Tag Archives: Innovation

Marie Curie in Morbihan according to Xavier Jaravel

Here is a short, dense and convincing essay that anyone interested in innovation should read. The subject is nevertheless complex, but the author gives a clear and argued vision of it. So here is my summary or rather selected extracts, because you have to go directly to the text which only takes an hour or two to read!

A diagnosis

Taxation?

In the top 1% of the income distribution, around 70% of taxpayers receive income from entrepreneurship, a figure which increases further for the richest, reaching 85% for the top 0.1%. [Page 21]

A list of individuals with the highest wealth is drawn up each year by Forbes magazine: less than 10% of the individuals appearing on the list in 1983 are still there in 2023. [Page 23]

The author is not convinced that taxing the rich is a solution to the inequalities created. Provided that the incentives and dynamics do not ultimately favor a tiny minority [but taxation in general remains a subject of fairness (see Piketty]. The tech giants, however, seem to have become dangerous monopolies because they are unregulated [page 24]

On the “Darwinian” dynamics of innovation, see also an older post, Silicon Valley will soon be 65 years old. Should she be retired?

Globalization ?

Companies that automate increase their employee workforce. [Page 28] Of course, this result only reflects average trends and does not mean that there are not negative effects on employment for certain technologies. For example, organizational innovations in logistics tend to reduce labor requirements. But it is very difficult to identify such cases with certainty; and, on average, the effect on employment is very positive. [Page 30]

Innovation for whom?

Due to the increase in inequality in the United States since the 1970s, the size of the market for products consumed by wealthy households is growing more quickly, and it is therefore on these markets that innovators are focusing their efforts. […] In an economy where the purchasing power of the most modest stagnates, which has been the case in the American economy for decades, the most modest never see the color of these innovations [Page 35]

The flow of innovations that generate purchasing power throughout society is not automatic: it depends on economic incentives. […] In the absence of a solvent market, there will be no innovation, so what can we do? [Page 37]

Some directions

Market size

It is estimated that a 10% increase in market size leads to a 3% drop in prices for consumers.
[Page 42]

The sociology of innovators

The innovative or entrepreneurial idea is often born by directly experiencing a need or a problem to be solved. If those who innovate are not representative of society as a whole, innovations are biased in favor of a minority, those of the privileged who innovate. [Page 43] And the author mentions the examples of Louis Braille and Joséphine Cochrane.

In the United States, individuals whose parents are in the top 1% of the income distribution are ten times more likely to become innovators. […] There is no self-made innovator: the social environment plays a major role. […] Same thing in France for individuals who become doctor-engineers or doctor-researchers. [Page 44]

Innovators are turning to consumers who are like them. [Page 46]

When it comes to innovation, the scope for public action is immense. [Page 48] Innovation policy has given an emphasis to financing innovation, with tax credits and direct subsidies […] Conversely, investment in education and public research has had a tendency to decline. […] States spend relatively little on innovation. The innovation policy consists of around ten billion euros. Of these 10 billion annually, the most important system is by far the research tax credit (CIR), amounting to 7 billion. [Page 51] Despite numerous analyzes attesting of its low effectiveness, the CIR remains the main instrument today. [Page 52]

Note by the way that this process is not accompanied by a public debate. […] It is a process in small committees bringing together senior civil servants, a few politicians and a few captains of industry, whose sociology is just as selective as that of the innovators, that is to say not very representative of the population in its entirety. [Page 52]

Education

X. Jaravel devotes a long chapter to the importance of education in all its dimensions for the least privileged as well as for the highest potential, in the sciences as well as behavioral skills, to combat all the biases of the sociology of innovators who are basically middle-aged white men [page 47]

For example, those who excel in the International Mathematics Olympiads will not always have the opportunity to do a doctorate, due to lack of opportunities in their country. That’s so many researchers and innovators lost. [Page 53] With the reference “Invisible geniuses: could the knowledge frontier advance faster?”

Education produces its effects in the long term, which does not attract the attention of those in a hurry, obsessed with other, more short-term priorities. [Page 56]

In his chapter 4, the author explains his skepticism about the taxation of the rich, the establishment of a universal income, the taxation of robots, protectionism or planning, while qualifying his remarks, as he knows that acting on a complex system can have effects that are difficult to measure. Once again he expresses the blind spots of such decisions, due to very technocratic processes on the one hand, not very effective on the other hand, especially if they are not evaluated a posteriori and finally because too much of a role is given to innovative projects rather than education and training. [Pages 68-70]

In search of the lost Marie Curies

There are innovation clusters, not only from the point of view of the production of innovations, but also with regard to the origins of the new generation of innovators. [Page 74] Those who are most likely to become innovators in tech are those who have spent the most time in Silicon Valley, as if they were embedded in the environment and planned for these careers. [Page 76] Which makes me think of how many Robert Noyce, from a small town in the American Midwest, compared to Steve Jobs and Larry Page.

Achieving perfect parity between women and men to access innovation would increase the growth rate of labor productivity from 1% to 1.80%. [Page 78] We obtain equally important effects when we analyze a hypothetical situation in which individuals from disadvantaged backgrounds (rather than women) would no longer face any barriers in accessing professions in innovation and science. [Page 79]

It is also instructive to appreciate the effects of a very targeted policy which, by hypothesis, would achieve parity among the top 1% of individuals classified according to their aptitude for innovation. In the macroeconomic model, the most important innovations come from a small number of innovators (which is consistent with the data on the extreme concentration […] of start-up fundraising.) [Page 79]

The next pages are devoted to the impact of awareness raising in schools, an equally fascinating subject. Women are largely under-represented in scientific fields in France, which explains a third of the salary gap between women and men, which amounts to around 15% (for identical working hours). [Page 83]

X. Jaravel therefore insists on the importance of investment in education by emphasizing parity and territorial equality [Pages 85-6]. The author is concerned about the deterioration of education. Both in the basic “read, write and count” as well as on the best: In 2017, only 1% of students reached the level of the top 10% in 1987. [Page 91]

Three principles of action

– We know well that there is no single mechanism with a magical power, but that it is rather the conjunction of tools that makes it possible to change the situation.
– Under no circumstances should technical training be left aside.
– Several reforms could be specifically considered in their link with innovation and entrepreneurship. For example, introductory courses in entrepreneurship and innovation in high school, and strengthening teaching on the use of new technologies.

