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Apple, Cisco, and Dow 15000

I was driving home on Sunday, listening to the radio, and it occurred to me how different the financial news would be if Apple ($AAPL) was in the Dow Jones Industrial Average (^DJI).

Of course, being who I am, I went home and built a spreadsheet to recalculate what would have happened if Dow Jones had decided to add Apple to the index instead of Cisco back in 2009.  Imagine my surprise to see that the Dow be over 2000 points higher.

In real life, the Dow closed at 12,874.04 on Feb 13, 2012.  However, if they had added Apple instead of Cisco, the Dow Jones would be at 14,926.95.  That’s over 800 points higher than the all-time high of 14,164 previously set on 4/7/2008.

Can you imagine what the daily financial news of this country would be if every day the Dow Jones was hitting an all-time high?  How would it change the tone of our politics? Would we all be counting the moments to Dow 15,000?

Why Cisco vs. Apple?

This isn’t a foolhardy exercise.  The Dow Jones Industrial Average is changed very rarely, in order to promote stability and comparability in the index.  However, on June 8, 2009, they made two changes to the index:

  • They replaced Citigroup with Travelers
  • They replaced General Motors with Cisco

The question I explored was simple – what would have happened if they had replaced General Motors with Apple on June 8, 2009.  After all, Apple was up over 80% off its lows post-crash.  The company had a large, but not overwhelming market capitalization.  The index is already filled with “big iron” tech stocks, like Intel, HP & IBM.  Why add Cisco?  Why not add a consumer tech name instead?

In fact, there is no readily obvious justification for adding Cisco to the index in 2009 instead of Apple.

The Basics of the Dow Jones Industrial Average

Look, I’m just going to say it. The Dow Jones Industrial Average is ridiculous.

You may not realize this, but the Dow Jones Industrial Average, the “Dow” that everyone quotes as representative of the US stock market, and sometimes even a barometer of the US economy, is a mathematical farce.

Just thirty stocks, hand picked by committee by Dow Jones, with no rigorous requirements.  Worse, it’s a “price-weighted” index, which is mathematically nonsensical.  When calculating the Dow Jones Industrial Average, they take the actual stock prices of each stock, add them together, and divide them by a “Dow Divisor“.  They don’t take into account how many shares outstanding; they don’t assess the market capitalization of each company.  When a stock splits, they actually change the divisor for the whole index.  It’s completely unclear what this index is designed to measure, other than financial illiteracy.

In fact, there is only one justification for the Dow Jones Industrial Average being calculated this way.  Dow Jones explains it in this post on why Apple & Google are not included in the index.  To save you some time, I’ll summarize: they have always done it this way, and if they change it, then they won’t be able to compare today’s nonsensical index to the nonsensical index from the last 100+ years.

So what? Does it really matter?

It’s a fair critique.  Look, with 20/20 hindsight, there are limitless number of changes we could make to the index to change its value.  Imagine adding Microsoft and Intel to the index in 1991 instead of 1999?

I don’t think this exercise is that trivial in this case.  The Dow already decided to make a change in 2009.  They decided to replace a manufacturing company (GM) with a large hardware technology company (CSCO).  They could have easily picked Apple instead.

The end result?  People talk about the stock market still being “significantly off its highs” of 2008.  In truth, no one should be reporting the value of the Dow Jones Industrial Average.  But they do, and therefore it matters.  As a result, the choices of the Dow Jones committee matter, and unfortunately, there seems to be no accountability for those choices.

Appendix: The Numbers

I’ve provided below the actual tables used for my calculations.  Please note that all security prices are calculated as of market close on Monday, Feb 13, 2012.  The new Dow Divisor for the alternate reality with AAPL in the index was calculated by recalculating the appropriate Dow Divisor for the 6/8/2009 switch of AAPL for CSCO, and a recalculated adjustment for the VZ spinoff on 7/2/2010.

