The Business of Theater

Earnest Shackleton

I have become quite interested in analyzing theater, in particular, Broadway and Off-Broadway shows for two reasons:

  1. I’m struck by the fact that revenue for the show Hamilton is shaping up like a Unicorn tech company
  2. My son Matthew is producing a show that is now launching at a NYC theater, and as I have been able to closely observe the 10-year process of it getting to New York, I see many attributes that are consistent with a startup in tech.


It is fitting that Matthew’s show, Ernest Shackleton Loves Me, was first incubated at Theatreworks, San Francisco, as it is the primary theater of Silicon Valley. Each year the company hosts a “writer’s retreat” to help incubate new shows. Teams go there for a week to work on the shows, all expenses paid. Theatreworks supplies actors, musicians, and support so the creators can see how songs and scenes seem to work (or not) when performed. Show creators exchange ideas much like what happens at a tech incubator. At the culmination of the week, a part of each show is performed before a live audience to get feedback.

Creation of the Beta Version

After attending the writer’s retreat the creators of Shackleton needed to do two things: find a producer (like a VC, a Producer is a backer of the show that recruits others to help finance the project); and add other key players to the team – a book writer, director, actors, etc. Recruiting strong players for each of these positions doesn’t guarantee success but certainly increases the probability. In the case of Shackleton, Matthew came on as lead producer and he and the team did quite well in getting a Tony winning book writer, an Obie winning director and very successful actors on board. Once this team was together an early (beta version) of the show was created and it was performed to an audience of potential investors (the pitch). Early investors in the show are like angel investors as risk is higher at this point.

Beta Testing

The next step was to run a beta test of the product – called the “out of town tryout”. In general, out of town is anyplace other than New York City. It is used to do continuous improvement of the show much like beta testing is used to iterate a technology product based on user feedback. Theater critics also review shows in each city where they are performed. Ernest Shackleton Loves Me (Shackleton) had three runs outside of NYC: Seattle, New Jersey and Boston. During each, the show was improved based on audience and critic reaction. While it received rave reviews in each location, critics and the live audience can be helpful as they usually still can suggest ways that a show can be improved. Responding to that feedback helps prepare a show for a New York run.

Completing the Funding

Like a tech startup, it becomes easier to raise money in theater once the product is complete. In theater, a great deal of funding is required for the steps mentioned above, but it is difficult to obtain the bulk of funding to bring a show to New York for most shows without having actual performances. An average musical that goes to Off-Broadway will require $1.0 – $2.0 million in capitalization. And an average one that goes to Broadway tends to capitalize between $8 – $17 million. Hamilton cost roughly $12.5 million to produce, while Shackleton will capitalize at the lower end of the Off-Broadway range due to having a small cast and relatively efficient management. For many shows the completion of funding goes through the early days of the NYC run. It is not unusual for a show to announce it will open at a certain theater on a certain date and then be unable to raise the incremental money needed to do so. Like a tech startup, some shows, like Shackleton, may run a crowdfunding campaign to help top off its funding.

You can see what a campaign for a theater production looks like by clicking on this link and perhaps support the arts, or by buying tickets on the website (since the producer is my son, I had to include that small ask)!

The Product Launch

Assuming funding is sufficient and a theater has been secured (there currently is a shortage of Broadway theaters), the New York run then begins.  This is the true “product launch”. Part of a shows capitalization may be needed to fund a shortfall in revenue versus weekly cost during the first few weeks of the show as reviews plus word of mouth are often needed to help drive revenue above weekly break-even. Part of the reason so many Broadway shows employ famous Hollywood stars or are revivals of shows that had prior success and/or are based on a movie, TV show, or other well-known property is to insure substantial initial audiences. Some examples of this currently on Broadway are Hamilton (bestselling book), Aladdin (movie), Beautiful (Carole King story), Chicago (revival of successful show), Groundhog Day (movie), Hello Dolly (revival plus Bette Midler as star) and Sunset Boulevard (revival plus Glenn Close as star).

Crossing Weekly Break Even

Gross weekly burn for shows have a wide range (just like startups), with Broadway musicals having weekly costs from $500,000 to about $800,000 and Off-Broadway musicals in the $50,000 to $200,000 range. In addition, there are royalties of roughly 10% of revenue that go to a variety of players like the composer, book writer, etc. Hamilton has about $650,000 in weekly cost and roughly a $740,000 breakeven level when royalties are factored in.  Shackleton weekly costs are about $53,000, at the low end of the range for an off-Broadway musical, at under 10% of Hamilton’s weekly cost.

Is Hamilton the Facebook of Broadway?

Successful Broadway shows have multiple sources of revenue and can return significant multiples to investors.

Chart 1: A ‘Hits’ Business Example Capital Account

Since Shackleton just had its first performance on April 14, it’s too early to predict what the profit (or loss) picture will be for investors. On the other hand, Hamilton already has a track record that can be analyzed. In its first months on Broadway the show was grossing about $2 million per week which I estimate drove about $ 1 million per week in profits. Financial investors, like preferred shareholders of a startup, are entitled to the equivalent of “liquidation preferences”. This meant that investors recouped their money in a very short period, perhaps as little as 13 weeks. Once they recouped 110%, the producer began splitting profits with financial investors. This reduced the financial investors to roughly 42% of profits. In the early days of the Hamilton run, scalpers were reselling tickets at enormous profits. When my wife and I went to see the show in New York (March 2016) we paid $165 per ticket for great orchestra seats which we could have resold for $2500 per seat! Instead, we went and enjoyed the show. But if a scalper owned those tickets they could have made 15 times their money. Subsequently, the company decided to capture a portion of this revenue by adjusting seat prices for the better seats and as a result the show now grosses nearly $3 million per week. Since fixed weekly costs probably did not change, I estimate weekly profits are now about $1.8 million. At 42% of this, investors would be accruing roughly $750,000 per week. At this run rate, investors would receive over 3X their investment dollars annually from this revenue source alone if prices held up.

Multiple Companies Amplify Revenue and Profits

Currently Hamilton has a second permanent show in Chicago, a national touring company in San Francisco (until August when it’s supposed to move to LA) and has announced a second touring company that will begin the tour in Seattle in early 2018 before moving to Las Vegas and Cleveland and other stops. I believe it will also have a fifth company in London and a sixth in Asia by late 2018 or early 2019. Surprisingly, the touring companies can, in some cities, generate more weekly revenue than the Broadway company due to larger venues. Table 1 shows an estimate of the revenue per performance in the sold out San Francisco venue, the Orpheum Theater which has a capacity 2203 versus the Broadway capacity (Richard Rogers Theater) of 1319.

