core observation about venture capital.  It is no longer just a pure and separable business.  It is a feature of the overall business of providing risk capital. It is a product in a risk capital product line. Like many of my VC brethren, I am an early stage venture capitalist; I am a product line manager. As a principal in an early stage firm, I am a general manager in a single product company. Single product companies can be highly profitable or abject failures.  Lack of diversity is neither an asset nor a liability. It is simply an attribute. But the boutique segment is winnowing down to a very small handful of successful brands, representing a very small portion of the market.  The best brand-driven VC 1.0 firms will continue to succeed.  However, the sheer amount of total risk capital available will continue to make it difficult for many firms to build the very brands that drive predictable and continued success in VC 1.0.

If the basis for competition in the boutique segment is brand, what is the basis for competition in the larger business of risk capital? 

This brings me back to my  opening remarks about the separation theorem. The separation theorem assumes that individual investments have risk/return properties which are affected by the construction of the portfolio. An early stage investment's alpha and beta are not affected by the inclusion of a distressed debt instrument.  Now suppose the insight about how to price the distressed debt arose from knowledge you gleaned from the early stage investment. Or suppose a profitable public market short position arises from the insight acquired from chasing, but ultimately being outbid in pursuit of a 'hot' late stage investment.  Or suppose experience with a PIPE provides a source of market and customer diligence to generate ideas about potential new Series A companies to form and fund. I refer to this as a Crossover Model of risk capital. The crossover model is a model for Venture Capital 2.0.

It is best to illustrate with a hypothetical. Suppose I believe Apple is developing a Skype-like Ipod for release in 2007 and I believe it will successful.  I could simply communicate that to investors and let them construct portfolios of longs and shorts around this thesis (the separation theorem in action). Alternatively, I could use this to construct what I believe is a risk/return maximizing set of investments around the insight. I could place early stage bets (communication services), midstage bets (new battery technologies), and public bets (Apple) on the thesis.  If I go long on all bets, I have a better return than if I simply picked a market basket of early, midstage, and public technology companies. If I hedge my bet by shorting , instead I can perhaps construct a  better risk/return than a pure long, early stage VC position.  If I communicated the "Skype Ipod" insight to my investors, they could construct their own portfolios. But by communicating the thesis runs the risk of disclosure and loss of advantage.  The risk of disclosure is a real transaction cost. And the separation theorem assumes zero transaction costs.

The basis for competition in the Venture 2.0 Crossover model is a focus on markets, independent of stage, geography, and risk capital instrument. The Boutique model relies on a brand-generated magnet status to find outlier long-bets.  The Crossover model would rely on a full-spectrum view of private-to-public to generate an appreciation for inefficiencies in an otherwise fairly efficient market for risk capital.  Like everyone else in the industry, it faces the risk of competing for deals with marginal competitors who have excess cash burning a hole in their pockets.  However, unlike everyone else, the crossover firm can leverage the insight in multiple, non-competitive forms.

So Venture Capital 2.0 is increasingly about applying capital to market insights, across the continuum of private and public, early and late.  Move money where the insight-driven opportunities are.   This cuts directly against the grain of most LPs who want to combine investment products from great firms with different stage foci.  But in doing so, they give up the inherent advantage of cross-leveraging an insight with either hedges (to reduce risk) or additional longs (to increase return).  Financial and product markets are no longer independent. The hedge can be to go long in both the private upstart and the public incumbent.  The short can be to short the incumbent.  Finally, if  the startup loses to an incumbent, the lost capital may be recovered by shifting assets to the incumbent before the broader market fully appreciates the dynamic.

Venture Capital 2.0 is happening. The industry is consolidating into larger firms.  These larger firms, while still calling themselves VC funds, look nothing like the VC funds of 15 years ago.  They have multiple products (early, late, PIPE), multiple geographies, affiliate or satellite entities for distribution, etc.  Few are formally affiliated with hedge funds, but I believe that is inevitable.  The multi-year partnership structure is probably not in jeopardy -- investment managers will still need to finance private companies over several tranches.  However, the venture model of capital calls and distributions will likely give way to more evergreen or closed end funds in which capital can be recycled across investments.  This has its own valuation and liquidity issues. Nothing is perfect.

