Mostrando entradas con la etiqueta crecimiento. Mostrar todas las entradas
Mostrando entradas con la etiqueta crecimiento. Mostrar todas las entradas

miércoles, 29 de abril de 2020

Internet y desarrollo económico

Vea cada simple dispositivo conectado a Internet 

Los puntos brillantes y apagones trazan amplias disparidades en la conectividad global



Un mapa de todos los dispositivos conectados a Internet muestra las partes más ricas del mundo a nivel con las conexiones, mientras que las zonas pobres y escasamente pobladas del mundo están oscurecidas -, así como unos rascadores de cabeza en el medio.

El mapa fue creado por John Matherly, fundador de Shodan, un buscador que explora backend de Internet y establecer conexiones a todo tipo de dispositivos desde los routers a los frigoríficos. Matherly dijo que le tomó cerca de cinco horas para hacer ping a cada dirección IP en Internet y almacenar cada respuesta positiva. Se tardó 12 horas para graficar las respuestas en un mapa de calor que se ilumina de color naranja brillante en las zonas y densamente conectada azul y negro en las zonas escasamente conectados.

Los EE.UU. y Europa Occidental son, como es lógico, inundado de conectividad. África y Asia Central tienen islas de conectividad se centraron en las áreas urbanas. Luego están los cabeza-rascadores como Groenlandia, que tiene un solo punto aislado justo en el centro de la isla. Un usuario de Reddit especuló que era un observatorio NOAA en la cima de la capa de hielo de Groenlandia.

"Oh my f *** ing Dios !! Eres el tipo !!! ", escribió otro comentarista Reddit, ForceBlade, que detecta una solicitud de ping misteriosa alrededor de la época del proyecto de Matherly. "Tocaste mi corazón, y mi servidor."

Time

lunes, 25 de abril de 2016

Libro: La ciencia del crecimiento de las empresas (de redes)

'La ciencia del crecimiento': Lo que Facebook sabía, pero lo que no hizo Friendster
Pittsburgh Post Gazette


Sean Ammirati autor de la foto


Por Brian Rossi / Pittsburgh Post-Gazette
Con más de 27 millones de empresarios en los EE.UU. y $ 128 millones de dólares en capital de riesgo mundial creció en 2015, la demanda de orientación sobre la gestión de productos está en plena marcha. "The Science of Growth: How Facebook Beat Friendster — and How Nine Other Startups Left the Rest in the Dust", fue escrito por un empresario y capitalista de riesgo Sean Ammirati, un instructor en la Universidad Carnegie Mellon que vendió su empresa a LinkedIn.

El Sr. Ammirati ofrece hasta algunas prácticas probadas y verdaderas que son compatibles con su metodología de investigación descrito en la introducción. Se proporciona una vista "datos informados" de empresas como PayPal, Automattic (Wordpress), LinkedIn, Facebook, YouTube y Twitter. Sostiene que la priorización implacable, entre otras cosas, ayudaron a estas empresas superó a sus competidores.

El Sr. Ammirati hace un excelente trabajo incorporando empresas que el lector está familiarizado con el de pasar el mensaje puntos clave. Se cuenta la historia de Coca-Cola y Pepsi y Pepsi cómo estaba en la necesidad de un nuevo diseño de la botella para competir con la botella de cristal onzas de Coca-Cola de la firma 6.5. Según el Sr. Ammirati, John Sculley, entonces CEO de Pepsi, aprovechó un proceso de "datos informados" que llevó a la creación de la botella de dos litros de plástico.

Después de notar en sus pruebas de que los clientes estaban bebiendo toda la Pepsi en las botellas más pequeñas, el Sr. Sculley la hipótesis de que iban a aumentar la satisfacción del cliente, ofreciendo grandes cantidades. Resultó que Walmart amaba el nuevo diseño de la botella, también. Debido a que estaba hecha de plástico resistente en lugar de vidrio frágil, que ya no estaba en alto riesgo de rotura durante el transporte y el despliegue. Como resultado de haber sido "los datos informados" en lugar de "basados ​​en la información," Pepsi evitar el fracaso de la simple creación de una botella de 6,5 oz con ligeras modificaciones. En su lugar, se definen una nueva categoría de producto, logística optimizada, y la reducción de una barrera de entrada con los minoristas. Este tipo de anécdotas que hacen reflexionar son un componente común dispersos en los capítulos.