Table 1: Hamilton San Francisco Revenue Estimates

While one would expect Broadway prices to be higher, this has not been the case. I estimate the average ticket price in San Francisco to be $339 whereas the average on Broadway is now $282. The combination of 67% higher seating capacity and 20% higher average ticket prices means the revenue per week in San Francisco is now close to $6 million. Since it was lower in the first 4 weeks of the 21 plus week run, I estimate the total revenue for the run to be about $120 million. Given the explosive revenue, I wouldn’t be surprised if the run in San Francisco was extended again. While it has not been disclosed what share of this revenue goes to the production company, normally the production company is compensated as a base guarantee level plus a share of the profits (overage) after the venue covers its labor and marketing costs. Given these high weekly grosses, I assume the production company’s share is close to 50% of the grosses given the enormous profits versus an average show at the San Francisco venue (this would include both guarantee and overage). At 50% of revenue, there would still be almost $3 million per week to go towards paying the production company expenses (guarantee) and the local theater’s labor and marketing costs. If I use a lower $2 million of company share per week as profits to the production company that annualizes at over $100 million in additional profits or $42 million more per year for financial investors. The Chicago company is generating lower revenue than in San Francisco as the theater is smaller (1800 seats) and average ticket prices appear to be closer to $200. This would make revenue roughly $2.8 million per week. When the show ramps to 6 companies (I think by early 2019) the show could be generating aggregate revenue of $18-20 million per week or more should demand hold up. So, it would not be surprising if annual ticket revenue exceeded $1 billion per year at that time.

Merchandise adds to the mix

I’m not sure what amount of income each item of merchandise generates to the production company. Items like the cast album and music downloads could generate over $25 million in revenue, but in general only 40% of the net income from this comes to the company. On the other hand, T-shirts ($50 each) and the high-end program ($20 each) have extremely large margin which I think would accrue to the production company. If an average attendee of the show across the 6 (future) or more production companies spent $15 this could mean $1.2 million in merchandise sales per week across the 6 companies or another $60 million per year in revenue. At 60% gross margin this would add another $36 million in profits.

I expect Total Revenue for Hamilton to exceed $10 billion

In addition to the sources of revenue outlined above Hamilton will also have the opportunity for licensing to schools and others to perform the show, a movie, additional touring companies and more.  It seems likely to easily surpass the $6 billion that Lion King and Phantom are reported to have grossed to date, or the $4 billion so far for Wicked. In fact, I believe it eventually will gross over a $10 billion total. How this gets divided between the various players is more difficult to fully access but investors appear likely to receive over 100x their investment, Lin-Manuel Miranda could net as much as $ 1 billion (before taxes) and many other participants should become millionaires.

Surprisingly Hamilton may not generate the Highest Multiple for Theater Investors!

Believe it or not, a very modest musical with 2 actors appears to be the winner as far as return on investment. It is The Fantasticks which because of its low budget and excellent financial performance sustained over decades is now over a 250X return on invested capital. Obviously, my son, an optimistic entrepreneur, hopes his 2 actor musical, Ernest Shackleton Loves Me, will match this record.

Lessons Learned from Anti-Consumer Practices/Technologies in Tech and eCommerce

One example of the anti-consumer practices by airline loyalty programs.

As more and more of our life consists of interacting with technology, it is easier and easier to have our time on an iPhone, computer or game device become all consuming. The good news is that it is so easy for each of us to interact with colleagues, friends and relatives; to shop from anywhere; to access transportation on demand; and to find information on just about anything anytime. The bad news is that anyone can interact with us: marketers can more easily bombard us, scammers can find new and better ways to defraud us, and identity thieves can access our financials and more. When friends email us or post something on Facebook, there is an expectation that we will respond.  This leads to one of the less obvious negatives: marketers and friends may not consider whether what they send is relevant to us and can make us inefficient.

In this post, I want to focus on lessons entrepreneurs can learn from products and technologies that many of us use regularly but that have glaring inefficiencies in their design, or those that employ business practices that are anti-consumer. One of the overriding themes is that companies should try to adjust to each consumer’s preferences rather than force customers to do unwanted things. Some of our examples may sound like minor quibbles but customers have such high expectations that even small offenses can result in lost customers.

Lesson 1: Getting email marketing right

Frequency of email 

The question: “How often should I be emailing existing and prospective customers?” has an easy answer. It is: “As often as they want you to.”  If you email them too frequently the recipients may be turned off. If you send too few, you may be leaving money on the table. Today’s email marketing is still in a rudimentary stage but there are many products that will automatically adjust the frequency of emails based on open rates. Every company should use these. I have several companies that send me too many emails and I have either opted out of receiving them or only open them on rare occasions. In either case the marketer has not optimized their sales opportunity.

Relevance of email

Given the amount of data that companies have on each of us one would think that emails would be highly personalized around a customer’s preferences and product applicability. One thing to realize is that part of product applicability is understanding frequency of purchase of certain products and not sending a marketing email too soon for a product that your customer would be unlikely to be ready to buy. One Azure portfolio company, Filter Easy, offers a service for providing air filters. Filter Easy gives each customer a recommended replacement time from the manufacturer of their air conditioner. They then let the customer decide replacement frequency and the company only attempts to sell units based on this time table. Because of this attention to detail, Filter Easy has one of the lowest customer churn rates of any B to C company. In contrast to this, I receive marketing emails from the company I purchase my running shoes from within a week of buying new ones even though they should know my replacement cycle is about every 6 months unless there is a good sale (where I may buy ahead). I rarely open their emails now, but would open more and be a candidate for other products from them if they sent me fewer emails and thought more about which of their products was most relevant to me given what I buy and my purchase frequency. Even the vaunted Amazon has sent me emails to purchase a new Kindle within a week or so of my buying one, when the replacement cycle of a Kindle is about 3 years.

In an idea world, each customer or potential customer would receive emails uniquely crafted for them. An offer to a customer would be ranked by likely value based on the customer profile and item profile. For example, customers who only buy when items are on sale should be profiled that way and only sent emails when there is a sale. Open Road, another Azure company, has created a daily email of deeply discounted e-books and gets a very high open rate due to the relevance of their emails (but cuts frequency for subscribers whose open rates start declining).