Real DJIA DJIA w/ AAPL on 6/8/09
Company 2/13/2012 Company 2/13/2012
MMM 88.03 MMM 88.03
AA 10.33 AA 10.33
AXP 52.07 AXP 52.07
T 30.04 T 30.04
BAC 8.25 BAC 8.25
BA 74.85 BA 74.85
CAT 113.70 CAT 113.70
CVX 106.38 CVX 106.38
CSCO 20.03 AAPL 502.60
KO 68.44 KO 68.44
DD 50.60 DD 50.60
XOM 84.42 XOM 84.42
GE 19.07 GE 19.07
HPQ 28.75 HPQ 28.75
HD 45.93 HD 45.93
INTC 26.70 INTC 26.70
IBM 192.62 IBM 192.62
JNJ 64.68 JNJ 64.68
JPM 38.30 JPM 38.30
KFT 38.40 KFT 38.40
MCD 99.65 MCD 99.65
MRK 38.11 MRK 38.11
MSFT 30.58 MSFT 30.58
PFE 21.30 PFE 21.30
PG 64.23 PG 64.23
TRV 58.99 TRV 58.99
UTX 84.88 UTX 84.88
VZ 38.13 VZ 38.13
WMT 61.79 WMT 61.79
DIS 41.79 DIS 41.79
Total 1701.04 Total 2183.61
Divisor 0.13212949 Divisor 0.146286415
Index 12874.04 Index 14926.95

Calculating the “alternate divisor” requires getting the daily stock quotes for the days where the index changed, and recalculating to make sure that the new divisor with the new stocks gives the same price for the day. It’s a bit messy, and depends on public quote data, so please feel free to check my math if I made a mistake.

Pinterest & LinkedIn: Identity of Taste vs. Expertise

It’s hard to go three feet in Silicon Valley these days without someone commenting on the phenomenal engagement and growth being seen from Pinterest and other curation-based social platforms.  What’s a bit surprising to me, however, is how many people refer to this demand as a growing interest and search for “expertise”.

As I have a passion for finding a more human understanding for what drives engagement in real life and then mapping it to online behavior, I think the use of the term “expertise” here is misleading.  Instead, I believe what we are seeing is an explosion of activity around an incredibly powerful form of identity and reputation: the identity of taste.

Expertise is Empirical

If you go to LinkedIn, you see a site that is rich with the identity of expertise.  LinkedIn has rich structured data around sources of expertise: degrees, schools, companies, titles, patents, published content, skills.  They also have rich sources of unstructured content about job responsibilities, specialties, questions & answers, group participation, status updates and comments.  There are even implicit indications of expertise related to other online identities (like Twitter) and relationships to other people with expertise (connections).

This expertise can be tapped by using LinkedIn’s incredibly powerful search engine, either on site or via API, or by browsing the talent graph displayed in catalog form on LinkedIn Skills.  Github has created a powerful identity for developers based on their actual interests and contributions in code.  Blogs, Tumblr, Quora and Twitter have helped people create identities based on the content they create and share.

The power of identity based on expertise is that it is concretely demonstrated.  Education, experience, content and relationships are all very structured and concrete methods for measuring and assessing expertise.  However, in some ways, expertise is limited by it’s literal nature.  Factual. Demonstrable. Empirical.

Taste is Inspiring

Pinterest, however, has unlocked an incredibly powerful form of reputation and identity that exists in the offline world – an identity of taste.  People don’t care about the expertise of people who are assembling pinboards.  They care about how those combinations make them feel – the concept, the aggregation, the flow of additions.  The Pinboard graph begins for most people with their friends, but people quickly learn to hop based on sources to people they don’t know, finding beautiful, interesting, intriguing or inspiring collections of images.

This isn’t an identity based on expertise, really.  It’s not even clear how closely related it is to a graph of interests. Curation-based social platforms evoke a different phenomenon, and with it, some very powerful emotions and social behaviors.

Taste is different than expertise.  Taste does not imply that you are a good person or a deep well of expertise on the domain.  Taste is not universal, although there are certainly those with a predilection for influencing and/or predicting the changes in taste for many.  But when we as human beings find people whose taste inspires us, it’s a powerful relationship.  We map positive attributes to them, ranging from kindness to intelligence to even authority.  Fame & taste are often intertwined.

