Stanford University
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AngelPad just wrapped the 12th run of its three months long New York City startup accelerator. For the second time, the program didn’t culminate in a demo day; rather, the 19 participating startups were given pre-arranged one-on-one meetings with venture capital investors late last week.
AngelPad co-founders Thomas Korte and Carine Magescas did away with the demo day tradition last year after nearly a decade operating AngelPad, which is responsible for mentoring startups including Postmates, Twitter-acquired Mopub, Pipedrive, Periscope Data, Zum and DroneDeploy.
“Demo days are great ways for accelerators to expose a large number of companies to a lot of investors, but we don’t think it is the most productive way,” Korte told TechCrunch last year. Competing accelerator Y Combinator has purportedly considered their eliminating demo day as well, though sources close to YC deny this. The firm cut its investor day, a similar opportunity for investors to schedule meetings with individual startups, “after analyzing its effectiveness” last year.
Feedback to AngelPad’s choice to forego demo day has been positive, Korte tells TechCrunch, with startup CEOs breathing a sigh of relief they aren’t forced to pitch to a large crowd with no promise of investment.
AngelPad invests $120,000 in each of its companies. Here’s a closer look at its latest batch:
LotSpot is a parking management tool for universities, parks and malls. The company installs cameras at the entrances and exits of customer parking lots and autonomously tracks lot occupancy as cars enter and exit. The LotSpot founders are Stanford University Innovation Fellows with backgrounds in engineering and sales.
Twic is a discretionary benefits management platform that helps businesses offer wellness benefits at a lower cost. The tool assists human resources professionals in selecting vendors, monitoring benefits usage and managing reimbursements with a digital wallet. Twic customers include Twitch and Oscar. The company’s current ARR is $265,000.
Zeal is an enterprise contract automation platform that helps sales teams manage custom routine agreements, like NDAs, independently and efficiently. The startup is currently working on test implementations with large companies. The founders are attorneys and management consultants who previously led sales and legal strategy at AXIOM.
ChargingLedger works with energy grid operators to optimize electric grid usage with smart charging technology for electric vehicles. The company’s paid pilot program is launching this month.
Piio, focused on SEO, helps companies boost their web presence with technology that optimizes website speed and performance based on user behavior, location, device, platform and connection speed. Currently, Piio is working with JomaShop and e-commerce retailers. Its ARR is $90,000.
Duality.ai is a QA platform for autonomous vehicles. It leverages human testers and simulation environments to accelerate time-to-market for AV sidewalk, cars and trucks. Its founders include engineers and designers from Caterpillar, Pixar and Apple. Its two first beta customers generated an ARR of $100,000.

COMUNITYmade partners with local manufacturers to sell their own brand of premium sneakers made in Los Angeles. The company has attracted brands, including Adidas, for collaborations. The founders are alums of Asics and Toms.
Spacey is a millennial-focused art-buying platform. The company sells limited-edition collections of fine-art prints at affordable prices and offers offline membership experiences, as well as a program for brand ambassadors with large social followings.
LegalPassage saves lawyers time with business process automation software for law firms. The company focuses on litigation, specifically class action and personal injury. The founder is a litigation attorney, former adjunct professor of law at UC Hastings and a past chair of the Family Law Section of the Bar Association of San Francisco.
Revetize helps local businesses boost revenue by managing reputation, encouraging referrals and increasing repeat business. The startup, headquartered in Utah, has an ARR of $220,000.
House of gigs helps people find short-term work near them, offering “employee-like” services and benefits to those freelancers and gig workers. The startup has 90,000 members. The San Francisco and Berlin-based founders previously worked together at a VC-backed HR startup.
MetaRouter provides fast, flexible and secure data routing. The cloud-based on-prem platform has reached an ARR of $250,000, with “two Fortune 500 retailers.”
RamenHero offers a meal kit service for authentic gourmet ramen
RamenHero offers a meal kit for authentic gourmet ramen. The startup launched in 2018 and has roughly 1,700 customers and $125,000 in revenue. The startup’s founder, a serial entrepreneur, graduated from a culinary ramen school in Japan.
ByteRyde is insurance for autonomous vehicles, specifically Tesla Model 3s, taking into account the safety feature of self-driving cars.
Foresite.ai provides commercial real estate investors a real-time platform for data analysis and visualization of location-based trends.
PieSlice is a blockchain-based equity issuance and management platform that helps create fully compliant digital tokens that represent equity in a company. The founder is a former trader and stockbroker turned professional poker player.
Aitivity is a security hardware company that is developing a scalable blockchain algorithm for enterprises, specifically for IoT usage.