Lesson 2: Learning from Best Practices of Others

I find it surprising when a company launches a new version of a software application without attempting to incorporate best practices of existing products. Remember Lotus 123? They refused to create a Windows version of their spreadsheet for a few years and instead developed one for OS/2 despite seeing Excel’s considerable functionality and ease of use sparking rapid adoption. By the time they created a Windows version, it was too late and they eventually saw their market share erode from a dominant position to a minimal level.  In more modern times, Apple helped Blackberry survive well past it’s expected funeral by failing to incorporate many of Blackberry’s strong email features into the iPhone. Even today, after many updates to mail, Apple still is missing such simple features like being able to hit a “B” to go to the bottom of my email stack on the iPhone. Instead, one needs to scroll down through hundreds of emails to get to the bottom if you want to process older emails first. This wastes lots of time. But Microsoft Outlook in some ways is even worse as it has failed to incorporate lookup technology from Blackberry (and now from Apple) that always allows finding an email address from a person’s name. When one has not received a recent email from a person in your contact list, and the person’s email address is not their name, outlook requires an exact email address. When this happens, I wind up looking it the person’s contact information on my phone!

Best practices extends beyond software products to marketing, packaging, upselling and more. For example, every ecommerce company should study Apple packaging to understand how a best in class branding company packages its products. Companies also have learned that in many cases they need to replicate Amazon by providing free shipping.

Lesson 3: The Customer is Usually Right

Make sure customer loyalty programs are positive for customers but affordable for the company

With few exceptions, companies should adopt a philosophy that is very customer-centric. Failing to do so has negative consequences. For example, the airline industry has moved towards giving customers little consideration and this results in many customers no longer having a preferred airline, instead looking for best price and/or most convenient scheduling. Whereas the mileage programs from airlines were once a very attractive way of retaining customers, the value of miles has eroded to such a degree that travelers have lost much of the benefit. This may have been necessary for the airlines as the liability associated with outstanding points reached billions of dollars. But, in addition, airlines began using points as a profit center by selling miles to credit cards at 1.5 cents per mile. Then, to make this a profitable sale, moved average redemption value to what I estimate to be about 1 cent per point. This leads to a concern of mine for consumers. Airlines are selling points at Kiosks and online for 3 cents per point, in effect charging 3 times their cash redemption value.

The lesson here is that if you decide to initiate a loyalty points program, make sure the benefits to the customer increase retention, driving additional revenue. But also make sure that the cost of the program does not exceed the additional revenue. (This may not have been the case for airlines when their mileage points were worth 3-4 cents per mile).  It is important to recognize the future cost associated with loyalty points at the time they are given out (based on their exchange value) as this lowers the gross margin of the transaction. We know of a company that failed to understand that the value of points awarded for a transaction so severely reduced the associated gross margin that it was nearly impossible for them to be profitable.

Make sure that customer service is very customer centric

During the Thanksgiving weekend I was buying a gift online and found that Best Buy had what I was looking for on sale. I filled out all the information to purchase the item, but when I went to the last step in the process, my order didn’t seem to be confirmed. I repeated the process and again had the same experience. So, I waited a few days to try again, but by then the sale was no longer valid. My assistant engaged in a chat session with their customer service to try to get them to honor the sale price, and this was refused (we think she was dealing with a bot but we’re not positive). After multiple chats, she was told that I could try going to one of their physical stores to see if they had it on sale (extremely unlikely). Instead I went to Amazon and bought a similar product at full price and decided to never buy from Best Buy’s online store again. I know from experience that Amazon would not behave that way and Azure tries to make sure none of our portfolio companies would either. Turning down what would still have been a profitable transaction and in the process losing a customer is not a formula for success! While there may be some lost revenue in satisfying a reasonable customer request the long term consequence of failing to do so usually will far outweigh this cost.



My friend, Adam Lashinsky, from Fortune has just reported that an insurance company is now offering lower rates for drivers of Teslas who deploy Autopilot driver-assistance. Recall that Tesla was one of our stock picks for 2017 and this only reinforces our belief that the stock will continue to outperform.



They got it right: Why Stephen Curry deserves to be a First Team All-Star

Curry vs. Westbrook

Much has been written about the fact that Russell Westbrook was not chosen for the first team on the Western All-Stars. The implication appears to be that he was more deserving than Curry. I believe that Westbrook is one of the greatest athletes to play the game and one of the better players currently in the league. Yet, I also feel strongly that so much weight is being placed on his triple doubles that he is being unfairly anointed as the more deserving player. This post takes a deeper dive into the available data and, I believe, shows that Curry has a greater impact on winning games and is deserving of the first team honor. So, as is my want to analyze everything, I spent some time dissecting the comparison between the two.  It is tricky comparing the greatest shooter to ever play the game to one of the greatest athletes to ever play, but I’ll attempt it, statistic by statistic.



Westbrook is probably the best rebounding guard of all time (with Oscar Robertson and Magic Johnson close behind). This season he is averaging 10.4 rebounds per game while Curry is at 4.3. There is no question that Westbrook wins hands down in this comparison with Curry, who is a reasonably good rebounding point guard.  But on rebounds per 36 minutes played this season, Westbrook’s stats are even better than Oscar’s in his best year. In that year, Robertson averaged 12.5 rebounds playing over 44 minutes a game which equates to 10.2 per 36 minutes vs Westbrook’s 10.8 per 36 minutes (Magic never averaged 10 rebounds per game for a season).



You may be surprised when I say that Curry is a better assist producer than Westbrook this season. How can this be when Westbrook averages 10.3 assists per game and Curry only 6.2?  Since Oklahoma City plays a very different style of offense than the Warriors, Westbrook has the ball in his hands a much larger percentage of the time. They both usually bring the ball up the court but once over half court, the difference is striking. Curry tends to pass it off a high proportion of the time while Westbrook holds onto it far longer. Because of the way Curry plays, he leads the league in secondary assists (passes that set up another player to make an assist) at 2.3 per game while Westbrook is 35th in the league at 1.1 per game. The longer one holds the ball the more likely they will shoot it, commit a turnover or have an assist and the less likely they will get a secondary assist. The reason is that if they keep the ball until the 24 second clock has nearly run out before passing, the person they pass it to needs to shoot (even if the shot is a poor one) rather than try to set up someone else who has an easier shot. For example, if a player always had the ball for the first 20 seconds of the 24 second clock, they would likely have all assists for the team while on the court.

