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May 2023 - Constellation Software Letters by Mark Leonard

We cover Canada’s biggest and quietest software company and their brilliant leader Mark Leonard.

Tech Themes

  1. Critics and Critiques. For a long time, Constellation heard the same critiques: Roll-ups never work, the businesses you are buying are old, the markets you are buying in are small, the delivery method of license/maintenance is phasing out. All of these are valid concerns. Constellation is a roll-up of many software businesses. Roll-ups, aka acquiring several businesses as the primary method of growth, do have tendency to blow up. The most frequent version for a blowup is leverage. Companies finance acquisitions with debt and eventually they make a couple of poor acquisition decisions and the debt load is too big, and they go bankrupt. A recent example of this is Thrashio, an Amazon third party sellers roll-up. RetailTouchPoints lays out the simple strategy: “Back in 2021, firms like Thrasio were able to buy these Amazon-based businesses for around 4X to 6X EBITDA and then turn that into a 15X to 25X valuation on the combined business.” However, demand for many of these products waned in the post-pandemic era, and Thrasio had too much debt to handle with the lower amount of sales. Bankruptcy isn’t all bad - several companies have emerged from bankruptcy with restructured debt, in a better position than before. To avoid the issue of leverage, Constellation has never taken on meaningful (> 1-2x EBITDA) leverage. This may change in the coming years, but for now it remains accurate. Concerns around market size and delivery method (SaaS vs. License/Maintenance) are also valid. Constellation has software businesses in very niche markets, like boating maintenance software that are inherently limited in size. They will never have a $1B revenue boat maintenance software business, the market just isn’t that big. However, the lack of enthusiasm over a small niche market tends to offer better business characteristics - fewer competitors, more likely adoption of de-facto technology, highly specialized software that is core to a business. Constellation’s insight to combine thousands of these niche markets was brilliant. Lastly, delivery methods have changed. Most customers now prefer to buy cloud software, where they can access technology through a browser on any device and benefit from continuous upgrades. Furthermore, SaaS businesses are subscriptions compared to license maintenance businesses where you pay a signficant sum for the license up-front and then a correspondingly smaller sum for maintenance. SaaS subscriptions tend to cost more over the long-term and have less volatile revenue spikes, but can be less profitable because of the need to continuously improve products and provide the service 24/7. Interestingly, Constellation continued to avoid SaaS even after it was the dominant method of buying software. From the 2014 letter: “The SaaS’y businesses also have higher organic growth rates in recurring revenues than do our traditional businesses. Unfortunately, our SaaS’y businesses have higher average attrition, lower profitability and require a far higher percentage of new name client acquisition per annum to maintain their revenues. We continue to buy and invest in SaaS businesses and products. We'll either learn to run them better, or they will prove to be less financially attractive than our traditional businesses - I expect the former, but suspect that the latter will also prove to be true.” While 2014 was certainly earlier in the cloud transformation, its not surprising that an organization built around the financial characteristics of license maintenance software struggled to make this transition. They are finally embarking on this journey, led their by their customers, and its causing license revenue to decline. License revenue has declined each of the last six quarters. The critiques are valid but Constellations assiduousness allowed them to side-step and even benefit from these critics as they scaled.

  2. Initiatives, Investing for Organic Growth, and Measurement. Although Leonard believes that organic growth is an important measure of success of a software company, he lays out in the Q1’07 letter the challenges of Constellation’s internal organic growth projects, dubbed Initiatives. “In 2003, we instituted a program to forecast and track many of the larger Initiatives that were embedded in our Core businesses (we define Initiatives as significant Research & Development and Sales and Marketing projects). Our Operating Groups responded by increasing the amount of investment that they categorized as Initiatives (e.g. a 3 fold increase in 2005, and almost another 50% increase during 2006). Initially, the associated Organic Revenue growth was strong. Several of the Initiatives became very successful. Others languished, and many of the worst Initiatives were terminated before they consumed significant amounts of capital.” The last sentence is the hardest one to stomach. Terminating initiatives before they had consumed lots of capital, is the smart thing to do. It is the rational thing to do. However, I believe this is at the heart of why Constellation has struggled with organic growth over time. Now I’ll be the first to admit that Constellation’s strategy has been incredible, and my criticism is in no way taking that away from them. Frankly, they won’t care what I say. But, as a very astute colleague pointed out to me, this position of measuring all internal R&D and S&M initiatives, is almost self-fulfilling. At the time Leonard wasn’t concerned with the potential for lack of internal investment and organic growth. He even remarked as so: “I’m not yet worried about our declining investment in Initiatives because I believe that it will be self-correcting. As we make fewer investments in new Initiatives, I’m confident that our remaining Initiatives will be the pick of the litter, and that they are likely to generate better returns. That will, in turn, encourage the Operating Groups to increase their investment in Initiatives. This cycle will take a while to play out, so I do not expect to see increased new Initiative investment for several quarters or even years.” By 2013, he had changed his tune: “Organic growth is, to my mind, the toughest management challenge in a software company, but potentially the most rewarding. The feedback cycle is very long, so experience and wisdom accrete at painfully slow rates. We tracked their progress every quarter, and pretty much every quarter the forecast IRR's eroded. Even the best Initiatives took more time and more investment than anticipated. As the data came in, two things happened at the business unit level: we started doing a better job of managing Initiatives, and our RDSM spending decreased. Some of the adaptations made were obvious: we worked hard to keep the early burn-rate of Initiatives down until we had a proof of concept and market acceptance, sometimes even getting clients to pay for the early development; we triaged Initiatives earlier if our key assumptions proved wrong; and we created dedicated Initiative Champion positions so an Initiative was less likely to drag on with a low but perpetual burn rate under a part-time leader who didn’t feel ultimately responsible. But the most surprising adaptation, was that the number of new Initiatives plummeted. By the time we stopped centrally collecting Initiative IRR data in Q4 2010, our RDSM spending as a percent of Net Revenue had hit an all-time low.” So how could the most calculating, strategic software company of maybe all time struggle to produce attractive organic growth prospects? I’d argue two things - 1) Incentives and 2) Rationality. First, on incentives, the Operating Group managers are compensated on ROIC and net revenue growth. If you are a BU manager and could invest in your business vs. buy another company that has declining organic growth but is priced appropriately (i.e. cheaply) requiring minimal capital outlay, you achieve both objectives by buying lower organic growers or even decliners. It is almost similar to buying ads to fill a hole in churned revenue. As long as you keep pressing the advertising button, you will keep gathering customers. But when you stop, it will be painful and growth will stall out. If I’m a BU manager buying meh software companies that achieve good ROIC and I’m growing revenues because of my acquisitions, it just means I need to keep finding more acquisitions to achieve my growth hurdles. Over time this is a challenge, but it may be multiple years before I have a bad acquisition growth year. Clearly, the incentives are not aligned for organic growth. Connected to the first point, the “buy growth for low cash outlays” strategy is perfectly rational based on the incentives. The key to its rationality is the known vs. the unknown. In buying a small, niche VMS business - way more is known about the range of outcomes. If you compare this to an organic growth initiative, it is clear why again, you choose the acquisition path. Organic growth investments are like venture capital. If sizeable, they can have an outsized impact on business potential. However, the returns are unknown. Simple probability illustrates that a 90% chance of a 20% ROIC and a 10% chance of a 10% ROIC, yields a 19% ROIC. I’d argue however, that with organic initiatives, particularly large, complex organic initiatives, there is an almost un-estimable return. If we use Amazon Web Services as perhaps the greatest organic growth initiative ever produced we can see why. Here is a reasonably capital-intensive business outside the core of Amazon’s online retailing applications. Sure, you can claim that they were already using AWS internally to run their operations, so the lift was not as strong. But it is still far afield from bookselling. AWS as an investment could never happen inside of Constellation (besides it being horizontal software). What manager is going to tank their ROIC via a capital-intensive initiative for several years to realize an astronomical gain down the line? What manager is going to send back to Constellation HQ, that they found a business that has the potential for $85B in revenue and $20B in operating profit 15 years out? You may say, “Vertical markets are small, they can’t produce large outcomes.” Constellation started after Veeva, a $30B public company, and Appfolio, a $7.5B company. The crux of the problem is that it is impossible to measure via a spreadsheet, the unknown and unknowable expected returns of the best organic growth initiatives. As Zeckhauser has discussed, the probabilities and associated gains/losses tend to be severely mispriced in these unknown and unknowable situations. Clayton Christensen identified this exact problem through his work on disruptive innovation. He urged companies to focus on ideas, failure, and learning, noting that strategic and financial planning must be discovery-based rather than execution based. Maybe there were great initiatives within Constellation that never got launched because incentives and rationality stopped them in their tracks. It’s not that you should burn the boats and put all your money into the hot new thing, it’s that product creation and organic growth are inherently risky ventures, and a certain amount of expected loss can be necessary to find the real money-makers.

  3. Larger deals. Leonard stopped writing annual letters, but broke the streak in 2021, when he penned a short note, outlining that the company would be pursuing more larger deals at lower IRRs and looking to develop a new circle of competence outside of VMS. I believe his words were chosen carefully to reflect Warren Buffett’s discussion of Circle of Competence and Thomas Watson Sr.’s (founder of IBM) quote: “I’m no genius. I’m smart in spots - but I stay around those spots.” While I appreciate the idea behind it, I’m less inclined to stay within my circle of competence. I’m young, curious, and foolish, and I think it would be a waste to pigeon-hole myself so early. After all, Warren had to learn about insurance, banking, beverages, etc and he didn’t let his not-knowing preclude him from studying. In justifying larger deals, Leonard cited Constellation’s scale and ability to invest more effectively than current shareholders. He also laid out the company’s edge: “Most of our competitors maximise financial leverage and flip their acquisitions within 3-7 years. CSI appreciates the nuances of the VMS sector. We allow tremendous autonomy to our business unit managers. We are permanent and supportive stakeholders in the businesses that we control, even if their ultimate objective is to eventually be a publicly listed company. CSI’s unique philosophy will not appeal to all sellers and management teams, but we hope it will resonate with some.” Since then Constellation has acquired Allscript’s hospital unit business in March 2022 for $700m in cash, completed a spin-merger of Lumine Group into larger company, WideOrbit, to create a publicly traded telecom advertising software provider, and is rumored to be looking at purchasing a subsidiary of Black Knight, which may have to be divested for its own transaction with ICE. These larger deals no doubt come with more complexity, but one large benefit is they sit within larger operating groups, and are shielded during what may be difficult transition periods for the businesses. It allows the businesses to operate more long-term and focus on providing value to end customers. As for deals outside of VMS, Mark Leonard commented on it during the 2022 earnings call: “I took a hard look at a thermal oil situation. I was looking at close to $1B investment, and it was tax advantaged. So it was a clever structure. It was a time when the sector could not get financing. And unfortunately, the oil prices ran away on me. So I was trying to be opportunistic in a sector that was incredibly beat up. So that is an example….So what are the characteristics there? Complexity. Where its a troubled situation with — circumstances and there’s a lot of complexity. I think we can compete better than the average investor, particularly when people are willing to take capital forever.” The remark on complexity reminded me of Baupost, the firm founded by legendary investor Seth Klarman, who famously bought claims on Lehman Brothers Europe following the 2008 bankruptcy. When you have hyper rational individuals, complexity is their friend.