You Are What You Curate

Curation-based social platforms are based on the interaction of three key factors:

  1. A rich, visual identity and reputation based on curated content
  2. An asymmetric graph based on not only following people, but specific feeds of curated content
  3. A rich, visual activity stream of curation activity

It’s the first item that I seem to see most under-appreciated.  Vanity, as one of the most common deadly sins in social software, drives an incredible amount of engagement and activity.  As people are inspired by those who create beautiful identities of curated content, they also become keenly aware of how their curated identity looks.  When people signal an appreciation for their taste, it triggers power social impulses, likely built up at an early age.

This, more than anything else, reflects the major step function in engagement of this generation of curation over previous attempts (anyone remember Amazon Lists?)

How Does Taste Factor into Your Experience?

I always like to translate these insights into actionable questions for product designers.  In this case, these are some good starting points:

  • How does taste factor into your experience?
  • Is the identity in your product better served by reputation based on taste or expertise?
  • Are the relationships in your product between users based on taste or expertise?
  • Are you creating an identity visually and emotionally powerful enough to trigger curation activity?
  • Are you flowing curation activity through your experience in a way that stimulates discovery and the creation of an identity of taste?

Don’t underestimate the power of good taste.

Psychohistory: 2011 in Review

The WordPress.com stats helper monkeys prepared a 2011 annual report for this blog.

Here’s an excerpt:

London Olympic Stadium holds 80,000 people. This blog was viewed about 460,000 times in 2011. If it were competing at London Olympic Stadium, it would take about 6 sold-out events for that many people to see it.

Click here to see the complete report.

Be a Great Product Leader

People who know me professionally know that I’m passionate about Product Management.  I truly believe that, done properly, a strong product leader acts as a force multiplier that can help a cross-functional team of great technologies and designers do their best work.

Unfortunately, the job description of a product manager tends to either be overly vague (you are responsible for the product) or overly specific (you write product specifications).  Neither, as it turns out, is it effective in helping people become great product managers.

I’ve spent a lot of time trying to figure out a way to communicate the value of a product manager in a way that both transparently tells cross-functional partners what they should expect (or demand) from their product leaders, and also communicates to new product managers what the actual expectations of their job are.  Over the years, I reduced that communication to just three sets of responsibilities: Strategy, Prioritization & Execution.

Responsibility #1: Product Strategy

They teach entire courses on strategy at top tier business schools.  I doubt, however, that you’ll hear Product Strategy discussed in this way in any of them.

Quite simply, it’s the product manager’s job to articulate two simple things:

  • What game are we playing?
  • How do we keep score?

Do these two things right, and all of a sudden a collection of brilliant individual contributors with talents in engineering, operations, quality, design and marketing will start running in the same direction.  Without it, no amount of prioritization or execution management will save you.  Building great software requires a variety of talents, and key innovative ideas can come from anywhere.  Clearly describing the game your playing and the metrics you use to judge success allows the team, independent of the product manager, to sort through different ideas and decide which ones are worth acting on.

Clearly defining what game you are playing includes your vision for the product, the value you provide your customer, and your differentiated advantage over competitors.  More importantly, however, is that it clearly articulates the way that your team is going to win in the market.  Assuming you pick your metrics appropriately, everyone on the team should have a clear idea of what winning means.

You should be able to ask any product manager who has been on the job for two weeks these questions, and get not just a crisp, but a compelling answer to these two questions.

The result: aligned effort, better motivation, innovative ideas, and products that move the needle.

Responsibility #2: Prioritization

Once the team knows what game they are playing and how to keep score, it tends to make prioritization much easier.  This is the second set of responsibilities for a product manager – ensuring that their initial work on their strategy and metrics is carried through to the phasing of projects / features to work on.

At any company with great talent, there will be a surplus of good ideas.  This actually doesn’t get better with scale, because as you add more people to a company they tend to bring even more ideas about what is and isn’t possible.  As a result, brutal prioritization is a fact of life.

The question isn’t what is the best list of ideas you can come up with for the business – the question is what are the next three things the team is going to execute on and nail.

Phasing is a crucial part of any entrepreneurial endeavor – most products and companies fail not for lack of great ideas, but based on mistaking which ones are critical to execute on first, and which can wait until later.

