Category Archives: Must watch or read

The Return of Dark Humor in Russia

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When I noticed the article by French newspaper Le Monde En Russie, le retour de l’humour noir soviétique, I immediately remembered the great and funny book I had been offered in 2018. I probably should have also been concerned with this poisoned gift, ah ah ah!

I’m not going to praise it again but let you (re?)-discover the articles at the time
– Why was I offered that book? Humor and bureaucracy in June 2018.
– Humor and bureaucracy (part II) in October 2018.
I was not aware of the Wikipedia page on the topic, which also deserves to be read: Anecdotes.

I will conclude on this April 1st that apparently Russia has decided to give Leo Tolstoy’s War and Peace the new name of “Special Operation and High Treason”.

Mathematica by David Bessis – about logic and intuition

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“Mathematicians are the humans who advance human understanding of mathematics.” William P. Thurston

I had already mentioned David Bessis’ book, Mathematica, when the author appeared on France Culture. He had spoken of Grothendieck, but said above all that between logic and intuition, he gave more importance to the second to do mathematics. Go back to the article to find the interview link. I had the chance to read his very beautiful book in the recent days and the author is convincing. He explains quite well the failure of the teaching of mathematics which gives too much importance to the first.

No doubt it will be difficult to change the minds of skeptics, but the argument that there is no special talent or gift for doing mathematics but above all curiosity and perseverance, as for any activity that requires learning, is well illustrated in his book.

It is not a question of tricks that are used too often in the teaching of mathematics, which can make people less fond of the discipline. In the article on the Beauty of Mathematics, I wrongly and a little too much used this impression of magic. It is more a question of deep understanding of things, in the sense that we end up seeing them. The downside of math is that while music is heard, or a sport is physically visible, math is mostly made up of mental images.

He also talks (as I must have done if you follow the #mathematics hashtag) about proofs of the sum of the first natural numbers and Bessis is luminous when he explains that Gauss’ clever proof probably does not really allow to “understand” the solution:

while there are more intuitive approaches such as the use of triangles or distance from the mean. Read his pages 169 to 181, it is easy to understand why Thurston as a child first gave 5000 as an answer to the sum of the first 100 integers, then corrected himself to give the exact answer. The average of a random drawing of numbers between 1 and 100 is also not quite 50… (unlike that between 0 and 100) and there is a link between the two subjects.

I really liked the descriptions and portraits that Bessis makes of Descartes, Thurston, Grothendieck and the less famous Ben Underwood. Or the magnificent passages on Pierre Deligne and Jean-Pierre Serre. I hope to give you the desire to discover them.

It is a beautiful book to offer to anyone who wishes to discover or rediscover the beauty of mathematics. And perhaps more importantly, as the subtitle of the book indicates, an adventure in the heart of ourselves, Bessis shows that all explorations are above all a choice to overcome one’s fears, to accept the possibility of mistakes, and the possibility of a path to more self-confidence. A paradox is an advice that comes up often in his book: “You should never read math books”. Except this one! Superb!

The Power Law (part 5) – Sequoia Capital

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Sometimes I publish posts which may be unreadable, they might be more for myself, not for other readers. In a way, this blog is my second memory… so I am not sure this post is worth reading…

There have been two major venture capital firms in history. So important, I have created hashtags for them: Sequoia and Kleiner Perkins. So not surprisingly Mallaby covers them both in his great book, but in different manners. According to him, Kleiner Perkins (KP) has lost its leadership. Both Sequoia and KP were #1 and #2 from 1980 to 2005, but since, Sequoia has kept its ranking and KP is not even in the top 10 partnerships (see page 413). KP is covered in the last part of Chapter 11, with subtitle The decline of Kleiner Perkins. The full chapter 13 is entitled Sequoia’s strength in numbers.