Business Themes

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  1. Decentralized Operating Groups. Its safe to say that Mark Leonard is a BIG believer in decentralized operating groups. Constellation believes in pushing as much decision making authority as possible to the leaders of the various business units. The company operates six operating groups: Volaris, Harris, Topicus (now public), Jonas, Perseus, and Vela. Leonard mentioned the organizational structure in the context of organic growth: “When most of our current Operating Group Managers ran single BU’s, they had strong organic growth businesses. As those managers gave up their original BU management position to oversee a larger Group of BU’s (i.e. became Portfolio Managers), the organic growth of their original BU’s decreased and the profitability of those BU’s increased.” As an example of this dynamic, we can look at Vencora, a Fintech subsidiary of Volaris. Vencora is managed by a portfolio manager, itself a collection of Business Units (BUs) with their own leadership. The Operating Group leaders and Portfolio Managers are incentivized based on growth and ROIC. Furthermore, Constellation mandates that at least 25% (for some executives its 75%) of incentive compensation must be used to purchase shares in the company, on the open market. These shares cannot be sold for three years. This incentive system accomplishes three goals: It keeps broad alignment toward the success of Constellation as a whole, it avoids stock dilution, and it creates a system where employees continuously own more and more of the business. Acquisitions above $20M in revenue must be approved by the head office, who is constantly receiving cash from different subsidiaries and allocating to the highest value opportunities. At varying times, the company has instituted “Keep your capital” initiatives, particularly for the Volaris and Vela operating groups. As Leonard points out in the 2015 letter: “One of the nice side effects of the “keep your capital” restriction, is that while it usually drives down ROIC, it generates higher growth, which is the other factor in the bonus formula. Acquisitions also tend to create an attractive increase in base salaries as the team ends up managing more people, capital, BUs, etc. Currently, a couple of our Operating Groups are generating very high returns without deploying much capital and we are getting to the point that we’ll ask them to keep their capital if they don’t close acceptable acquisitions or pursue acceptable Initiatives shortly.” Because bonuses are paid on ROIC, if an operating group manager sends back a ton of cash to corporate and doesn’t do a lot of new acquisitions, then its ROIC is very high and bonuses will be high. However, because Volaris and Vela are so large, it does not benefit the Head Office to continuously receive these large dividend payments and then pay high bonuses. Head Office will have a mountain of cash with out a lot of easy opportunities to deploy it. Thus the Keep your Capital initiative tamps down bonuses (by tamping down ROIC) and forces the leaders of these businesses to search out productive ways to deploy capital. As a result, more internal growth initiatives are likely to be funded, when acquisitions remain scarce, thereby increasing organic growth. It also pushes BUs and Portfolio Managers to seek out acquisitions to use up some of the capital. Overall, the organizational structure gives extreme authority to individuals and operates with large and strong incentives toward M&A and ROIC.

  2. Selling Constellation. We all know about the epic “what would have happened” deals. A few that come to mind, Oracle buying TikTok US, Microsoft buying Yahoo for $55B, Yahoo acquiring Facebook, Facebook acquiring Snapchat, AT&T acquiring T-Mobile for $39B, JetBlue/Spirt, Ryanair/Aer Lingus. There are tons. Would you believe that Constellation was up for sale at one point? On April 4th 2011, the Constellation board announced that it was considering alternatives for the company. The company was $630m of revenue and $116m of Adj. EBITDA, growing revenue 44% year over year. Today, Constellation is $8.4B of revenue, with $1.16B of FCFA2S, growing revenue at 27% year over year. At the time, Leonard lamented: “I’m proud of the company that our employees and shareholders have built, and will be more than a little sad if it is sold.” To me, this is a critically important non-event to investigate. It goes to show that any company can prematurely cap its compounding. Today, Constellation is perhaps the most revered software company with the most beloved, mysterious genius leader. Imagine if Constellation had been bought by Oracle or another large software company? Where would Mark Leonard be today? Would we have the behemoth that exists today? After the process was concluded with no sale, Leonard discussed the importance of managing one’s own stock price. “I used to maintain that if we concentrated on fundamentals, then our stock price would take care of itself. The events of the last year have forced me to re-think that contention. I'm coming around to the belief that if our stock price strays too far (either high or low) from intrinsic value, then the business may suffer: Too low, and we may end up with the barbarians at the gate; too high, and we may lose previously loyal shareholders and shareholder-employees to more attractive opportunities.” Many technology CEOs could learn from Leonard, preserving an optimistic tone when the company is struggling or the market is punishing the company, and a pessimistic tone when the company is massively over-achieving, like COVID.

  3. Metrics. Leonard loves thinking about and building custom metrics. As he stated in the Q4’2007 letter, “Our favorite single metric for measuring our corporate performance is the sum of ROIC and Organic Net Revenue Growth (“ROIC+OGr”).” However, he is constantly tinkering and thinking about the best and most interesting measures. He generally focuses on three types of metrics: growth, profitability, and returns. For growth, his preferred measure is organic growth. He also believes net maintenance growth is correlated with the value of the business. “We believe that Net Maintenance Revenue is one of the best indicators of the intrinsic value of a software company and that the operating profitability of a low growth software business should correlate tightly to Net Maintenance Revenues.” I believe this correlation is driven by maintenance revenue’s high profitability and association with high EBITA levels (Operating income + amortization from intangibles). For profitability metrics, Leonard for a long time preferred Adj. Net Income (ANI) or EBITA. “ One of the areas where generally accepted accounting principles (“GAAP”) do a poor job of reflecting economic reality, is with goodwill and intangibles accounting. As managers we are at least partly to blame in that we tend to ignore these “expenses”, focusing on EBITA or EBITDA or “Adjusted” Net Income (which excludes Amortisation). The implicit assumption when you ignore Amortisation, is that the economic life of the asset is perpetual. In many instances (for our business) that assumption is correct.” He floated the idea of using free cash flow per share, but it suffers from volatility depending on working capital payments and doesn’t adjust for minority interest payments. Adj. Net Income does both of these things but doesn’t capture the actual cash into the business. In Q3’2019, Leonard adopted a new metric called Free Cash Flow Available to Shareholders (FCFA2S): “We calculate FCFA2S by taking net cash flow from operating activities per IFRS, subtracting the amounts that we spend on fixed assets and on servicing the capital we have sourced from other stakeholders (e.g. debt providers, lease providers, minority shareholders), and then adding interest and dividends earned on investments. The remaining FCFA2S is the uncommitted cashflow available to CSI's shareholders if we made no further acquisitions, nor repaid our other capital-providing stakeholders.” FCFA2S achieves a few happy mediums: 1) Similar to ANI, it is net of the cost of servicing capital (interest, dividends, lease payments) 2) It captures changes in working capital, while ANI does not 3) It reflects cash taxes as opposed to current taxes deducted from pre-tax income (this gets at a much more confusing discussion on deferred tax assets and the difference between book taxes and cash taxes) 4) When comparing FCFA2S to CFO, it tends to be closer than comparing ANI to reported net income. For return metrics, Leonard prefers ROIC (ANI/Average Invested Capital). In the 2015 letter, he laid out the challenge of this metric. First, ROIC can be infinity if a company grows large while reducing its working capital (common in software), effectively lowering the purchase price to zero. Infinity ROIC is a problem because bonuses are paid on ROIC. He contrasts ROIC with IRR but notes its drawbacks, that IRR does not indicate the hold period nor size of the investments. As is said at investing firms, “You can’t eat IRR.” In the 2017 letter, he discussed Incremental return on incremental invested capital ((ANI1 - ANI0)/(IC1-ICo)), but noted its volatility and challenge with handling share issuances / repurchases. Share issuances would increase IC, without an increase in ANI. When discussing high performance conglomerates (HPCs), he discusses EBITA Return (EBITA/Average Total Capital). He notes that: “ROIC is the return on the shareholders’ investment and EBITA Return is the return on all capital. In the former, financial leverage plays a role. In the latter only the operating efficiency with which all net assets are used is reflected, irrespective of whether those assets are financed with debt or shareholders’ investment.” This is similar to P/E vs. EV/EBITDA multiples, where P/E multiples should be used to value market capitalization (i.e. Price) while EV/EBITDA should be used to value the entirety of the business as it relates to debt and equityholders. Mark Leonard is a man of metrics, we will keep watching to see what he comes up with next! In this spirit, I will try to offer a metric for fast-growing software companies, where ROIC is effectively meaningless because negative working capital dynamics in software produce negative invested capital. Furthermore, faster growing companies generally spend ahead of growth and lose money so ANI, FCF, EBITA are all lower than they should be. If you believe the value of these businesses is closely related to revenue, you could use S&M efficiency, or net new ARR / S&M spend. While a helpful measure, many companies don’t disclose ARR. Furthermore, this doesn’t incorporate perhaps the most expensive investing cost, developing products. It also does not incorporate gross margins, which can vary between 50-90% for software companies. One metric you could use is incremental gross margin / (incremental S&M, R&D costs). Here the challenge would be the years it takes to develop products and GTM distribution. To get around this, you could use a cumulative number for R&D/S&M costs. You could also use future gross margin dollars and offset them, similar to the magic number. So our metric is 3 year + incremental gross margin / cumulative S&M and R&D costs. Not a great metric but it can’t hurt to try!

    Dig Deeper

  • Mark Leonard on the Harris Computer Group Podcast (2020)

  • Constellation Software Inc. -Annual General Meeting 2023

  • Mark Leonard: The Best Capital Allocator You’ve Never Heard Of

  • The Moments That Made Mark Miller

  • Topicus: Constellation Software 2.0

tags: Mark Leonard, Constellation Software, CSI, CSU, Harris, Topicus, Lumine, AppFolio, Thrasio, ROIC, FCF, EBITA, Mark Miller, Harris Computer, Volaris, SaaS, AWS, Zeckhauser, Clayton Christensen, IBM, Black Knight, ICE, Seth Klarman, Lehman, Jonas, Perseus, Vela, Vencora, FCFA2S, AT&T, T-Mobile
categories: Non-Fiction
 

May 2022 - Play Nice, But Win by Michael Dell and James Kaplan

This month we dive into the history of Dell Computer Corporation, one of the biggest PC and server companies in the world! Michael Dell gives a first-hand perspective of all of Dell’s big successes and failures throughout the years and his intense battle with Carl Icahn, over the biggest management buyout in history.

Tech Themes

  1. Be a Tinkerer. When he was in seventh grade, Michael Dell begged his parents to buy an Apple II computer (which costs ~$5,000 in today's dollars). Immediately after the computer arrived, he took the entire thing apart to see exactly how the system worked. After diving deep into each component, Dell started attending Apple user groups. During one, he met a young and tattered Steve Jobs. Dell began tutoring people on the Apple II's components and how they could get the most out of it. When IBM entered the market in 1980 with the 5150 computer, he did the same thing - took it apart, and examined the components. He realized that almost everything IBM made came from other companies (not IBM) and that the total value of its components was well below the IBM price tag. From this simple insight, he had a business. He started fixing up a couple of computers for local business people in Austin. Dell's machines cost less and delivered more performance. The company got so big (50k - 80k revenue per month) that during his freshman year at UT Austin, Dell decided to drop out, much to his parent's dismay. On May 3rd, 1984, Dell incorporated his company and never returned to school.

  2. Lower Prices and Better Service - a Powerful Combination. Dell Computer Corporation was the original DTC business. Rather than selling in big box retail stores, Dell carried out orders via mail request. When the internet became prominent in the late 90s, Dell started taking orders online. After his insight that the cost of components was significantly lower than the selling price, he flew to the far east to meet his suppliers. He started placing big deals and getting better and better prices. This strategy is the classic low-end disruption pattern that we learned about in Clayton Christensen's, The Innovator's Dilemma – a lowered-priced competitor that offers better service, customizability starts to crush the competition. Christensen is important to note that the internet itself was a sustaining innovation to Dell, but very disruptive to the market as a whole: "Usually, the technology simply is an enabler of the disruptive business model. For example, is the Internet a disruptive technology? You can't say that. If you bring it to Dell, it's a sustaining technology to what Dell's business model was in 1996. It made their processes work better; it helped them meet Dell's customers' needs at lower cost. But when you bring the very same Internet to Compaq, it is very disruptive [to the company's then dealer-only sales model]. So how do we treat that? We praise [CEO Michael] Dell, and we fire Eckhard Pfeiffer [Compaq's former CEO]. In reality, those two managers are probably equally competent." If competitors lowered prices, Dell could find better components and continually lower prices. Dell's strategy led to many departures from the personal PC market – IBM left, HP acquired Compaq in a disastrous deal for HP, and many others never made it back.

  3. Layoffs, Crises, and Opportunities. Dell IPO'd in 1988 and joined the Fortune 500 in 1991 as they hit $800m in sales for the year. So you would think the company would be humming when it hit $2B in sales in 1993, right? Wrong. Everything was breaking. When a company scales that quickly, it doesn't have time to create processes and systems. Personnel issues began to happen more frequently. As Dell recalls, the head of sales had a drinking problem, and the head of HR had a stripper girlfriend on the payroll. The company was late to market with notebooks, and it had to institute a recall on its notebooks which could catch fire in some instances. During that time, Dell hired Bain to do an internal report about how it should change its processes for its new scale – Kevin Rollins of the Bain team knew the business super well and thought incredibly strategically. After the Bain assignment, Rollins joined the company as Vice-chairman, ultimately becoming CEO for a brief period in 2004. One of his first recommendations was to cease its experiment selling through department stores and to stay DTC-focused. During the internet bubble, Dell faced another crisis – its stock had risen precipitously for many years, but once the bubble burst, in a matter of months, it fell from $50 to $17 a share. The company missed its earnings estimates for five quarters in a row and had to do two layoffs – one with 1,700 people and another with 4,000. During this time, an internal poll showed that 50% of Dell team members would leave if another company paid them the same rate. Dell realized that the values statement he had written in 1988 was no longer resonating and needed updating – he refreshed the value statement and focused the company on its role in the global IT economy. Dell understands that you should never waste a great crisis, and always find the opportunity for growth and improvement when things aren't going well.