Democratizing innovation

At the end of his essay, X. Jaravel recalls two blind spots: a technocratic bias (leaving little room for citizens) and a limited use of evaluation. It is important to determine whether a scheme creates windfall effects or is truly effective. Thus an American study showed that certain subsidies constituted a pure and simple windfall effect when the subsidized technologies were already mature [while] conversely subsidies for start-ups at the very beginning of their life, in particular to realize prototypes had a strong ripple effect. [Page 110]

The author ends with three priorities:
– An educational policy that inspires vocations
– Do not give in to protectionist temptation
– Promote active participation of citizens

With the observation that innovation flows neither from the most brilliant entrepreneurs nor from the top of the State. Innovation is always collective, it infuses slowly, in the “rhizome” of innovation [Page 115]

I doubt that the reader in a hurry will understand much of these notes, and the author also indicates that this same reader could jump directly to the conclusion of his essay. You should read the full essay even if I doubt that the decision-makers often mentioned in Marie Curie habite dans le Morbihan – Démocratiser l’innovation will take the time to implement the recommendations, assuming they read them. But we must remain optimistic!

Optimism and Disillusionment in Silicon Valley. Part 3 : Goomics, the end of Googleyness?

First, it’s important to remember that Aaron Swartz died 10 years ago. He was, maybe, the first casualty of the end of the Internet as we dreamed it, a free or at least easy access to the world information.

What is Googleyness? Laszlo Bock’s Definition of Googleyness is #1 Enjoying Fun, #2 Intellectual Humility, #3 Conscientiousness, #4 Comfort with ambiguity, #5 Evidence that you’ve taken some courageous or interesting paths in your life. In page 134 of Goomics, Manu Cornet mentions “Data-Driven and Transparent, Selfless and Humble, Proactive, with a Sense of Humour & Silghtly Irreverent, Respectful and Fair”.

So what happened between the Volume I of Goomics, (that I had 3 posts about here, there and there) and this second volume, with subtitle Disillusionment? Let us quote the author through a few of his drawings. First of all, Google is an innovative company, as Manu Cornet reminds us through the following and funny quiz, the answers to which you will find at the end of the article.

However, the author has lived his last years at Google with some difficulty. Here are some examples:

His feelings that Google is becoming a normal company with its bad habits of bureaucracy, lack of transparency and even worse bad treatment of harrassment are rather scary.

Let’s end on a refreshing note though, written by a true nerd!

Post-scriptum (before the anwsers to the quiz):

A post-scriptum to close the loop of these 3 articles about disillusionment in innovation. A recent scientific article seems to support some of Michael Gibson’s arguments in Paper Belt on Fire. France Culture in Les publications scientifiques deviennent de moins en moins “innovantes” (see the end of the page) quotes a publication by researchers from the University of Minnesota, Papers and patents are becoming less disruptive over time. An interesting read for those intrigued by the subject.

Answers to the quiz

Postscript (as of August 22, 2023): Page and Brin don’t give many interviews, the latest one I found is this one:

Optimism and Disillusionment in Silicon Valley. Part 2 : Steve Jobs in Playboy

It is the third time I can relate Playboy magazine to technology startups. Strange.

In 1971, Intel went public the same day as Playboy and its co-founder, Gordon Moore, funnily recounts in Something Ventured: And a few years later one of the analysts: “The market has spoken. It’s chips over chicks, 10-to-1.” He did not exactly say that but something similar. I will let you search if you wish…

In 2004, the playboy interview of the Google founders, The Google Guys, America’s newest billionaires, was very controversial. Not because of the publisher, but of the timing. You can read
Google says Playboy article could be costly.

Finally I recently discovered that in 1984 was published a lengthy 13-page interview of Silicon Valley’s newest star: Steven Jobs, a candid conversation about making computers, making mistakes and making millions with the young entrepreneur who sparked a business revolution. Here are some extracts.

About computers

We’re living in the wake of the petrochemical evolution of 100 years ago. The petrochemical revolution gave us free energy – free mechanical energy, in this case. It changed the textures of society in most ways. This revolution, the information revolution, is a revolution of free energy as well, but another kind: free intellectual energy. It’s very crude today, yet our Mackintosh computer takes less power than a 100-watt light bulb to run and it can save you hours a day. What will it be able to do ten or 20 years form now, or 50 years from now? This revolution will dwarf the petrochemical revolution. We’re on the forefront.

Computers will be essential in most homes. The most compelling reason to buy a computer for the home will be to link it into a nationwide communications network. We’re just in the beginning stages of what will be a truly remarkable breakthrough for most people – a remarkable as the telephone.

It’s often the same with any new revolutionary thing. People get stuck as they get older. Our minds are sort of electrochemical computers. Your thoughts construct patterns like scaffolding in your mind. You are really etching chemical patterns. In most cases, people get stuck un those patterns, just like grooves in a record, and they never out of them. It’s a rare person who etches grooves that are other than a specific way of looking at things, a specific way of questioning things. It’s rare that you see an artist in his 30s or 40s to really contribute something amazing. Of course, there are some people who are innately curious, forever little kids in their awe of life, but they’re rare.

About innovation

What happens in most companies is that you don’t keep great people under working environments where individual accomplishment is discouraged rather than encouraged. The great people leave and you end up with mediocrity. I know, because that’s how Apple was built. Apple is an Ellis island company. Apple is built on refugees from other companies. These are the extremely bright individual contributors who were troublemakers at other companies.

Polaroid did that for some years, but eventually Dr Land, one of these brilliant troublemakers, was asked to leave his own company – which is one f the dumbest things I’ve ever heard of.