SmartAlto, a SaaS platform with $190,000 ARR, nurtures real estate leads. The company pairs agents with digital assistants to help the agents show more homes.
FunnelFox works with sales teams to help them spend less time on customer research, pipeline management and reporting. The AI-enabled platform has reached an ARR of $75,000 with customers including Botify and Paddle.
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Few issues divide the tech community quite like privacy. Much of Silicon Valley’s wealth has been built on data-driven advertising platforms, and yet, there remain constant concerns about the invasiveness of those platforms.
Such concerns have intensified in just the last few weeks as France’s privacy regulator placed a record fine on Google under Europe’s General Data Protection Regulation (GDPR) rules which the company now plans to appeal. Yet with global platform usage and service sales continuing to tick up, we asked a panel of eight privacy experts: “Has anything fundamentally changed around privacy in tech in 2019? What is the state of privacy and has the outlook changed?”
This week’s participants include:
TechCrunch is experimenting with new content forms. Consider this a recurring venue for debate, where leading experts – with a diverse range of vantage points and opinions – provide us with thoughts on some of the biggest issues currently in tech, startups and venture. If you have any feedback, please reach out: Arman.Tabatabai@techcrunch.com.
Albert Gidari is the Consulting Director of Privacy at the Stanford Center for Internet and Society. He was a partner for over 20 years at Perkins Coie LLP, achieving a top-ranking in privacy law by Chambers, before retiring to consult with CIS on its privacy program. He negotiated the first-ever “privacy by design” consent decree with the Federal Trade Commission. A recognized expert on electronic surveillance law, he brought the first public lawsuit before the Foreign Intelligence Surveillance Court, seeking the right of providers to disclose the volume of national security demands received and the number of affected user accounts, ultimately resulting in greater public disclosure of such requests.
There is no doubt that the privacy environment changed in 2018 with the passage of California’s Consumer Privacy Act (CCPA), implementation of the European Union’s General Data Protection Regulation (GDPR), and new privacy laws enacted around the globe.
“While privacy regulation seeks to make tech companies betters stewards of the data they collect and their practices more transparent, in the end, it is a deception to think that users will have more “privacy.””
For one thing, large tech companies have grown huge privacy compliance organizations to meet their new regulatory obligations. For another, the major platforms now are lobbying for passage of a federal privacy law in the U.S. This is not surprising after a year of privacy miscues, breaches and negative privacy news. But does all of this mean a fundamental change is in store for privacy? I think not.
The fundamental model sustaining the Internet is based upon the exchange of user data for free service. As long as advertising dollars drive the growth of the Internet, regulation simply will tinker around the edges, setting sideboards to dictate the terms of the exchange. The tech companies may be more accountable for how they handle data and to whom they disclose it, but the fact is that data will continue to be collected from all manner of people, places and things.
Indeed, if the past year has shown anything it is that two rules are fundamental: (1) everything that can be connected to the Internet will be connected; and (2) everything that can be collected, will be collected, analyzed, used and monetized. It is inexorable.
While privacy regulation seeks to make tech companies betters stewards of the data they collect and their practices more transparent, in the end, it is a deception to think that users will have more “privacy.” No one even knows what “more privacy” means. If it means that users will have more control over the data they share, that is laudable but not achievable in a world where people have no idea how many times or with whom they have shared their information already. Can you name all the places over your lifetime where you provided your SSN and other identifying information? And given that the largest data collector (and likely least secure) is government, what does control really mean?
All this is not to say that privacy regulation is futile. But it is to recognize that nothing proposed today will result in a fundamental shift in privacy policy or provide a panacea of consumer protection. Better privacy hygiene and more accountability on the part of tech companies is a good thing, but it doesn’t solve the privacy paradox that those same users who want more privacy broadly share their information with others who are less trustworthy on social media (ask Jeff Bezos), or that the government hoovers up data at rate that makes tech companies look like pikers (visit a smart city near you).
Many years ago, I used to practice environmental law. I watched companies strive to comply with new laws intended to control pollution by creating compliance infrastructures and teams aimed at preventing, detecting and deterring violations. Today, I see the same thing at the large tech companies – hundreds of employees have been hired to do “privacy” compliance. The language is the same too: cradle to grave privacy documentation of data flows for a product or service; audits and assessments of privacy practices; data mapping; sustainable privacy practices. In short, privacy has become corporatized and industrialized.
True, we have cleaner air and cleaner water as a result of environmental law, but we also have made it lawful and built businesses around acceptable levels of pollution. Companies still lawfully dump arsenic in the water and belch volatile organic compounds in the air. And we still get environmental catastrophes. So don’t expect today’s “Clean Privacy Law” to eliminate data breaches or profiling or abuses.