Business Themes

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  1. Carl Icahn and Dell. No one in business represents a corporate nemesis quite like Carl Icahn. Icahn was born in Rockaway, NY, and earned his tuition money at Princeton playing poker against the rich kids. Icahn is an activist investor and popularized the field of activist investing with some big, bold battles against companies in the early 1980s. Icahn got his start in 1968 by purchasing a seat on the New York Stock Exchange. He completed his first major takeover attempt in 1978, and the rest was history. Icahn takes an intense stance against companies, typically around big mergers, acquisitions, or divestitures. He 1) buys up a lot of shares, like 5-10% of a company, 2) accuses the company and usually the management of incompetence or a lousy strategy 3) argues for some action - a sale of a division, a change in management, a special dividend 4) sues the company in a variety of ways around shareholder negligence 5) sends letters to shareholders and the company detailing his findings/claims 6) puts up a new slate of board members at the company 7) waits to profit or gets paid to go away (also called greenmail). Icahn used these exact tactics when he took on Michael Dell. Icahn issued several scathing letters about Dell, criticizing the company's poor performance, highlighting Michael Dell's obvious conflicts of interest as CEO, and demanding the special committee evaluate the deal fairly. Icahn normally makes money when he gets involved, and he is essentially a gnat that doesn't go away until he makes money one way or another. After the fight, Icahn still made a profit of 10s of millions, and his fight with Dell was just beginning.

  2. Take Privates and Transformation. Michael Dell had thought a couple of times about taking the company private when he was approached by Egon Durban of Silver Lake Partners, a large tech private equity firm. Dell and Zender went on a walk in Hawaii and worked out what a transaction might be. The issue with Dell at that time was that the PC market was under siege. People thought tablets were the future, and their questions found confirmation in the PC market's declining volumes. Dell had spent $14B on an acquisition spree, acquiring a string of enterprise software companies, including Quest Software, SonicWall, Boomi, Secureworks, and more, as it redirected its strategy. But these companies had yet to kick into gear, and most of Dell's business was still PCs and servers. The stock price had fallen about 45% since Michael Dell had rejoined as CEO in 2007. Dell had thought about taking the company private a couple of other times, but now seemed like a great time - they needed to transform, and fast. Enacting a transformation in the public markets is tough because wall street focuses on quarter-to-quarter metrics over long-term vision. He first considered the idea in June 2012 when talking with the then largest shareholder Southeastern Asset Management. After letting the idea percolate, Dell held discussions with Silver Lake and KKR. Silver Lake and Dell submitted a bid at $12.70, then $12.90, then $13.25, then $13.60, then $13.65. On February 4th, 2013, the special committee accepted Silver Lake's offer. On March 5th, Carl Icahn entered the fray, saying he owned about $1b of shares. Icahn submitted a half proposal suggesting the company pay a one-time special dividend, he would acquire a substantial part of the stock and it would remain public, under different leadership. On July 18th, the special committee delayed a vote on the acquisition because it became clear that Dell couldn't get enough of the "majority of the minority" votes needed to close the acquisition. A few weeks later, Silver Lake and Dell raised their bid to $13.75 (the original asking price of the committee), and the committee agreed to remove the voting standard, allowing the SL/Dell combo to win the deal. After various lawsuits, Icahn gave up in September 2013, when it became clear he had no strategy to convince shareholders to his side. It was an absolute whirlwind of a deal process, and Dell escaped with his company.

  3. Big Deals. After Dell went private, Michael Dell and Egon Durban started scouring the world for enticing tech acquisitions. They closed on a small $1.4B storage acquisition, which reaffirmed Michael Dell's interest in the storage market. After the deal, Dell reconsidered something that almost happened in 2008/09 – a merger with EMC. EMC was the premier enterprise storage company with a dominant market share. On top of that, EMC owned VMware, a software company that had successfully virtualized the x86 architecture so servers could run multiple operating systems simultaneously. Throughout 2008 and 2009, Dell and EMC had deeply considered a merger – to the point that its boards held joint discussions about integration plans and deal price. The boards scrapped the deal during the financial crisis, and in the ensuing years, EMC grew and grew. By 2014 it was a $59B public company and the largest company in Massachusetts. In mid-2014, Dell started to consider the idea. He pondered the strategic and competitive implications of the deal everywhere he went. Little did he know that he was already late to the party – it later came out that both HP and Cisco had looked at acquiring EMC in 2013. HP got down to the wire, with the deal being championed by Meg Whitman, as a way to move past the Autonomy debacle and board room in-fighting. HP had a handshake agreement to merge with EMC in a 1:1 deal, but at the last minute, HP re-traded and demanded a more advantageous split (i.e. HP would own 55% of the combined company) and EMC said no. When EMC then turned to Dell, Whitman slammed the deal. While the only remaining competitor of size was Dell, there was still a question of how they could finance the deal, especially as a private company. Dell's ultimate package was a pretty crazy mix of considerations: Dell issued a tracking stock related specifically to Dell's business, it then took out some $40b in loans against its newly acquired VMWare equity and the cash flow of Dell's underlying business, Michael Dell and Silver lake also put in an additional $5B of equity capital. After Silver Lake and Dell determined the financing structure, Dell faced a grueling interrogation session in front of the EMC board as final approval for the deal. The deal was announced on October 12th, 2015, and it closed a year later. By all measures, it appears the deal was a success – the company has undergone a complete transformation – shedding some acquired assets, spinning off VMWare, and going public again by acquiring its own tracking stock. Michael Dell took some huge risks - taking his company private and completing the biggest tech merger in history. It seems to have paid off handsomely.

Dig Deeper

  • Michael Dell, Dell Technologies | Dell Technologies World 2022

  • Steve Jobs hammers Michael Dell (1997)

  • Michael Dell interview - 7/23/1991

  • Background of the Merger - the full SEC timeline of the EMC-Dell Merger

  • Carl Icahn's First Ever Interview | 1985

tags: Michael Dell, Dell, Carl Icahn, Apple, Steve Jobs, HP, Cisco, Meg Whitman, IBM, Austin, DTC, Clayton Christensen, Innovator's Dilemma, Compaq, Kevin Rollins, Bain, Internet History, Activist, Silver Lake, Quest Software, SonicWall, Secureworks, Egon Durban, KKR, Southeastern Asset Management, EMC, Joe Tucci, VMware
categories: Non-Fiction
 

January 2022 - Seven Powers by Hamilton Helmer

This month we dove into a classic technology strategy book. The book covers seven major Powers a company can have that offer both a benefit and a barrier to competition. Helmer covers the majority of the book through the lens of different case studies including his favorite company, Netflix.

Tech Themes

  1. Power. After years as a consultant at BCG and decades investing in the public market, Helmer distilled all successful business strategies to seven individual Powers. A Power offers a company a re-inforcing benefit while also providing a barrier to potential competition. This is the epitome of an enduring business model in Helmer's mind. Power describes a company's strength relative to a specific competitor, and Powers focus on a single business unit rather than throughout a business. This makes sense: Apple may have a scale economies Power from its iPhone install base relative to Samsung, but it may not have Power in its AppleTV originals segment relative to Netflix. The seven types of Powers are: Scale Economies, Network Economies, Counter-Positioning, Switching Costs, Branding, Cornered Resources, and Process Power.

  2. Invention. While Powers are somewhat easy to spot (scale economies of Google's search algorithm), creating them is anything but easy. So what underlies every one of the seven Powers? Invention. Helmer pulls invention through the lens of industry Dynamics - external competitive conditions and the forward march of technology create opportunities to pursue new business models, processes, brands, and products. Companies must leverage their resources to craft Powers through trial and error, rather than an upfront conscious decision to pursue something by design. I view this almost as an extension of Clayton Christensen's Resource-Processes-Values (RPV) framework we discussed in July 2020. Companies can find a route to Power through these resources and the crafting process. For Netflix, the route was streaming, but the actual Power came from a strong push into exclusive and original content. The streaming business opened up Netflix's subscriber base, and the content decision provided the ability to amortize great content across its growing subscriber base.

  3. Power Progressions. Powers become available at different points in business progression. This makes sense - what drives a company forward in an unpenetrated market is different from what keeps it going during steady-state - Snowflake's competitive dynamics are different than Nestle's. Helmer defines three stages to a company: Origination, Takeoff, and Stability. These stages mirror the dynamics of S-Curves, which we discussed in our July 2021 book. During the Origination stage, companies can benefit from Cornered Resources and Counter-Positioning. Helmer uses the Pixar management team as an example of Cornered Resources during the Origination phase of 3D animated movies. The company had Steve Jobs (product visionary), John Lasseter (story-teller creative), and Ed Catmull (operations and technology leader). During the early days of the industry, these were the only people that knew how to operate a digital film studio. Another Cornered Resource example might be a company finding a new oil well. Before the company starts drilling, it is the only one that can own that asset. An example of Origination Counter-Positioning might be TSMC when they first launched. At that time, it was standard industry perception that semiconductor companies had to be integrated design manufacturers (IDM) - they had to do everything in-house. TSMC was launched as solely a fabrication facility that companies could use to gain extra manufacturing capacity or try out new designs. This gave them great Counter-Positioning relative to the IDM's and they were dismissed as a non-threat. The Takeoff period offers Network Economies, Scale Economies, and Switching Cost Powers. This phase is the growth phase of businesses. Snowflake currently benefits from Switching Cost dynamics - once you use Snowflake, it's unlikely you'll want to use other data warehouse providers because that process involves data replication and additional costs. Scale economies can be seen in businesses that amortize high costs over their user base, like Amazon. Amazon invests in distribution centers at a significant scale, which improves customer experience, which helps them get more customers - the flywheel repeats, allowing Amazon to continually invest in more distribution centers, further building its scale. Network economies show in social media businesses like Bytedance/TikTok. Users make content that attracts more users; incremental users join the platform because there is so much content to "gain" by joining the platform. Like scale economies, it's almost impossible to go build a competitor because a new company would have to recruit all users from the other platform, which would cost tons of money. The Stability phase offers Branding and Process Power. Branding is hard to generate, but the advantage grows with time. Consider luxury goods providers like LVMH; the older, the more exclusive the brand, the more it's desired, and every day it gets older and becomes more desired. A business can create Process Power by refining and improving operations to such a high degree that it becomes difficult to replicate. Classic examples of Process Power are TSMC's innovative 3-5nm processes today and Toyota's Production System. Toyota has even allowed competitors to tour its factory, but no competitor has replicated its operational efficiency.

Business Themes

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  1. Sneak Attack. I've always been surprised by businesses that seemingly "come out of nowhere." In Helmer's eyes, this stems from Counter-Positioning. He tells the story of Vanguard, which was started by Jack Bogle in 1976. "You could charitably describe the reception as enthusiastic: only $11M trickled in from investors. Soon after the launch, [Noble Laureate Paul] Samuelson himself lauded the effort in his column for Newsweek, but with little result: the fund had only reached $17M by mid-1977. Vanguard's operating model depended on others for distribution, and brokers, in particular, were put off by a product that predicated on the notion that they provided no value in helping their clients choose which active funds to select." But Vanguard had something that active managers didn't: low fees and consistency. Vanguard's funds performed like the indices and cost much less than active funds. No longer were individuals underperforming the market and paying advisors to pick actively managed funds. Furthermore, Vanguard continually invested all profits back into its funds, so it looked like it wasn't making money while it grew its assets under management. It's so hard to spot these sneak attacks while they are happening. But one that might be happening right now is Cloudflare relative to AWS. Cloudflare launched its low-cost R2 service (a play on Amazon's famous S3 storage technology). Cloudflare is offering a cheaper product at a much lower cost and is leveraging its large installed base with its CDN product to get people in the door. It's unclear whether this will offer Power over AWS because it's confusing what the barrier might be other than some relating to switching costs. However, there will likely be reluctance on AWS's part to cut prices because of its scale and public company growth targets.