About growing

Anyway, one of our biggest challenges and the one I think John Sculley and I should be judged on in five to ten years is making Apple an incredibly great ten- or 20-billion-dollar company. Will it still have the spirit it does today? We’re charting new territory. There are no models we can look to for our high growth, for some of the new management concepts we have. So we’ve to find our own way.

The way it’s going to work is that in our business, in order to continue to be one of the major contributors, we’re going to have to a ten-billion-dollar company. That growth is required for us to keep up with the competition. Our concern is how to become that, rather than the dollar goal, which is meaningless to us.

There may be some imitators left in the $100,000,000-to-$200-000-000 range, but being a -$200-000-000 company is going to mean you are struggling for your life, and that’s not a really a position from which to innovate. Not only do I think IBM will do away with its imitators by providing software they can’t provide, I think eventually it will come up with a new standard that won’t even be compatible with what it’s making now – because it is too limiting.

[Jobs was visionary but could be always right. Look at Dell, Compaq, Lenovo, HP and Intel/Microsoft…]

I used to think about selling 1,000,000 computers a year, but it was just a thought. When it actually happens, it’s a totally different thing. So it was. “Holy shit, it’s actually coming true!” But what’s hard to explain is that this does not feel like overnight. Next year will be my tenth year. I had never done anything longer than a year in my life. Six months for me, was a long time when we started Apple. So that has been my life since I’ve been sort of a free-willed adult. Each year has been so robust with problems and successes and learning experiences and human experiences that a year is a lifetime at Apple. So this has been ten lifetimes.

There’s an old Hindi saying that comes into my mind occasionally: “For the first 30 years of your life, you make your habits. For the last 30 years of your life, your habits make you.” As I’m going to be 30 in February, the thought has crossed my mind. And I’m not sure. I’ll always stay connected with Apple. I hope that throughout my life, I’ll sort of have the thread of my life and the thread of Apple weave in and out of each other, like a tapestry. There may be a few years when I am not there, but I’ll always come back.

About artificial intelligence

The original video games captured the principles of gravity. And what computer programming can do is to capture the underlying principles, the underlying essence, and then facilitate thousands of experiences based on that perception of the underlying principles. Now if we could capture Aristotle’s world view – the underlying principles of his world view? Then you could ask Aristotle a question. Ok you might say it would not be exactly what Aristotle was. It could all be wrong. But maybe not.

Part of the challenge, I think, is to get these tools to millions and tens of millions of people and to start to refine these tools so that someday we can crudely, and then in a more refined sense, capture an Aristotle or an Einstein or a Land while he’s alive.

That’s for someone else. It’s for the next generation. I think an interesting challenge in this area of intellectual inquiry is to grow obsolete gracefully, in the sense that things are changing so fast that certainly by the end of the Eighties, we really want to turn over the reins to the next generation, so that they can go on, stand on our shoulders and go much further. It’s a very interesting challenge, isn’t it? How to grow obsolete with grace.

Post-Scriptum: It is difficult to add anything to this beautiful conclusion and yet I wish to create a (quite artificial) link between these first two parts. I just discovered it while finishing this article and the coincidence is quite beautiful. I didn’t know about this Steve Jobs interview. Much better known, even famous, is the speech he gave in 2005 at Stanford University, for the graduation of students (the “commencement speech” – my first article in this blog)

Coincidentally, Michael Gibson ends his book, Paper Belt of Fire, by analyzing another commencement speech given in 2005 and considered by some to be one of the most beautiful with that of Jobs. This is “This is water” by David Foster Wallace, the entirety of which you will find in This Is Water: Some Thoughts, Delivered on a Significant Occasion, about Living a Compassionate Life.

Here is its conclusion:

The capital-T Truth is about life BEFORE death.

It is about the real value of a real education, which has almost nothing to do with knowledge, and everything to do with simple awareness; awareness of what is so real and essential, so hidden in plain sight all around us, all the time, that we have to keep reminding ourselves over and over:

“This is water.”

“This is water.”

It is unimaginably hard to do this, to stay conscious and alive in the adult world day in and day out. Which means yet another grand cliché turns out to be true: your education really IS the job of a lifetime. And it commences: now.

A Library of Books about Startups, High-Tech, Innovation

I began this blog in July 2007, so more than 15 years ago. I began my professional activity around startups in September 1997, so more than 25 years ago. So many adventures, so many great moments. And so much book reading! I revisited these pages and did an exhaustive list of the books I could remember reading. Most have a post somewhere in the blog.

I created a little artificially 6 categories:
– About Google and Apple
– Entrepreneurs’ Biographies
– Startup Stories and Analyses
– Ecosystems and Innovation
– Venture Capital
– How to
– Fictions / Thrillers (or close)

Here they are… Enjoy (maybe!)

About Google and Apple

  • Goomics, Google’s corporate culture revealed through internal comics, Manu Cornet
  • In the Plex, How Google Thinks, Works and Shapes Our Lives, Stephen Levy
  • How Google Works, Eric Schmidt, Jonathan Rosenberg
  • Dogfight, How Apple and Google Went to War and Started a Revolution, Fred Vogelstein
  • I’M Feeling Lucky, Falling On My Feet in Silicon Valley, Douglas Edwards
  • The Apple Revolution, Steve Jobs, the Counter Culture and How the Crazy Ones Took Over the World, Luke Dormehl
  • Work Rules! Insights from inside Google that will transform how you live and lead, Laszlo Bock
  • The Google Story, David Vise
  • Return to the Little Kingdom, How Apple and Steve Jobs Changed the World, Michael Moritz

Biographies

  • Elon Musk, Tesla, SpaceX, and the Quest for A Fantastic Future, Ashlee Vance
  • Steve Jobs, La vie d’un génie, Walter Isaacson
  • Inside Steve’s Brain, Leander Kahney
  • The Man Behind the Microchip, Robert Noyce and the Invention of Silicon Valley, Leslie Berlin