Mallaby has a lot of convincing arguments, from the team strategy to the diversification of the firm activity: Sequoia has now large growth funds, a hedge fund, even an endowment, and a presence overseas in Israel, China, India and even recently in Europe. And Sequoia’s performance looks impressive: Taking all its U.S. venture investments between 2000 and 2014, the partnership generated an extraordinary multiple of 11.5x “net” – that is, after subtracting management fees and its share of the investment profits. In contrast the weighted average for venture funds in this period was less than 2x net. (Data from Burgiss). Nor was Sequoia’s achievement driven by a couple of outlandish flukes: if you took  the top three performers out of the sample, Sequoia U.S. venture multiple still weighed in at a formidable 6.1x net. Deploying the capital it raised in 2003, 2007 and 2010, Sequoia placed a grand total of 155 U.S. venture bets. Of these a remarkable 20 generated a net multiple of more than 10x and a profit of least $100M. (Proving it was not afraid of risks, Sequoia lost money on nearly half of these 155 venture bets.) The consistency across time, sectors, and investing was striking. “We’ve hired more than 200 outside money managers since I came here in 1989”, marveled the investment chief at a major university endowment. “Sequoia has been our number one performer by far”. [Page 320]

So I had a look at my own data. Here what I found about their fund history.

I also looked at my cap. table and found where Sequoia was an investor. When the data was available, I looked at how much the firm invested and what was the stake value at the IPO or acquisition. Indeed impressive.

PS (May 3rd, 2022): I just read a very interesting account of Mallaby’s book by Bill Janeway : The Forgotten Origins of Silicon Valley. Janeway likes the book and adds interesting criticism. Two points are not new, that is
– the role of government would be underestimated by Mallaby,
– East Coast VCs and the field of biotechnology are not analyzed well enough.
But a third point was newer to me: technology became open in the 70s and 80s (the PC, the operating systems, the networks including the internet) and this created huge opportunities for new companies. I have never been fully convinced by the first two points, motsly because the funding of research brings no guarantee to great innovations. But the third point is more intriging.

The Power Law and Venture Capital (part 4), China’s rise

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In the part 1 of my post about The Power Law, I had embedded my own visual history of venture capital. There was a missing element which is China’s rise, that Mallaby adresses in his 27-page Chapter 10. Before 2010, venture capital in China was behind Europe, but today it’s challenging the USA:


Source: Mallaby’s The Power Law, appendix, page 413.

Mallaby convincingly explains that it developed not with the support of, but bypassing the Chinese government and surprisingly thanks to a combination US venture capitalists and Chinese people who had been in close contact to the American entrepreneurial culture. I knew nobody from the people below but one entrepreneur (you can check their names at the end of the post).

I had heard about the BATX which are nowadays compared to the GAFA and I loved Jack Ma’s video which could have been given by many Silicon Valley entrepreneurs. Here it is again:

I had a few Chinese startups in my 800+ cap tables and they are mostly internet and ecommerce companies. Mallaby seems to have similar views. I extracted them all (see below) and here are a few interesting characteristics:

Not only are they mostly internet/ecommerce companies, but they are recent, went public quickly, their founders are younger than average, keep more equity than others, and they have many more founding CEOs than the average. Interesting…

Equity List China

In the image above are the:
Funders: Gary Rieschel (Qiming), Neil Shen (Sequoia China), JP Gan, Hans Tung (ex-Qiming), Kathy Xu (Capital Today), Syaru Shirley Lin (ex-Goldman Sachs)
Founders: Jack Ma, Richard Liu, Wang Xing

The Power Law and Venture Capital (part 3), planners and improvisers, betting big or diverse

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Mallaby is a marvelous storyteller – thanks to his team probably as he mentions at least 15 collaborators in his acknowledgments. This is part 3 of my posts about the Power Law, following part 2 and part 1.

You will discover so many figures of venture capital and entrepreneurship that it would be impossible to mention them all. But here are illustrations. If you do not know them, chek their names at the end.

What is really impressive in Mallaby’s book, is that whatever the strategy of the investors – for example being improvisers or planners, betting big or small in a small or large number of opportunities, replacing or mentoring the founders, the power law prevails.