"The Science of Growth" es un compañero maravilloso para el plan de gestión de productos canónica, "The Lean Startup" de Eric Ries, que el Sr. Ammirati hace referencia varias veces a lo largo del libro. "La ciencia del crecimiento" aprovecha el movimiento del espíritu empresarial magra como la base para sus lecciones. prácticas comerciales "pobre" a menudo se caracterizan por su utilización de los recursos de las personas y con una eficiencia sistemática con el fin de validar y luego escalar una idea.

El Sr. Ammirati guía al lector a través de las primeras fases de la actividad empresarial, a partir de la validación idea. Se alienta el análisis reflexivo del tamaño del mercado y la importancia de la primera interacción. Él va tan lejos como acuñar un aumento de la frase popularizada Eric Ries "viable mínima del producto (MVP)", que el Sr. Ammirati se refiere como el "producto impresionante mínimo (MAP)." Su punto es bien entregado en relación con un usuario de primera interacción con un producto, indicando, "... beneficios esenciales del producto no puede realizarse si se entrega a través de una experiencia horrible."

El Sr. Ammirati continuación, hace hincapié en la necesidad de que "el producto a ser impresionante incluso con características limitadas si realmente desea validar su hipótesis acerca de su éxito final."

En un espacio lleno de libros sobre temas similares, "La ciencia del crecimiento" cumple con su promesa de "mostrar el secreto de 'la ciencia del crecimiento' y cómo cultivarla en cualquier organización."

A través de una mezcla de ejemplos bien descritos y experiencias personales, este libro describe un proceso que se puede repetir en la mayoría de los sectores de actividad. Los empresarios, ejecutivos corporativos, gerentes de producto y por igual podrían beneficiarse de las lecciones del libro de Sean Ammirati.

viernes, 5 de septiembre de 2014

¿Por qué Silicon Valley seguirá guiando la economía?

Por qué Silicon Valley seguirá dominando la economía de la tecnología


Silicon Valley, en especial su ala de San Francisco, es más rico y poderoso que nunca