The privacy world is complicated and few people truly understand the number and variety of companies involved in data collection and processing, and none of them are in Congress. The power to fundamentally change the privacy equation is in the hands of the people who use the technology (or choose not to) and in the hands of those who design it, and maybe that’s where it should be.
Gabriel Weinberg is the Founder and CEO of privacy-focused search engine DuckDuckGo.
Coming into 2019, interest in privacy solutions is truly mainstream. There are signs of this everywhere (media, politics, books, etc.) and also in DuckDuckGo’s growth, which has never been faster. With solid majorities now seeking out private alternatives and other ways to be tracked less online, we expect governments to continue to step up their regulatory scrutiny and for privacy companies like DuckDuckGo to continue to help more people take back their privacy.
“Consumers don’t necessarily feel they have anything to hide – but they just don’t want corporations to profit off their personal information, or be manipulated, or unfairly treated through misuse of that information.”
We’re also seeing companies take action beyond mere regulatory compliance, reflecting this new majority will of the people and its tangible effect on the market. Just this month we’ve seen Apple’s Tim Cook call for stronger privacy regulation and the New York Times report strong ad revenue in Europe after stopping the use of ad exchanges and behavioral targeting.
At its core, this groundswell is driven by the negative effects that stem from the surveillance business model. The percentage of people who have noticed ads following them around the Internet, or who have had their data exposed in a breach, or who have had a family member or friend experience some kind of credit card fraud or identity theft issue, reached a boiling point in 2018. On top of that, people learned of the extent to which the big platforms like Google and Facebook that collect the most data are used to propagate misinformation, discrimination, and polarization. Consumers don’t necessarily feel they have anything to hide – but they just don’t want corporations to profit off their personal information, or be manipulated, or unfairly treated through misuse of that information. Fortunately, there are alternatives to the surveillance business model and more companies are setting a new standard of trust online by showcasing alternative models.
Melika Carroll is Senior Vice President, Global Government Affairs at Internet Association, which represents over 45 of the world’s leading internet companies, including Google, Facebook, Amazon, Twitter, Uber, Airbnb and others.
We support a modern, national privacy law that provides people meaningful control over the data they provide to companies so they can make the most informed choices about how that data is used, seen, and shared.
“Any national privacy framework should provide the same protections for people’s data across industries, regardless of whether it is gathered offline or online.”
Internet companies believe all Americans should have the ability to access, correct, delete, and download the data they provide to companies.
Americans will benefit most from a federal approach to privacy – as opposed to a patchwork of state laws – that protects their privacy regardless of where they live. If someone in New York is video chatting with their grandmother in Florida, they should both benefit from the same privacy protections.
It’s also important to consider that all companies – both online and offline – use and collect data. Any national privacy framework should provide the same protections for people’s data across industries, regardless of whether it is gathered offline or online.
Two other important pieces of any federal privacy law include user expectations and the context in which data is shared with third parties. Expectations may vary based on a person’s relationship with a company, the service they expect to receive, and the sensitivity of the data they’re sharing. For example, you expect a car rental company to be able to track the location of the rented vehicle that doesn’t get returned. You don’t expect the car rental company to track your real-time location and sell that data to the highest bidder. Additionally, the same piece of data can have different sensitivities depending on the context in which it’s used or shared. For example, your name on a business card may not be as sensitive as your name on the sign in sheet at an addiction support group meeting.
This is a unique time in Washington as there is bipartisan support in both chambers of Congress as well as in the administration for a federal privacy law. Our industry is committed to working with policymakers and other stakeholders to find an American approach to privacy that protects individuals’ privacy and allows companies to innovate and develop products people love.
Dr. Johnny Ryan FRHistS is Chief Policy & Industry Relations Officer at Brave. His previous roles include Head of Ecosystem at PageFair, and Chief Innovation Officer of The Irish Times. He has a PhD from the University of Cambridge, and is a Fellow of the Royal Historical Society.
Tech companies will probably have to adapt to two privacy trends.
“As lawmakers and regulators in Europe and in the United States start to think of “purpose specification” as a tool for anti-trust enforcement, tech giants should beware.”
First, the GDPR is emerging as a de facto international standard.
In the coming years, the application of GDPR-like laws for commercial use of consumers’ personal data in the EU, Britain (post-EU), Japan, India, Brazil, South Korea, Malaysia, Argentina, and China will bring more than half of global GDP under a similar standard.