  2. A New Valuation Formula. Helmer offers a very unique take on the traditional DCF valuation approach. Investors have long suggested the value of any business was equal to the present value of its future discounted cash flows. In contrast to the traditional approach of summing up a firm's cash flows and discounting it, Helmer takes a look at all of the cash flows subject to the industry in which firms compete. In this formula (shown above), M0 represents the current market size, g the discounted market growth factor, s the long-term market share of the company, and m the long-term differential margin (net profit margin over that needed to cover the cost of capital). More simply, a company is worth it's Market Scale (Mo x g) x its Power (s x m). This implies that a company is worth the portion of the industry's profits it collects over time. This formula helps consider Power progression relative to industry dynamics and company stage. In the Origination stage, an industry's profits may be small but growing very quickly. If we think that a competitor in the industry can achieve an actual Power, it will likely gain a large portion of the long-term market. Thus, watching market share dynamics unfold can tell us about the potential for a route to Power and the ability for a company to achieve a superior value to its near-term cash flows.

  3. Collateral Damage. If companies are aware of these Powers and how other companies can achieve them, how can companies not take proactive action to avoid being on the losing end of a Power struggle? Helmer lays out what he calls Collateral Damage, or the unwillingness of a competitor to find the right path to navigating the damage caused by a competitor's Power. His point is actually very nuanced - it's not the incumbent's unwillingness to invest in the same type of solution as the competitor (although that happens). The incumbent's business gets trashed as collateral damage by the new entrant. The incumbent can respond to the challenger by investing in the new innovation. But where counter-positioning really takes hold is if the incumbent recognizes the attractiveness of the business model/innovation but is stymied from investing. Why would a business leader choose not to invest in something attractive? In the case of Vanguard competitor Fidelity, any move into passive funds could cause steep cannibalization of their revenue. So in response, a CEO might decide to just keep their existing business and "milk" all of its cash flow. In addition, how could Fidelity invest in a business that completely undermined their actively managed mutual fund business? Often CEOs will have a negative bias toward the competing business model despite the positive NPV of an investment in the new business. Just think how long it took SAP to start selling Cloud subscriptions compared to its on-premise license/maintenance model. Lastly, a CEO might not invest in the promising new business model if they are worried about job security. This is the classic example of the principal-agent problem we discussed in June. Would you invest in a new, unproven business model if you faced a declining stock price and calls for your resignation? In addition, annual CEO compensation is frequently tagged to stock price performance and growth targets. The easiest way to achieve near-term stock price appreciation and growth targets is staying with what has worked in the past (and M&A!). Its the path of least resistance! Counter-positioning and collateral damage are nuanced and difficult to spot, but the complex emotions and issues become obvious over time.

Dig Deeper

  • The 7 Powers with Hamilton Helmer & Jeff Lawson (CEO of Twilio)

  • Hamilton Helmer Discusses 7Powers with Acquired Podcast

  • Vanguard Founder Jack Bogle's '90s Interview Shows His Investing Philosophy

  • Bernard Arnault, Chairman and CEO of LVMH | The Brave Ones

  • S-curves in Innovation

tags: Hamilton Helmer, 7 Powers, Reed Hastings, Netflix, SAP, Snowflake, Amazon, TSMC, Tiktok, Bytedance, BCG, iPhone, Apple, LVMH, Google, Clayton Christensen, S-Curve, Steve Jobs, John Lasseter, Ed Catmull, Toyota, Vanguard, Fidelity, Cloudflare
categories: Non-Fiction
 

May 2021 - Crossing the Chasm by Geoffrey Moore

This month we take a look at a classic high-tech growth marketing book. Originally published in 1991, Crossing the Chasm became a beloved book within the tech industry although its glory seems to have faded over the years. While the book is often overly prescriptive in its suggestions, it provides several useful frameworks to address growth challenges primarily early on in a company’s history.

Tech Themes

  1. Technology Adoption Life Cycle. The core framework of the book discusses the evolution of new technology adoption. It was an interesting micro-view of the broader phenomena described in Carlota Perez’s Technological Revolutions. In Moore’s Chasm-crossing world, there are five personas that dominate adoption: innovators, early adopters, early majority, late majority, and laggards. Innovators are technologists, happy to accept more challenging user experiences to push the boundaries of their capabilities and knowledge. Early adopters are intuitive buyers that enjoy trying new technologies but want a slightly better experience. The early majority are “wait and see” folks that want others to battle test the technology before trying it out, but don’t typically wait too long before buying. The late majority want significant reference material and usage before buying a product. Laggards simply don’t want anything to do with new technology. It is interesting to think of this adoption pattern in concert with big technology migrations of the past twenty years including: mainframes to on-premise servers to cloud computing, home phones to cell phones to iphone/android, radio to CDs to downloadable music to Spotify, and cash to check to credit/debit to mobile payments. Each of these massive migration patterns feels very aligned with this adoption model. Everyone knows someone ready to apply the latest tech, and someone who doesn’t want anything to do with it (Warren Buffett!).

  2. Crossing the Chasm. If we accept the above as a general way products are adopted by society (obviously its much more of a mish/mash in reality), we can posit that the most important step is from the early adopters to the early majority - the spot where the bell curve (shown below) really opens up. This is what Geoffrey Moore calls Crossing the Chasm. This idea is highly reminiscent of Clay Christensen’s “not good enough” disruption pattern and Gartner’s technology hype cycle. The examples Moore uses (in 1991) are also striking: Neural networking software and desktop video conferencing. Moore lamented: “With each of these exciting, functional technologies it has been possible to establish a working system and to get innovators to adopt it. But it has not as yet been possible to carry that success over to the early adopters.” Both of these technologies have clearly crossed into the mainstream with Google’s TensorFlow machine learning library and video conferencing tools like Zoom that make it super easy to speak with anyone over video instantly. So what was the great unlock for these technologies, that made these commercially viable and successfully adopted products? Well since 1990 there have been major changes in several important underlying technologies - computer storage and data processing capabilities are almost limitless with cloud computing, network bandwidth has grown exponentially and costs have dropped, and software has greatly improved the ability to make great user experiences for customers. This is a version of not-good-enough technologies that have benefited substantially from changes in underlying inputs. The systems you could deploy in 1990 just could not have been comparable to what you can deploy today. The real question is - are there different types of adoption curves for differently technologies and do they really follow a normal distribution as Moore shows here?

  3. Making Markets & Product Alternatives. Moore positions the book as if you were a marketing executive at a high-tech company and offers several exercises to help you identify a target market, customer, and use case. Chapter six, “Define the Battle” covers the best way to position a product within a target market. For early markets, competition comes from non-consumption, and the company has to offer a “Whole Product” that enables the user to actually derive benefit from the product. Thus, Moore recommends targeting innovators and early adopters who are technologist visionaries able to see the benefit of the product. This also mirrors Clayton Christensen’s commoditization de-commoditization framework, where new market products must offer all of the core components to a system combined into one solution; over time the axis of commoditization shifts toward the underlying components as companies differentiate by using faster and better sub-components. Positioning in these market scenarios should be focused on the contrast between your product and legacy ways of performing the task (use our software instead of pen and paper as an example). In mainstream markets, companies should position their products within the established buying criteria developed by pragmatist buyers. A market alternative serves as the incumbent, well-known provider and a product alternative is a near upstart competitor that you are clearly beating. What’s odd here is that you are constantly referring to your competitors as alternatives to your product, which seems counter-intuitive but obviously, enterprise buyers have alternatives they are considering and you need to make the case that your solution is the best. Choosing a market alternative lets you procure a budget previously used for a similar solution, and the product alternative can help differentiate your technology relative to other upstarts. Moore’s simple positioning formula has helped hundreds of companies establish their go-to-market message: “For (target customers—beachhead segment only) • Who are dissatisfied with (the current market alternative) • Our product is a (new product category) • That provides (key problem-solving capability). • Unlike (the product alternative), • We have assembled (key whole product features for your specific application).”

Business Themes

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  1. What happened to these examples? Moore offers a number of examples of Crossing the Chasm, but what actually happened to these companies after this book was written? Clarify Software was bought in October 1999 by Nortel for $2.1B (a 16x revenue multiple) and then divested by Nortel to Amdocs in October 2001 for $200M - an epic disaster of capital allocation. Documentum was acquired by EMC in 2003 for $1.7B in stock and was later sold to OpenText in 2017 for $1.6B. 3Com Palm Pilot was a mess of acquisitions/divestitures. Palm was acquired by U.S Robotics which was acquired by 3COM in 1997 and then subsequently spun out in a 2000 IPO which saw a 94% drop. Palm stopped making PDA devices in 2008 and in 2010, HP acquired Palm for $1.2B in cash. Smartcard maker Gemplus merged with competitor Axalto in an 1.8Bn euro deal in 2005, creating Gemalto, which was later acquired by Thales in 2019 for $8.4Bn. So my three questions are: Did these companies really cross the chasm or were they just readily available success stories of their time? Do you need to be the company that leads the chasm crossing or can someone else do it to your benefit? What is the next step in the chasm journey after its crossed and why did so many of these companies fail after a time?

  2. Whole Products. Moore leans into an idea called the Whole Product Concept which was popularized by Theodore Levitt’s 1983 book The Marketing Imagination and Bill Davidow’s (of early VC Mohr Davidow) 1986 book Marketing High Technology. Moore explains the idea: “The concept is very straightforward: There is a gap between the marketing promise made to the customer—the compelling value proposition—and the ability of the shipped product to fulfill that promise. For that gap to be overcome, the product must be augmented by a variety of services and ancillary products to become the whole product.” There are four different perceptions of the product: “1. Generic product: This is what is shipped in the box and what is covered by the purchasing contract. 2.Expected product: This is the product that the consumer thought she was buying when she bought the generic product. It is the minimum configuration of products and services necessary to have any chance of achieving the buying objective. For example, people who are buying personal computers for the first time expect to get a monitor with their purchase-how else could you use the computer?—but in fact, in most cases, it is not part of the generic product. 3.Augmented product: This is the product fleshed out to provide the maximum chance of achieving the buying objective. In the case of a personal computer, this would include a variety of products, such as software, a hard disk drive, and a printer, as well as a variety of services, such as a customer hotline, advanced training, and readily accessible service centers. 4. Potential product: This represents the product’s room for growth as more and more ancillary products come on the market and as customer-specific enhancements to the system are made. These are the product features that have maybe expected or additional to drive adoption.” Moore makes a subtle point that after a while, investments in the generic/out-of-the-box product functionality drive less and less purchase behavior, in tandem with broader market adoption. Customers want to be wooed by the latest technology and as products become similar, customers care less about what’s in the product today, and more about what’s coming. Moore emphasizes Whole Product Planning where you can see how you get to those additional features into the product over time - but Moore was also operating in an era when product decisions and development processes were on two-year+ timelines and not in the DevOps era of today, where product updates are pushed daily in some cases. In the bottoms-up/DevOps era, its become clear that finding your niche users, driving strong adoption from them, and integrating feature ideas from them as soon as possible can yield a big success.

  3. Distribution Channels. Moore focuses on each of the potential ways a company can distribute its solutions: Direct Sales, two-tier retail, one-tier retail, internet retail, two-tier value-added reselling, national roll-ups, original equipment manufacturers (OEMs), and system integrators. As Moore puts it, “The number-one corporate objective, when crossing the chasm, is to secure a channel into the mainstream market with which the pragmatist customer will be comfortable.” These distribution types are clearly relics of technology distribution in the early 1990s. Great direct sales have produced some of the best and biggest technology companies of yesterday including IBM, Oracle, CA Technologies, SAP, and HP. What’s so fascinating about this framework is that you just need one channel to reach the pragmatist customer and in the last 10 years, that channel has become the internet for many technology products. Moore even recognizes that direct sales had produced poor customer alignment: “First, wherever vendors have been able to achieve lock-in with customers through proprietary technology, there has been the temptation to exploit the relationship through unfairly expensive maintenance agreements [Oracle did this big time] topped by charging for some new releases as if they were new products. This was one of the main forces behind the open systems rebellion that undermined so many vendors’ account control—which, in turn, decrease predictability of revenues, putting the system further in jeopardy.” So what is the strategy used by popular open-source bottoms up go-to-market motions at companies like Github, Hashicorp, Redis, Confluent and others? Its straightforward - the internet and simple APIs (normally on Github) provide the fastest channel to reach the developer end market while they are coding. When you look at Open Source scaling, it can take years and years to Cross the Chasm because most of these early open source adopters are technology innovators, however, eventually, solutions permeate into massive enterprises and make the jump. With these new go-to-market motions coming on board, driven by the internet, we’ve seen large companies grow from primarily inbound marketing tactics and less direct outbound sales. The companies named above as well as Shopify, Twilio, Monday.com and others have done a great job growing to a massive scale on the backs of their products (product-led growth) instead of a salesforce. What’s important to realize is that distribution is an abstract term and no single motion or strategy is right for every company. The next distribution channel will surprise everyone!