As a side and unimportant comment, Mallaby is great at story-telling, he is less good with numbers. But valuations of startups can be tricky when you mix pre-money and post-money, dilution and stock options. Page 155-6 : “The founders tentatively suggested a valuation of $40million up from just $3million when Sequoia had invested eight months earlier. […] Son duly led Yahoo’s Series B financing providing more than half of the $5million […] In a bid without precedent in the history of Silicon Valley, he proposed to invest fully $100million in Yahoo. In return he wanted an additional 30 percent of the company. Son’s bid implied that Yahoo’s value had shot up eight times since his investment four months earlier.” I am not sure all this is correct. I let you check. Or page 147 : “Rather than merely doubling in power every two years, as semiconductor did, the value of a network would rise as the square of the number of users. Progress would thus be quadratic rather than merely exponential; something that keeps on squaring will soon grow a lot faster than something that keeps on doubling.” As Etienne Klein has often said, the “exponential function” is heavily mistreated in the media and now abusively assimilated to a function whose only characteristic is to grow very quickly…

The founders:
Nolan Bushnell, Jimmy Treybig, Bob Swanson, Sandy Lerner, Bob Metcalfe, Mitch Kapor, Jerry Kaplan,
Rick Adams, Marc Andreessen, Jerry Yang, Pierre Omidyar, Larry Page, Mark Zuckerberg, Max Levchin, Elon Musk.

The funders:
Don Valentine, Mike Moritz (Sequoia), Tom Perkins, John Doerr (KP), Jim Swartz, Arthur Patterson (Accel),
Bill Draper, Masayoshi Son (Softbank), Bruce Dunlevie, Bob Kagle (Benchmark), Peter Thiel, Paul Graham.

The Power Law and Venture Capital (part 2) Fairchild and Rock

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Following my previous post about the book The Power Law and Venture Capital, I can only confirm it is a fascinating book about the history of Venture Capital. I have now read chapters 2 & 3 which covers the sixties mainly through Arthur Rock and his funding of Fairchild and the Traitorous Eight.

About Fairchild

Coyle pulled out crisp dollar bills and proposed that every man present should sign each one. The bills would be “their contracts with each other,” Coyle said. It was a premonition of the trust-based contracts – seemingly informal, yet founded, literally, on money – that were to mark the Valley in the years to come. [Page 35]


Source : https://www.sfgate.com/business/article/Tracing-Silicon-Valley-s-roots-2520298.php

Each of the 8 founders put $500 for 100 shares ($500 was two to three weeks of salary), Hayden Stone (through Rock and Coyle) 225 shares at the same price per share and 300 reserved for future managers. Fairchild put $1.4M as a loan to be compared to the initial $5,125, with an option to buy all the stock for $3M. It happened making the founders rich but not as rich as if there had not been that option. Fairchild had made a profit of $2M at the time of acquisition and price to earnings were easily 20x to 30x. SO I had to do my usual cap. table from foundation to exit. Here it is:

What VCs such as Rock looked for

I just scanned pages 48-49 and this is very similar to what you could find in slideshare slides in the previous post.

“Some winning venture capitalists claim to look almost exclusively at the backgrounds and personalities of the founders; others focus mostly on the technology involved and the market opportunity the venture addresses” from The New Venturers, Wilson (1984)

“They look for outstanding people without worrying too much about the details of product and marketing strategy. The right people have integrity, motivation, market orientation, technical capability, accounting capability and leadership. The most important is motivation.
Rock’s style was supportive of entrepreneurs with an implacable will.” from Wilson (1984)

In 7 years, the Davis & Rock $3.4M fund would return $77M or a 22.6x multiple… [Page 50].

If you do not fully understand what I talk about read Mallaby! And of course watch Something Ventured.

The Power Law and Venture Capital – according to Sebastian Mallaby

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Sebastian Mallaby has just published a new book about Venture Capital which looks very interesting. I have already explained here what the Power Law is and will not do it again. But I will quote Mallaby as I do when I read good books.

About the term : “Venture capital” had also cropped up in 1938 when Lammont du Pont, the president of E. I. du Pont de Nemours & Company spoke before the US Senate Committee to Investigate Unemployment and Relief. “By Venture Capital I mean that capital which will go into an enterprise and not expect an immediate return, but will take its chances on getting an ultimate return” du Pont clarified. […] but this phrase making did not stick and the term was not widely used until at least the 60s. [Note 28 page 418]

And what about this : “All progress depends upon the unreasonable man, the creatively maladjusted. Most people think improbable ideas are unimportant, but the only thing that’s important is something that’s improbable”. From Vinod Khosla [Page 3]