Table 1: Assist Statistic Comparison

Curry vs. Westbrook Assists
* statistics average per game through Feb 1st, 2017

When in the game, Westbrook holds the ball about 50% of the time his team is on offense, he gets a large proportion of the team’s assists. But that style of play also means that the team winds up with fewer assists in total. In fact, while the Warriors rank #1 in assists as a team by a huge margin at 31.1 per game (Houston is second at 25.6), Oklahoma City is 20th in the league at 21.2 per game. If you agree that the opportunity to get an assist increases with the number of minutes the ball is in the player’s possession, then an interesting statistic is the number of assists per minute that a player possesses the ball (see Table 1). If we compare the two players from that perspective, we see that Curry has 1.27 assists per minute and Westbrook 1.17. Curry also has 0.47 secondary assists per minute while Westbrook only 0.13. This brings the total primary and secondary assist comparison to 1.74 per minute of possession for Curry and 1.30 for Westbrook, a fairly substantial difference. It also helps understand why the Warriors average so many more assists per game than Oklahoma City and get many more easy baskets. This leads to them having the highest field goal percentage in the league, 50.1%.



Russell Westbrook leads the league in scoring, yet his scoring is less valuable to his team than Stephen Curry’s is to the Warriors. This sounds counterintuitive but it is related to the shooting efficiency of the player: Curry is extremely efficient and Westbrook is inefficient as a shooter. To help understand the significance of this I’ll use an extreme example. Suppose the worst shooter on a team took every one of a team’s 80 shots in a game and made 30% of them including two 3-point shots. He would score 24 baskets and lead the league in scoring by a mile at over 50 points per game (assuming he also got a few foul shots). However, his team would only average 50 or so points per game and likely would lose every one of them. If, instead, he took 20 of the 80 shots and players who were 50% shooters had the opportunity to take the other 60, the team’s field goals would increase from 24 to 36. Westbrook’s case is not the extreme of our example but none-the-less Westbrook has the lowest efficiency of the 7 people on his team who play the most minutes. So, I believe his team overall would score more points if other players had more shooting opportunities. Let’s look at the numbers.

Table 2: Shot Statistic Comparison

* statistics average per game through Feb 1st, 2017

Westbrook’s shooting percentage of 42.0% is lower than the worst shooting team in the league, Memphis at 43.2%, and, as mentioned is the lowest of the 7 people on his team that play the most minutes. Curry has a 5.5% higher percentage than Westbrook. But the difference in their effectiveness is even greater as Curry makes far more three point shots. Effective shooting percentage adjusts for 3 point shots made by considering them equal to 1½ two point shots. Curry’s effective shooting percentage is 59.1% and Westbrook’s is 46.4%, an extraordinary difference. However, Westbrook gets to the foul line more often and “true shooting percent” takes that into account by assuming about 2.3 foul shots have replaced one field goal attempt (2.3 is used rather than 2.0 to account for 3 point plays and being fouled on a 3-point shot). Using the “true shooting percentage” brings Westbrook’s efficiency slightly closer to Curry’s, but it is still nearly 10% below Curry (see table 2). What this means is very simple – if Curry took as many shots as Westbrook he would score far more. In fact, at his efficiency level he would average 36.1 points per game versus Westbrook’s 30.7. While it is difficult to prove this, I believe if Westbrook reduced his number of shots Oklahoma City would score more points, as other players on his team, with a higher shooting percentage, would have the opportunity to shoot more. And he might be able to boost his efficiency as a shooter by eliminating some ill-advised shots.


Turnovers vs Steals

This comparison determines how many net possessions a player loses for his team by committing more turnovers than he has steals. Stephen Curry averages 2.9 turnovers and 1.7 steals per game, resulting in a net loss of 1.2 possessions per game. Russell Westbrook commits about 5.5 turnovers per game and has an average of 1.6 steals, resulting in a net loss of 3.9 possessions per game, over 3 times the amount for Curry.



In many ways, this statistic is the most important one as it measures how much more a player’s team scores than its opponents when that player is on the floor. However, the number is impacted by who else is on your team so the quality of your teammates clearly will contribute.  Nonetheless, the total impact Curry has on a game through high effective shooting percent and assists/minute with the ball is certainly reflected in the average point differential for his team when he is on the floor. Curry leads the league in plus/minus for the season as his team averages 14.5 more points than its opponents per 36 minutes he plays.  Westbrook’s total for the season is 41st in the league and his team averages +3.4 points per 36 minutes.


Summing Up

While Russell Westbrook is certainly a worthy all-star, I believe that Stephen Curry deserves having been voted a starter (as does James Harden but I don’t think Harden’s selection has been questioned). Westbrook stands out as a great rebounding guard, but other aspects of his amazing triple double run are less remarkable when compared to Curry. Curry is a far more efficient scorer and any impartial analysis shows that he would average more points than Westbrook if he took the same number of shots. At the same time, Curry makes his teammates better by forcing opponents to space the floor, helping create more open shots for Durant, Thompson and others. He deserves some of the credit for Durant becoming a more efficient scorer this year than any time in his career. While Westbrook records a far larger number of assists per game than Curry, Curry is a more effective assist creator for the time he has the ball, helping the Warriors flirt with the 32-year-old record for team assists per game while Oklahoma City ranks 20th of the 30 current NBA teams with 10 less assists per game than the Warriors.

Top 10 Predictions for 2017

Conceptualization of giant robot fight.
Conceptualization of giant robot fight.

When I was on Wall Street I became very boring by having the same three strong buy recommendations for many years until I downgraded Compaq in 1998 (it was about 30X the original price at that point). The other two, Microsoft and Dell, remained strong recommendations until I left in 2000. At the time, they were each well over 100X the price of my original recommendation. I mention this because my favorite stocks for this blog include Facebook and Tesla for the 4th year in a row. They are both over 5X what I paid for them in 2013 (23 and 45, respectively) and I continue to own both. Will they get to 100X or more? This is not likely, as companies like them have had much higher valuations when going public compared with Microsoft or Dell, but I believe they continue to offer strong upside, as explained below.

In each of my stock picks, I’m expecting the stocks to outperform the market. I don’t have a forecast of how the market will perform, so in a steeply declining market, out-performance might occur with the stock itself being down (but less than the market). Given the recent rise in the market subsequent to the election of Donald Trump, on top of several years of a substantial bull market, this risk is real. While I have had solid success at predicting certain individual stocks’ performance, I do not pride myself in being able to predict the market itself. So, consider yourself forewarned regarding potential market volatility.