Dig Deeper

  • How the sales team behind Monday is changing the way workplaces collaborate

  • An Overview of the Technology Adoption Lifecycle

  • A Brief History of the Cloud at NDC Conference

  • Frank Slootman (Snowflake) and Geoffrey Moore Discuss Disruptive Innovations and the Future of Tech

  • Growth, Sales, and a New Era of B2B by Martin Casado (GP at Andreessen Horowitz)

  • Strata 2014: Geoffrey Moore, "Crossing the Chasm: What's New, What's Not"

tags: Crossing the Chasm, Github, Hashicorp, Redis, Monday.com, Confluent, Open Source, Snowflake, Shopify, Twilio, Geoffrey Moore, Gartner, TensorFlow, Google, Clayton Christensen, Zoom, nORTEL, Amdocs, OpenText, EMC, HP, CA, IBM, Oracle, SAP, Gemalto, DevOps
categories: Non-Fiction
 

April 2021 - Innovator's Solution by Clayton Christensen and Michael Raynor

This month we take another look at disruptive innovation in the counter piece to Clayton Christensen’s Innovator’s Dilemma, our July 2020 book. The book crystallizes the types of disruptive innovation and provides frameworks for how incumbents can introduce or combat these innovations. The book was a pleasure to read and will serve as a great reference for the future.

Tech Themes

  1. Integration and Outsourcing. Today, technology companies rely on a variety of software tools and open source components to build their products. When you stitch all of these components together, you get the full product architecture. A great example is seen here with Gitlab, an SMB DevOps provider. They have Postgres for a relational database, Redis for caching, NGINX for request routing, Sentry for monitoring and error tracking and so on. Each of these subsystems interacts with each other to form the powerful Gitlab project. These interaction points are called interfaces. The key product development question for companies is: “Which things do I build internally and which do I outsource?” A simple answer offered by many MBA students is “Outsource everything that is not part of your core competence.” As Clayton Christensen points out, “The problem with core-competence/not-your-core-competence categorization is that what might seem to be a non-core activity today might become an absolutely critical competence to have mastered in a proprietary way in the future, and vice versa.” A great example that we’ve discussed before is IBM’s decision to go with Microsoft DOS for its Operating System and Intel for its Microprocessor. At the time, IBM thought it was making a strategic decision to outsource things that were not within its core competence but they inadvertently gave almost all of the industry profits from personal computing to Intel and Microsoft. Other competitors copied their modular approach and the whole industry slugged it out on price. The question of whether to outsource really depends on what might be important in the future. But that is difficult to predict, so the question of integration vs. outsourcing really comes down to the state of the product and market itself: is this product “not good enough” yet? If the answer is yes, then a proprietary, integrated architecture is likely needed just to make the actual product work for customers. Over time, as competitors enter the market and the fully integrated platform becomes more commoditized, the individual subsystems become increasingly important competitive drivers. So the decision to outsource or build internally must be made on the status of product and the market its attacking.

  2. Commoditization within Stacks. The above point leads to the unbelievable idea of how companies fall into the commoditization trap. This happens from overshooting, where companies create products that are too good (which I find counter-intuitive, who thought that doing your job really well would cause customers to leave!). Christensen describes this through the lens of a salesperson “‘Why can’t they see that our product is better than the competition? They’re treating it like a commodity!’ This is evidence of overshooting…there is a performance surplus. Customers are happy to accept improved products, but unwilling to pay a premium price to get them.” At this time, the things demanded by customers flip - they are willing to pay premium prices for innovations along a new trajectory of performance, most likely speed, convenience, and customization. “The pressure of competing along this new trajectory of improvement forces a gradual evolution in product architectures, away from the interdependent, proprietary architectures that had the advantage in the not-good-enough era toward modular designs in the era of performance surplus. In a modular world, you can prosper by outsourcing or by supplying just one element.” This process of integration, to modularization and back, is super fascinating. As an example of modularization, let’s take the streaming company Confluent, the makers of the open-source software project Apache Kafka. Confluent offers a real-time communications service that allows companies to stream data (as events) rather than batching large data transfers. Their product is often a sub-system underpinning real-time applications, like providing data to traders at Citigroup. Clearly, the basis of competition in trading has pivoted over the years as more and more banking companies offer the service. Companies are prioritizing a new axis, speed, to differentiate amongst competing services, and when speed is the basis of competition, you use Confluent and Kafka to beat out the competition. Now let’s fast forward five years and assume all banks use Kafka and Confluent for their traders, the modular sub-system is thus commoditized. What happens? I’d posit that the axis would shift again, maybe towards convenience, or customization where traders want specific info displayed maybe on a mobile phone or tablet. The fundamental idea is that “Disruption and commoditization can be seen as two sides of the same coin. That’s because the process of commoditization initiates a reciprocal process of de-commoditization [somewhere else in the stack].”

  3. The Disruptive Becomes the Disruptor. Disruption is a relative term. As we’ve discussed previously, disruption is often mischaracterized as startups enter markets and challenge incumbents. Disruption is really a focused and contextual concept whereby products that are “not good enough” by market standards enter a market with a simpler, more convenient, or less expensive product. These products and markets are often dismissed by incumbents or even ceded by market leaders as those leaders continue to move up-market to chase even bigger customers. Its fascinating to watch the disruptive become the disrupted. A great example would be department stores - initially, Macy’s offered a massive selection that couldn’t be found in any single store and customers loved it. They did this by turning inventory three times per year with 40% gross margins for a 120% return on capital invested in inventory. In the 1960s, Walmart and Kmart attacked the full-service department stores by offering a similar selection at much cheaper prices. They did this by setting up a value system whereby they could make 23% gross margins but turn inventories 5 times per year, enabling them to earn the industry golden 120% return on capital invested in inventory. Full-service department stores decided not to compete against these lower gross margin products and shifted more space to beauty and cosmetics that offered even higher gross margins (55%) than the 40% they were used to. This meant they could increase their return on capital invested in inventory and their profits while avoiding a competitive threat. This process continued with discount stores eventually pushing Macy’s out of most categories until Macy’s had nowhere to go. All of a sudden the initially disruptive department stores had become disrupted. We see this in technology markets as well. I’m not 100% this qualifies but think about Salesforce and Oracle. Marc Benioff had spent a number of years at Oracle and left to start Salesforce, which pioneered selling subscription, cloud software, on a per-seat revenue model. This meant a much cheaper option compared to traditional Oracle/Siebel CRM software. Salesforce was initially adopted by smaller customers that didn’t need the feature-rich platform offered by Oracle. Oracle dismissed Salesforce as competition even as Oracle CEO Larry Ellison seeded Salesforce and sat on Salesforce’s board. Today, Salesforce is a $200B company and briefly passed Oracle in market cap a few months ago. But now, Salesforce has raised its prices and mostly targets large enterprise buyers to hit its ambitious growth initiatives. Down-market competitors like Hubspot have come into the market with cheaper solutions and more fully integrated marketing tools to help smaller businesses that aren’t ready for a fully-featured Salesforce platform. Disruption is always contextual and it never stops.

Business Themes

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  1. Low-end-Market vs. New-Market Disruption. There are two types of established methods for disruption: Low-end-market (Down-market) and New-market. Low-end-market disruption seeks to establish performance that is “not good enough” along traditional lines, and targets overserved customers in the low-end of the mainstream market. It typically utilizes a new operating or financial approach with structurally different margins than up-market competitors. Amazon.com is a quintessential low-end market disruptor compared to traditional bookstores, offering prices so low they angered book publishers while offering unmatched convenience to customers allowing them to purchase books online. In contrast, Robinhood is a great example of a new-market disruption. Traditional discount brokerages like Charles Schwab and Fidelity had been around for a while (themselves disruptors of full-service models like Morgan Stanley Wealth Management). But Robinhood targeted a group of people that weren’t consuming in the market, namely teens and millennials, and they did it in an easy-to-use app with a much better user interface compared to Schwab and Fidelity. Robinhood also pioneered new pricing with zero-fee trading and made revenue via a new financial approach, payment for order flow (PFOF). Robinhood makes money by being a data provider to market makers - basically, large hedge funds, like Citadel, pay Robinhood for data on their transactions to help optimize customers buying and selling prices. When approaching big markets its important to ask: Is this targeted at a non-consumer today or am I competing at a structurally lower margin with a new financial model and a “not quite good enough” product? This determines whether you are providing a low-end market disruption or a new-market disruption.

  2. Jobs To Be Done. The jobs to be done framework was one of the most important frameworks that Clayton Christensen ever introduced. Marketers typically use advertising platforms like Facebook and Google to target specific demographics with their ads. These segments are narrowly defined: “Males over 55, living in New York City, with household income above $100,000.” The issue with this categorization method is that while these are attributes that may be correlated with a product purchase, customers do not look up exactly how marketers expect them to behave and purchase the products expected by their attributes. There may be a correlation but simply targeting certain demographics does not yield a great result. The marketers need to understand why the customer is adopting the product. This is where the Jobs to Be Done framework comes in. As Christensen describes it, “Customers - people and companies - have ‘jobs’ that arise regularly and need to get done. When customers become aware of a job that they need to get done in their lives, they look around for a product or service that they can ‘hire’ to get the job done. Their thought processes originate with an awareness of needing to get something done, and then they set out to hire something or someone to do the job as effectively, conveniently, and inexpensively as possible.” Christensen zeroes in on the contextual adoption of products; it is the circumstance and not the demographics that matter most. Christensen describes ways for people to view competition and feature development through the Jobs to Be Done lens using Blackberry as an example (later disrupted by the iPhone). While the immature smartphone market was seeing feature competition from Microsoft, Motorola, and Nokia, Blackberry and its parent company RIM came out with a simple to use device that allowed for short productivity bursts when the time was available. This meant they leaned into features that competed not with other smartphone providers (like better cellular reception), but rather things that allowed for these easy “productive” sessions like email, wall street journal updates, and simple games. The Blackberry was later disrupted by the iPhone which offered more interesting applications in an easier to use package. Interestingly, the first iPhone shipped without an app store (but as a proprietary, interdependent product) and was viewed as not good enough for work purposes, allowing the Blackberry to co-exist. Management even dismissed the iPhone as a competitor initially. It wasn’t long until the iPhone caught up and eventually surpassed the Blackberry as the world’s leading mobile phone.

  3. Brand Strategies. Companies may choose to address customers in a number of different circumstances and address a number of Jobs to Be Done. It’s important that the Company establishes specific ways of communicating the circumstance to the customer. Branding is powerful, something that Warren Buffett, Terry Smith, and Clayton Christensen have all recognized as durable growth providers. As Christensen puts it: “Brands are, at the beginning, hollow words into which marketers stuff meaning. if a brand’s meaning is positioned on a job to be done, then when the job arises in a customer’s life, he or she will remember the brand and hire the product. Customers pay significant premiums for brands that do a job well.” So what can a large corporate company do when faced with a disruptive challenger to its branding turf? It’s simple - add a word to their leading brand, targeted at the circumstance in which a customer might find themself. Think about Marriott, one of the leading hotel chains. They offer a number of hotel brands: Courtyard by Marriott for business travel, Residence Inn by Marriott for a home away from home, the Ritz Carlton for high-end luxurious stays, Marriott Vacation Club for resort destination hotels. Each brand is targeted at a different Job to Be Done and customers intuitively understand what the brands stand for based on experience or advertising. A great technology example is Amazon Web Services (AWS), the cloud computing division of Amazon.com. Amazon invented the cloud, and rather than launch with the Amazon.com brand, which might have confused their normal e-commerce customers, they created a completely new brand targeted at a different set of buyers and problems, that maintained the quality and recognition that Amazon had become known for. Another great retail example is the SNKRs app released by Nike. Nike understands that some customers are sneakerheads, and want to know the latest about all Nike shoe drops, so Nike created a distinct, branded app called SNKRS, that gives news and updates on the latest, trendiest sneakers. These buyers might not be interested in logging into the Nike app and may become angry after sifting through all of the different types of apparel offered by Nike, just to find new shoes. The SNKRS app offers a new set of consumers and an easy way to find what they are looking for (convenience), which benefits Nike’s core business. Branding is powerful, and understanding the Job to Be Done helps focus the right brand for the right job.

