Hiking Holt’s Ledge

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Hiking Holt’s Ledge, a set on Flickr.

Hiking with friends on one of the first nice spring days

2008 Travels

Not a lot of time on the road this year, but I finally visited my family in Ann Arbor.

In order of appearance:

  • Grand Rapids, MI *
  • Ann Arbor, MI *
  • Charleston, SC
  • New York, NY
  • Martha’s Vineyard

September Hikes

Newfound LakeNorth View from CardiganDSCN1407DSCN1408Tuckies on CardiganTop of Mt. Cardigan
DSCN1412DSCN1413DSCN1414DSCN1416DSCN1417Lonesome Lake
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September Hikes, a set on Flickr.

Mt. Cardigan and Cannon Mountain, from the first few weeks of school

Lonesome Lake

The first few weeks of school have been incredibly busy, but we managed to get away for some hiking in Franconia notch last weekend. Here’s the view from the dock at Lonesome Lake, in the late morning as the clouds were burning off.

We’re Being Watched

Over the past couple years, I have heard a lot about behavioral targeting. I finally saw it in action this morning.

While browsing boston.com, an ad caught my eye – one that just happened to feature the type of running shoe that I was shopping for online last night:

Behavioral Targeting Ad

Coincidence? No…cutting-edge advertising technology. Boston.com’s ad server recognized me, knew that I was interested in the shoes, and customized the creative of the ad, all in real time.

So how does it work? Here’s my understanding of what happened:

Last night I did a Google search for the “Brooks Radius 7,” and then visited zappos.com and shoebuy.com to do some comparison shopping. When I visited shoebuy.com, their advertising provider, dotomi, set a cookie in my browser indicating that I had visited the site and recorded the search query that sent me there.

When I visited boston.com, it’s ad serving software (24/7 Real Media’s Open AdStream) identified me using the cookie on my laptop and sent the information to dotomi, which generated the customized ad. (I’m not whether the inventory was allocated in advance to dotomi, or if the ad server decided to serve me a dotomi ad once it identified me.)

Seeing this makes me wonder where else I’m being targeted. For some more in-depth explanations check Mike on Ads’s explanation of how BT works and Andrew Chen’s presentation on Ad Targeting.

Daylife Powering White Label News Sites

One of the trends we discussed at Marketspace is that now “Every Company is a Media Company”.

(The underlying premise — best described in Jeffrey Rayport’s book Best Face Forward — is that more and more, companies are competing on how they go to market, rather than what they sell. This raises the importance of forging and sustaining relationships directly with consumers, particularly through new digital channels.  To give a couple examples, this describes why Nike is shifting its marketing budget from TV to online services, and why Dove is blurring the line between content and advertising.)

Upendra Shardanand provides another example of this trend: Purina and Kellogg’s are using Daylife to create their own customized news properties. Purina’s “Pet Charts” is a social news site for pet lovers and the Team Kellogg’s site aggregates news and photos on ten members of the British Swimming team. Neither site has a strong community element: Team Kellogg’s does not appear to take submissions, and on Pet Charts users can vote on, but not submit articles.

It will be interesting to see what reaction these types of sites will receive.

I would expect it to get a great response from marketers, since Daylife’s capabilities will allow them to create full-featured sites on limited budgets.

For consumers, I’m not so sure: they should be able to attract an audience, but I suspect that they will have a hard time driving repeat usage (at least in their current form), unless they add additional features to make the sites more interactive.

DEN Boston Entrepreneurs Showcase Recap

Last night I attended DEN Boston‘s first entrepreneur showcase at the Charles hotel. The event featured presentations from the founders of four emerging companies, all with intriguing business concepts and growing momentum. Here are my notes:

First up was Open Vote, presented by co-founder and recent Tuck graduate Jason Freedman. Open Vote runs a Facebook application that allows people to create and share polls with their community. They have launched in beta at three college campuses where the application reaches about 20% of the student population. The company’s business model has multiple potential revenue streams, including providing qualified leads to Internet survey companies, running customized polls for clients, and selling data to brands. The lead generation business is up and running (he mentioned that online survey companies are very eager to find qualified people for their panels, paying $2-4 per lead), and the other two streams will be developed as the service’s audience expands. Jason’s presentation generated a lot of good questions and interest from the audience on how they might expand the service to reach different types of communities beyond college campuses.

The second presentation was TSI, a biotech startup founded by Alexis Wallace. TSI is developing a biologic drug to dissolve plaque in the critical hours right after a heart attack. They have re-engineered a former Phase III drug candidate to make it safer to use than existing treatments, particularly in combination with a catheter, once the patient is stabilized.

Next up was YouCastr, presented by co-founder and CEO Ariel Diaz. YouCastr is developing technology to enable broadcasting of “long tail” sports events, like college and high school teams. It allows people to broadcast audio of sports events, and chat, rate and comment on the live audio broadcasts. Ariel told a cool story of how the parents of the Alabama Softball team used the site to keep up with the team’s progress in the NCAA tournament. Since starting last summer, YouCastr has built the site, raised a seed round of funding, entered partnerships with the Connecticut School of Broadcasting and ESPN Boston radio, and secured its first premium customers. A highlight of the Q&A session was the discussion of how YouCastr’s strategy has evolved. Initially, the site was aimed to allow sports fans to provide their own running commentary on games — like Mystery Science Theater 3000 for the NFL. As they have developed the concept over the past year, they have shifted their focus to pursue the unmet need in “long tail” sports broadcasting and avoid the legal gray areas associated with professional sports broadcasts.