This top ten is unusual in having three picks that are negative forecasts as last year there were no negatives and in 2015 only one.

We’ll start with the stock picks (with prices of stocks valid as of writing this post, January 10, all higher than the beginning of the year) and then move on to the remainder of my 10 predictions.

  1. Tesla stock appreciation will continue to outpace the market (it is currently at $229/share). Tesla expected to ship 50,000 vehicles in the second half of 2016 and Q3 revenue came in at $2.3 billion. This equates to 100,000 vehicles and a $9.2 billion annualized run rate. The model 3 has over 400,000 units on back order and Tesla is ramping capacity to produce 500,000 vehicles in total in 2018. If the company stays on track, from a production point of view, this amounts to 5X the vehicle unit sales rate and about 3X the revenue run rate. While the model 3 is unlikely to have the same gross margins as the current products, tripling revenue should still lead to substantially more than tripling profits. Tesla remains the clear leader in electric vehicles and fully integrated automated features in an automobile. While others are looking towards 2020/2021 to deliver automated cars, Tesla is already delivering most of the functionality required. Between now and 2020 Tesla is likely to install numerous improvements and should remain the leader. Tesla also continues to have the strongest business model as it sells directly to the consumer, eliminating dealers. I also believe that the Solar City acquisition will prove more favorable than anticipated. Given these factors, I expect Tesla stock to have solid outperformance in 2017. The biggest risk is product delay and/or delivering a faulty product, but competitors are trailing by quite a bit so there is some headroom if this happens.

2. Facebook stock appreciation will continue to outpace the market (it is currently at $123/share). While the core Facebook user base growth has slowed considerably, Facebook has a product portfolio that also includes Instagram, WhatsApp and Oculus. This gives Facebook multiple opportunities for revenue growth: Improve the revenue per DAU (daily active user) on Facebook itself; begin to monetize Instagram and WhatsApp in more meaningful ways; and build the install base of Oculus. We have seen Facebook advertising rates increase steadily as more and more mainstream companies shift budget from traditional advertising to Facebook. This, combined with modest growth in DAUs, should lead to continued strong revenue growth from the Facebook platform itself. The opportunity to increase monetization on its other platforms should become more real during 2017, providing Facebook with additional revenue streams. And while the Oculus did not get out of the gate as fast as expected, it is still viewed as the premier product in VR. We believe the company will need to produce a lower priced version to drive sales into the millions of units annually. The wild card here is the “killer app”; if a product becomes a must have and is only available on the Oculus, sales would jump substantially in a short time.

3. Amazon stock appreciation will outpace the market (it is currently at $795/share). I had Amazon as a recommended stock in 2015 but omitted it in 2016 after the stock appreciated 137% in 2015 while revenue grew less than 20%. That meant my 2015 recommendation worked extremely well. But while I still believed in Amazon fundamentals at the beginning of 2016, I felt the stock might have reached a level that needed to be absorbed for a year or so. In fact, 2016 Amazon fundamentals continued to be quite strong with revenue growth accelerating to 26% (to get to this number, I assumed it would have its usual seasonally strong Q4). At the same time, the stock was only up 10% for the year. While it has already appreciated a bit since year end, it seems to be more fairly valued than a year ago, and I am putting it back on our recommended list as we expect it to continue to gain share in retail, have continued success with its cloud offering (strong growth and increased margin), leverage their best in class AI and voice recognition with Echo (see pick 10), and add more physical outlets that drive increased adoption.

4. Both Online and Offline Retailers will increasingly use an Omnichannel Approach. The line between online and offline retailers will become blurred over the next five years. But despite the continued increase in online’s share of the total, physical stores will be the majority of sales for many years. This means that many online retailers will decide to have some form of physical outlets. The most common will be “guide stores” like those from Warby Parker, Bonobos and Tesla where samples of product are in the store but the order is still placed online for subsequent delivery. We believe Amazon may begin to create several such physical locations over the next year or two. I expect brick and mortar retailers to up their game online as they struggle to maintain share. But currently, they continue to struggle to optimize their online presence, so much so that Walmart paid what I believe to be an extremely overpriced valuation for Jet to access better technology and skills. Others may follow suit. One retailer that appears to have done a reasonable job online is William Sonoma.

5. A giant piloted robot will be demo’d as the next form of Entertainment. Since the company producing it, MegaBots, is an Azure portfolio company, this is one of my easier predictions, assuming good execution. The robot will be 16 feet high, weigh 20,000 pounds and be able to lift a car in one hand (a link to the proto-type was in my last post). It will be able to shoot a paint ball at a speed that pierces armor. If all goes well, we will also be able to experience the first combat between two such robots in 2017. Actual giant robots as a new form of entertainment will emerge as a new category over the next few years.

6. Virtual and Augmented reality products will escalate. If 2016 was the big launch year for VR (with every major platform launching), 2017 will be the year where these platforms are more broadly evaluated by millions of consumers. The race to supplement them with a plethora of software applications, follow on devices, VR enabled laptops and 360 degree cameras will escalate the number of VR enabled products on the market. For every high-tech, expensive VR technology platform release, there will be a handful of apps that will expand VR’s reach outside of gaming (and into viewing homes, room design, travel, education etc.), allowing anyone with simple VR glasses connected to a smartphone to experience VR in a variety of settings.  For AR, we see 2017 as the year where AR applicability to retail, healthcare, agriculture and manufacturing will start to be tested, and initial use cases will emerge.

7. Magic Leap will disappoint in 2017. Magic Leap has been one of the “aha” stories in technology for the past few years as it promised to build its technology into a pair of glasses that will create virtual objects and blend them with the real world. At the Fortune Brainstorm conference in 2016, I heard CEO Rony Abovitz speak about the technology. I was struck by the fact that there was no demo shown despite the fact that the company had raised about $1.4 billion starting in early 2014 (with a last post-money at $4.5 billion). The problem for this company is that while it may have been conceptually ahead in 2014, others, like Microsoft, now appear further along and it remains unclear when Magic Leap will actually deliver a marketable product.

8. Cable companies will see slide in adoption. Despite many thinking to the contrary, the number of US cable subscribers has barely changed over the past two years, going down from 49.9 million in Q2 2014 to 48.9 million in Q2 2016 (a 2% loss). During the same period, Broadband services subscribers (video on demand for Netflix, Hulu and others) increased about 12% to 57.0 million. Given the extremely high price of cable, more people (especially millennials) are shifting to paying for what they want at considerably less cost so that the rate of erosion of the subscriber base should continue and may even accelerate over the next few years. I expect to see further erosion of traditional TV usage as well, despite the fact that overall media usage per day is rising. The reason for lower TV usage is the shift people are making to consuming media on their smart phones. This shift is much broader than millennials as every age group is increasing their media consumption through their phones.

