Category Archives: Start-up data

The Paris Innovation Review about Start-ups

Once again the Paris Innovation Review (formerly ParisTech Review) publishes a series of excellent articles, this time dedicated to start-ups. These are:
– Companies like others? A sociological survey of French startup. http://parisinnovationreview.com/2017/03/21/sociological-survey-french-startups/
– Startups Employees Perks & Incentives – 1 – Wages. http://parisinnovationreview.com/2017/03/23/startups-employees-perks-incentives-1-wages/
– Startups Employees Perks & Incentives – 2 – Equity. http://parisinnovationreview.com/2017/03/23/startups-employees-perks-incentives-2-equity/

The article about the sociology of start-ups shows (in fact confirms) interesting things. I will let you read and jump directly to some of their concluding points: “Some of these results can provide pause for thought for public policies aimed at fostering startup creations. The survival of these businesses seems relatively unpredictable, both for the people involved (entrepreneurs, employees, support bodies) and for analysts who observe them from the outside. We have interpreted this unpredictability as the result of two causes. The first is the selection operated by the support agencies, a selection that has largely guided ours, since a claim of technical innovation, which was our main criterion for inclusion in our survey, is generally associated with subsequent monitoring and aid by these agencies. One might think that a number of projects considered very unrealistic could have been excluded by these services, which in fact limits the variety of the companies we studied. The second, more fundamental cause is the very variety of factors that make or break businesses: outlets that emerge and disappear along with the flow of global economic changes, strategies of major industrial groups and initiatives by competitors, internal conflicts, resources which become abundant or scarce depending on the context, financial problems which are difficult to anticipate, etc. This may encourage governments and public agencies to foster a much greater number of projects and not merely be satisfied with those that they consider to be the most promising. Watering a whole field is often more efficient than dumping all the available water on but a few square meters… Securing solid support by authorities, companies that are deemed innovative are doing better than the others if one considers their survival rate. Perhaps it would not be absurd to offer an equivalent support to businesses in other economic circles.”

The incentive topic is one I have covered at length as you may see with my Slideshare link below. On the salary side, I fully agree with their claim: Be as objective as possible: this ensures fairness and acknowledges a basic truth: people talk. On the equity side, know the rules of vesting and cliffs, and build a granting mechanism based on experience of employees and layers of early and late comers, i.e. the same number of stock options could be granted per year (so more shares to early employees as there are more employees per year when the company grows. If it does not, stock options are probably worthless…)

Data about equity, founders, venture capital from 401+ start-ups

I regularly compile data about start-ups and in particular about how equity is allocated to founders, employees (through stock options), independant board members and investors (through preferred shares). I have now more than 400 such cases (see below the full list). What is interesting is to look at some statistics by geography, by field and by period of foundation. here they are:

There would be a lot to say, but I prefer you build your own opinion…

Equity Structure in 401+ Start-ups by Herve Lebret on Scribd

What is the equity structure of Uber and Airbnb?

What is the equity structure of Uber and Airbnb? Unfortunately, this is a question only the shareholders in the two start-ups can know. I have nearly no clue. But over the week-end I had a quick look at how much these unicorns have raised and how this impacted the founders. If you read this blog from time to time, you probably know I do this exercise regularly. I have a databasis of more than 350 examples, and I will update it soon with 401 companies, including these two ones. Here is the result of my “quick and dirty” analysis.


Airbnb cap. table – A speculative exercise with very little information available


Uber cap. table – A speculative exercise with very little information available

A few additional remarks:
– the three founders of Airbnb were 27, 27 and 25-year old at the date of foundation. Whereas for Uber, they were 32 and 34;
– as you may see, I do not have any information about other common shareholders, neither about stock option plans. More information will be released when/if the companies file to go public…
– the amounts raised are just amazing but the founders relatively undiluted;
– finally, Uber did a stock split so the huge price per share would be divided by around 40 whereas the real number of shares is multiplied by the same amount.

Comments welcome!

PS: for some unknown reason, I had some trouble with Slideshare. So here is my updated document on Scribd…

Equity Structure in 401+ Start-ups by Herve Lebret on Scribd

Unicorns file to go public: Snap & AppDynamics

Two unicorns – start-ups valued at more than $1B – filed to go public these last weeks:
– Snap, Inc. the company famous for its SnapChat service.
– AppDynamics, a probably less famous IT company (but known here in Lausanne for acquiring EPFL spin-off BugBuster).