Dig Deeper

  • Clayton Christensen’s Overview on Disruptive Innovation

  • Jobs to Be Done: 4 Real-World Examples

  • A Peek Inside Marriott’s Marketing Strategy & Why It Works So Well

  • The Rise and Fall of Blackberry

  • Payment for Order Flow Overview

  • How Commoditization Happens

tags: Clayton Christensen, AWS, Nike, Amazon, Marriott, Warren Buffett, Terry Smith, Blackberry, RIM, Microsoft, Motorola, iPhone, Facebook, Google, Robinhood, Citadel, Schwab, Fidelity, Morgan Stanley, Oracle, Salesforce, Walmart, Macy's, Kmart, Confluent, Kafka, Citigroup, Intel, Gitlab, Redis
categories: Non-Fiction
 

January 2021 - Technological Revolutions and Financial Capital: The Dynamics of Bubbles and Golden Ages by Carlota Perez

This month we read Carlota Perez’s understudied book covering the history of technology breakthroughs and revolutions. This book marries the role of financing and technology breakthrough so seamlessly in an easy to digest narrative style.

Tech Themes

  1. The 5 Technology Revolutions. Perez identifies the five major technological revolutions: The Industrial Revolution (1771-1829), The Age of Steam and Railways (1829-1873), The Age of Steel, Electricity and Heavy Engineering (1875-1918), The Age of Oil, the Automobile and Mass Production (1908-1974), and The Age of Information and Telecommunications (1971-Today). When looking back at these individual revolutions, one can recognize how powerful it is to view the world and technology in these incredibly long waves. Many of these periods lasted for over fifty years while their geographic dispersion and economic effects fully came to fruition. These new technologies fundamentally alter society - when it becomes clear that the revolution is happening, many people jump on the bandwagon. As Perez puts it, “The great clusters of talent come forth after the evolution is visible and because it is visible.” Each revolution produces a myriad of change in society. The industrial revolution popularized factory production, railways created national markets, electricity created the power to build steel buildings, oil and cars created mass markets and assembly lines, and the microprocessor and internet created amazing companies like Amazon and Airbnb.

  2. The Phases of Technology Revolution. After a decently long gestation period during which the old revolution has permeated across the world, the new revolution normally starts with a big bang, some discovery or breakthrough (like the transistor or steam engine) that fundamentally pushed society into a new wave of innovation. Coupled with these big bangs, is re-defined infrastructure from the prior eras - as an example, the Telegraph and phone wires were created along the initial railways, as they allowed significant distance of uninterrupted space to build on. Another example is electricity - initially, homes were wired to serve lightbulbs, it was only many years later that great home appliances came into use. This initial period of application discovery is called the Irruption phase. The increasing interest in forming businesses causes a Frenzy period like the Railway Mania or the Dot-com Boom, where everyone thinks they can get rich quick by starting a business around the new revolution. As the first 20-30 years of a revolution play themselves out, there grows a strong divide between those who were part of the revolution and those who were not; there is an economic, social, and regulatory mismatch between the old guard and the new revolution. After an uprising (like the populism we have seen recently) and bubble collapse (Check your crystal ball), regulatory changes typically foster a harmonious future for the technology. Following these changes, we enter the Synergy phase, where technology can fully flourish due to accommodating and clear regulation. This Synergy phase propagates outward across all countries until even the lagging adopters have started the adoption process. At this point the cycle enters into Maturity, waiting for the next big advance to start the whole process over again.

  3. Where are we in the cycle today? We tweeted at Carlota Perez to answer this question AND SHE RESPONDED! My question to Perez was: With the recent wave of massive, transformational innovation like the public cloud providers, and the iPhone, are we still in the Age of Information? These technological waves are often 50-60 years and yet we’ve arguably been in the same age for quite a while. This wave started in 1971, exactly 50 years ago, with Intel and the creation of the microprocessor. Are we in the Frenzy phase with record amounts of investment capital, an enormous demand for early stage companies, and new financial innovations like Affirm’s debt securitizations? Or have we not gotten to the Frenzy phase yet? Is the public cloud or the iPhone the start of a new big bang and we have overlapping revolutions for the first time ever? Obviously identifying the truly breakthrough moments in technology history is way easier after the fact, so maybe we are too new to know what really is a seminal moment. Perez’s answer, though only a few words, fully provides scope to the question. Perez suggests we are still in the installation phase (Irruption and Frenzy) of the new technology and that makes a lot of sense. Sure, internet usage is incredibly high in the US (96%) but not in other large countries. China (the world’s largest country by population) has only 63% using the internet and India (the world’s second-largest country) has only 55% of its population using the internet. Ethiopia, with a population of over 100M people only has 18% using the internet. There is still a lot of runway left for the internet to bloom! In addition, only recently have people been equipped with a powerful computing device that fits in their pocket - and low-priced phones are now making their way to all parts of the world led by firms like Chinese giant Transsion. Added to the fact that we are not fully installed with this revolution, is the rise of populism, a political movement that seeks to mobilize ordinary people who feel disregarded by the elite group. Populism has reared its ugly head across many nations like the US (Donald Trump), UK (Brexit), Brazil (Bolsonaro) and many other countries. The rise of populism is fueled by the growing dichotomy between the elites who have benefitted socially and monetarily from the revolution and those who have not. In the 1890’s, anti-railroad sentiment drove the creation of the populist party. More recently, people have become angry at tech giants (Facebook, Google, Amazon, Apple, Twitter) for unfair labor practices, psychological manipulation, and monopolistic tendencies. The recent movie, the Social Dilemma, which suggests a more humane and regulatory focused approach to social media, speaks to the need for regulation of these massive companies. It is also incredibly ironic to watch a movie about how social media is manipulating its users while streaming a movie that was recommended to me on Netflix, a company that has popularized incessant binge-watching through UX manipulation, not dissimilar to Facebook and Google’s tactics. I expect these companies to get regulated soon -and I hope that once that happens, we enter into the Synergy phase of growth and value accruing to all people.

Yes, I do. I will find the time to reply to you properly. But just quickly, I think installation was prolonged by QE &casino finance; we are at the turning point (the successful rise of populism is a sign) and maybe post-Covid we'll go into synergy.

— Carlota Perez (@CarlotaPrzPerez) January 17, 2021

Business Themes

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  1. The role of Financial Capital in Revolutions. As the new technology revolutions play themselves out, financial capital appears right alongside technology developments, ready to mold the revolution into the phases suggested by Perez. In the irruption phase, as new technology is taking hold, financial capital that had been on the sidelines waiting out the Maturity phase of the previous revolution plows into new company formation and ideas. The financial sector tries to adopt the new technology as soon as possible (we are already seeing this with Quantum computing), so it can then espouse the benefits to everyone it talks to, setting the stage for increasing financing opportunities. Eventually, demand for financing company creation goes crazy, and you enter into a Frenzy phase. During this phase, there is a discrepancy between the value of financial capital and production capital, or money used by companies to create actual products and services. Financial capital believes in unrealistic returns on investment, funding projects that don’t make any sense. Perez notes: “In relation to the canal Mania of the 1790s, disorder and lack of coordination prevailed in investment decisions. Canals were built ‘with different widths and depths and much inefficient routing.’ According to Dan Roberts at the Financial Times, in 2001 it was estimated that only 1 to 2 percent of the fiber optic cable buried under Europe and the United States had so far been turned on.” These Frenzy phases create bubbles and further ingrain regulatory mismatch and political divide. Could we be in one now with deals getting priced at 125x revenue for tiny companies? After the institutional reckoning, the Technology revolution enters the Synergy phase where production capital has really strong returns on investment - the path of technology is somewhat known and real gains are to be made by continuing investment (especially at more reasonable asset prices). Production capital continues to go to good use until the technology revolution fully plays itself out, entering into the Maturity phase.

  2. Casino Finance and Prolonging Bubbles. One point that Perez makes in her tweet, is that this current bubble has been prolonged by QE and casino finance. Quantitative easing is a monetary policy where the federal reserve (US’s central bank) buys government bonds issued by the treasury department to inject money into the financial ecosystem. This money at the federal reserve can purchase bank loans and assets, offering more liquidity to the financial system. This process is used to create low-interest rates, which push individuals and corporations to invest their money because the rate of interest on savings accounts is really really low. Following the financial crisis and more recently COVID-19, the Federal Reserve lowered interest rates and started quantitative easing to help the hurting economy. In Perez’s view, these actions have prolonged the Irruption and Frenzy phases because it forces more money into investment opportunities. On top of quantitative easing, governments have allowed so-called Casino Capitalism - allowing free-market ideals to shape governmental policies (like Reagan’s economic plan). Uninterrupted free markets are in theory economically efficient but can give rise to bad actors - like Enron’s manipulation of California’s energy markets after deregulation. By engaging in continual quantitative easing and deregulation, speculative markets, like collateralized loan obligations during the financial crisis, are allowed to grow. This creates a risk-taking environment that can only end in a frenzy and bubble.

  3. Synergy Phase and Productive Capital Allocation. Capital allocation has been called the most important part of being a great investor and business leader. Think about being the CEO of Coca Cola for a second - you have thousands of competing projects, vying for budget - how do you determine which ones get the most money? In the investing world, capital allocation is measured by conviction. As George Soros’s famous quote goes: “It's not whether you're right or wrong, but how much money you make when you're right and how much you lose when you're wrong.” Clayton Christensen took the ideas of capital allocation and compared them to life investments, coming to the conclusion: “Investments in relationships with friends and family need to be made long, long before you’ll see any sign that they are paying off. If you defer investing your time and energy until you see that you need to, chances are it will already be too late.” Capital and time allocation are underappreciated concepts because they often seem abstract to the everyday humdrum of life. It is interesting to think about capital allocation within Perez’s long-term framework. The obvious approach would be to identify the stage (Irruption, Frenzy, Synergy, Maturity) and make the appropriate time/money decisions - deploy capital into the Irruption phase, pull money out at the height of the Frenzy, buy as many companies as possible at the crash/turning point, hold through most of the Synergy, and sell at Maturity to identify the next Irruption phase. Although that would be fruitful, identifying market bottoms and tops is a fool’s errand. However, according to Perez, the best returns on capital investment typically happen during the Synergy phase, where production capital (money employed by firms through investment in R&D) reigns supreme. During this time, the revolutionary applications of recently frenzied technology finally start to bear fruit. They are typically poised to succeed by an accommodating regulatory and social environment. Unsurprisingly, after the diabolic grifting financiers of the frenzy phase are exposed (see Worldcom, Great Financial Crisis, and Theranos), social pressures on regulators typically force an agreement to fix the loopholes that allowed these manipulators to take advantage of the system. After Enron, the Sarbanes-Oxley act increased disclosure requirements and oversight of auditors. After the GFC, the Dodd-Frank act mandated bank stress tests and introduced financial stability oversight. With the problems of the frenzy phase "fixed” for the time being, the social attitude toward innovation turns positive once again and the returns to production capital start to outweigh financial capital which is now reigned in under the new rules. Suffice to say, we are probably in the Frenzy phase in the technology world, with a dearth of venture opportunities, creating a massive valuation increase for early-stage companies. This will change eventually and as Warren Buffett says: “It’s only when the tide goes out that you learn who’s been swimming naked.” When the bubble does burst, regulation of big technology companies will usher in the best returns period for investors and companies alike.

Dig Deeper

  • The Financial Instability Hypothesis: Capitalist Processes and the Behavior of the Economy

  • Bubbles, Golden Ages, and Tech Revolutions - a Podcast with Carlota Perez

  • Jeff Bezos: The electricity metaphor (2007)

  • Where Does Growth Come From? Clayton Christensen | Talks at Google

  • A Spectral Analysis of World GDP Dynamics: Kondratieff Waves, Kuznets Swings, Juglar and Kitchin Cycles in Global Economic Development, and the 2008–2009 Economic Crisis

tags: Telegraph, Steam Engine, Steel, Transistor, Intel, Railway Mania, Dot-com Boom, Carlota Perez, Affirm, Irruption, Frenzy, Synergy, Maturity, iPhone, Apple, China, Ethiopia, Theranos, Populism, Twitter, Netflix, Warren Buffett, George Soros, Quantum Computing, QE, Reagan, Enron, Clayton Christensen, Worldcom
categories: Non-Fiction
 

June 2020 - Bad Blood by John Carreyrou

This month we review John Carreyrou’s chilling story of the epic meltdown of a company, Theranos. We explore bad decision making, the limits of technology and the importance of strong corporate governance. The saddest thing and the reason Bad Blood hits so hard is that Theranos was a startup that seemed to have everything: a breakthrough blood analyzer, tons of funding, excellent board representation, and a smart, visionary female CEO. But underneath, it was a twisted cult of distrust with an evil leader.