Sin embargo hay murmullos crecientes —puestos de manifiesto por el estancamiento de cifras de nuevos empleos y los precios de las viviendas en el área, protestas callejeras en San Francisco por los nuevos &"plutócratas&", la falta de productos nuevos que entusiasmen y una caída de inversiones en etapas iniciales— sobre que Silicon Valley finalmente tocó su techo y comenzó su descenso hacia la irrelevancia.
¿Descenso? Quizás. Silicon Valley siempre se caracterizó por un ciclo de auge y crisis de cuatro años, y la industria de electrónicos ya superó ese lapso sin crisis. Sin embargo, hay muy buenos motivos para creer que no sólo Silicon Valley regresará más grande y fuerte que nunca, sino que consolidará aún más su posición frente a todos sus contendientes como la capital mundial de la alta tecnología. Estas son las razones.
*El éxito genera éxito. Un importante reporte que está siendo preparado por el Proyecto de Competitividad e Innovación de Silicon Valley descubrió que el dominio de la región aún es decisivo y sigue creciendo. Mientras hace una década los varios centros tecnológicos de Estados Unidos mostraron un balance relativo para crear empresas de alto valor, Silicon Valley (incluyendo a San Francisco) ha dado un salto. El trabajador promedio de Silicon Valley generó 50% más de producción por año que el trabajador promedio en EE.UU. en 2012, según Collaborative Economics Inc.
*La larga ola. La mayoría de los observadores aprecian el ciclo de cuatro años de Silicon Valley, pero pocos han notado un ciclo mucho más largo, de 20 años, en el rubro de electrónicos. Durante casi dos décadas desde el comienzo del auge de las empresas punto com, Silicon Valley ha sido dominado por el software. Vivimos en la Era del Código, y con ella la gestalt del programador. Esta persona es joven, soltera, urbana, visionaria y utópica: el chico de fraternidad universitaria convertido en magnate. Pero esa era está llegando a su fin, conforme un ciclo de hardware comienza a consolidarse en la forma de relojes, dispositivos para llevar sobre el cuerpo, salud móvil, autos autónomos, drones, impresión 3-D y una revolución en los sensores, todos enlazados por la Internet de las Cosas.
Estamos ingresando a la Era de los Aparatos. Será encabezada por diseñadores: de más edad, con una familia, suburbanos y pragmáticos. Sin dudas esto resultará en un Silicon Valley más parecido a las eras de la calculadora o la PC en su estilo, su gente y sus actitudes, y un alejamiento de los titanes de las redes sociales, contra los que surgen cada vez más protestas.
Este cambio ya está en marcha. El epicentro de Silicon Valley siempre se ha desplazado. Con el regreso al hardware, ahora está preparando un regreso a donde comenzó hace 75 años: a Mountain View ( Google GOOGL +0.99% Glass, vehículos autónomos), Palo Alto (Tesla, Theranos) y Cupertino (la nueva sede central de Apple). Incluso los 49ers de San Francisco se mudaron a un estadio de alta tecnología en Santa Clara. De regreso al Valley tradicional, y a las actitudes tradicionales.
*Población. Aunque Silicon Valley es una de las comunidades más multiculturales en Estados Unidos, la composición de esas comunidades es aún más importante. Es dos veces más probable que el inmigrante del Valley tenga un título universitario frente al inmigrante promedio en EE.UU. A diferencia de los otros centros tecnológicos, el influjo neto de estos inmigrantes sigue aumentando con rapidez. Si el pasado es un precedente, esto acelerará la creación de nuevas empresas y la solicitud de patentes (6% de todas las patentes solicitadas en EE.UU. incluyen el nombre de al menos un trabajador del Valley). Hay buenas posibilidades de que en una década la &"cara&" de Silicon Valley sea una presidenta ejecutiva india.
*Infraestructura. Silicon Valley aún no tiene par en ingenieros experimentados, incubadoras, reclutadores, contratistas y empresas de servicios para dar apoyo a los emprendedores. Las grandes universidades —Stanford, Berkeley, Santa Clara, UCSF Medical— sólo se volvieron más grandes, y son apoyadas por muchas otras universidades e instituciones educativas.
Quizás sea más interesante para el futuro que los últimos años han sido testigos de la llegada de laboratorios de investigación y diseño de empresas como BMWBMW.XE -0.02% y Mercedes, Samsung y Nissan, e incluso General Electric.GE -0.56% Es más, este sigue siendo el centro mundial de la inversión de riesgo: las inversiones de riesgo totales en Silicon Valley (incluyendo a San Francisco) este año superaron al resto de EE.UU. combinado, según la firma de análisis de inversión CB Insights.
Silicon Valley aún enfrenta desafíos serios. Aunque quizás no sucumba a sus problemas de tráfico y costo de vida, quizás pronto se vea obligado a expandirse. La industria tecnológica de San Francisco ya está cruzando la Bahía hacia Oakland, mientras el resto del Valle se extiende hacia la Bahía Este y más allá, hacia las ciudades de Tracy (donde Amazon estableció una planta) y Stockton, en el Valle de San Joaquín. Es una muestra de lo que vendrá.
Es posible imaginar un &"Gran Silicon Valley&" en 2050 que se extienda sobre un área mucho mayor. Pero eso requerirá un profundo replanteo del sistema de transporte del estado de California.
El Proyecto de Competitividad e Innovación descubrió un enorme agujero en Silicon Valley: el dinero para becas de investigación, donde el Valley está rezagado frente a casi todas las demás regiones tecnológicas. Silicon Valley siempre evitó el dinero del gobierno, habitualmente por un buen motivo. Pero incluso eso debería tener que cambiar ya que no puede esperar que los grandes proyectos de ciencia respaldados por el gobierno, que ahora se desarrollan en otros lugares, impulsen su futuro. Necesita esas iniciativas, y el talento que atraen, más cerca suyo. Los condados en la periferia de Silicon Valley podrían ser los lugares perfectos para esos grandes laboratorios y centros de investigación.
Finalmente, Silicon Valley necesita un &"alcalde&" de facto, la persona que represente sus amplios intereses, y no los de una empresa, industria o grupo en particular. Listo para para reinventarse a sí mismo una vez más y volver a liderar la economía global, Silicon Valley necesita otro líder para enfrentar los grandes cambios por venir.
Malone escribe a menudo para The Wall Street Journal sobre tecnología. Su libro más reciente es &"The Intel Trinity: How Robert Noyce, Gordon Moore and Andrew Grove Built the World’s Most Important Company&" (HarperBusiness, 2014).
Fuente: lat.wsj.com