Startups Stories / Analyses

  • Trillion Dollar Coach, The Leadership Playbook of Silicon Valley’s Bill Campbell, Eric Schmidt, Jonathan Rosenberg, and Alan Eagle
  • L’entrepreneuriat en action, Ou comment de jeunes ingénieurs créent des entreprises innovantes, Philippe Mustar
  • Chercheurs et entrepreneurs : c’est possible ! Belles histoires du numérique à la française, Laurent Kott, Antoine Petit
  • Bad Blood, Secrets and Lies in a Silicon Valley Startup, John Carreyrou
  • Bienvenue dans le Nouveau Monde, Comment j’ai survécu à la coolitude des startups, Mathilde Ramadier
  • Les start-up expliquées à ma fille, L’entrepreneuriat vu de l’intérieur, Guillene Ribière
  • Startup, Arrêtons la mascarade, Contribuer vraiment à l’économie de demain, Nicolas Menet, Benjamin Zimmer
  • No Exit, Struggling to Survive a Modern Gold Rush, Gideon Lewis-Kraus
  • The Hard Thing About Hard Things, Building a Business When There are no Easy Answers, Ben Horowitz
  • Zero to One, Notes on Startups, or How to Build the Future, Peter Thiel, Blake Masters
  • Startupland, How Three Guys Risked Everything to Turn an Idea into a Global Business, Mikkel Svane, Carlye Adler
  • European Founders at Work, Pedro Gairifo Santos
  • Founders at Work, Stories of Startups’ Early Days, Jessica Livingston
  • The Monk and the Riddle, The Education of a Silicon Valley Entrepreneur, Randy Komisar
  • Once you’re lucky, Twice you’re good, The Rebirth of Silicon Valley and the Rise of Web, Sarah Lacy
  • They Made It! Angelika Blendstrup
  • Betting It All, The Entrepreneurs of Technology, Michael Malone,
  • In the Company of Giants, Candid Conversations With the Visionaries of the Digital World, Rama Dev Jager, Rafael Ortiz
  • Startup, A Silicon Valley Adventure, Jerry Kaplan

Ecosystems and Innovation

  • From the Basement to the Dome, How MIT’s Unique Culture Created a Thriving Entrepreneurial Community, Jean-Jacques Degroof
  • The Microchip Revolution: A brief history, Luc O. Bauer, E. Marshall Wilder
  • The Code, Silicon Valley and the Remaking of America, Margaret O’Mara
  • Loonshots or how to nurture crazy ideas, Safi Bahcall
  • Troublemakers, How Generation of Silicon Valley Upstarts Invented the Future, Leslie Berlin
  • The Rainforest, The Secret to Building the Next Silicon Valley, Victor W. Hwang, Greg Horowitt
  • The Innovators, How a Group of Hackers, Geniuses, and Geeks Created the Digital Revolution, Walter Isaacson
  • The Entrepreneurial State, Debunking Public vs. Private Sector Myths, Mariana Mazzucato
  • Genentech, The Beginnings of Biotech, Sally Smith Hughes
  • Science Lessons, What the Business of Biotech Taught Me About Management, Gordon Binder
  • Le prochain Google sera Suisse (à 10 conditions), Fathi Derder
  • Prophet of Innovation, Joseph Schumpeter and Creative Destruction, Thomas McCraw
  • Start-up Nation, The Story of Israel’s Economic Miracle, Dan Senor, Saul Singer
  • Boulevard of Broken Dreams, Why Public Efforts to Boost Entrepreneurship and Venture Capital Have Failed–and What to Do About It, Josh Lerner
  • The Innovation Illusion, How So Little is Created by So Many Working So Hard, Fredrik Erixon, Bjorn Weige
  • Un paléoanthropologue dans l’entreprise, S’adapter et innover pour survivre, Pascal Picq
  • Against Intellectual Monopoly, Michele Boldrin and David K. Levine
  • The New Argonauts, Regional Advantage in a Global Economy, AnnaLee Saxenian
  • Regional Advantage, Culture and Competition in Silicon Valley and Route 128, AnnaLee Saxenian
  • Silicon Valley Fever, Growth of High Technology Culture, Everett M. Rogers, Judith K. Larsen
  • Creating the Cold War University, The Transformation of Stanford, Rebecca S. Lowen
  • Nurturing Science-based Ventures, An International Case Perspective, Ralf Seifert, Benoït Leleux, Christopher Tucci
  • Entrepreneurship and Innovation, Peter F. Drucker
  • The Gorilla Game, Picking Winners in High Technology, Geoffrey Moore
  • Inside the Tornado, Strategies for Developing, Leveraging, and Surviving Hypergrowth Markets, Geoffrey Moore
  • Crossing the Chasm, Marketing and Selling High-Tech Products to Mainstream Customers, Geoffrey Moore
  • The Founder’s Dilemmas, Anticipating and Avoiding the Pitfalls That Can Sink a Startup, Noam Wasserman
  • The Innovators Dilemma, When New Technologies Cause Good Firms To Fail, Clayton M. Christensen
  • Accidental Empires, How the Boys of Silicon Valley Make Their Millions, Battle Foreign Competition, and Still Can’t Get a Date, Robert X. Cringley

Venture Capital

  • The Power Law, Venture Capital and the Making of the New Future, Sebastian Mallaby
  • The Masters of Private Equity and Venture Capital, Management Lessons from the Pioneers of Private Investing, Robert A. Finkel
  • The Startup Game, Inside the Partnership between Venture Capitalists and Entrepreneurs, William H. Draper III
  • Creative Capital, Georges Doriot and the Birth of Venture Capital, Spencer Ante
  • The Business of Venture Capital, Insights from Leading Practitioners on the Art of Raising a Fund, Deal Structuring, Value Creation, and Exit Strategies, Mahendra Ramsinghani
  • The New Venturers, Inside the High-Stakes World of Venture Capital, John Wilson

 