About the return of VC. The normal distribution applies to size, weight of individuals, traditional stock markets, but the power law applies to the exceptional – wealth of individuals when not really regulated, as well as venture capital: Like the 7-foot NBA star, unexpected large price jumps are rare enough and moderate enough that they do not affect the average. The S&P500 budged less than 3% in 7763 days out of 7817 between 1985 and 2015, that is 98% of the time. […] Now consider venture capital. Hosley Bridge is an investment company which had stakes in venture funds that backed 7,000 startups between 1985 and 2014. A small subset of these deals, accounting for just 5% of the capital deployed generated fully 60 percent of all the Hosley Bridge returns. [Page 8]

Examples of Khosla’s deals [Page 10]

Startup Investment Return Multiple
Juniper Networks $5M $7B 1,400
Siara A few $M $1,5B >150
Cerent $8M Bought for $7B

About predictions: The revolutions that will matter – the big disruptions that create wealth for inventors [and investors! HL note] and anxiety for workers, or that scramble the geopolitical balance and alter human relations – cannot be predicted based on extrapolations of past data, precisely because such revolutions are so thoroughly disruptive. Rather, they will emerge as a result of forces that are too complex to forecast – from the primordial soup of tinkerers and hackers and hubristic dreamers – and all you can know is that the world in ten years will be excitingly different. […] the future can be discovered by means of iterative, venture-backed experiments. It cannot be predicted. [Page 11] “I always tell my CEOs, don’t plan. Keep testing the assumptions and iterating” Khosla again. [Note 32, page 416] All this of course reminds me also about the Black Swan.

Why is venture capital so different from other sources of finance? Most financiers allocate scarce capital based on quantitative analysis. venture capitalists meet people, charm people, and seldom bother with spreadsheets [*]. Most financiers value companies by projecting their cash flows. Venture capitalists frequently back startups before they have cash flows to analyze. Other financiers trade millions of dollars of paper assets in the blink of an eye. Venture capitalists take relatively small stakes in real companies and hold them. Most fundamentally, other financiers extrapolate trends from the past, disregarding the risk of extreme “tail” events. Venture capitalists look for radical departures from the past. Tail events are all they care about. [Page 14]

[*] Academic survey work confirms that one in five venture capitalists do not even attempt to forecast cash flows when making an investment decision. [Note 36 page 416]

All this is from the introductory chapter only and I liked it very much. Maybe more soon but in the mean time, you can always have a look at my visual history of venture capital.

Larry Page and Peter Thiel – 2 (different?) Icons of Silicon Valley

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I just read two long and interesting articles about these important personalities of Silicon Valley. The one about Larry Page was mentioned to me by a colleague (thanks François!) through its French translation. It is rather old (2014) but still very interesting and relevant : The Untold Story of Larry Page’s Incredible Comeback (Nicholas Carlson – April 24, 2014).

The one about Peter Thiel was recently published by the New Yorker, I find it a little less interesting as there is not much new, but still very clear as usual with this great magazine : What Is It About Peter Thiel? The billionaire venture capitalist has fans and followers. What are they looking for? (Anna Wiener – October 27, 2021)

What do they have in common, I am not sure: they have very different personalities, one is rather secretive, the other very visible. They certainly have in common the belief that technology and entrepreneurship can (still?) change the world, but Thiel puts this as a political statement and I believe he is wrong. Politics are about collective decisions (I hope), wheras entrepreneurship is more individual decisions (I think) even if is does include cultural (therefore collective) features.

Page was born in 1973 in Michigan and Thiel in 1967 in Germany, they both studied at Stanford University, Thiel in the law school, Page in the engineering school. They apparently both funded the Singularity university, something I do not really understand except the link to their extreme belief in technology saving the world…

I have written so much about them, you may want to check that through the tags #thiel or #google. In the article about Larry Page, there are very interesting moments, for example his “lessons” about management:
– Don’t delegate: Do everything you can yourself to make things go faster.
– Don’t get in the way if you’re not adding value. Let the people actually doing the work talk to each other while you go do something else.
– Don’t be a bureaucrat.
– Ideas are more important than age. Just because someone is junior doesn’t mean they don’t deserve respect and cooperation.
– The worst thing you can do is stop someone from doing something by saying, “No. Period.” If you say no, you have to help them find a better way to get it done.