Economía Para Todos

jueves, 7 de noviembre de 2013

Club Unicornio: Emprendimientos de mil millones de dólares

Welcome To The Unicorn Club: Learning From Billion-Dollar Startups


TechCrunch

Welcome To The Unicorn Club: Learning From Billion-Dollar Startups
Editor’s note: Aileen Lee is founder of Cowboy Ventures, a seed-stage fund that backs entrepreneurs reinventing work and personal life through software. Previously, she joined Kleiner Perkins Caufield & Byers in 1999 and was also founding CEO of digital media company RMG Networks, backed by KPCB. Follow her on Twitter @aileenlee
Many entrepreneurs, and the venture investors who back them, seek to build billion-dollar companies.
Why do investors seem to care about “billion dollar exits”? Historically, top venture funds have driven returns from their ownership in just a few companies in a given fund of many companies. Plus, traditional venture funds have grown in size, requiring larger “exits” to deliver acceptable returns. For example – to return just the initial capital of a $400 million venture fund, that might mean needing to own 20 percent of two different $1 billion companies, or 20 percent of a $2 billion company when the company is acquired or goes public.
So, we wondered, as we’re a year into our new fund (which doesn’t need to back billion-dollar companies to succeed, but hey, we like to learn): how likely is it for a startup to achieve a billion-dollar valuation? Is there anything we can learn from the mega hits of the past decade, likeFacebookLinkedIn and Workday?
To answer these questions, the Cowboy Ventures team built a dataset of U.S.-based tech companies started since January 2003 and most recently valued at $1 billion by private or public markets. We call it our “Learning Project,” and it’s ongoing.
With big caveats that 1) our data is based on publicly available sources, such as CrunchBase, LinkedIn, and Wikipedia, and 2) it is based on a snapshot in time, which has definite limitations, here is a summary of what we’ve learned, with more explanation following this list*:
Learnings to date about the “Unicorn Club”:
  1. We found 39 companies belong to what we call the “Unicorn Club” (by our definition, U.S.-based software companies started since 2003 and valued at over $1 billion by public or private market investors). That’s about .07 percent of venture-backed consumer and enterprise software startups.
  1. On average, four unicorns were born per year in the past decade, with Facebook being the breakout “super-unicorn” (worth >$100 billion). In each recent decade, 1-3 super unicorns have been born.
  1. Consumer-oriented unicorns have been more plentiful and created more value in aggregate, even excluding Facebook.
  1. But enterprise-oriented unicorns have become worth more on average, and raised much less private capital, delivering a higher return on private investment.
  1. Companies fall somewhat evenly into four major business models: consumer e-commerce, consumer audience, software-as-a-service, and enterprise software.
  1. It has taken seven-plus years on average before a “liquidity event” for companies, not including the third of our list that is still private. It’s a long journey beyond vesting periods.
  1. Inexperienced, twentysomething founders were an outlier. Companies with well-educated, thirtysomething co-founders who have history together have built the most successes
  1. The “big pivot” after starting with a different initial product is an outlier.
  1. San Francisco (not the Valley) now reigns as the home of unicorns.
  1. There is very little diversity among founders in the Unicorn Club.
Some deeper explanation and additional findings:

1) Welcome to the exclusive, 39-member Unicorn Club: the Top .07%


  • Figuring out the denominator to unicorn probability is hard. The NVCA says over 16,000 internet-related companies were funded since 2003; Mattermark says 12,291 in the past 2 years; and theCVR says 10-15,000 software companies are seeded each year. So let’s say 60,000 software and internet companies were funded in the past decade. That would mean .07 percent have become unicorns. Or, 1 in every 1,538.
  • Takeaway: it’s really hard, and highly unlikely, to build or invest in a billion dollar company. The tech news may make it seem like there’s a winner being born every minute — but the reality is,the odds are somewhere between catching a foul ball at an MLB game and being struck by lightning in one’s lifetime. Or, more than 100x harder than getting into Stanford.
  • That said, these 39 companies have shown it’s possible  – and they do offer a lot that can be learned from.