How To

  • The Mom Test, How to talk to customers & learn if your business is a good idea when everyone is lying to you, Rob Fitzpatrick
  • Straight Talk for Startups, 100 Insider Rules for Beating the Odds, Randy Komisar, Jantoon Reigersman
  • Measure What Matters, OKRs, The Simple Idea that Drives 10x Growth, John Doerr,
  • The start-up of You, Adapt to the Future, Invest in Yourself, and Transform Your Career, Reid Hoffman
  • Don’t f**k it up, How Founders and Their Successors Can Avoid the Clichés That Inhibit Growth, Les Trachtman
  • How To Start a Business That Doesn’t Suck (and will actually turn a profit), Michael Clarke
  • The Four Steps to the Epiphany, Successful Strategies for Products That Win, Steve Blank (NB: the book has been updated and renamed as The Startup Owner’s Manual, The Step-by-Step Guide for Building a Great Company, Steve Blank, Bob Dorf)
  • The Lean Startup, How Today’s Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses, Eric Ries
  • Business Model Generation, Alexander Osterwalder and Yves Pigneur
  • Slicing Pie, Funding Your Company Without Funds, Mike Moyer
  • Getting to Plan B, Breaking Through to a Better Business Model, John Mullins, Randy Komisar
  • Winning Opportunities, Proven Tools for Converting Your Projects into Success (without a Business Plan), Raphael Cohen
  • Start-up, (anti-)bible à l’usage des fous et des futurs entrepreneurs, Bruno Martinaud
  • The Art of the Start, GuyKawasaki

 

Fiction / Thrillers or close

  • Drop by Drop, Keith Raffel
  • Smasher, a Silicon Valley Mystery, Keith Raffel
  • dead, a Silicon Valley Mystery, Keith Raffel
  • The Ultimate Cure, Peter Harboe-Schmidt
  • The First $20 Million Is Always The Hardest, Po Bronson
  • The Nudist on the Late Shift, And Other True Tales of Silicon Valley, Po Bronson

Philippe Mustar – Entrepreneurship in Action – episode 5

This new episode of Philippe Mustar’s book relates to the history of Criteo, a startup already mentioned on this blog here and there.

For once, I disagree slightly with a quote from the book (which is not from the author): “The profile of the team formed by the three creators of Criteo is a perfect example of the one described theoretically by Kathleen M. Eisenhardt (Professor of Management at Stanford University and Co-Director of the Stanford Technology Ventures Program) as “the best it can be.” Kathleen Eisenhardt, based on a lot of research on the subject, defines (somewhat mechanically she herself admits) what a great team is:
– it initially consists of three, four or five people. If there are only two, it is not enough because there are so many things to do in a start-up and above all, being two does not offer a wide enough diversity of opinions, of points of view. If there are six, seven or eight, it is no longer a team, it is a group whose management and coordination take too much time.
– it is multidisciplinary and transversal, that is to say it combines skills in engineering, marketing, finance. But, these skills must be real, that is to say not based only on a diploma, but on actual experience.
– it includes people who have already worked together, this is an important asset because the creation of a start-up is made up of stressful situations, which are easier to share with people you know.
– finally, and this is more surprising, the “best teams” are those which have people of various ages, not only young people in their twenties but also others who have more experience. This often allows you to see different aspects of the same problem.
For Kathleen Eisenhardt, teams that meet these criteria are the ones that perform best. ”
[Page 199]

As much as I can agree if we talk about the management team, I believe that at the time of creation, the founders have different pedigrees. As I wrote in my own book in 2008, “A start-up is a baby created by its parents – the founders. They are responsible for its development and to help it adapt to an evolving world. It does not mean that a founder has to give up control of his start-up. Would a parent give up his child just because he has no experience in feeding and educating? Is the analogy of little value? There is also a responsibility in succeeding in the development. Experts will be used, medical doctors, teachers for the child, professionals, and consultants for the start-up. The Google founders kept such “ownership” during the company’s growth. Eric Schmidt has become CEO but he is more a partner of the two founders. Start-ups seldom develop that well and investors sometimes have to make tough decisions when they take away the “parent” power from the founders. Investors do not like to do this in general and only do it when they consider it absolutely necessary. This is an ideal world but everyone knows reality is more complex”. And I could add, two parents is probably the ideal model.

On the other hand, I fully agree with the sources of innovation: The sociology of innovation has shown that the sources of innovation, like those of the Nile, are multiple and sometimes difficult to identify. It also pointed out that ideas for new products or services are the most common things in the world, and even that they are always bad, always poorly framed and approximate at the origin. As Bruno Latour says: “All important discoveries are born ineffective: they are hopeful monsters,“ promising monsters ”. [Page 251] and the French text by Latour http://www.bruno-latour.fr/sites/default/files/P-92-PROTEE.pdf . [A short parenthesis about Hopeful Monsters, a term I knew only from one of my favorite novels, and I blogged about it here.]

Philippe Mustar – Entrepreneurship in Action – episode 4

Following two previous articles here and there and there again about this very interesting book, here are a few more lessons.

About selling a product

Expliseat is as rich as DNAScript in lessons especially about the description of how 3 young people with no experience in the field will find and bring together the skills to design, produce and sell. We also see one of the founders leaving the ship without the adventure stopping and finally page 186: During these years, Benjamin also learned that the only economic argument (“we make you earn money”), and more broadly those which are purely rational, are not sufficient to convince the customer:

“If you come up with a purely rational product, it’s not a good product, because the buying process isn’t one hundred percent rational. It was important for us to understand this. With the […] then the […], we said: “this is the best […] on the market”, but for the customer, the best […] is also a [product] which is beautiful, which one desires, which inspires confidence … It requires commercial work on the product to make it attractive. The end goal is that people no longer just buy a [product], they buy [our product], something that is beyond the product, they buy a brand, an industrial experience, a purchasing experience, a customer experience, an after-sales service… This is typically what you do when you buy an iPhone, you don’t buy a phone, you buy an Apple, you buy an experience, well it’s the same thing in industry and B2B ”. [Pages 194-5]

The “process of innovation”

What surprises about this story is the apparent mix of genres: the [product] is not yet certified, nor realized and entrepreneurs are already selling it. We are witnessing a real whirlwind in which the team experiments, manufactures, sells, tests, collaborates with various actors, negotiates certification, modifies the project, transforms the [product], changes alliances, partners and market, goes back, takes a detour to a research laboratory abroad, develops a new prototype… We are far from the classic model of innovation, a linear model where distinct stages follow one another: research, then experimental development, prototyping, industrialization and, last step, commercialization. In such a process, the customer or user is passive, she or he enters at the end and the only room for maneuver is to accept or refuse the innovation.