Tech Themes

  1. The limits of technology. Sometimes technology sounds too good to be true. Theranos’ Edison and miniLab blood analyzers were supposed to tell you everything you could ever want to know about your blood. But they didn’t work and never had a shot to work. Stanford professor Phyllis Gardener even told Elizabeth Holmes (Theranos’ founder/CEO) early-on that an early patch-like design of the product would never work: “[Holmes] just kind of blinked and nodded and left. It was just a 19-year-old talking who’d taken one course in microfluidics, and she thought she was gonna make something of it.” It was debunked by almost every scientist as wild fantasy even prior to its commercial use and subsequent fall from grace. There is something so human about wanting to believe there are no limits to technology. In today’s day of fake technology marketing, it’s easy for messaging to slowly take over a company if left unchecked. Think about Snap’s famous declaration, “Snap Inc. is a camera company.” or Dropbox’s S-1 mission statement: “Unleash the world’s creative energy by designing a more enlightened way of working.” These statements ignore what these businesses fundamentally do - advertising and storage. Sometimes there are massive leaps forward, like the transistor, networked computing, and the internet, but even these took many many years to push to fruition. When humans hear a compelling pitch, it is natural to want to remove those limits of technology because the result is so astounding, but we have to remain skeptical or risk another Theranos.

  2. The reality distortion field. Elizabeth Holmes was obsessed with Steve Jobs. Mired in this deep fixation, she also managed to subscribe to one of Jobs’ interesting habits: the reality-distortion field. While we’ve discussed the reality distortion field before in relation to Jobs, Holmes seemed to take it to a new level. Jobs would demand something incredible be done and a lot of times his amazing team could come up with the solution. Holmes also believed this but failed to consider two things: fundamental biology and her team. Biology, at its core, is just not as flexible as the hardware and software that Apple was building. Jobs demanded an excellent product, Holmes demanded a biological impossibility. Beyond searching to enable a biological impossibility, which to be frank, can pop up after years of research (see CRISPR), Holmes operated the Theranos cult as a dictator, ruthlessly seeking out dissenters and punishing or firing them. While Jobs challenged his team repeatedly while being a huge asshole, the team, for the most part, stayed in tact (Phil Schiller, Tony Fadell, Jony Ive, Scott Forstall, and Eddy Cue). There were certainly those who got fired or left, but Holmes active rooting out of non-believers severely limited the chances of success at the company. The additional levels of secrecy were even extreme for a stealth technology startup. Startup founders need to drink the kool-aid sometimes, it comes with being visionary, but getting so drunk on power and image can only lead to personal and business demise as was the case with Theranos.

  3. When startups turn bad. Tons of startups fail, but only a few turn truly malicious. Theranos was one of those few. The company tested people’s blood and gave individuals fake, untested medical results, including indicators of cancer diagnoses! Even when reviewing other major business failures and frauds - Jeff Skilling at Enron and Bernie Madoff’s Ponzi Scheme - nothing compares to Theranos. While it could be argued that Enron and Madoff’s schemes did more and broader financial hurt to society, at least they were never physically endangering individuals. The only comparisons that may be warranted are Boeing and the Fyre Festival. The brainchild of famous clown, Billy McFarland, the Fyrefest certainly endangered people by marooning them on an island with little food. Furthermore, Boeing’s incredibly incoherent internal review process which knowingly led to the production of a faulty airline software system, also endangered people - including two flights that crashed because of its system. Did Elizabeth Holmes set out to build a dangerous device, knowingly defraud investors, and endanger the public? Probably not. It was one decision after another. It was firing CFO Henry Mosley who called out fake projections; it was hiring Boies Schiller to pressure former employees; it was enlisting Sunny Balwani to “run” the company. It was what Clayton Christensen calls marginal thinking - the idea that the incremental bad decision or the incremental costs of doing something frequently outweigh the full costs of doing something. The incremental cost of firing the CFO who wouldn’t make fake numbers was simply easier than facing the difficult reality that the product sucked, and they had pushed through too much investor money to start again. When things turn bad, at startups or other businesses, a trail of marginal decision making can normally be found.

Business Themes

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  1. The Pressure to Succeed. Stress seems to be a part of business, but the pressure can sometimes get too big to handle. Public companies, in particular, face growth targets from wall street analysts and investors. One earnings miss or even a more modest beat than expected can completely derail a stock (See pluralsight and alteryx graphs to the right). Public company CEOs and CFOs can be fired or have compensation withheld for poor stock performance. So when a young hot biotechnology startup wanted to launch a partnership with Walgreens, Dr. J and the Walgreens team were more than ready to fast track the potential partnership. Despite not being allowed to use the bathroom, see the lab or see a partial demo of the product, Walgreens pushed through a deal so that longtime competitor, CVS, wouldn’t get the deal. As then head of the Theranos/Walgreens pilot said, "We can’t not pursue this. We can’t risk a scenario where CVS has a deal with them in six months and it ends up being real.” When the partnership was announced, even the press release sounded oddly formulaic: “Theranos’ proprietary laboratory infrastructure minimizes human error through extensive automation to produce high quality results.” There was no demo. There was no product. There was only pressure at Walgreens to beat CVS and pressure at Theranos to make something from a fake device.

  2. The Importance of Corporate Governance. Corporate Governance has historically rarely been discussed outside of academic settings but has come into sharper focus over the past few years. Some have recently tried to bring some of the prominent corporate governance issues such as member compensation and option grants for executives to the forefront. Warren Buffet even commented on boards in his 2019 annual shareholder letter: “Director compensation has now soared to a level that inevitably makes pay a subconscious factor affecting the behavior of many non-wealthy members. Think, for a moment, of the director earning $250,000-300,000 for board meetings consuming a pleasant couple of days six or so times a year. And job security now? It’s fabulous. Board members may get politely ignored, but they seldom get fired. Instead, generous age limits – usually 70 or higher – act as the standard method for the genteel ejection of directors.” Boards are meant to help guide the company through strategic challenges, ensure the business is focused on the right things, and evaluate the CEO. Theranos’ Board of Directors was a laughable hodgepodge of old white men: George P. Shultz (former U.S. Secretary of State), William Perry (former U.S. Secretary of Defense), Henry Kissinger (former U.S. Secretary of State), Sam Nunn (former U.S. Senator), Bill Frist (former U.S. Senator and heart-transplant surgeon), Gary Roughead (Admiral, USN, retired), James Mattis (General, USMC), Richard Kovacevich (former Wells Fargo Chairman and CEO), and Riley Bechtel. The average age of the directors in 2012 was ~72 years old and few of these men could offer real strategic guidance in pursuing novel biotechnology. On top of that, as Carreyrou points out, “In December 2013, [Holmes] forced through a resolution that assigned one hundred votes to every share she owned, giving her 99.7% of the voting rights.” George Shultz even said later in a deposition, “We never took any votes at Theranos. It was pointless. Elizabeth was going to decide whatever she decided.” The episode brings more clarity to those CEOs and companies who hide behind their Board of Directors, who promise governance for investors, but rarely deliver on anything beyond pandering to the CEO’s whims. In another ludicrous comparison, Apple and Steve Jobs specifically have also been accused of shoddy corporate governance. In 2007, Apple famously backdated Jobs options, allowing him to make an instant profit, and did not even bother to report that it had issued the options. The best companies are not immune, and investors and employees should be aware of the qualifications and monetary interests of a company’s board members.

  3. Search and Destroy. Only the Paranoid Survive, right? Wrong. There is such thing as too much paranoia. When you combine that paranoia with a manipulative persona, you get Elizabeth Holmes. It’s hard to believe that any startup or founder would need the level of security and secrecy that dominated the culture at Theranos. The list of weird security and legal gray areas include: personal security for Holmes, laboratory developed tests (instead of FDA approved tests), copious and vigorously enforced NDAs, siloed teams with no communication, and false representation in the media. Organizations are often secret and many startups operate in stealth to not give away details to competitors. Some larger companies launch new divisions in separate locations from their office, like Amazon a9. The Company hired private investigators (through its powerful law firm Boies Schiller) to threaten and track former employees including Erika Chung and Tyler Schulz. Tyler Schulz, grandson of board member George Schulz, was one of the key informants to author John Carreyrou. After he accused Elizabeth and Sunny of lying and potentially harming patients, he resigned and tried to convince his grandfather that it was all a sham. His grandfather agreed to speak with him one-on-one and at the end of the conversation surprised Tyler with two attorneys from Boies Schiller who almost forced Tyler to sign a confidentiality agreement. Tyler refused, which eventually led to the publication of Carreyrou’s first article. As early board member Avie Tevanian put it, “I had seen so many things that were bad go on. I would never expect anyone would behave the way that she behaved as a CEO. And believe me, I worked for Steve Jobs. I saw some crazy things. But Elizabeth took it to a new level.” Again, sadly, while Theranos may be the pinnacle of secrecy, paranoia and threatening behavior, eBay recently fired six employees for threatening online reviewers. On top of sending live spiders to the reviewers’ household, eBay team members would knock on their doors day or night, to scare the reviewers. How could these employees think this was ok? How could Elizabeth partake in this threatening and manipulative behavior? As Organizational Behavior professor Roderick Kramer reminds us: “‘Reality’ is not a fixed entity but rather a tissue of facts, impressions, and interpretations that can be manipulated and perverted by clever and devious businesses and governments.” Theranos’ fake Edison tests are reminiscent of Enron’s fake trading floor, where 70 low level employees once pretended to be busy to impress wall street analysts. Paranoia and secrecy are powerful weapons when left unchecked, and clearly Theranos' wielded those weapons to the fullest extent.

Dig Deeper

  • HBO Documentary: “The Inventor: Out for Blood in Silicon Valley” has many interviews and deep analysis on Theranos

  • When Paranoia Makes Sense by Organizational Behavior Professor Roderick Kramer

  • Theranos criminal trial set to begin March 9, 2021

  • Ex-Theranos CEO Elizabeth Holmes says 'I don't know' 600-plus times in never-before-broadcast deposition tapes

  • Holmes’ famous Mad Money Interview: “First they think you're crazy, then they fight you, and then all of a sudden you change the world.”

  • Theranos’ still active Twitter account

tags: Theranos, Elizabeth Holmes, Sunny Balwani, Apple, Steve Jobs, Snap, Dropbox, Stanford, Reality distortion field, Fyre Festival, Boeing, Billy McFarland, Jeff Skilling, Enron, Boies Schiller, Clayton Christensen, Walgreens, CVS, Warren Buffett, George Schulz, batch2
categories: Non-Fiction
 

April 2020 - Good To Great by Jim Collins

Collins’ book attempts to answer the question - Why do good companies continue to be good companies? His analysis across several different industries provides meaningful insights into strong management and strategic practices.

Tech Themes

  1. Packard’s Law. We’ve discussed Packard’s law before when analyzing the troubling acquisition history of AOL-Time Warner and Yahoo. As a reminder, Packard’s law states: “No company can consistently grow revenues faster than its ability to get enough of the right people to implement that growth and still become a great company. [And] If a company consistently grows revenue faster than its ability to get enough of the right people to implement that growth, it will not simply stagnate; it will fall.” Given Good To Great is a management focused book, I wanted to explore an example of this law manifesting itself in a recent management dilemma. Look no further than ride-sharing giant, Uber. Uber’s culture and management problems have been highly publicized. Susan Fowler’s famous blog post kicked off a series of blows that would ultimately lead to a board dispute, the departure of its CEO, and a full-on criminal investigation. Uber’s problems as a company, however, can be traced to its insistence to be the only ride-sharing service throughout the world. Uber launched several incredibly unprofitable ventures, not only a price-war with its local competitor Lyft, but also a concerted effort to get into China, India, and other locations that ultimately proved incredibly unprofitable. Uber tried to be all things transportation to every location in the world, an over-indulgence that led to the Company raising a casual $20B prior to going public. Dara Khosrowshahi, Uber’s replacement for Travis Kalanick, has concertedly sold off several business lines and shuttered other unprofitable ventures to regain financial control of this formerly money burning “logistics” pit. This unwinding has clearly benefited the business, but also limited growth, prompting the stock to drop significantly from IPO price. Dara is no stranger to facing travel challenges, he architected the spin-out of Expedia with Barry Diller, right before 9/11. Only time will tell if he can refocus the Company as it looks to run profitably. Uber pushed too far in unprofitable locations, and ran head on into Packard’s law, now having to pay the price for its brash push into unprofitable markets.