The last company to present was Zeer, presented by President and co-founder Michael Putnam. I would describe Zeer as “Yelp for the Grocery Store” — it is building a social review site around food products. The company has compiled a comprehensive database of product descriptions, ingredients, and nutritional information for over one hundred thousand foods, and then added social features like comments, reviews, ratings, and shopping lists. Since launching the public beta in June, Zeer has been on quite a roll: they have been named as a top 50 website by Time magazine, been profiled in the Globe, and won the audience choice award at WebInno 18. Currently, Zeer’s business model is based on advertising (AdSense to start) and providing data on and/or access to the users to CPG firms. One question I have is whether food manufacturers could issue coupons to targeted users via Zeer.

TimesPeople Adds Recommendations to NYT Site

Whenever I visit the Globe, The Times, or the WSJ’s site, I usually turn to the the “most e-mailed” feature first. It rarely contains the top stories, but it almost always points me to something something “interesting“. While startups like digg and reddit have attracted most of the hype surrounding social media, I actually think the greatest impact of social news could be redefining how we experience traditional media.

In late June, the NYT pushed this concept forward with the launch of their new TimesPeople feature (PaidContent review), which allows you to recommend articles to a set of your friends. The beta version is currently available as a Firefox plug-in, and the final release is slated to be incorporated into the site later this year.

I have been playing with TimesPeople for the past week or so, and while I’m excited about the concept, I find the current beta version lacking. Two complaints:

First, it actually took a while how to figure out how to recommend articles. The plug-in adds a “Recommend” at the top of the article tools box. This approach is too subtle: since it blends in so well with the existing site, I didn’t recognize that it was connected to TimesPeople. I would add a big “recommend” button to the TimesPeople toolbar to make that association clear — the model would be like the “tag” icon that the delicous plug-in adds.

Second, as you can see from the top right, I don’t have anyone to share articles with. Currently, there is very limited support for building your network: you can search TimesPeople users and scan your Gmail contacts to see if they are TimesPeople users, but you can’t invite anyone else to join. I suspect this is by design (in order to limit usage during the beta) but the effect cripples the service.

Building a social site is like throwing a party: it takes a certain critical mass to get it off the ground. In an old interview, Caterina Fake talks about how the flickr team personally greeted each new user to help get them started with the site. Six months after flip.com shut down, it remains to be seen whether the NYT, and other big media companies, can embrace the type of scrappy tactics that have made the upstart social sites a success.

Google Finance Launches Stock Screener

This morning I came across the new Stock Screener functionality in Google Finance. Like a lot of Google projects, it improves on the current state of the art with a speedy ajax interface and a minimalist layout.

The coolest feature is the use of sparklines to help you create your screen. This displays small graphs showing the distribution of each metric included your screen. I think this provides a really interesting way to analyze the market.

Here are three improvements I’d like to see in this product:

  • Ability to filter companies by industry: currently, filters are set up by by sector (e.g., Energy, Healthcare) so you can’t pull up a view of Retailers, or Pharmaceutical companies
  • Add more fundamental data, like revenues, or cash flow
  • Exporting the results of your screen to Excel or Google Spreadsheets

Thoughts on Firefox as a Platform

Fred Wilson asks an interesting question: it is possible to build a business around browser extensions? He thinks the answer is largely no, since the audience is too skewed towards early adopters.

My take is that browser extensions will have their greatest impact as catalysts for related web businesses.

The most obvious application is to use a browser extension to drive traffic to your site. The portals realized the value of this early, particularly for search queries, and have aggressively pursued revenue-sharing partnerships to secure distribution for their toolbars.

But browser extensions can do more than just drive traffic to a site: they can also make it more valuable. Broadly speaking, “Web 2.0″ sites all generate value the same way: by aggregating a particular type of information and allowing it to be searched and shared – think photos on flickr, restaraunt reviews on yelp, playlists on Last.fm. (As Tim O’Reilly says, “Data is the Next Intel Inside.”) These types of sites all face a similar critical challenge: generating enough content so that the site becomes useful. This makes data entry a potential “killer app” for browser extensions. By lowering the interaction costs associated with entering data into a site, browser extensions can jumpstart the value of a service.

Delicious is a classic example. Its Firefox extension seamlessly integrates the browser’s bookmarking functionality with the delicious service; it just takes two clicks to tag a site. Today, the browser extension is driving Delicious’s growth.

Wesabe, a web-based personal finance site is a newer example. Wesabe adds tagging to Quicken-like personal finance functionality. This lets you categorize and analyze your own expenses, and also provides a means to generate tips on saving money (by anonymously aggregating data across users). The major hurdle to using the site is importing your data. Wesabe has created automated connections to most major financial institutions, like ING and CitiBank, but if you bank at a smaller institution, you need to manually download your data and then re-upload it to Wesabe.

To alleviate this problem, Wesabe created a Firefox extension that allows you to automate the upload process. After installing the extension, you log into your bank and download your data, while the Wesabe Extension records your actions. Once created, the upload process becomes a one-click activity. The experience is very similar to recording an Excel macro.