This linear process is a kind of relay race where the end of one stage marks the start of the next stage; and, within the company, each of these steps is the result of a different department: research department, design office, production department, then marketing and commercialization … This sequential vision has been widely criticized by literature, whether it is evolutionary economic theories, the sociology of innovation or the management of technology.

About the market

Expliseat seems to be coming at the right time in their [market]. Often companies with their innovation arrive too late or too early in the market they are targeting. The Greek word kairos [1] qualifies this moment, it is the time of the right moment, the instant of the opportunity. [Pages 195]

[1] The Greek god Kairos is the winged god of opportunity, to be seized when it passes. He is represented by a young man who has only a tuft of hair on his head. As he passes nearby, either you don’t see him, or you see him and do nothing, or you reach out and grab his hair, thus seizing the possibility, the opportunity.

I’ll let you explore the author’s use of the Scrabble metaphor to show you that there is no real innovation process out there, nor opportunity there, but permanent construction from next to nothing.

About decision making under uncertainty

The founders’ ability to act is found in particular in the multiple choices they are faced with, and in the variety of options available to them. For what type of aircraft can this ultralight seat be produced? What form should this take? What materials to use? Which shareholders to bring into the capital? Where to install the company? Should we do it or have it done/outsourced? Which subcontractor to work with? Which research laboratory should be mobilized to solve a specific problem? Which engineer to recruit? What modifications should be made to the structure of the seat? With which industrial partner to enter into an alliance? Which business strategy to choose? Which business model to adopt? At what price to sell the seat? How to organize the business? Etc.

Along with the diversity of actors that we have highlighted, the process I am studying is also populated with a multitude of choices. These are many options that entrepreneurs explore. Here too, they are as much technical as they are economic, organizational or social. The story of Expliseat is the story of an expedition, its actors engage in unknown territory: which options to choose, which to close, which to open or re-open? “To govern is to choose”, says the maxim of the Duke of Lévis. Many options explored in this story lead to dead ends, others that will be exploited lead to failures, and finally others lead to success – and one could say, after the fact, but only after the fact, that “it was the right choice”. [Pages 203-4]

Food delivery startups – a quick analysis

Yesterday I discovered an Indian startup filed to go public on its national stock exchange. I did not know it, shame on me. Zomato is the latest filing in a small number but extremely visible services in the food delivery sector. Who does not know Deliveroo, Just Eat, Uber Eats and others.

I am not sure that twenty years ago I would have pu the sector in technology innovation, but I have to admit innovation has many faces. On Crunchbase, the sector is said to have 616 organizations with $12.5B in funding (see Crunchbase Food Delivery Startups). Traxn gives the largest players here. So thanks to my database of 777 cap. tables, I could have a look at some statistics, with the exception of FoodPanda (acquired by Delivery Hero, funded with $318M including Rocket Internet), iFood (Brazil, owned by Movile, $587M in funding) and Swiggy (India, $2.5B in funding including Accel). Here are the data at time of the IPO filings.

Start-up JustEat GrubHub Zomato Delivery Hero Deliveroo DoorDash Median *
Geography United Kingdom Illinois India Germany United Kingdom Silicon Valley
Founded Aug-01 Feb-04 Jan-10 May-11 Aug-12 May-13 Sep-02
IPO / exit Apr-14 Apr-14 Apr-21 Jun-17 Mar-21 Nov-20 Mar-13
Years to IPO 12,7 10,2 11,3 6,1 8,6 7,5 7,4
VC Amount 88 86 1529 1711 1856 2578 84
1st round 8 1 1 4 4 2 4,4
Sales ($M) 150 137 338 297 1 680 885 23
Income ($M) 10 15 -310 -202 -312 -668 -14
Market Cap. 1 465 1 988 6 782 4 700 10 220 17 384 560
PS 10 15 20 16 6 20 17
PE 147 133 102
Nb of Emp. 886 680 3 469 12 098 2 561 3 279 189

*: the median value is based on 777 startups compiled over years. PS and PE are the ratios of market caps to sales and earnings (profit)

Just Eat has no data on founders as the initial Danish company with 5 founders has been bought and moved/launched in the UK.

Here are the data to date (GrubHub has been acquired by Just Eat in 2020):

Market Cap. $B Sales – $B Loss – $M PS Employees
Just Eat 15,4 2,8 -151 5,4 9 000
Delivery Hero 39,4 2,0 -939 19,5 35 528
DoorDash 46,0 2,9 -458 15,9 3 886
Deliveroo 6,3 1,6 -225 3,9 2 060
Zomato 6,8 0,3 -310 20,1 3 469

What is interesting is the difference in dynamics between companies launched before 2010. Something not really new if you follow this blog, in terms of growth dynammics. Here are some more data about shareholders