I publish below their cap. table (to the best of my abilities) as well as their quarterly revenue and loss over 2015 & 2016. (Data are compiled from the S-1 SEC documents)

AppDynamics will not go public as Cisco announced it would acquire AppDynamics for $3.5B. Snap’s IPO remains to be seen. I will let you have a look at data and build your own opinion. On the profit & loss data, I am still surprised to see companies filing to go public with losses which remain high, abd without a clear decrease. Of course, their revenue growth is impressive!

Seydoux, the founder of Parrot, about entrepreneurship and innovation

A recent publication by the excellent ParisTech Review draw my attention. It’s entitled Three lessons from Parrot’s saga et you can read the entire article here (www.paristechreview.com/2016/09/28/three-lessons-parrot-saga/)

I already posted about Parrot and its founder Henri Seydoux (see www.startup-book.com/2012/08/10/parrot-and-henri-seydoux-a-french-success-story/) and I was lucky to listen to him at EPFL in 2014. I encourage you to watch to his presentation below, where he gave five advice: follow your own ideas, people will help you, focus is essential, be cautious with money, and… good luck.

In this new series of advice, I did not only notice Seydoux’ three lessons (1- it’s perfectly possible to create an industrial company in France. In fact, it’s even easier than ever. 2- high technology works in cycles, and you can’t expect to sell the same product for decades. 3- the software industry is fundamentally oriented towards B2C) but also some striking points:
– Parrot was many times close to bankruptcy but thanks to the courage, vision and yes, luck of its founder, Parrot avoided the worst.
– To his regret, [he] never managed to convince French brands […]. No one is a prophet in his own country…
– To innovate, Seydoux created « internal start-ups », with small talented teams with “two main prohibitions: no specifications, no market research”. Some tinkering, trial and errors and “gradually, we accumulate knowledge and sometimes, it ends up working”.
In 2016, Parrot has a market cap. of €300M, sales of €300M and close to 1’000 employees. A beautiful European success story.

The top US and European (former) start-ups

Since I published my book in 2007, I have regularly been doing the exercise of comparing the largest US (former) start-ups and their European counterparts. In 2010, I had the following tables:

top-10-usa-2010

top-10-europe-2010

What I call former start-ups are public high-tech companies which did not exist 50 years ago. Of course Europe is struggling; this has been (and still is) my concern and the reason of my book. Now here is my latest exercise.

top-10-usa-2016

top-10-europe-2016

I will let you make your own opinion about how things have evolved. I see quite striking elements. The main one comes from a presentation I saw a few days ago about the evolution of the American biggest market capitalizations. Here it is… quite impressive…

largest-companies-by-market-cap-chart
Source: Visual Capitalist

Crispr Therapeutics Ag, the Swiss start-up also files for Nasdaq

Last April, I published a short post about the hot Crispr Start-ups. At the time only Editas and Intellia had filed to go public. I could build Crispr Therapeutics cap. table thanks to Swiss registers data. Now Crispr Therapeutics Ag has also filed on Nasdaq (see its S-1). I was not so far from the truth as you may check the new and old cap. tables. Interesting data points…

– Crispr Therapeutics from Nasdaq filing
crispr_therapeutics_cap_table_sep16

– Crispr Therapeutics from Swiss register data
Crisper-Crispr

When was the word “start-up” first used?

It’s a question I was asked yesterday (May 21) and thought it would have between the 60’s and 80s, but had honestly no clue. So I did a little search, first through old books I had read and found this on Google books:

svfever-cover
Silicon Valley Fever: Growth of High-Technology Culture, by Everett M. Rogers, Judith K. Larsen Basic Books, 1984.

svfever-startup

but apparently I was quite far. It seems to be 1976 as I found the question answered on Quora: What is the origin of the term “startup”, and when did this word start to appear?

origin-startup

As cited in the OED (1989 edn) start-up, in the business sense, is first recorded in 1976:
1976 Forbes 15 Aug. 6/2 The?unfashionable business of investing in startups in the electronic data processing field.
Start-up company arrived a year later:
1977 Business Week (Industr. edn) 5 Sept. : An incubator for startup companies, especially in the fast-growth, high-technology fields.[…]
The term “start-up” meaning upstart dates back to 1550. Now, in the sense of “budding company”, it was first used by Forbes magazine in 1976:“The OED traces the origins of the term, used in its modern sense, back to a 1976 Forbes article, which uses the word as follows: “The … unfashionable business of investing in startups in the electronic data processing field.” A 1977 Business Week article includes the line, “An incubator for startup companies, especially in the fast-growth, high-technology fields.”