It’s really worth reading these two articles and see again how much diversity there is (or not) in Silicon Valley. The last sentences of the articles about Page says: Instead of ending his life destitute and ignored, [contrary to his icon, Nikola Tesla] Page, still just 41, will spend the final half of his life pouring billions of dollars and countless hours into his wildest visions. “Anything you can imagine probably is doable,” Page told Google investors in 2012. “You just have to imagine it and work on it.”

Whereas the one about Thiel ends in a little more mysterious but enlightening way: Of course, when it comes to Thiel, what registers as mystique may simply be practiced opacity. Strauss, the conservative philosopher, proposed that academics and writers often advance their ideas through intentionally obscure prose — a technique in which “the truth about all crucial things is presented exclusively between the lines,” such that it is legible “not to all readers, but to trustworthy and intelligent readers only.” In interviews, Thiel can come across as “Straussian” — opaque, enigmatic, even oracular. He is a master of conversational redirection, and his arguments can be indeterminate. Religious references and allusions lend his ideas about business or globalization a sense of mysticism, as though the truth of his own speech is lurking just around the corner. Online, clues proliferate — about Thiel’s ideas and much else. Sleuths hunt for meaning, and search for signs indicating that they are among the “trustworthy and intelligent.” For Thiel’s fans, part of his appeal must be the endless opportunities he presents for decoding, deciphering, and hypothesizing. He offers readers the anticipation of revelation. Then again, the truth could be much simpler: when money talks, people listen.

A MIT entrepreneurial history – Epilogue : The Impact and some lessons learnt

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Degroof has produced one of the best books describing entrepreneurial ecosystems as I have already mentioned in 2 previous posts including Part 2 : Ecosystems & Culture.
In the last part of his book, he switches to the impact of MIT and its ecosystem.

This is a well-known topic as you could read in Entrepreneurial Impact: The Role of MIT. Degroof reminds us (pages 183-89) of the biotech startups around Kendall Square (Biogen, Genzyme) as well as the R&D of big pharma relocating around, such as Swiss Novartis. It’s not only about biotech as Lotus Development or Akamai exemplify. He also mentions some alumni who became famous entrepreneurs or investors, Hewlett (36), Perkins (53) or Swanson (69). He does not mention Noyce (53) though, and his tinkerings (more here and there) or Haren (80) for French people. There could be hundreds of others!

He also adds about the impact of local accelerators from CIC in the late 90s to MassChallenge and TechStars. I am a little less convinced about the international impact MIT had in a more topdown institutional way. What is the exact outcome of partnerships in Singapore, Hong Kong, Abu Dhabi, Spain or Portugal. The Deshpande Center certainly inspired many initiatives including the Innogrants I managed at EPFL in the mid 2000s or even what I do today.

Degroof also develops the importance of teaching and training: “In trying to reconcile the tension between rigor and relevance, Aulet argues convincingly that entrepreneurship should be framed as a craft as opposed to a science or an art. Like a craft, it is built on fundamental concepts. A potter, for instance, needs to master the basic mechanical and chemical principles of his craft. Knowing those does not guarantee success, but they considerably improve the chances. Like a craft, entrepreneurship is best learned through apprenticeship, or learning by doing, rather than relying only on lectures or manuals.” [Page 212]

Again I am a little less convinced about this generally-mentioned point: “There is a strong belief at MIT that entrepreneurship is a team sport. It is based on the evidence that teams of founders tend to perform better than individual founders, and that complementary teams tend to do better than homogeneous teams. Following on the heels of the I-Teams class, nowadays, most teams in entrepreneurship-related courses or contests are required to be composed of a mix of engineering or science students with management students. This has become an important feature and a great strength of entrepreneurship training at MIT. Both groups benefit from each other’s contributions. Engineering and science students discover the market dimensions of the projects with the help of their peers from the business school and learn that it is not enough to build a better mousetrap, while the latter benefit from scientific and engineering insights. Both groups are forced to deal with cultural differences and with more complex team dynamics than what occurs in homogeneous teams. The results are stronger teams and more effective projects.” [Page 214]