Start-up JustEat GrubHub Zomato Delivery Hero Deliveroo DoorDash Median *
Found. 5,7% 6,2% 4,5% 7,1% 12,0% 9%
Emp. 9,4% 25,1% 7,0% 17,2% 18,9% 18,5% 21%
Emp. shares 9,3% 12,1% 3,1% 11,7% 9,4% 4,8% 8%
ESOP-granted 0,1% 9,7% 0,6% 5,5% 9,5% 11,8% 8%
ESOP-reserved 3,3% 3,3% 1,9% 5%
Dir. 0,2% 0,06% 0%
CEO 1,0% 3%
VP 0,2% 1,1% 0,2% 0,2% 0,8% 1%
CFO 0,2% 0,3% 0,2% 1%
Investors 66,0% 59,3% 70,2% 59,9% 74,0% 68,7% 51%
IPO 24,6% 9,7% 16,6% 18,4% 0,6% 16%
Total 100% 100% 100% 100% 100% 100% 100%
Nb of Dir. 2 2 2
Dir % 0,1% 0,03% 0,2%
Nb of found. 2 4 3 2 3 2
Found. % 2,9% 1,6% 1,5% 3,6% 4,0% 4,5%
Found. age 27 31 31 33 23 37,6
F1 28 27 31 33 29
F2 26 29 33 21
F3 31 20
F4 38

The founders are young, own little. How teh sector will develop, I do not know. There is already concentration. Barriers to entry look low. Some experts have doubt about long term profitability… tough to say. Deliveroo shows no IPO shares as the initial filing did not include any new shares. It may have changed at the recent IPO which was not a success; and here are the individual cap. tables.

The Age of Founders – Again!!

As an interesting coincidence, I was mentioned twice in a few days a recent research about the age of founders:
– Colleagues from IMF – the International Monetary Fund – mentioned to me this morning an article from The Harvard Business Review published in 2018: Research: The Average Age of a Successful Startup Founder Is 45 by Pierre Azoulay, Benjamin F. Jones, J. Daniel Kim, and Javier Miranda.
– Just before Christmas, I had a debate with French economists about the age of founders, and they mentioned to me Age and High-Growth Entrepreneurship by Pierre Azoulay, Benjamin F. Jones, J. Daniel Kim, and Javier Miranda.

The same authors, the same messages… In a nutshell: “It’s widely believed that the most successful entrepreneurs are young. Bill Gates, Steve Jobs, and Mark Zuckerberg were in their early twenties when they launched what would become world-changing companies. Do these famous cases reflect a generalizable pattern? […] Our team analyzed the age of all business founders in the U.S. in recent years by leveraging confidential administrative data sets from the U.S. Census Bureau. We found that the average age of entrepreneurs at the time they founded their companies is 42. […] But what about the most successful startups? Is it possible that companies started by younger entrepreneurs are particularly successful? Among the top 0.1% of startups based on growth in their first five years, we find that the founders started their companies, on average, when they were 45 years old. […] These averages, however, hide a large amount of variation across industries. In software startups, the average age is 40, and younger founders aren’t uncommon. However, young people are less common in other industries such as oil and gas or biotechnology, where the average age is closer to 47. […] In light of this evidence, why do some VCs persist in betting on young founders? We cannot definitively answer this question with the data at our disposal, but we believe that two mechanisms could be at play. First, many VCs may operate under a mistaken belief that youth is the elixir of successful entrepreneurship — in other words, VCs are simply wrong. Though it is tempting to see age bias as the leading explanation for the divergence between our findings and investor behavior, there is a more benign possibility: VCs are not simply looking to identify the firms with the highest growth potential. Rather, they may seek investments that will yield the highest returns, and it is possible that young founders are more financially constrained than more experienced ones, leading them to cede upside to investors at a lower price. In other words, younger entrepreneurs may be a better “deal” for investors than more experienced founders.”

The age of founders has been an interesting topic here as you may check with tag #age. In particular I wrote
Data about equity of 600 startups in April 2020
The Age of Founders of Start-ups – Again! in April 2019
Age and Experience of High-tech Entrepreneurs in June 2014

What you will find in common between this recent research and my posts is that there is variation with the field. I am not sure this new research looks at the first entrepreneurial activity and it would make sense as their emphasis is towards experience. I also had different answers about the impact in value creation in my research with this striking illustration:

All this drives me to a second line of thinking:
– the importance of creativity: check #creativity.
– the importance of experience: I had a piece of research with strange results many years ago about serial entrepreneurs. The end result my be counterintuitive. Check #serial entrepreneur

I will not really conclude but say in the end it depends… except by mentioning Galenson‘s work about conceptual and experimental innovators: “Experimental innovators work by trial and error, and arrive at their major contributions gradually, late in life. In contrast, conceptual innovators make sudden breakthroughs by formulating new ideas, usually at an early age. […] Experimental innovators seek, and conceptual innovators find.” from Old Masters and Young Geniuses. This could be an answer to the authors’ question on the choice of VCs: they would be looking for conceptual innovators.

A comparison of the Swiss and French innovation ecosystems

Here is ma latest contribution to Entreprise Romande, it dates back to february 2020, that is before the Covid19 lockdown…

A comparison of the Swiss and French innovation ecosystems.
Hervé Lebret, former head of the start-up unit, EPFL.

Having left Switzerland last August after more than twenty years at the service of high-tech innovation to come back to my beautiful native country, France, where I will continue to work with the founders of startup, I will try to make here a brief comparison of the two innovation systems, with the aim of giving some advice to my friends who stayed in Switzerland, assuming that it may not be necessary!

At the risk of disappointing the reader, it is at the margin that I see differences and this is undoubtedly good news. In the past twenty years, all European states have understood the importance of innovation for the future of the economy and jobs; one speaks about FrenchTech, SwissTech, but in reality one speaks all the more of the same thing as the mobility of ideas, people and companies attenuates the national characters.

However, there are still some differences. What strikes the most, at the risk of caricature, is that France remains the centralized state that Louis XIV then Napoleon sculpted while Switzerland is viscerally federal. For example BPIFrance, the National Public Investment Bank, is critical to innovation both in Paris and in the regions and I don’t think there is an equivalent in Switzerland. The CTI, which would be closest to a national innovation agency, manages a few hundred million Swiss Francs where BPI manages tens of billions of Euros. The ratio is out of proportion to the relative size of the economies of the two countries.