I began this series with a flippant remark about Venture Capital 2.0.  I don't think traditional venture capital is going away any time soon.  There is too much momentum, i.e., money.  But I do think there is a real alternative model for the practice of venture capital investment as a product within a larger risk capital portfolio.  It won't emerge soon.  LPs decision models are still based on a demand for venture products packaged to look like they conform to portfolio construction models. However, there is enough  "investment thesis drift" afoot these days that some private equity firms are going to realize that they can use this "drift" to their advantage and drift head-on into crossover forms of investing.

Thanks for taking the time. I hope you found it worthwhile. I don't claim to be a financial economist.  So if you are, and you think my reasoning is flawed, please let me know.

Venture 2.0 - Preamble

This the first in a series of posts on the idea of "Venture Capital 2.0."  I thought it was appropriate to first set the stage of Venture Capital 1.0 as the point of contrast.  This first post is obvious stuff to those of us who have been in the business for a while, but less so for the casual observer.

Venture Capital 1.0 - The Cycle
The venture capital business has always been a ‘hits’ business.  One of my first blog posts (about a year ago) was on the "long tail of venture capital." The average venture investment generates a negative rate of return, but the outliers like Google, Microsoft, Cisco, and Apple have given information technology (IT) venture capital its superior rate of return.  The IT venture capital industry has always been cyclical.  For forty years the cycle has repeated.  Outsized rates of return attract capital, increasing valuations, and depressing returns.  The depressed rates of return created capital scarcity, laying the foundation for lower valuations, better rates of return and a repeat of the cycle.  Public markets have played an important role in the process, providing both the public appetite for new issues, as well as currency for acquisitions of venture-backed companies by public technology companies.

The IT venture capital industry today finds itself in a form of ‘stagflation.’ The absence of interest by the public market has made liquidity difficult to achieve, making the 2000-2005 period a particularly depressing one for those who are incented by capital gains.  At the same time, the interest in U.S. venture fund investment by non-U.S. firms is at an all time high, inflating the size of funds and increasing competition.  Venture capital fees remain at a premium to most other asset classes, but not the returns.

Venture Capital 1.0 - Key Success Factors
Success in IT venture capital investing has been a form of capital and information arbitrage for much of the period up to the late 1990s.  The scarcity of risk capital and the scarcity of insight about evolution of technologies and technology markets made it possible for astute venture capital firms to transform access to capital and superior technological insight into superior returns.  For example, as Moore’s Law was driving the electronics industry to the mantra of smaller, cheaper, faster, Sequoia Capital built a franchise reputation in semiconductor venture investments, based on the experience of its two founders, Don Valentine and Pierre Lamond, both early veterans of National Semiconductor.  A more recent example is ComVentures’ growth and success in the late 1990s.  Seeing the triple effect of telecommunications deregulation, global Internet growth, and ever-changing technologies and standards, the principals at ComVentures capitalized on their market and technological knowledge to raise several early successful funds.

Success begat success in the venture business.  Since venture investments have had payoff characteristics like options, i.e. limited downside and infinite upside, the key to the business has been "deal flow."  Deal flow is about seeing as much of the total distribution of deals, to generate a larger set of 'long tail outcome' candidates.  Success made IT venture capital business a first-order Markov process, where the probability of the getting the next hit was enhanced by having a previous hit, precisely because of the desire of all entrepreneurs to affiliate with "known winners."  The two masters of this phenomenon have been Kleiner, Perkins, Caulfield & Byers and Sequoia Capital.  Both parlayed early successes into institutional franchises. Other firms, many as old or older, have been less effective at sustaining the self-reinforcing dynamic of brand and success.  The sequential evolution of the IT "food chain" from semiconductor (Intel, National) to systems (Apple, Sun, Dell) to software (Microsoft, Oracle) to services (Yahoo, Google) has been the underlying order.

As the U.S. venture capital industry posted record rates of return in the late 1990s, the industry attracted record levels of committed capital that remains in place today.  Despite the abysmal performance of the industry from 2000 to 2005, many firms have been able to attract investors and avoid the re-equilibration and shakeout that has been predicted for the past five years.  It seems that limited partners have become inured to the venture capital cycle, expecting a repeat of the historic boom/bust experiences of old, and to average their rates of return over the next few cycles. 

A belief in forward-averaging the returns assumes that history will repeat.  The thesis of these essays is that the venture cycle has fundamentally changed for Information Technology and that formulae that worked over the past 20-30 years no longer broadly apply. 