Entrepreneurship is a complex venture and entrepreneurial ecosystems are complex and fragile settings. Degroof convincingly describes why Boston has become a model. He does not really develop why it has not been as succesful as Silicon Valley, with a similar culture though. Paul Graham’s Ycombinator had moved from Boston to Silicon Valley as mentioned in Why Boston Should Worry. When I visited Novartis people in Boston, some claimed that Silicon Valley was to Boston what Boston was to Europe. Yes, Boston was more innovative than Europe and that is why Novartis moved some R&D to the West, but when Novartis bought Chiron in Silicon Valley, Novartis discovered going further West was again more adventurous. (See Myths and Realities of Innovation in Switzerland).

But these debates are secondary to the lessons learnt and synthesized by Degroof. A lot of inspiration is to be found. And coming back to the great foreword by Metcalfe : recreating MIT’s renowned entrepreneurial ecosystem is not a simple task. There is no copying MIT’s ecosystem and pasting it into another institution. The founding principles and unique cultural elements that came together to create the “secret sauce,” as Jean-Jacques calls it, the ground-up nature of what has grown and thrived at MIT, are not easy to duplicate. That does not mean that there are no concrete lessons to be learned, that there is not knowledge that can be translated and adapted for other universities and economies. Today, as a successful and seasoned entrepreneur, I still frequently look to MIT in my efforts to build a thriving entrepreneurial ecosystem at the University of Texas. I don’t hesitate to reach out to my extensive network at MIT for answers to questions of theory and practice. From there, I have been able to make great strides in my goal. I may not be recreating MIT, but I am modeling what I do after the very best and adapting it to the specifics I have here in Austin.”

A MIT entrepreneurial history – Part 2 : Ecosystems & Culture

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I continued reading the excellent From the Basement to the Dome by Jean-Jacques Degroof and found more inspiring elements about ecosystems, culture and also technology transfer from academic institutions after my first post. Here they are:

6 ingredients of the MIT ecosystem

Degroof gives us the cultural elements of the ecosystem: But what is it about this culture that has been supportive of entrepreneurship? The argument of this book is that entrepreneurship is particularly congruent with at least six elements of MIT’s culture: a well-ingrained, bottom-up organizational dynamic; excellence in all things that one studies or attempts to do, as well as a belief in hard work and fortitude; an interest in problem-solving and having a positive impact on the world; a belief in experimenting and a tolerance of failure; the pride of being viewed as rebels, sometimes eccentric and even a bit geeky, pursuing unconventional solutions; and the tradition of a multidisciplinary approach to problem-solving. [Page 90]

Why startups?

Here is an interesting comment about academic technology transfer: “Established firms are seldom interested in licensing emerging technologies from academia for several reasons. They don’t understand the potential of the technology; the time frame to develop the tech into a viable product exceeds the time horizon that most firms are comfortable with, or else they fear that they could cannibalize their existing business. As a result, in 1987, the TLO’s new director, John Preston, took the initiative to license technology to new ventures in exchange for equity, first as an experiment because there was a great concern at MIT about potential conflicts of interest. During the first year of this policy, six companies were formed based on such licenses, including ImmuLogic and American Superconductor. Sixteen more companies were formed during the second year. [Page 34]

Degroof then describes the multitude of ecosystem tools, all in a bottom-up logic, with serendipity (chapter 6) as a fairly common mechanism. The beginning of chapter 8 on technology transfer with the example of Amberwave is another must-read:

Often the initial performance of the new technology is either lower than that of existing solutions or not high enough to justify the switching cost for potential clients. As a result, established companies often don’t see the potential of new academic technologies. Moreover, in the few cases when the technology’s advantage is obvious or clearly promising, established companies are often concerned lest they cannibalize market share from their existing technology—a technology in which they have invested time and money, and around which they have built whole supply chains and other infrastructure.
It is estimated that an investment equal to 10 to 100 times the cost of the academic research is needed to bring an academic technology to market. This process also requires patience and perseverance. It can take at least two to three years for a patent to get issued once it is filed. When a company finally licenses a technology, it might take an additional five to ten years before it generates revenue. All in all, the uncertain performance of developing academic inventions, the associated costs, and the time lag between invention and revenue generation make investing in embryonic academic inventions extremely unattractive.
This does not mean that large firms never license patents from universities, but more often, inventors are the only ones to understand and to believe in the commercial potential of their technology. They are, therefore, frequently the only candidates interested in founding (and sometimes funding) a company to commercialize their technology. This process involves obtaining a license for the patent or patents based on their invention from their university, since, following the Bayh-Dole Act of 1980, the university owns the intellectual property of government-funded research. The edge that inventors have is the extensive and unique knowledge that they have accumulated through their research efforts and exposure to industry over the years. [Page 156]