2) Facebook is the super-unicorn of the decade (by our definition, worth >$100B). Every major technology wave has given birth to one or more super-unicorns

  • Facebook is what we call a super-unicorn: it accounts for almost half of the $260 billion aggregate value of the companies on our list. (As such, we excluded them from analysis related to valuations or capital raised)
  • Prior decades have also given birth to tech super-unicorns. The 1990s gave birth to Google, currently worth nearly 3x Facebook; and Amazon, worth ~ $160 billion. The 1980’s: Cisco. The 1970s: Apple (currently the most valuable company in the world), Oracle, and Microsoft; and Intel was founded in the 1960s.
  • What do super-unicorns have in common? The 1960s marked the era of the semiconductor; the 1970s, the birth of the personal computer; the 1980s, a new networked world; the 1990s, the dawn of the modern Internet; and in the 2000s, new social networks were built.
  • Each major wave of technology innovation has given rise to one or more super-unicorns — companies that could change your life to work at or invest in, if you’re not lucky/genius enough to be a co-founder. This leads to more questions. What is the fundamental technology change of the next decade (mobile?); and will a new super-unicorn or two be born as a result?
Only four unicorns are born per year on average. But not all years have been as fertile:
  • The 38 companies on our list outside of Facebook are worth about $3.6 billion on average. This might feel like a letdown after reading about super-unicorns, but remember, startups generally start as ideas that most people think are crazy, dumb, or not that important (remember when people ridiculed Twitter as the place to share that you were eating a ham sandwich?). Only after many years and extraordinary good fortune, a few grow into unicorns, which is extremely rare and pretty awesome.
  • Unicorn founding was not front-end-loaded in the past decade. The best year was 2007 (8 of 36); the fewest were born in 2003, 2005 and 2008 (as far as we know today; there are none yet founded in 2011 to today). From this snapshot in time, it’s not clear whether the number of unicorns per year is changing over time.
  • It would be interesting to plot the trajectory of unicorns over time  — which become more valuable and which fall off the list — and to understand the list of potential unicorns-in-waiting, currently valued at <$1 billion. Hopefully for a future post.


3) Consumer-oriented companies have created the majority of value in the past decade

Venture investing into early-stage consumer tech companies has cooled significantly in the past year. But it’s worth realizing that:
  • Three consumer companies — Facebook, Google and Amazon — have been the super-unicorns of the past two decades.
  • There are more consumer-oriented than enterprise unicorns, and they have generated more than 60 percent of the aggregate value on our list outside of Facebook.
  • Our list likely seriously underestimates the value of consumer tech. Of the 14 still-private companies on our list, 85 percent are consumer-oriented (e.g.TwitterPinterestZulily). They should see a significant step up in value if/when a liquidity event occurs, increasing the aggregate value of the consumer unicorns.

4) Enterprise-oriented unicorns have delivered more value per private dollar invested

  • One reason why enterprise ventures seem so attractive right now: the average enterprise-oriented unicorn on our list raised on average $138 million in the private markets – and they are currently worth 26x their private capitalraised to date.
  • The companies that seriously improved this metric are NiciraSplunk andTableau, who all raised <$50 million in private markets and are worth $3.8 billion today on average.
  • Plus Workday, ServiceNow and FireEye who are currently worth >60x the private capital raised. Wow.
  • Contrary to conventional VC wisdom about enterprise companies requiring more early-stage capital, we didn’t see a difference in Series A dollars raised by enterprise versus consumer unicorns.
Consumer companies have delivered less value per private dollar invested
  • The consumer unicorns have raised $348 million on average, ~2.5x more private capital than enterprise unicorns; and they are worth about 11x the private capital raised.
  • Companies who raised lots of private money relative to their most recent valuation are FabGilt GroupeGrouponHomeAway and Zynga.
  • It may just take more capital to build a super successful consumer tech company in a “get big fast” world; and/or, founders and investors are guilty of over-capitalizing consumer Internet companies at too-high valuations in the past decade, driving lower returns for consumer tech investors.