9. Spotify will either postpone its IPO or have a disappointing one. In theory, valuation of a company should be calculated based on future earnings flows. The problem for evaluating companies that are losing money is that we can only use proxies for such flows and often wind up using them to determine a multiple of revenue that appears appropriate. To do this I first consider gross margin, cost of customer acquisition and operating cost to determine a “theoretic potential operating profit percentage” that a company can reach when it matures. I believe the higher this is, the higher the multiple and similarly the higher the revenue growth rate, the higher the multiple. When I look at Spotify numbers for 2015 (2016 financials won’t be released for several months) it strikes me (and many others) that this is a difficult business to make profitable as gross margins were a thin 16% based on hosting and royalty cost. Sales and marketing (both of which are variable costs that ramp with revenue) was an additional 12.6% leaving only 3.4% before G&A and R&D (which in 2015 were over 13% of revenue). This combination has meant that scaling revenue has not improved earnings. In fact, the 80% increase in revenue over the prior year still led to higher dollars in operating loss (about 9.5% of revenue). Unless the record labels agree to lower royalties substantially (which seems unlikely) its appears that even strong growth would not result in positive operating margins. If I give them the benefit of the doubt and assume they somehow get to 2% positive operating margin, the company’s value ($8 billion post) would still be over 175X this percent of 2015 revenue. If Spotify grew another 50% in 2016, the same calculation would bring the multiple of theoretical 2016 operating margin to about 120X. I believe it will be tough for them to get an IPO valuation as high as their last post if they went public in Q2 of this year as has been rumored.

10. Amazon’s Echo will gain considerable traction in 2017. The Echo is Amazon’s voice-enabled device that has built-in artificial intelligence and voice recognition. It has a variety of functions like controlling smart devices, answering questions, telling jokes, playing music through Sonos and other smart devices and more. Essentially an app for it is called a “skill”. There are now over 3,000 of these apps and this is growing at a rapid rate. In the first 12 months of sales, a consulting firm, Activate, estimated that about 4.4 million were sold. If we assume an average price of about $150, this would amount to over $650 million to Amazon. The chart below shows the adoption curve for five popular devices launched in the past. Year 1 unit sales for each is set at 1.0 and subsequent years show the multiple of year 1 volume that occurred in that year. As can be seen from the chart, the second year ranged from 2x to over 8X the first year’s volume and in the third year every one of them was at least 5 times the first year’s volume. Should the Echo continue to ramp in a similar way to these devices, its unit sales could increase by 2-3X in 2017 placing the device sales at $1.5-2.0 billion. But the device itself is only one part of the equation for Amazon as the Echo also facilitates ordering products, and while skills are free today, some future skills could entail payments with Amazon taking a cut.


Re-cap of 2016 Predictions

Samsung FamilyHub Fridge: manage groceries, family scheduling, display photos and play music through a wifi enabled touchscreen

In my post for top 10 predictions for 2016 I noted how lucky I had been for 3 years running as all my picks seemed to work. I pointed out that all winning streaks eventually come to an end. I’m not sure if this constitutes an end to my streak but in my forecasts for 2016 I was wrong with one of the three stock picks (GoPro) and also missed on one of my seven forecasts of industry trends (that the 2016 political spend would reach record levels). My other 2 stock picks and other 6 trend forecasts did prove accurate.

I’ve listed in bold the 2016 stock picks and trend forecasts below and give a personal evaluation of how I fared on each. For context, the S&P was up 7.5% and the Nasdaq 10.0% in 2016.

1. Facebook stock appreciation will continue to outpace the market (it is currently at $97/share). One year later (January 3) Facebook opened at $117.50, a year over year gain of 21.1% from the time of my blog post. While this was short of the 40% gain in 2015, it still easily outpaced the market.

2. Tesla stock appreciation will continue to outpace the market (it is currently at $193/share). One year later, Tesla shares opened at $219.25 (January 3), a 13.5% gain from the time of my blog post. It might have been higher but the acquisition of Solar City created headwinds for the stock as revenue grew well over 100%, gross profit improved and in Q3 (last reported quarter) EBITDA was positive. Still, it outperformed the market.

3. GoPro stock appreciation should outpace the market in 2016 (shares are currently at $10.86). This pick was a clear miss as the stock declined 17.1% from the time of the blog post to January 3. In my defense, I had it partly right as the stock peaked at $17/share at the time of the drone and new camera announcements. In retrospect, given GoPro’s history of poor execution, I would have been smarter to recommend selling at the time these were announced. Instead, I mistakenly viewed execution as pretty easy and failed to suggest this. Since the company, once again, had an execution misstep, I was proven wrong and the stock subsequently declined.

The remaining predictions were about industry trends rather than stocks.

4. UAV/Drones will continue to increase in popularity. Drones continued to increase in popularity at the end of 2015 and into the first half of 2016. According to Market Watch, drone sales were up over 200% in April of 2016 as compared with April of 2015. Starting in December of 2015, the government began requiring drone operators to register on a federal database and by December 2016 had registered over 600,000 drones and users.

5. Political spend will reach record levels in 2016 and have a positive impact on advertising revenue. This forecast proved incorrect. Donald Trump won the presidency despite raising less money than any major party presidential candidate since 2008. Hillary Clinton, raised nearly twice as much as Trump, but still fell short of what President Obama raised in 2012. In the case of President-Elect Trump, more than half of his small raise consisted of $66 million he personally donated to his campaign and $280 million from donors giving $200 or less. Mrs. Clinton, despite depicting Trump as the candidate of the rich, received a substantial portion of her donations from wealthy individuals. The two candidates raising less money meant that the size of the boost in advertising from political ads fell short of my prediction.

6. Virtual/Augmented Reality will have a big year in 2016. As expected, 2016 was the big launch year for VR and AR. Highly anticipated VR product launches (the Facebook Oculus Rift in March, the HTC Vive in April and the PlayStation VR in October) showed strong consumer interest with sales of over 1.5M units. Pokemon Go’s 500M + downloads and the initial release of Microsoft’s Hololense generated intense interest in AR, creating a flurry of application development across a variety of industries including healthcare, agriculture, manufacturing and retail. Unsurprisingly, this excitement is mirrored in VC investment dollars, with a 140% growth in funding over 2015, bringing the total amount invested this past year to $1.8 Bn. This shows a strong trajectory for more development across gaming and commercial applications in AR / VR as we move into 2017.