Managing technology transfer

And more interesting information here about avoiding conflicts of interests at MIT: Policies do not allow faculty members to use students for research and development (R&D) related to a start-up in which that professor has equity, nor may students be employed by such a start-up. A start-up in which a professor has an interest is not allowed to fund research in that professor’s lab. Similarly, a professor is not allowed to conduct federally funded research in collaboration with such a start-up, with the exception of SBIR and Small Business Technology Transfer (STTR) funding. A start-up venture may not be located in a lab. Employees of a professor’s start-up may not be involved in the research activities of the professor’s lab. Research in the lab may not be influenced by a professor’s other professional activities. A faculty member’s full-time employment at MIT prohibits significant managerial responsibilities in a start-up. [Pages 161-62]

Or about making money with Technology Transfer: Many universities expect their technology transfer activities to be profitable and bring in revenue. Although MIT is one of the most successful and experienced universities in terms of technology transfer, its experience shows that this kind of financial gain is a misleading expectation. “Any university that counts on its tech transfer to make a significant change in its finances is statistically going to be in trouble,” said Nelsen. To that end, her motto during her tenure as head of the TLO was, “Impact, not income.” [Page 162]

Many startup stories

Degroof adds anecdotic descriptions of individual companies, rich with lessons: these are BBN (1948), Teradyne (1960), Analog Devices (1965), Prime Computer (1972), Apollo Computer (1980), Thinking Machines (1983), Harmonix Music Systems (1995), Amberwave (1998) ThingMagic (2000), Momenta Pharmaceuticals (2001), SmartCells (2003), Ambri (2010), Firefly Bioworks (2010), Sanergy (2011), Wecyclers (2012), Nima Sensor (2013), Bounce Imaging (2013), ReviveMed (2016), Biobot Analytics (2017), not forgetting Robert Langer’s 40+ spinoffs from 1987 to today!

Internal venture capital – The Engine

My experience with academic venture capital funds is mitigated to say the least. So this is an interesting experiment: Faced with this perceived market failure, MIT’s leadership pointed to the need for patient capital to bring ventures that are trying to commercialize tough science and need more time than do digital businesses to reach a stage where they are ready for venture capital. […] In October 2016, President Reif announced the creation of The Engine, https://www.engine.xyz , a for-profit but public benefit corporation, separate from MIT, that would act as an accelerator for start-ups trying to commercialize “tough techs” by providing advice and physical facilities, as well as an investment fund of patient capital. […] In addition to going against MIT’s policy of not funding entrepreneurial projects, The Engine also broke with Institute tradition by incubating the entrepreneurial projects of its members, which certainly raised substantial objections within the MIT community. [Page 64]

The Engine has a double bottom line: it seeks financial returns and it seeks impact. The Engine raised $200 million for its first fund, with MIT contributing $25 million. […] The fund invests from $250,000 to $2 million per venture, and its investments are not exclusive to MIT-related firms. The investment is made with a time horizon of eighteen years, rather than the typical five to eight years given in the case of venture capital funds. […] Second, The Engine gives start-ups access to infrastructure, such as expensive, specialized equipment, including some from MIT, that otherwise might represent a barrier to entry to firm foundations. The Engine’s facility was initially located in 26,000 square feet of space in Cambridge, with the ambition of expanding to 200,000 square feet through a network of offices, labs, and prototyping and makerspaces a few blocks from Kendall Square. […] Third, the new initiative comes with a network of professionals and mentors in the so-called hard-tech space. [Page 173]

In 2020, The Engine raised a second $250M with $35M from MIT and Harvard University joined as a new LP. Is this different than VC? Will it succeed? Time will tell…