  2. Technology Accelerators. In Collins’ Good to Great framework (pictured below), technology accelerators act as a catalyst to momentum built up from disciplined people and disciplined thought. By adapting a “Pause, think, crawl, walk, run” approach to technology, meaning a slow and thoughtful transition to new technologies, companies can establish best practices for the long-term, instead of short term gains from technology faux-feature marketing. Technology faux-feature marketing, which is decoupled from actual technology has become increasingly popular in the past few years, whereby companies adopt a marketing position that is actually complete separate from their technological sophistication. Look no further than the blockchain / crypto faux-feature marketing around 2018, when Long Island iced-tea changed its name to Long Island Blockchain, which is reminiscent of companies adding “.com” to their name in the early 2000’s. Collins makes several important distinctions about technology accelerators: technology should only be a focus if it fits into a company’s hedgehog concept, technology accelerators cannot make up for poor people choices, and technology is never a primary root cause of either greatness or decline. The first two axioms make sense, just think of how many failed, custom software projects have begun and never finished; there is literally an entire wikipedia page dedicated to exactly that. The government has also reportedly been a famous dabbler in homegrown, highly customized technology. As Collins notes, technology accelerators cannot make up for bad people choices, an aspect of venture capital that is overlooked by so many. Enron is a great example of an interesting idea turned sour by terrible leadership. Beyond the accounting scandals that are discussed frequently, the culture was utterly toxic, with employees subjected to a “Performance Review Committee” whereby they were rated on a scale of 1-5 by their peers. Employees rated a 5 were fired, which meant roughly 15% of the workforce turned over every year. The New York Times reckoned Enron is still viewed as a trailblazer for the way it combined technology and energy services, but it clearly suffered from terrible leadership that even great technology couldn’t surmount. Collins’ most controversial point is arguably that technology cannot cause greatness or decline. Some would argue that technology is the primary cause of greatness for some companies like Amazon, Apple, Google, and Microsoft. The “it was just a better search engine” argument abounds discussions of early internet search engines. I think what Collins’ is getting at is that technology is malleable and can be built several different ways. Zoom and Cloudflare are great examples of this. As we’ve discussed, Zoom started over 100 years after the idea for video calling was first conceived, and several years after Cisco had purchased Webex, which begs the question, is technology the cause of greatness for Zoom? No! Zoom’s ultimate success the elegance of its simple video chat, something which had been locked up in corporate feature complexity for years. Cloudflare presents another great example. CDN businesses had existed for years when Cloudflare launched, and Cloudflare famously embedded security within the CDN, building on a trend which Akamai tried to address via M&A. Was technology the cause of greatness for Cloudflare? No! It’s way cheaper and easier to use than Akamai. Its cost structure enabled it to compete for customers that would be unprofitable to Akamai, a classic example of a sustaining technology innovation, Clayton Christensen’s Innovator’s Dilemma. This is not to say these are not technologically sophisticated companies, Zoom’s cloud ops team has kept an amazing service running 24/7 despite a massive increase in users, and Cloudflare’s Workers technology is probably the best bet to disrupt the traditional cloud providers today. But to place technology as the sole cause for greatness would be understating the companies achievements in several other areas.

  3. Build up, Breakthrough Flywheel. Jeff Bezos loves this book. Its listed in the continued reading section of prior TBOTM, The Everything Store. The build up, breakthrough flywheel is the culmination of disciplined people, disciplined thought and disciplined action. Collins’ points out that several great companies frequently appear like overnight successes; all of a sudden, the Company has created something great. But that’s rarely the case. Amazon is a great example of this; it had several detractors in the early days, and was dismissed as simply an online bookseller. Little did the world know that Jeff Bezos had ideas to pursue every product line and slowly launched one after the other in a concerted fashion. In addition, what is a better technology accelerator than AWS! AWS resulted from an internal problem of scaling compute fast enough to meet growing consumer demand for their online products. The company’s tech helped it scale so well that they thought, “Hey! Other companies would probably like this!” Apple is another classic example of a build-up, breakthrough flywheel. The Company had a massive success with the iPod, it was 40% of revenues in 2007. But what did it do? It cannablized itself and pursued the iPhone, with several different teams within the company pursuing it individually. Not only that, it created a terrible first version of an Apple phone with the Rokr, realizing that design was massively important to the phone’s success. The phone’s technology is taken for granted today, but at the time the touch screen was simply magical!

Business Themes

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  1. Level 5 Leader. The first part and probably the most important part of the buildup, breakthrough, flywheel is disciplined people. One aspect of Good to Great that inspired Collins’ other book Built to Last, is the idea that leadership, people, and culture determine the long-term future of a business, even after current leadership has moved on from the business. To set an organization up for long-term success, executives need to display level five leadership, which is a mix of personal humility and professional will. Collins’ leans in on Lee Iacocca as an example of a poor leader, who focused more on personal celebrity and left Chrysler to fail, when he departed. Level 5 leadership has something that you don’t frequently see in technology business leaders, humility. The technology industry seems littered with far more Larry Ellison and Elon Musk’s than any other industry, or maybe its just that tech CEOs tend to shout the loudest from their pedestals. One CEO that has done a great job of representing level five leadership is Shantanu Narayen, who took the reigns of Adobe in December 2007, right on the cusp of the financial crisis. Narayen, who’s been described as more of a doer than a talker, has dramatically changed Adobe’s revenue model, moving the business from a single sale license software business focused on lower ACV numbers, to an enterprise focused SaaS business. This march has been slow and pragmatic but the business has done incredibly well, 10xing since he took over. Adobe CFO, Mark Garrett, summarized it best in a 2015 McKinsey interview: “We instituted open dialogue with employees—here’s what we’re going through, here’s what it might look like—and we encouraged debate. Not everyone stayed, but those who did were committed to the cloud model.”

  2. Hedgehog Concept. The Hedgehog concept (in the picture wheel to the right) is the overlap of three questions: What are you passionate about?, What are you the best in the world at?, and What drives your economic engine? This overlap is the conclusion of Collins’ memo to Confront the Brutal Facts, something that Ben Horowitz emphasizes in March’s TBOTM. Once teams have dug into their business, they should come up with a simple way to center their focus. When companies reach outside their hedgehog concept, they get hurt. The first question, about organizational passion, manifests itself in mission and value statements. The best in the world question manifests itself through value network exercises, SWOT analyses and competitive analyses. The economic engine is typically shown as a single metric to define success in the organization. As an example, let’s walk through an example with a less well-known SaaS company: Avalara. Avalara is a provider of tax compliance software for SMBs and enterprises, allowing those businesses to outsource complex and changing tax rules to software that integrates with financial management systems to provide an accurate view of corporate taxes. Avalara’s hedgehog concept is right on their website: “We live and breathe tax compliance so you don't have to.” Its simple and effective. The also list a slightly different version in their 10-K, “Avalara’s motto is ‘Tax compliance done right.’” Avalara is the best at tax compliance software, and that is their passion; they “live and breath” tax compliance software. What drives Avalara’s economic engine? They list two metrics right at the top of their SEC filings, number of core customers and net revenue retention. Core customers are customers who have been billed more than $3,000 in the last twelve months. The growth in core customers allows Avalara to understand their base of revenue. Tax compliance software is likely low churn because filing taxes is such an onerous process, and most people don’t have the expertise to do it for their corporate taxes. They will however suffer from some tax seasonality and some customers may churn and come back after the tax period has ended for a given year. Total billings allows Avalara to account for this possibility. Avalara’s core customers have grown 32% in the last twelve months, meaning its revenue should be following a similar trajectory. Net retention allows the company to understand how customer purchasing behavior changes over time and at 113% net retention, Avalara’s overall base is buying more software from Avalara than is churning, which is a positive trend for the company. What is the company the best in the world at? Tax compliance software for SMBs. Avalara views their core customer as greater than $3,000 of trailing twelve months revenue, which means they are targeting small customers. The Company’s integrations also speak to this - Shopify, Magento, NetSuite, and Stripe are all focused on SMB and mid-market customers. Notice that neither SAP nor Oracle ERP is in that list of integrations, which are the financial management software providers that target large enterprises. This means Avalara has set up its product and cost structure to ensure long-term profitability in the SMB segment; the enterprise segment is on the horizon, but today they are focused on SMBs.

  3. Culture of Discipline. Collins describes a culture of discipline as an ability of managers to have open and honest, often confrontational conversation. The culture of discipline has to fit within a culture of freedom, allowing individuals to feel responsible for their division of the business. This culture of discipline is one of the first things to break down when a CEO leaves. Collins points on this issue with Lee Iaccoca, the former CEO of Chrysler. Lee built an intense culture of corporate favoritism, which completely unraveled after he left the business. This is also the focus of Collins’ other book, Built to Last. Companies don’t die overnight, yet it seems that way when problems begin to abound company-wide. We’ve analyzed HP’s 20 year downfall and a similar story can be shown with IBM. In 1993, IBM elected Lou Gerstner as CEO of the company. Gerstner was an outsider to technology businesses, having previously led the highly controversial RJR Nabisco, after KKR completed its buyout in 1989. He has also been credited with enacting wholesale changes to the company’s culture during his tenure. Despite the stock price increasing significantly over Gerstner’s tenure, the business lost significant market share to Microsoft, Apple and Dell. Gerstner was also the first IBM CEO to make significant income, having personally been paid hundreds of millions over his tenure. Following Gerstner, IBM elected insider Sam Palmisano to lead the Company. Sam pushed IBM into several new business lines, acquired 25 software companies, and famously sold off IBM’s PC division, which turned out to be an excellent strategic decision as PC sales and margins declined over the following ten years. Interestingly, Sam’s goal was to “leave [IBM] better than when I got there.” Sam presided over a strong run up in the stock, but yet again, severely missed the broad strategic shift toward public cloud. In 2012, Ginni Rometty was elected as new CEO. Ginni had championed IBM’s large purchase of PwC’s technology consulting business, turning IBM more into a full service organization than a technology company. Palmisano has an interesting quote in an interview with a wharton business school professor where he discusses IBM’s strategy: “The thing I learned about Lou is that other than his phenomenal analytical capability, which is almost unmatched, Lou always had the ability to put the market or the client first. So the analysis always started from the outside in. You could say that goes back to connecting with the marketplace or the customer, but the point of it was to get the company and the analysis focused on outside in, not inside out. I think when you miss these shifts, you’re inside out. If you’re outside in, you don’t miss the shifts. They’re going to hit you. Now acting on them is a different characteristic. But you can’t miss the shift if you’re outside in. If you’re inside out, it’s easy to delude yourself. So he taught me the importance of always taking the view of outside in.” Palmisano’s period of leadership introduced a myriad of organizational changes, 110+ acquisitions, and a centralization of IBM processes globally. Ginni learned from Sam that acquisitions were key toward growth, but IBM was buying into markets they didn’t fully understand, and when Ginni layered on 25 new acquisitions in her first two years, the Company had to shift from an outside-in perspective to an inside-out perspective. The way IBM had historically handled the outside-in perspective, to recognize shifts and get ahead of them, was through acquisition. But when the acquisitions occured at such a rapid pace, and in new markets, the organization got bogged down in a process of digestion. Furthermore, the centralization of processes and acquired businesses is the exact opposite of what Clayton Christensen recommends when pursuing disruptive technology. This makes it obvious why IBM was so late to the cloud game. This was a mainframe and services company, that had acquired hundreds of software businesses they didn’t really understand. Instead of building on these software platforms, they wasted years trying to put them all together into a digestible package for their customers. IBM launched their public cloud offering in June 2014, a full seven years after Microsoft, Amazon, and Google launched their services, despite providing the underlying databases and computing power for all of their enterprise customers. Gerstner established the high-pay, glamorous CEO role at IBM, which Palmisano and Ginni stepped into, with corporate jets and great expense policies. The company favored increasing revenues and profits (as a result of acquisitions) over the recognition and focus on a strategic market shift, which led to a downfall in the stock price and a declining mindshare in enterprises. Collins’ understands the importance of long term cultural leadership. “Does Palmisano think he could have done anything differently to set IBM up for success once he left? Not really. What has happened since falls to a new coach, a new team, he says.”

Dig Deeper

  • Level 5 Leadership from Darwin Smith at Kimberly Clark

  • From Good to Great … to Below Average by Steven Levitt - Unpacking underperformance from some of the companies Collins’ studied

  • The Challenges faced by new CEO Arvind Krishna

  • Overview of Cloudflare Workers

  • The Opposite of the Buildup, Breakthrough, Flywheel - the Doom Loop

tags: IBM, Apple, Microsoft, Packard's Law, HP, Uber, Barry Diller, Enron, Zoom, Cloudflare, Innovator's Dilemma, Clayton Christensen, Jeff Bezos, Amazon, Larry Ellison, Adobe, Shantanu Narayen, Avalara, Hedgehog Concept, batch2
categories: Non-Fiction
 

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