7. Robotic market will expand to new areas in 2016. From chatbots being introduced by many companies for interacting with customers, to a giant fighting robot (16 foot tall, 20,000 pounds) that can lift and throw a car, to robots for making pizzas, to robots that help educate kids, 2016 was a year of enormous expansion in the robotics market.

8. A new generation of automated functionality will begin to be added to cars. In 2016 autonomous cars moved from concept to closer to reality. To date, the technology leaders appeared to be Tesla and Google, the former building a fully integrated product, the latter a set of components that can be integrated into many different vehicles. Tesla, who appears to be furthest along in putting a fully autonomous car on the road in volume, added more components (software and sensors) to its autonomous technology but suffered a setback when a driver ignored Tesla requirements to “supervise” the autonomous driving and suffered a fatal accident. Autonomous cars took many steps forward in 2016 as additional companies entered the fray. Uber, a company that has much to gain from driverless cars (like eliminating the need for its over 1 million drivers), began an experiment in Pittsburg to offer driverless cars (supervised by an actual person in the driver’s seat) as part of its service. These cars are being manufactured in a partnership with Volvo using technology created by Carnegie Robotics (who’s founder was one of the creators of the Google technology). Uber also acquired Otto, a startup focused on driverless trucks, to gain further technology. In August, Ford announced its intent to bring an autonomous car to market by 2021. Audi just announced a partnership with Nvidia to bring an autonomous car to the road by 2020-21. Toyota, Chrysler and others have also announced intent to create such a vehicle. While I believe that the actual mass usage of driverless cars will be further out then 2021, we seem to be close to a breakout of “supervised automated vehicles”.

9. The Internet of Things will expand further into kitchen appliances and will start being adopted by the average consumer. In the past 12 months Samsung, LG, GE and others have launched numerous smart refrigerators. These can now be thought of as devices that can connect to a smart phone through an app. The user can receive alerts like ‘a water filter needs replacing’ or ‘the door was left open’. Some have digital bulletin boards on the fridges, other features can let you know when various items stored in the fridge are running low, and still more features can be deployed to control functionality (change temperature, etc). The adoption of these devices has reached sufficient levels for them to be carried in mainstream stores like Best Buy.

10. Amazon will move to profitability on their book subscription service and improve cloud capex. Amazon did indeed make three major shifts in its book subscription strategy. First, it significantly reduced payouts to publishers for their books that were downloaded; second, it reduced the proportion of third party published books offered to subscribers to the service and third it reduced the amount it pays their own authors. While Amazon does not report these numbers, I believe this combination has reduced the cost to Amazon by over 50% and has made the service profitable. The gross margin before stock based compensation for Amazon’s cloud service increased year over year in Q3 (last reported quarter) from 27.1% in 2015 to 31.6% in 2016.


While it wasn’t in my Top 10 post for 2016, I did predict that Kevin Durant would sign with the Warriors as he would fit right in and improve his chances of winning championships. He has signed, seems to fit in well, but we’ll have to wait to see if the championships follow.

I’ll be making my 2017 picks within the next week.

Trump’s Carrier deal a positive step for workers

It saves at least 800 jobs at a 14x return to government

Let me start this post by saying I did not vote for Donald Trump and consider myself an independent. But, as my readers know, I can’t help analyzing everything including company business models (both public and private), basketball performance, football, and of course, economics. I have, to date, resisted opining on the election, as it appears to be a polarizing event and therefore a no-win for those who comment. However, I care deeply about the future of our country and the welfare of workers of all levels. Being in Venture Capital allows me to believe (perhaps naively) that I contribute to adding jobs to our country. All this brings me to the recent agreement reached between Trump and Carrier, as it may mark a shift in economic policy.

A key assumption in interpreting the value of the deal is how many jobs were already slated by Carrier to leave the country and which of these were saved. President-Elect Trump has claimed he saved 1,150 jobs. Trump’s opponents say 350 were never slated to leave the country. I’m not going to try to figure out which camp is right. My analysis will only assume 800 manufacturing jobs that were slated to leave the country now will remain in Indiana. This does not seem to be disputed by anyone and was confirmed by a Carrier spokesperson. My observations for this analysis are:

  1. Had those jobs left, 800 fewer people would be employed (which might be different ones than these but less jobs mean less employment).
  2. The average worker at these jobs would make $20 an hour plus overtime (some reports have put this as high as $30 per hour fully loaded cost to Carrier). The average worker at these jobs would make about $45,000 annually, assuming modest overtime.
  3. On average, assuming working spouses in many cases, family income would be an average of $65,000.

Given what we know, here’s why I think Trump’s Carrier deal is a good one for the U.S., and actually results in revenue to the government that far exceeds the tax credits:

Social security taxes are currently 6.2% of each worker’s wages. The employer matches that, resulting in about $5,600 in FICA tax income to the government per worker from social security. Medicare is 1.45% and is also matched, resulting in about $1,300 in Medicare taxes paid to the government.

The federal income tax increment between a $20,000 family income (for spouse) and $65,000 family income is about $4,000 (but depends on a number of factors). Indiana state taxes of 3.3% on adjusted gross income comes out to nearly $1,400.

To make the total relatively conservative, I’ve omitted county taxes, payroll taxes and other payments that various other governmental entities might receive. This should mean the total financial income to various governmental entities from these jobs remaining probably exceeds those calculated in Table 1 below even if some of my rough assumptions are not exact.

Table 1. Governmental Income per Worker


So, the economic question of whether the subsidy Trump agreed to was worth it partly depends on how much additional income was derived by the government versus the tax credits of $700,000 per year granted to Carrier in exchange for keeping the jobs here.

Of course, there is also a multiplier effect of families having higher income available for spending. And if 800 additional people are unemployed, there are numerous costs paid by the government. We’ll leave these out of the analysis, but they are all real benefits to our society of more people being employed. It is important to realize how expensive it is for the government to subsidize unemployed workers as opposed to realizing multiple sources of tax revenues when these workers have good jobs.

If we take the total from Table 1, which we believe underestimates the income to governmental entities, and multiply it by the 800 workers, the annual benefit adds up to about $9.8 million. Since Carrier is getting a $700,000 annual subsidy, the governmental revenue derived is over 14 times the cost. And that is without including a number of other benefits, some of which we mentioned above. As an investor, I’d take a 14 times return every day of the year. Wouldn’t you? Shouldn’t the government?