Personally, I don’t believe linear prioritization is effective in the long term.  I’ve written a separate post on product prioritization called The Three Buckets that explains the process that I advocate.

You should be able to ask any product manager who has been on the job for two weeks for a prioritized list of the projects their team is working on, with a clear rationale for prioritization that the entire team understands and supports.

Responsibility #3: Execution

Product managers, in practice, actually do hundreds of different things.

In the end, product managers ship, and that means that product managers cover whatever gaps in the process that need to be covered.  Sometimes they author content.  Sometimes they cover holes in design.  Sometimes they are QA.  Sometimes they do PR.  Anything that needs to be done to make the product successful they do, within the limits of human capability.

However, there are parts of execution that are massively important to the team, and without them, execution becomes extremely inefficient:

  • Product specification – the necessary level of detail to ensure clarity about what the team is building.
  • Edge case decisions – very often, unexpected and complicated edge cases come up.  Typically, the product manager is on the line to quickly triage those decisions for potentially ramifications to other parts of the product.
  • Project management – there are always expectations for time / benefit trade-offs with any feature.  A lot of these calls end up being forced during a production cycle, and the product manager has to be a couple steps ahead of potential issues to ensure that the final product strikes the right balance of time to market and success in the market.
  • Analytics – in the end, the team largely depends on the product manager to have run the numbers, and have the detail on what pieces of the feature are critical to hitting the goals for the feature.  They also expect the product manager to have a deep understanding of the performance of existing features (and competitor features), if any.

Make Things Happen

In the end, great product managers make things happen.  Reliably, and without fail, you can always tell when you’ve added a great product manager to a team versus a mediocre one, because very quickly things start happening.  Bug fixes and feature fixes start shipping.  Crisp analysis of the data appears.  Projects are re-prioritized.  And within short order, the key numbers start moving up and to the right.

Be a great product leader.

This work is licensed under a Creative Commons Attribution 3.0 Unported License.

Zynga, Equity & Tough Decisions

A couple of days ago, a story broke in the Wall Street Journal about Zynga “leaning” on some early employees to surrender portions of their equity.  Not surprisingly, this blew up a bit in the press, leading to a wide number of articles talking about the potential threats to the Silicon Valley equity culture, employment litigation, and a number of fairly serious issues.

As Zynga has indicated that their IPO is imminent, no doubt a lot of this is fueled by the fact that Zynga is a hot company right now.  But some of the issues raised are very real, and I thought it might be interesting to lend a different perspective to the story as a opportunity to think more deeply about the challenges leaders face in hyper growth companies, even ones as successful as Zynga.

Executives are expensive

Marc Andreesen wrote a great blog post on some of the very real issues around hiring, managing and firing executives in hypergrowth technology start-ups.  It’s too long to capture everything here, but I do recommend reading it. Marc calls it the “executive firing paradox”:

It takes time to gather data to evaluate an executive’s performance. You can’t evaluate an executive based on her own output, like a normal employee — you have to evaluate her based on the output of her organization. It takes time for her to build and manage her organization to generate output. Therefore, it takes longer to evaluate the performance of an executive than a normal employee.

But, an executive can cause far more damage than a normal employee. A normal employee doesn’t work out, fine, replace him. An executive doesn’t work out, it can — worst case — permanently cripple her function and sometimes the entire company.Therefore, it is far more important to fire a bad executive as fast as possible, versus a normal employee.

Now, the facts of the Zynga story are a bit blurry in the press, but for the purposes of this blog post, I’m assuming the following:

  • This issue affected a relatively small number of people at Zynga, specifically executive-level hires
  • These people were identified, over time, as underperformers at the original role they filled
  • These people still had not vested their equity

Obviously, the above distinctions above matter greatly in terms of the tricky balance of issues around making a decision like this.

It’s worth noting, however, that executives are expensive hires.  If an executive is vesting 250K shares per year, and hiring a new engineer or designer costs 10K shares per year, then that person really has to deliver an incredible amount of value to justify their compensation.  After all, you could use the money to hire 25 additional engineers.  A great leader can easily justify that value (and more) in terms of their power to create long term value for the company, but it’s definitely a high bar to clear.