  • Globalization is both a risk and an opportunity with venture branding.
  • Capital is no longer scarce, nor is access to venture capitalists.
  • Information technology is no longer rarified and, in many cases, it is inexpensive.
  • Global 2000 Enterprises, once the 'go to' customer for any fledgling IT startups, no longer have the risk profile they once had for IT innovation.

As I said, these observations are not new, nor are they particularly insightful.  And some firms are already responding.  The move to Cleantech is a move to exit IT (or diversify) to find alternative industries.  The move to build Indian and Chinese outposts are brand extensions.   

Presumably the Limited Partners who invest in venture funds have more incentive than anyone to develop an investment thesis about Venture Capital 2.0.  The next post will concentrate on the barriers to doing this effectively.

VC Bubblespeak

My normally tough, rigorous, IT-focused partner actually said this today to justify why he liked a Web 2.0 company we saw.

Their technology is in the presentation layer.

OMG. We are at the Apocalypse.

Business Model, Schmizness Model

The term “business model” has bothered me for a long time.  I have always found it to be a glib method of characterizing a company’s relationship with its various constituencies, e.g., customers, suppliers, competitors, etc.  The problem isn’t really the concept.  The problem is that it’s a complex, multidimensional structure that doesn’t really lend itself to a summary sentence, at least not if you really want to understand the business.  Yet it one of those economic terms that has entered the popular lexicon as the rise of business schools in the 1970s and 1980s mainstreamed “businessperson” as a profession (like engineer, doctor, or lawyer).

Wikipedia does a decent job of summarizing the cacophony of ideas that are embodied in the term business model.  I won’t recount them here.  The reason the question “what’s your business model?” bothers me it that the inquirer often judges the answer based on its parsimony, as though simple is prima facie evidence of good.  Occam’s razor applied to business strategy. 

I myself will sometimes ask others the question, but I use it to test for complexity, not simplicity.  I use it as a Rorschach to see how deeply the respondent has thought about the market and which aspects of the business appear most salient to him or her. 

In preparing for this entry, I started to ask myself how do I think about a business model? And how do I test if business models are complete, coherent, and compelling?  When I worked at Bain in the early 1980’s the firm then specialized in ‘strategy’ and ‘business definition,’ equally amorphous concepts. (Amorphous is good when you bill by the hour).   We used to refer to three tests to define whether two companies were in the same business – similarities of cost structures, competitors,  and customers. 

So I sat down and drew this little graphic for myself to try and outline the key concepts that seem to appear in the “business models” of companies that I see in my practice.  I don’t claim this is complete or some form of ‘ground truth.’  It is a snapshot of the concepts that I most readily gravitate toward when I think about “what’s your business model?”   I am sure I have left out huge chunks that will become obvious when I go to my next deal pitch meeting tomorrow. 

Businessmodel
 

I am not going to explain every facet.  Most of it is self-evident (I hope).  However, a couple of things are worth noting.  First, at the center are the terms “lever” and “return on equity.”  I think of all these bubbles as knobs or levers in the machine that is a business.  Not all are equally important, but all are impactful choices that Management has made about the business, even if the choice is to ignore this facet.  Second, the objective I want to maximize is return on equity, not growth, not revenue, and not necessarily even market share, though these may be part of what generates ROE. 

I have enumerated some of the common choices more for illustration than prescription.  I should point out the category of “enterprise asset” because I think of this as a separate objective beyond barrier to entry.  The “enterprise asset” is that intangible that is the difference between book value and enterprise value.  It is the reason why an acquirer is drawn to the business beyond the NPV of the earnings stream.  It is the strategic value or what accountants call goodwill.  This box is particularly important in early stage investing, as the exits are so often around acquisition.  The business should have a clear definition of its ‘residual value’ to a potential set of acquirers.

Hopefully some will find this useful as a checklist.   There is nothing Web 2.0 about this framework.  And there shouldn’t be.  Business is applied microeconomics -- Web 2.0 or pest extermination (perhaps a poor juxtaposition – I need an editor.)  Anyway I feel better for having shared my quick and dirty model of a business model.  Thanks for listening.

So, quick, what's your business model, anyway?

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P.S.  I woke up this morning realizing I had overlooked where to place "advertising" in the mix. (Doh!)  This is a big enough oversight that I thought I better modify this before I get blogwhacked.  I think of advertising and cost per action as "transactions."  The reason for this is that advertising is really a form of variable micropayment, i.e., an attention tax.  It scales with an action -- page view -- so it is a form of transaction to me.