The two agencies have great similarities in the sense that they finance a number of programs from awareness-raising and training in entrepreneurship to funding innovation projects in research centers and personalized advice to entrepreneurs. There is, however, a significant nuance: the public authorities do not directly finance companies or investment funds in Switzerland and these activities are left to the private sector, while in France, BPI finances startups and venture capital funds. . This is a major difference which partly explains the weakness of venture capital in Switzerland. The impact remains difficult to measure, however, because Swiss startups find capital abroad.

The French system also remains more bureaucratic despite major changes in recent years. Switzerland remains more pragmatic: philosophically it seems to me that the law expresses what is allowed in France, what is prohibited in Switzerland, it is a nuance which makes Switzerland more flexible and let us not forget that smaller size has many advantages over complexity. However I have wondered in recent years if the Swiss system has not had a certain tendency to become more complex and even to become more rigid like the French system, but this is just a feeling; I do not have enough data. I am refering, for example, of all the national or international programs, the objective of which is to make the ecosystem more visible: Digital Switzerland on the one hand, Startup Nation on the other; Human brain on one side, quantum computer on the other. Woe to those who are not members of them…

So if I can allow some advice, innovation is not a big machine that we can plan. A multitude of initiatives is better than big programs. Faced with the France of the CAC40, Switzerland has always preferred its fabric of SMEs, at the risk for each country to forget the importance of startups. Both countries have positively evolved, but I have a little fear of convergence towards this complex and slightly bureaucratic planning that I briefly mentioned. In reality, innovation is a fragile object, it is necessary to deal with a good deal of benevolence and tact [1].

[1] https://www.startup-book.com/2015/10/19/what-makes-an-entrepreneurial-ecosystem-by-nicolas-colin/​​

Applied Sciences? Does it exist?

I had to wait many years to discover there was a book written about science and innovation which convincingly shows there is not such thing as a linear model of innovation described usually as Basic research → Applied research → Development → (Production and) Diffusion

Thanks to Laurent for mentioning to me Pasteurs Quadrant: Basic Science and Technological Innovation by Donald Stokes. There is more on Wikipedia.

Pasteur himself apparently said: “There is not pure science and applied science but only science and the applications of science”. More precisely he seems to have said according to Wikipedia again:
« Souvenez-vous qu’il n’existe pas de sciences appliquées, mais seulement des applications de la science ».
(Remember that there are no applied sciences, but only applications of science)
and
« Non, mille fois non, il n’existe pas une catégorie de sciences auxquelles on puisse donner le nom de sciences appliquées. Il y a la science et les applications de la science, liées entre elles comme le fruit à l’arbre qui l’a porté »
(No, a thousand times no, there is not a category of sciences to which we can give the name of applied sciences. There is science and the applications of science, linked together like the fruit to the tree that carried it.)

I have agreed with this for so many years and for the same reasons I never really understood the concept of R&D, I mean why the concepts of research and development would be associated in the same unit, but that is a slightly different topic!

Here is a long extract from Stokes (taken from a pdf found here) worth reading I think:

The examples from the history of science that contradict the static form of the postwar paradigm call into question the dynamic form as well. If applied goals can directly influence fundamental research, basic science can no longer be seen only as a remote, curiosity-powered generator of scientific discoveries that are then converted into new products and processes by applied research and development in the subsequent stages of technology transfer. This observation, however, only sets the stage for a more realistic account of the relationship between basic science and technological innovation.

Three questions of increasing importance arise about the dynamic form of the postwar paradigm. The least important is whether the neatly linear model gives too simple an account of the flows from science to technology. An irony of Bush’s legacy is that this one-dimensional graphic image is one he himself almost certainly never entertained. An engineer with unparalleled experience in the applications of science, he was keenly aware of the complex and multiple pathways that lead from scientific discoveries to technological advances-and of the widely varied lags associated with these paths. The technological breakthroughs he helped foster during the war typically depended on knowledge from several, disparate branches of science. Nothing in Bush’s report suggests that he endorsed the linear model as his own.

The spokesmen of the scientific community who lent themselves to this oversimplification in the early postwar years may have felt that this was a small price to pay for being able to communicate these ideas to a policy community and broader public for whom science was always a remote and recondite world of affairs. This calculation may well have guided the draftsmen of the second annual report of the National Science Foundation as they stated the linear model in the simplistic language quoted earlier in this chapter. In any case, these spokesmen did their work well enough that the idea of an arrow running from basic to applied research and on to development and production or operations is still often thought to summarize the relationship of basic science to new technology. But it so evidently oversimplifies and distorts the underlying realities that it began to draw fire almost as soon as it was widely accepted.

Indeed, the linear model has been such an easy target that it has tended to draw fire away from two other, less simplistic misconceptions imbedded in the dynamic form of the postwar model. One of these was the assumption that most or all technological innovation is ultimately rooted in science. If Bush did not subscribe to a linear image of the relationship between science and technology, he did assert that scientific discoveries are the source of technological progress, however multiple and unevenly paced the pathways between the two may be. In his words,

new products and new processes do not appear full-grown. They are founded on new principles and new conceptions, which in turn are painstakingly developed by research in the purest realms of science.

Even if we allow for considerable time lags in the influence of “imbedded science” on technology, this view greatly overstates the role that science has played in technological change in any age. In every preceding century the idea that technology is science based would have been false. For most of human history, the practical arts have been perfected by “‘improvers’ of technology,” in Robert P. Multhauf’s phrase, who knew no science and would not have been much helped by it if they had.

[…]

But the deepest flaw in the dynamic form of the postwar paradigm is the premise that such flows as there may be between science and technology are uniformly one way, from scientific discovery to technological innovation; that is, that science is exogenous to technology, however multiple and indirect the connecting pathways may be. The annals of science suggest that this premise has always been false to the history of science and technology. There was indeed a notable reverse flow, from technology to science, from the time of Bacon to the second industrial revolution, with scientists modeling successful technology but doing little to improve it. Multhauf notes that the eighteenth-century physicists were “more often found endeavoring to explain the workings of some existing machine than suggesting improvements in it.”