The Reason for Vesting

Not to be pedantic, but there is a very good reason why employees at tech companies are given equity.  Fundamentally, the best corporate cultures in Silicon Valley are based on people working together not to just build technology or products, but actively working to build a great company.  Stock ownership is an important part of that culture – when people have meaningful equity in a company, it cements the idea that everyone is a part-owner of the business.

Four years may not seem like a long time, but in truth, hypergrowth tech companies grow and change at rates that seem theoretically impossible.  Zynga had 150 employees in 2008.  LinkedIn had fewer than 400.  As a result, the responsibilities and requirements of almost any position at the company radically change in a year, let alone four years.  This is one of the great opportunities that high tech companies afford employees who take advantage of growth to stretch and grow quickly into new responsibilities and experiences.  But it’s extremely challenging, and fairly unforgiving as hypergrowth means that every person’s efforts potentially impact dozens of employees going forward and millions of users.

Vesting exists as an important reminder, however, that your share of the company is earned over time, not at signing.  You earn your share of the company – every day, every month, every year.  For most people, this isn’t an issue, because it is amazing how dedicated people are in Silicon Valley.  People are passionate about what they do and the teams they work with, and that passion translates into world-class dedication and effort.

Real Equity, Real Money, Really Tough Decisions

Back to Zynga.  Let’s assume, for a second, that you have the situation described in the Wall Street Journal.  You’ve identified a small number of relatively high level employees who, for whatever reason, you decide are underperforming their original roles.  Normally, there are a couple of options:

  1. Tolerate the under-performance, or compensate for it with additional hires, but let them “vest out” their stock grants despite the fact that they aren’t filling the role that the equity was predicated on.
  2. Fire them.

As per Marc Andreesen’s post, option (1) is toxic.  The equity, while material, isn’t the dominant issue.  The impact to the company culture can be devastating, and if a repeated pattern, permanently damaging to the ability of the company to attract and retain the best talent and have them do their best work.

Let’s not forget also that we ask our company leaders to be thoughtful of their responsibilities to shareholders as well, particularly in public companies.  Executives are expensive hires, and equity allocated to them could always be allocated to hiring other great people.  Human beings tend to suffer from “sunk cost fallacy”, and they hate to admit mistakes and take on difficult confrontation.  Option (1) swims in all of those issues.

But option (2) doesn’t always feel right in a hyper-growth company either.  What if the employee has a number of positive attributes and skills?  What if you would gladly hire them today, just in a different role?

From the press, it looks like Zynga tried to find a third way.  Rather than fire the employee, offer them the ability to stay at the company in a role that better suits their performance, with compensation to match.

You may not agree with that approach, and I think Semil Shah does a good job in TechCrunch talking about the cultural issues that this type of approach can cause.  But it would be foolish not to see that this is really a tough decision, and shouldn’t be trivialized or sensationalized.

Talking vs. Doing

There has never been a shortage of armchair quarterbacks and theorists debating the merits and demerits of different leadership actions and company cultures.  It’s part of an ecosystem that rewards thinking and learning.

It’s relatively simple to have a knee-jerk, emotional reaction to a piece like the one in the Wall Street Journal.  Let’s face it, that’s part of the reason they published it.  Companies like Zynga are amazing, and more importantly, they matter.  How they grow, navigate, succeed and fail is part of how we all learn to build better high tech companies.

It’s fairly easy, in fact, to demonize actions that you don’t agree with.  However, it’s often a much more productive intellectual path to ask yourself, “Why would good, smart, ethical people do this?”  Whether you agree or disagree with the actions taken by Zynga here, these are very hard decisions, and there is a lot for aspiring technology leaders to think about and learn from.

As Tom Hanks said in “A League of Their Own”:

If it wasn’t hard everyone would do it. The hard is what makes it great.

The Synology DS1511+ RAID NAS & Time Machine on Mac OS X Lion

I recently suffered one of those storage network failures that you have nightmares about.  After spending more than $1000 on a NetGear ReadyNAS NV+, I had a catastrophic failure that cost me all of the data on the system.  Believe it or not, it was a single drive failure – exactly the type of problem you spend money on a RAID system to survive.  Unfortunately, in my case, it didn’t.

