Posted:January 29, 2006

Peter Rip, the managing director of Leapfrog Ventures, has posted a very thoughtful piece in his EarlyStageVC blog on the ROI dilemma facing traditional VCs. It is titled Traditional Venture Capital Sure Seems Broken – It’s About Time.

Fewer VC dollars are going into early technology startups, and then at higher valuations and with larger amounts invested.  Meanwhile, technology has become democratized with faster times to market and with narrower innovation edges. This poses dilemmas both to VCs and to company founders, as Peter accurately notes:

The traditional venture capital model formula in technology was … a form of arbitrage based on two scarcities — risk capital and understanding of technology. Starting in 1995 the scarcity of both these drivers began to disappear….

The traditional venture capital model has been “fund twenty, pray for two.” Since you could only lose 1X your money, you could make it up with a couple of big hits. But big hits are fewer and much farther between than ever before. To make a modest venture return on a $500M fund, you need to generate $1B. Assuming you own an average of 20% of companies at the exit, you need to create $5B of shareholder value. If the average IPO valuation is $216M (per VentureOne, according to a WSJ article last week), that means you need 23 IPOs in a portfolio of 30 companies. The math worked when venture funds were $200M and exits were $500M. It doesn’t work when the numbers are reversed.

Venture capital is a three parameter problem. Buy Low, Sell High, Sell at the Right Time. Most people seem to have ignored the third parameter. Time-to-exit used to be 4-6 years. Then it collapsed to 2 years in the Bubble. Now it seems pretty much infinite. Divide by Zero and get infinite IRR. Divide by infinity and get -100% IRR. The proof is left to the Investor.

I can only see two venture capital strategies that make sense in this environment. One is to be small, focused, and totally aligned with market realities and founder incentives. … There is no magic to this strategy. It just takes discipline….

You would think that cheap, abundant capital was a great boon for entrepreneurs. It isn’t….Lots of cheap capital, available at high valuations seems great, until you do the exit math. Raise $8M at $12M pre-money and your post-money valuation is $20M. Your investors want to sell for $200M. Raise $2M at $4M pre- and your investors get the same rate of return at $60M. But a $60M exit is 10X more likely than $200M. [But] few VCs will write the $2M check these days, precisely because a $20M return doesn’t move the needle in a $500M fund. That’s why valuations are moving up . . . the need to invest more money  . . . not the intrinsic value of startups….

The other strategy is to be treat venture capital as one of many capital markets to search for inefficiencies across the private-public spectrum.

Smaller funding rounds align financing more closely to actual development needs and increase cash management discipline. The likelihoods of meaningful ROIs also go up for both entrepreneurs and VCs. Yet one dilemma is that smaller funding still imposes the same overhead costs to management and financiers in deal packaging and due diligence. As Peter notes, this can be an unacceptable cost to larger fund VCs. And, for entrepreneurs, this can also lead to the need for multiple rounds, dilution by a thousand cuts, and overhead burdens that detract from the real business of building a business.

I think Peter’s insights are very appropriate from the VC perspective.

But, as an entrepreneur, I look at this issue from the different end of the telescope. Yes, smaller (and therefore more) funds make sense, with smaller funding rounds to help capital discipline. But more patience and nurturing of the venture, especially with respect to business models, is even more critical. So long as the success rates for VC-backed ventures remains so abysmally low, the mentality of venture development will remain too much a Vegas “crap shoot” or rely on false “safe bets” on “proven management.”

Entrepreneurs are well advised to forget the question of initial valuations — which will prove meaningless very quickly — and focus on success rates by the VCs. That is the best indicator that critical expertise and insight will be brought forward — likely with some patience and staying power — in addition to the lubricant of capital.

Posted by AI3's author, Mike Bergman Posted on January 29, 2006 at 3:00 pm in Software and Venture Capital | Comments (0)
The URI link reference to this post is: https://www.mkbergman.com/181/too-big-for-success-the-vc-funding-dilemma/
The URI to trackback this post is: https://www.mkbergman.com/181/too-big-for-success-the-vc-funding-dilemma/trackback/
Posted:January 18, 2006

A relatively new participant in the blogosphere, Scott Maxwell of the Now What? blog, who is a partner at the VC firm of Insight Partners in Boston, has just completed publication of a nine-part Search Tech Opportunities series on innovation in search technology.

This is a very insightful (pun intended) and readable series, not to mention a useful source to advanced or less-known search engines such as  ZoomInfo and A9's OpenSearch. Two of the key themes in this series are the application of the semantic Web and the need and usefulness of open search technology.

The bulk of the series is in eight parts posted closely together:

The series began with Scott’s argument for Opening up the Search Tech Chain, a componentized vision of search combining multiple functions from multiple contributors via open APIs.  (This concept is actually being put in place via a number of federal and enterprise initiatives that are still below the radar.)

Scott, nice addition!  I am pleased to add you as my newest blogroll member.