Whether this emerging standard helps or harms United States firms will be determined by whether the United States enacts and actively enforces robust federal privacy laws. Unless there is a federal GDPR-like law in the United States, there may be a degree of friction and the potential of isolation for United States companies.
However, there is an opportunity in this trend. The United States can assume the global lead by doing two things. First, enact a federal law that borrows from the GDPR, including a comprehensive definition of “personal data”, and robust “purpose specification”. Second, invest in world-leading regulation that pursues test cases, and defines practical standards. Cutting edge enforcement of common principles-based standards is de facto leadership.
Second, privacy and antitrust law are moving closer to each other, and might squeeze big tech companies very tightly indeed.
Big tech companies “cross-use” user data from one part of their business to prop up others. The result is that a company can leverage all the personal information accumulated from its users in one line of business, and for one purpose, to dominate other lines of business too.
This is likely to have anti-competitive effects. Rather than competing on the merits, the company can enjoy the unfair advantage of massive network effects even though it may be starting from scratch in a new line of business. This stifles competition and hurts innovation and consumer choice.
Antitrust authorities in other jurisdictions have addressed this. In 2015, the Belgian National Lottery was fined for re-using personal information acquired through its monopoly for a different, and incompatible, line of business.
As lawmakers and regulators in Europe and in the United States start to think of “purpose specification” as a tool for anti-trust enforcement, tech giants should beware.
John Miller is the VP for Global Policy and Law at the Information Technology Industry Council (ITI), a D.C. based advocate group for the high tech sector. Miller leads ITI’s work on cybersecurity, privacy, surveillance, and other technology and digital policy issues.
Data has long been the lifeblood of innovation. And protecting that data remains a priority for individuals, companies and governments alike. However, as times change and innovation progresses at a rapid rate, it’s clear the laws protecting consumers’ data and privacy must evolve as well.
“Data has long been the lifeblood of innovation. And protecting that data remains a priority for individuals, companies and governments alike.”
As the global regulatory landscape shifts, there is now widespread agreement among business, government, and consumers that we must modernize our privacy laws, and create an approach to protecting consumer privacy that works in today’s data-driven reality, while still delivering the innovations consumers and businesses demand.
More and more, lawmakers and stakeholders acknowledge that an effective privacy regime provides meaningful privacy protections for consumers regardless of where they live. Approaches, like the framework ITI released last fall, must offer an interoperable solution that can serve as a model for governments worldwide, providing an alternative to a patchwork of laws that could create confusion and uncertainty over what protections individuals have.
Companies are also increasingly aware of the critical role they play in protecting privacy. Looking ahead, the tech industry will continue to develop mechanisms to hold us accountable, including recommendations that any privacy law mandate companies identify, monitor, and document uses of known personal data, while ensuring the existence of meaningful enforcement mechanisms.
Nuala O’Connor is president and CEO of the Center for Democracy & Technology, a global nonprofit committed to the advancement of digital human rights and civil liberties, including privacy, freedom of expression, and human agency. O’Connor has served in a number of presidentially appointed positions, including as the first statutorily mandated chief privacy officer in U.S. federal government when she served at the U.S. Department of Homeland Security. O’Connor has held senior corporate leadership positions on privacy, data, and customer trust at Amazon, General Electric, and DoubleClick. She has practiced at several global law firms including Sidley Austin and Venable. She is an advocate for the use of data and internet-enabled technologies to improve equity and amplify marginalized voices.
For too long, Americans’ digital privacy has varied widely, depending on the technologies and services we use, the companies that provide those services, and our capacity to navigate confusing notices and settings.
“Americans deserve comprehensive protections for personal information – protections that can’t be signed, or check-boxed, away.”
We are burdened with trying to make informed choices that align with our personal privacy preferences on hundreds of devices and thousands of apps, and reading and parsing as many different policies and settings. No individual has the time nor capacity to manage their privacy in this way, nor is it a good use of time in our increasingly busy lives. These notices and choices and checkboxes have become privacy theater, but not privacy reality.
In 2019, the legal landscape for data privacy is changing, and so is the public perception of how companies handle data. As more information comes to light about the effects of companies’ data practices and myriad stewardship missteps, Americans are surprised and shocked about what they’re learning. They’re increasingly paying attention, and questioning why they are still overburdened and unprotected. And with intensifying scrutiny by the media, as well as state and local lawmakers, companies are recognizing the need for a clear and nationally consistent set of rules.
Personal privacy is the cornerstone of the digital future people want. Americans deserve comprehensive protections for personal information – protections that can’t be signed, or check-boxed, away. The Center for Democracy & Technology wants to help craft those legal principles to solidify Americans’ digital privacy rights for the first time.