On the bright side, I had the opportunity to rethink and rebuilt my storage and backup solutions from scratch.  In a recent blog post, I described my new network and storage topology.

Synology DS1511+ to the Rescue

The Synology DS1511+ is a great device.  It sits on your Gigabit network, handles up to five SATA hard drives, and can act as a wide variety of servers for your network.  I configured my with five 3TB Western Digital Caviar Green drives, for 15TB of notional storage, 8.3TB of usable storage.

The Synology supports “dual drive redundancy”, so for the price of 2 drives worth of storage, you end up with protection for your data even if two drives fail simultaneously.  Needless to say, I went for that option.

The industrial design of the box is well done.  You do have to break out the screwdriver to install the drives into trays (not quite as nice as the Drobo FS plug-and-play SATA drives), but the case itself is small, quiet and black.  It also has nice locks on each drive bay, which has made it “child proof” for my 2 year old who is unfortunately fascinated with the blinking lights.

The Synology box is incredibly fast.  First, it supports two Gigabit Ethernet ports, to establish connections from multiple clients independently.  But even from one machine, it’s wicked fast.  Simple Finder copy of a 500MB file to the drive takes under 6 seconds.  I was able to back up 2.7M files totally 4.05TB in size using Time Machine (usually dog slow) in about 26 hours.

The Synology management software is Windows 2000 like in terms of its user interface and incredible breadth of options.  Needless to say, I only use about 1% of them.  I did run into one issue, and hence the title of this blog post.  Configuring the box for Time Machine on Mac OS X 10.7 Lion was non-trivial.

Time Machine on Mac OS X 10.7 Lion & Synology DSM 3.2

Time Machine, unfortunately, is the most consumer friendly solution for incremental backup on the Mac.  Unfortunately, if you have multiple machines, you run into a small issue: Apple designed the software as if it “owns” the entire drive you point it at.  As a result, you can’t just point all your machines at a single network drive without a number of bad things happening.

Instead, you have to somehow convince Time Machine to only use part of the drive.  This turned out to be quite an issue for me, since I wanted to be able to backup my machine (~4TB) as well as my wife’s MacBook Pro (~500GB).

Synology has published documents on how to configure the box for Time Machine, and has designed it’s software around a very clever option.  The basic idea is that you create a different “user” for each machine you want to back up with Time Machine.  For each user, you assign a limited quota, and then you tell Time Machine to use that user for the Synology volume.  It actually works quite well, although it feels a little strange to create separate user accounts for each machine, on top of accounts for each user.

The Undocumented 4TB Limit

Unfortunately, I ran into an undocumented issue.  When I tried to set the quota for my machine to 6000 GB (in general, you want to give 50% extra room for incremental changes / backups), Time Machine would only see about 1.8 TB.  When I checked the DSM 3.2 interface, I found indeed that it had reset 6000 GB to 1804 GB.  After trying to set it several times with the same issue, I deduced that the maximum limit was 4096 GB, and that it was “wrapping” around that number.  Sure enough, entering 4100 -> 4, and entering 4096 actually turned to 0, shutting off the quota entirely!

After some back and forth with Synology customer service, they finally admitted this was true.  (The first two times, they claimed that the issue was with Mac OS X 10.7 Time Machine not respecting quotas.)  I hope they fix the software to at least tell the user when they type a number over 4095 that they’ve exceeded the limit.

The Solution: Disk Groups, Volumes & Shares

To solve the problem, I reverted to a more old-fashioned solution: partitions.  Of course, with a sophisticated, modern RAID box, this was a bit more complex.  The Synology DSM 3.2 software supports three relevant concepts:

  • Disk Groups:  You can take any number of the drives and “bind” them together as a disk group.
  • Volumes:  You can allocate an independent “volume” of any size over a disk group.
  • Shares:  You can specify a share on a given volume which is available to only certain users.

The key here is that normally you use quotas to limit storage on shares for specific users.  But since I was looking for a “6 TB” share, there was no way to do this.  By default, shares get access to the entire volume they are on, so the key was to repartition the box into separate volumes.