Posted by AI3's author, Mike Bergman Posted on January 18, 2006 at 2:05 pm in Searching, Semantic Web | Comments (0)
The URI link reference to this post is: https://www.mkbergman.com/179/highly-recommended-search-innovation-series/
The URI to trackback this post is: https://www.mkbergman.com/179/highly-recommended-search-innovation-series/trackback/
Posted:December 14, 2005

You are what you eat … You know what you experience … You know what you know … But you don’t know what you don’t consider ….

I just walked outside my home and spent a glorious 30 min this evening viewing the snow, the sky, the vistas, the lights, all of it.

I’m about ready to head with my family to many days of skiing in Colorado.  We have done so before in many places and many states.  In every instance, I can remember the physical moments and the visual moments.  Some of those visual moments were quite striking:  looking over the back side of Big Mountain into Glacier, overlooking Lake Tahoe, looking north into the broad stretches of Canada.

But what truly blew my mind tonight was that the snowy ground and the vistas from my own backyard were as beautiful as what I have seen elsewhere.  Granted, I’ve got open space from my back porch here in Iowa City, but, face it, most anyone who does not live here would not believe there are "world class" views across these prairies.  My own backyard view combines pastoral scenes with some suburbia and with views no higher than one or two hundred of feet in topographic change.

But it is beautiful … and it is peaceful … and it is striking in its impact.

So, I think the following:  I’m about ready to head to a known wonderful place (in the Rockies) with known vistas and known aesthetics.  In that regard, I am a fortunate person and am willing to spend many dollars to do so.  But, then, I also think:  My own backyard is pretty cool.  Actually, more than cool:  Beautiful.

My family and I will have a great time and we will enjoy the skiing as we always do.  But the magic of our own vistas of snow this night, the lights at night and the dark rolling hills and naked branches are pretty cool here as well.

The short of it is this:  You don’t miss your water ’til your well runs dry, and you sometimes don’t even know what your true source of water is.

For me, tonight, it is my backyard.  I hope, if you care to look around and find the right viewpoint, that maybe it is the same for you ….

Drink deeply this Christmas …. 

Posted by AI3's author, Mike Bergman Posted on December 14, 2005 at 11:59 pm in Site-related | Comments (0)
The URI link reference to this post is: https://www.mkbergman.com/176/a-walk-in-the-snow/
The URI to trackback this post is: https://www.mkbergman.com/176/a-walk-in-the-snow/trackback/

I just finished participating in a discussion that has mirrored many others I have observed in the past:  We have a complicated problem with much data before us, and we don’t know where it may evolve or trend.  Can we architect a single database schema up front that handles all possible options?

Every programmer or database administrator (DBA) will recommend keeping designs to a single database, schema and vendor.  It makes life easier for them.

However, every real world application and community points to the natural outcomes of multiple schemas and databases.  This reality, in fact, has what has led to the whole topic of data federation and the various needs to resolve physical, semantic, syntactic and other schema heterogeneities.

Designers can certainly be clever with respect to anticipating growth, changes as seen in the past and so forth.  Leaving "open slots" or "generic fields" in schemas are often posited and perhaps may allow for a little bit of growth.  Also, perhaps quite a bit of mitigation for schema evolution can be anticipated up front.

But the reality of diversity remains.  The semantic Web and proliferation of user-generated metadata will only exacerbate these challenges.  Simply talk to the biological or physics communities of what they have seen in finding a single "grand schema."  They haven’t been able to, can’t, and it is a chimera.

Thus, smart design does not begin with a naive single database premise.  It recognizes that information exists in many forms in many places and in many transmutations from many viewpoints.  And what is important today will surely change tomorrow.  Explicit recognition of these realities is critical to successful upfront information management design.

Viva la multiple databases!
 

Posted by AI3's author, Mike Bergman Posted on December 14, 2005 at 2:31 pm in Adaptive Information, Semantic Web | Comments (0)
The URI link reference to this post is: https://www.mkbergman.com/174/the-single-database-chimera/
The URI to trackback this post is: https://www.mkbergman.com/174/the-single-database-chimera/trackback/
Posted:December 13, 2005

I just came across an easily readable and accessible short series on the semantic Web by Sunil Goyal of the enventure blog. The four-part series consists of:

  • Part 1 — introduction and overview of various Web services
  • Part 2 — the challenges of data integration
  • Part 3 — RDF and OWL data models and service-oriented middleware, and
  • Part 4 — user applications, enterprise systems, research applications and themes and services.

If you are new to this topic, you may find this series an easy first introduction.

Posted by AI3's author, Mike Bergman Posted on December 13, 2005 at 1:31 pm in Adaptive Information, Semantic Web | Comments (0)
The URI link reference to this post is: https://www.mkbergman.com/173/another-good-semantic-web-series/
The URI to trackback this post is: https://www.mkbergman.com/173/another-good-semantic-web-series/trackback/