5) Four primary business models drive the value and network effects help

  • We categorized companies into four business models, which share fairly equally in driving value in aggregate: 1) E-commerce: the consumer pays for goods or services (11 companies); 2) Audience: free for consumers, monetization through ads or leads (11 companies); 3) SaaS:Users pay (often via a “freemium” model) for cloud-based software (7 companies); and 4) Enterprise: Companies pay for larger scale software (10 companies).
  • None of the e-commerce companies on our list hold physical inventory as a key part of their business models. Despite that, e-commerce companies raised the most private dollars on average — delivering the lowest valuations vs capital raised, and likely driving the recent cool down in e-commerce investing.
  • Only four of the 38 companies are mobile-first. Not surprising, the iPhone was only launched in 2007 and the first Android device in 2008.
  • Another characteristic almost half of the companies on our list share: network effects. Network effects in the social age can help companies scale users dramatically, seriously reducing capital requirements (YouTube and Instagram) and/or increasing valuations quickly (Facebook).

6) It’s a marathon, not a sprint: it takes 7+ years to get to a “liquidity event”

  • It took seven years on average for 24 companies on our list to go public or be acquired, excluding extreme outliers YouTube and Instagram, both of which were acquired for over $1 billion in about two years since founding.
  • 14 of the companies on our list are still private, which will increase the average time to liquidity to eight-plus years.
  • Not surprisingly, enterprise companies tend to take about a year longer to see a liquidity event than consumer companies
  • Of the nine companies that have been acquired, the average valuation was $1.3 billion; likely a valuation sweet spot for acquirers to take them off the market before they become less affordable

7) The twentysomething inexperienced founder is an outlier, not the norm

  • The companies on our list were generally not founded by inexperienced, first-time entrepreneurs. The average age on our list of founders at founding is 34. Yes, the founders of Facebook were on average 20 when it was founded; but the founders of LinkedIn, the second-most valuable company on our list, were 36 on average; and the founders of Workday, the third-most valuable, were 52 years old on average.
  • Audience-driven companies like Facebook, Twitter and Tumblr have the youngest founders, with an average age at founding of 30 (seemingly imminent unicorn Snapchat will lower this average). SaaS and e-commerce founders averaged aged 35 and 36; enterprise software founders were 38 on average at founding.
Co-founders with years of history together have driven the most successes
  • A supermajority (35) of the unicorns on our list have chosen to blaze trails with more than one founder — with three co-founders on average. The role of co-founders varies from Co-CEOs (Workday) to technical co-founders who live in a different country (Fab.com). Looking at co-founder equity stakes at liquidity might be another interesting way to look at founder status, which we have not done.
  • Ninety percent of co-founding teams comprise people who have years of history together, either from school or work; 60 percent have co-founders who worked together; and 46 percent who went to school together.
  • Teams that worked together have driven more value per company than those who went to school together.
  • Only four teams of co-founders didn’t have common work or school experience, but all had a common thread. Two were known and introduced by the investors at founding/funding; one team was friends in the local tech scene; and one team met while working on similar ideas.
  • That said, the four unicorns with sole founders (ServiceNow, FireEye, RetailMeNot, Tumblr — half enterprise, half consumer) have all had liquidity events and are worth more on average than companies with co-founders.