As a result, I configured my box as follows:

  • One disk group across all 5 disks, configured for dual drive redundancy using Synology Hybrid Raid (SHR)
  • Three volumes: one for my iMac’s time machine (6000 GB), one for my wife’s Macbook Pro (1000 GB), and one remainder for network storage (1.3 TB)
  • For each volume, I configured a single share, without quota limits.  I gave my account access to my backup share, my wife her backup share, and gave everyone access to the general media share

Works like a charm.  My iMac sees the 6TB volume for Time Machine, mounts it as needed, and backs up every hour.  Thanks to the incredible Synology speed, most incremental backups happen in the background in seconds without any noticeable performance lag.  In fact, the original backup of 4.05TB with Time Machine took about 26 hours.  On my NetGear ReadyNAS NV+, that same initial backup took almost a week.

Recommendation: Synology DS1511+

I have to just say that, despite some back and forth over the Time Machine issue, the Synology website, wiki and documentation are all well done.  They are clearly responsive, even responding to my issues over Twitter.  Given the industrial design, features, and performance of the box, I have no trouble recommending the DS1511+ to anyone who’s looking for a large (10TB+) network attached storage solution for backup of a mixed network.

Disclosure: Synology was kind enough to provide me the DS1511+ free of charge given my difficult situation.

How to Extract Short Films from iTunes Extras

This is a quick tip, but somewhat delightful, so I’m sharing it here on this blog.  Credit to DJ Patil for goading me to write this up.

iTunes Extras

Recently, Apple debuted a new feature at the iTunes Store.  When you buy certain movies, typically the more expensive HD versions, you also get the “iTunes Extras”.  The iTunes Extras are basically “everything else” that comes packaged on Blu-Ray and DVD discs: deleted scenes, trailers, exposés on the making of the film, and for certain films (like Pixar movies), short films.

Free the Short Films!

There is a small problem with this system, however.  When you sync your iPod, iPhone or iPad with the library, you don’t get the iTunes Extras.  When you connect with the AppleTV, you don’t see the iTunes Extras.

More importantly, you don’t really want to carry around gigabytes of the extras.  I just don’t need to see “Making Of” clips that often.

Fortunately, it turns out to be an easy problem to solve.

Open the Package

Cracking open the iTunes Extras turns out to be trivial.  In fact, it’s not even cracking – it’s like finding the little red string on a wheel of cheese that makes it trivial to remove the wax covering.  Here are the steps:

  1. Go to the iTunes Extras file in iTunes, and “right click” or “control-click” the file.
  2. Select “Show in Finder” from the menu
  3. You will now see the folder for the movie in your iTunes Library.  There will be a file selected with an “ITE” extension.
  4. “Right click” or “control click” the file.
  5. Select “Show Package Contents” from the menu
  6. You will see a folder inside called “videos”.  In that folder, you will see all the “M4V” files that are the video extras, including the short films
  7. Just copy these files to your desktop.  I use the “Option Drag”, where I hold the option key down, and drag the file to my desktop.  This makes a copy of it on the desktop.
  8. Add the movie to your iTunes, just like any other video.  You’ll have to add the artwork and fix the title, but then you have your short film, separate and synchable, just like any other movie.

You see, the Mac OS Finder has a trick that it inherited from NeXTStep: you can take any folder, mark it a “package”, and the Finder displays it as if it were a single file.  In fact, all the applications on the Mac are delivered this way.  *.app files are really packages (directories) of content, wrapped so that you can click on them as if they are a single file.

The iTunes Extra file is a just a package, and the video files are inside.  More importantly, they are all just “M4V” files, which are MPEG 4 video files that are copy protected with the iTunes DRM.  So they largely work like the main video that you bought off iTunes.

It’s a little extra work to get the correct title, year and cover art on the file, but a quick cut & paste from Google can solve that.

Hope this delights at least one other person out there.  It certainly delighted me this weekend as I was able to free the “Toy Story: Hawaiian Vacation” short film from the new distribution of Cars 2 in HD on iTunes.

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