This is not a sweetheart deal for Carrier

I won’t go into all the math, but it indicates that Carrier will spend tens of millions of dollars more by keeping workers in the U.S. rather than moving them to Mexico. Comments that the $700,000 yearly benefit they have been given is a sweetheart deal does not appear to be the case.

Why the Democrats lost the election

Trump campaigned on the promise that he would create policies and heavily negotiate to increase employment in America. While this is a small victory in the scheme of things and certainly falls short of retaining all the jobs Carrier wanted to move, the analysis demonstrates that spending some money in tax breaks to increase employment has a large payback to government. It also means a lot to 800 people who greatly prefer being paid for working rather than receiving unemployment benefits.

Is this approach scalable?

The other question is whether this is scalable as a way of keeping jobs in America. Clearly Trump would not be able to negotiate individually with every company planning on moving jobs out of the U.S. Some infrastructure would need to be created – the question would be at what cost? If this became policy, would it encourage more companies to consider moving jobs as a way of attracting tax benefits? Any approach would need to prevent that. My guess is that getting a few companies known to be moving jobs to reconsider is only an interim step. If Trump is to fulfill his promise, an ongoing solution will be needed. But it is important to properly evaluate any steps from an impartial financial viewpoint as the United States needs to increase employment.

Employment is the right way of measuring the economy’s health

My post of March 2015 discussed the health of the economy and pointed out that looking at the Unemployment Rate as the key indicator was deceptive as much of the improvement was from people dropping out of the workforce. Instead, I advocated using the “Employment Rate” (the percent of the eligible population employed) as a better indicator. I noted that in 2007, pre-downturn, 63.0% of the population had a job. By 2010 this had declined to 58.5%, a 450 basis point drop due to the recession. Four years later the “Recovery” drove that number up to 59.0% which meant only 1/9 of the drop in those working returned to the workforce. Since then the workforce has recovered further but still stands at 325 basis points below the pre-recession level. That is why the rust belt switched from voting Democrat to President-Elect Trump.

The real culprit is loss of better quality job opportunities

In an article in the New York Times on December 7, “stagnant wages” since 1980 were blamed for lack of income growth experienced by the lower half on the economic scale. I believe that the real culprit is loss of better quality job opportunities. Since 1980 production and non-supervisory hourly wages have increased 214% but at the same time manufacturing workers as a percent of the workforce has shrunk from 18.9% to 8.1% and there has been no recovery of these jobs subsequent to the 2007-2010 recession. Many of these displaced workers have been forced to take lower paying jobs in the leisure, health care or other sectors, part-time jobs or dropped out of the workforce entirely (triggering substantial government spending to help them). This loss of available work in manufacturing is staggering and presents a challenge to our society. It also is the button Donald Trump pushed to get elected. I am hoping he can change the trend but it is a difficult task for anyone, Republican or Democrat.

A condensed version of of this post is featured on 

The Importance of Lifelong Relationships

At my son’s convocation at Wharton, the incoming MBA class was asked to write the names of their five best friends on the left side of a page and then the five people with whom they would most want to start a business on the right side of a page. The lesson was that the key to success in business was to develop relationships so that the future version of that piece of paper would have as many overlapping names as possible on both sides of the page.

Earlier this summer, I was invited to speak to Brooklyn College’s 2016 graduating class. I wanted to emphasize the importance of lifelong relationships for personal and business success. For me, Brooklyn College was foundational to so many of my most important relationships. It is where I met my beautiful, brilliant wife Michelle as well as eight couples who all attended my son’s wedding late last year. As we wrapped up our 10th Annual Azure CEO Summit, I was humbled to see so many familiar faces that may have started as business acquaintances but have now become close friends. As I reflect on the importance of these lifelong relationships, I wanted to share my speech to the Brooklyn College’s Class of 2016.

Good Morning, President Gould, distinguished faculty, parents, and especially – the fabulous graduating class of 2016! It’s a great pleasure to be back in Brooklyn to greet you all today, as I now live in what’s known as Silicon Valley, California.

I want to focus on three things:

  1. Make sure your friends from Brooklyn College become friends for life.
  2. College is only the beginning of your education, post-college you must continue to learn or you will be left behind.
  3. Never forget that Brooklyn College helps people move up in society.

My beautiful, brilliant wife, who I met at Brooklyn College, is also here today. We recently celebrated our son’s wedding. One of the highlights was there were 8 couples attending where the origin of the relationship stemmed from our school days. And make no mistake about it; there is a difference in the depth of the relationship when you know someone from that early in life. So my first advice is: “Make sure you stay in touch with those you really care about from college”

Brooklyn College is for people who work hard, are smart and typically couldn’t have afforded to go to college were CUNY not available

It helps people move up in society

The close friends I met here all had parents with modest incomes. Yet, we are all very successful financially –but more importantly –in life.

In my case, my father was an immigrant who came through Ellis Island. He had to go to work and couldn’t even attend high school. My mother, the daughter of an immigrant, did have the opportunity to finish high school.

Brooklyn College allowed me to be part of the first generation from my family that could afford college. And it provided as good an education as any school in the country!

I became the CEO of a successful startup and then went to Wall Street where I became the Number 1 Analyst following the PC space, and after 10 years left Wall Street to co-found a Venture Capital firm. 

The trick for you to replicate what my friends from College and I have achieved is to leverage this great education and your superior intelligence beyond college. Senator Schumer mentioned the advantage you have because you know today’s technology. This advantage is ephemeral. Whether you’re going to grad school or straight to a job my second bit of advice is:

Never take anything for granted, the world is changing at an increasingly rapid pace. Within 5 years all that you know regarding technology will likely be obsolete. To keep up you must always continue to learn. That coupled with working hard is the way you will succeed beyond college.

Many of you may have noticed that governmental support for CUNY is diminishing and could impact the school. “So, once you do succeed, as I know you will, remember to give back to Brooklyn College so the next generation that wants to move up in society has the same opportunity as you

Thank you and congratulations.


  • Speaking of long term relationships, I am both happy and sad to note that Dan Park, my editor and collaborator for SoundBytes is leaving his full-time position at Azure to take a senior operating role at Uber Canada. I’m happy for him but sad not to have him continue full-time at Azure. Fortunately, he has agreed to remain as an Azure Venture partner and to continue to work with me on this blog.