Myths and Realities of Serial Entrepreneurs

This is my latest contribution to Entreprise Romande. This is a topic I have covered from time to time and though that it would be interesting to share it with a wider audience thanks to the FER newsletter.

ER-Mai2016-SerialEntrepreneur

I have always been suspicious of the concept of serial entrepreneur, this creator who, according to Wikipedia, “continuously comes up with new ideas and starts new businesses, as opposed to a typical entrepreneur, who will often come up with an idea, start the company, and then see it through and play an important role in the day to day functioning of the new company.” Why such a bias if one considers exceptional serial entrepreneur like Steve Jobs (Apple, Next, Pixar), Elon Musk (PayPal, Tesla, SpaceX) or English “rock star” Richard Branson who declined Virgin in music, retail, air transportation and mobile communications? Because from experience, the idea of going from one idea to another seems far from sufficient if the entrepreneur does not invest an enormous and sustained activity to market and commercialize her project? Not really, since the three examples show that it can be not superficial hyper-activity, but the success of products or services consecutive to a total commitment of their creators.

My suspicion was built over time, because with the exception of some mythical characters always cited as examples for good reasons, I had the belief of recurring “patterns” and the example of Steve Jobs is a good illustration: he has never done as well as with Apple, his first creation. A few years ago, I dedicated some time to a statistical study about the “performance” of these serial entrepreneurs in comparison with their more conventional counterparts. [1] The study of some 450 serial entrepreneurs out of a group of more than 2700 founders gave some interesting results: if on average, serial entrepreneurs do better than others with their first business (the value created is larger, and with less investment), the trend is reversed with the following ventures, and beginning with the third, they do less well, while raising more money from their investors. QED! This study was perhaps the result of a particular situation in Silicon Valley and Stanford? A 2011 study of some 600 British entrepreneurs [2] shows that 60% of the founders having experienced failure were serial entrepreneurs while they accounted for half of the sample. The authors are known as experts on the subject and their many studies do not show that experience is a real advantage.

If the facts seem somewhat scuttle the myth, it is also interesting to analyze a little further. A serial entrepreneur, and more if she had a successful career, will have an enormous self-confidence and probably a seduction power to attract investors and talent for her future projects. She will be ready to take risks, even greater as she has already succeeded, so that failure may have a lower financial impact. The authors of the British study add that those who have failed have experienced such trauma that they repress this failure to the point not to learn anything from the experience …

What lessons for those – investors and employees – who are willing to blindly follow such a hero? Probably the need to show a little caution and analyze with some rationality if the project makes sense and if the creator seems a minimum rational in his vision of the development of this new project. In reality, success will always remain the domain of the exception, an unlikely alignment of the planets. An entrepreneur must always be optimistic, but if he loses too much sight of these realities, blindness can be fatal. And I would add a message to the entrepreneur without experience: by listening too much to the advice of those who “know”, the entrepreneur may forget his inner voice, the intuition so fundamental for all creative people. This myth of the serial entrepreneur perhaps shows that talent is more important than experience …

[1] Serial Entrepreneurs: Are They Better? – A View from Stanford University Alumni – Babson Conference “Frontiers of Entrepreneurship Research” 2012. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2133127
[2] Why Serial Entrepreneurs Don’t Learn from Failure. Par Deniz Ucbasaran, Paul Westhead et Mike Wright . https://hbr.org/2011/04/why-serial-entrepreneurs-dont-learn-from-failure

Cisco’s A&D

In 2009, I had analyzed Cisco’s strategy of Acquisitions and Development (A&D) which was claimed to be a substitute to R&D. You can have a look at my previous article also entitled Cisco’s A&D. I decided to redo the same analysis, i.e. the size of Cisco per year (sales and employees) as well as the number and values of its acquisitions. I also analyzed the geographical location of these acquisitions. The results follow. I just add that Silicon Valley remains the main source of acquisitions. The total value of the M&As were about $75B ($48B until 2006 and $27B in the last 10 years).

Cisco_1984_2016_figures

Cisco_1984_2016

Cisco_1984_2016_geography_figures

Cisco_1984_2016_geography

Finally the exhaustive list (from Cisco’s web site and Wikipedia).

Cisco_M&A_1993_2006

Cisco_M&A_2007_2016