Most founding CEOs scale their companies for the long run. But not all founders stay for the whole journey
  • An impressive 76 percent of founding CEOs led their companies to a liquidity event, and 69 percent are still CEO of their company, many as public company CEOs. This says a lot about these founders in terms of their long-term vision, commitment and their capability to scale from almost nothing in terms of money, product, and people, to their current unicorn company status.
  • That said, 31 percent of companies did make a CEO change along the way; and those companies are worth more on average. One reason: about 40 percent of the enterprise companies made a CEO change (versus 25 percent of consumer companies). And all CEO changes prior to a liquidity event were at enterprise companies that added seasoned, “brand-name” leaders to their helms prior to being bought or going public.
  • Only half of the companies on our list show all original founders still working in the company. On average, 2 of 3 co-founders remain.
Not their first rodeo: founders have lots of startup and tech experience
  • Nearly 80 percent of unicorns had at least one co-founder who had previously founded a company of some sort. Some founders showed their entrepreneurial DNA as early as junior high. The list of prior startups co-founded spans failure and success; and from tutoring and bagel delivery companies, to PayPal and Twitter.
  • All but two companies had founders with prior experience working in tech/software; and only three of 38 did not have a technical co-founder on board (HomeAway and RetailMeNot, founded as industry rollups; and Box, founded in college).
  • The majority of founding CEOs, and 90 percent of enterprise CEOs have technical degrees from college.
An educational barbell: many “top 10 school grads” and dropouts
  • The vast majority of all co-founders went to selective universities (e.g. Cornell, Northwestern, University of Illinois).  And more than two-thirds of our list has at least one co-founder who graduated from a “top 10 school.”
  • Stanford leads the roster with an impressive one-third of the companies having at least one Stanford grad as a co-founder. Former Harvard students are co-founders in eight of 38 unicorns; Berkeley in five; and MIT grads in four of the 38 companies.
  • Conversely, eight companies had a college dropout as a co-founder. And three out of five of the most valuable companies (Facebook, Twitter and ServiceNow) on our list were or are led by college dropouts, although dropouts with tech-company experience, with the exception of Facebook.

8) The “big pivot” is also an outlier, especially for enterprise companies

  • Few companies are the result of a successful pivot. Nearly 90 percent of companies are working on their original product vision.
  • The four “pivots” after a different initial product were all in consumer companies (Groupon, Instagram, Pinterest and Fab).

9) The Bay Area, especially San Francisco, is home to the vast majority of unicorns

  • Probably not a surprise, but 27 of 39 on our list are based in the Bay Area. What might be a surprise is how much the center of gravity has moved to San Francisco from the Valley: 15 unicorns are headquartered in San Francisco; 11 are on the Peninsula; and one is in the East Bay.
  • New York City has emerged as the No. 2 city for unicorns, home to three. Seattle (2) and Austin (2) are the next most-concentrated cities for unicorns.

10) There is A LOT of opportunity to bring diversity into the founders club

  • Only two companies have female co-founders: Gilt Groupe and Fab, both consumer e-commerce. And no unicorns have female founding CEOs.
  • While there is some ethnic diversity on founding teams, the diversity of founders in the unicorn club is far from the diversity of college grads with relevant technical degrees. Feels like some important records to break.
So, what does this all mean?
For those aspiring to found, work at, or invest in future unicorns, it still means anything is possible. All these companies are technically outliers: they are the top .07 percent. As such, we don’t think this provides a unicorn-hunting investor checklist, i.e. 34-year-old male ex-PayPal-ers with Stanford degrees, one who founded a software startup in junior high, where should we sign?
That said, it surprised us how much the unicorn club has in common. In some cases, 90 percent in common, such as enterprise founder/CEOs with technical degrees; companies with 2+ co-founders who worked or went to school together; companies whose founders had prior tech startup experience; and whose founders were in their 30s or older.
It is also good to be reminded that most successful startups take a lot of time and commitment to break out. While vesting periods are usually four years, the most valuable startups will take at least eight years before a “liquidity event,” and most founders and CEOs will stay in their companies beyond such an event. Unicorns also tend to raise a lot of capital over time — way beyond the Series A. So these founding teams had the ability to share a compelling company vision over many years and rounds of fundraising, plus scale themselves and recruit teams, despite economic ups and downs.
We tip our hats to these 39 companies that have delighted millions of customers with fantastic products and generated so much value in just 10 years despite a crowded startup environment. They are the lucky/genius few of the Unicorn Club – and we look forward to learning about (and meeting) those who will break into this elite group next.
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*  Many thanks to the Cowboy crew who helped with this, including Noah LichtensteinMeg HeLauren KolodnyKim Stromberg and Jennifer Gee.
** Our data is based on information in news articles, company websites, CrunchBase, LinkedIn, Wikipedia and public market data. It is also based on a snapshot in time (as of 10/31/13) and current market conditions, which are currently fairly “hot.”
*** Yes we know the term “unicorn” is not perfect – unicorns apparently don’t exist, and these companies do – but we like the term because to us, it means something extremely rare, and magical
**** By our rough definition, consumer companies = e-commerce + audience business models; enterprise companies = Software as a Service + Enterprise business models
***** Our definition of “top 10 school” is according to US News & World Report.
[Illustration: Bryce Durbin]

lunes, 30 de septiembre de 2013

La revolución de las tablets indias

India’s tablet revolution will change the world sooner than you think
By Vivek Wadhwa
Vivek Wadhwa is the vice president of innovation and research at Singularity University, and fellow at Arthur and Toni Rembe Rock Center for Corporate Governance at Stanford University.

Just a swipe away from a revolution. Reuters/Parivartan Sharma
This originally appeared on LinkedIn. You can follow Vivek Wadhwa here
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I wrote this article for Times of India. It is India-focused, but the same lessons apply everywhere. Cheap tablets, connectivity, and social media have already fomented revolutions in Middle East. They are causing China to have a harder time controlling its restive population and allowing the world’s children to rise above the fears and biases of their parents. They will open up new technology possibilities and shake up industries—even in the developed world. Wait and see how innovation from the East soon reaches the West.
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Watching the news from India, one could easily conclude that the country has become more corrupt and its men have become more violent. Sadly, corruption and abuse of women aren’t new to India. Corruption is a legacy of the British Raj. Women all over the world are abused. What has changed is the ability of India’s normally docile middle-class and its youth to speak up and demand change. That is what technology has made possible.
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The technologies that allowed people to shame the government were cell phones, TV and social media. There is much more to come.
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As the poor gain access to the internet through smartphones and tablets and the middle-class gets better connectivity, the country will witness nothing less than a revolution in commerce, education and social values.
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Imagine villagers recording videos of bribe takers and uploading these to sites such as Ipaidabribe.com and documenting the abuses they suffer at the hands of the police. Or students recording the attendance of teachers—who don’t show up for work—on public websites. Or direct payments of subsidies and social benefits to the poor via PayPal-style banking accounts, thereby cutting out corrupt government officials.
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All of this is going to become possible within the next two to three years as the cost of tablet computers drops to the Rs 1,500 ($25) level and internet access becomes cheaper and more widely available. (In India, cell and mobile data plans cost less than 1/10 as in the US—they are affordable by the masses.)
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The Indian government inadvertently triggered this tablet computing revolution by sanctioning the Aakash tablet. It only ordered 100,000 units and spent less than it would have on a junket of ministers going abroad. But this project got so much attention that it ended up lowering the expected base price of tablet technologies from the $400-$500 that is common in the West to $35-$50. This would not have happened on its own. Note the price of the Apple iPhone 5S. The cheapest models cost over $500 without a contract.
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The Aakash tablet has been mired in Indian politics but is achieving big success in its new incarnations. The manufacturer, Datawind, has become a leading tablet supplier in India and abroad. These have also been tested in American schools by disadvantaged communities and were proved to be viable. Americans can’t wait for these tablets to become available to them.
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The uses of tablet technology will go far beyond giving the poor a voice. As India gets connected by fiber optic cable and mobile carriers expand data coverage, cheap tablets will find thousands of new uses.
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To start with, these will trigger an e-commerce revolution that will make the US dotcom boom look lame. Companies such as GoVasool.com will become India’s Amazon.com and there will be many of them. Apps such as LocalCircles.com will connect neighborhoods and communities all over India, providing them with a way of solving common problems.
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There will be a revolution in education as courseware from all over the world becomes available to the poorest of the poor, new apps are developed that teach specific skills, and children all over India start connecting—and learning—from each other. Technology will make it possible for any poor child to gain the same knowledge as the privileged anywhere in India and across the world.
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There will also be rapid changes in the media and entertainment industries as tablet devices become ubiquitous. Note how the media industry has changed in the US—from print to online. The same will likely happen in India.
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Cheap tablets connected to cheap sensors also open up opportunities to revolutionize health care and farming. And there will be apps for practically every task that requires the management of information. Imagine the neighborhood fruit-seller emailing his customers photographs of his produce and accepting orders over the internet. Or booking rickshaws via apps like the US-based Uber which does taxi rides. I won’t be surprised if the poor figure out better uses of the technology than the rich do.
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All of this seems like wishful thinking, but note how mobile phone usage grew exponentially in India— going from zero to 900 million devices within a decade. Tablets and internet usage will grow even faster and will have an even greater impact.

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