Chris Baker is Senior Vice President and General Manager of EMEA at Box.
Last year saw data privacy hit the headlines as businesses and consumers alike were forced to navigate the implementation of GDPR. But it’s far from over.
“…customers will have trust in a business when they are given more control over how their data is used and processed”
2019 will be the year that the rest of the world catches up to the legislative example set by Europe, as similar data regulations come to the forefront. Organizations must ensure they are compliant with regional data privacy regulations, and more GDPR-like policies will start to have an impact. This can present a headache when it comes to data management, especially if you’re operating internationally. However, customers will have trust in a business when they are given more control over how their data is used and processed, and customers can rest assured knowing that no matter where they are in the world, businesses must meet the highest bar possible when it comes to data security.
Starting with the U.S., 2019 will see larger corporations opt-in to GDPR to support global business practices. At the same time, local data regulators will lift large sections of the EU legislative framework and implement these rules in their own countries. 2018 was the year of GDPR in Europe, and 2019 be the year of GDPR globally.
Christopher Wolf is the Founder and Chair of the Future of Privacy Forum think tank, and is senior counsel at Hogan Lovells focusing on internet law, privacy and data protection policy.
“Regardless of the outcome of the debate over a new federal privacy law, the issue of the privacy and protection of personal data is unlikely to recede.”
with the adoption of a highly-regulatory and broadly-applicable state privacy law in California last Summer (and similar laws adopted or proposed in other states), and with intense focus on the data collection and sharing practices of large tech companies, the time may have come where Congress will adopt a comprehensive federal privacy law. Complicating the adoption of a federal law will be the issue of preemption of state laws and what to do with the highly-developed sectoral laws like HIPPA and Gramm-Leach-Bliley. Also to be determined is the expansion of FTC regulatory powers. Regardless of the outcome of the debate over a new federal privacy law, the issue of the privacy and protection of personal data is unlikely to recede.
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Renewable energy is the future, but at present no one is tracking just who’s got solar panels on their roof, in their back yard, or a shared neighborhood installation. Fortunately, solar panels generally work best when exposed to the light. That makes them easy to spot, and count, from orbit — which is just what the DeepSolar project is doing.
There are a number of initiatives for collecting this information — some regulated, some voluntary, some automated. But none of them is comprehensive enough or accurate enough to base policy or business decisions on at a national or state level.
Stanford engineers (mechanical and civil, respectively) Arun Majumdar and Ram Rajagopal decided to remedy this with what seems like, in retrospect, rather an obvious solution.
Machine learning systems are great at looking at images and finding objects they’ve been “trained” to recognize, whether it’s cats, faces, or cars… so why not solar panels?
Their team, including grad students Jiafan Yu and Zhecheng Wang, put together an image recognition machine learning agent trained on hundreds of thousands of satellite images. The model learns both to identify the presence of solar panels in an image, and to find the shape and area of those panels.
Having evaluated the model on nearly a hundred thousand other randomly sampled satellite images of the U.S., they found they achieved an accuracy of about 90 percent (slightly more or less depending on how it’s measured), which is well ahead of other models, and it estimated cell size with only about a 3 percent error. (Its main weakness is very small installations, Rajagopal told me, but this is partially due to the limits of the imagery.)
The team then put the model to work chewing through over a billion image tiles covering as much of the lower 48 states as they could find suitable imagery for. That excludes quite a bit of area, but consider that much of that is, for example, mountains. Not a lot of solar installations there, and few people are trying to put up cells in national parks.
All in all it’s about 6 percent of the actual country — but Rajagopal pointed out that urban areas comprise only about 3.5 percent, so this covers all of them and more. He estimated that perhaps perhaps 5 percent of installations are in the areas the system has yet to process (but is working on).
Scanning took a whole month, but at the end the model had found 1.47 million individual solar installations (which could be a few panels on a roof or a whole solar farm). That’s many more than have been counted by other efforts, and the most successful of those didn’t come with the exact location, as DeepSolar’s data does.
Basic plotting of this data produces all kinds of interesting new info. You can compare solar installation density at the state, county, census tract, or even square mile level and compare that to all kinds of other metrics — average sunny days per year, household income, voting preference, and so on.
A couple interesting findings: Only 4 percent of all census tracts (roughly 3,000 out of 75,000) had more than 100 residential-scale solar systems, meaning installations are highly concentrated. Residential solar made up 87 percent of the total installation count, but with a median size of around 25 square meters, only 34 percent of the total solar cell surface area.
Peak deployment density can be found where there are about a thousand people per square mile — think a small town or suburb, not a major city. And there’s a sort of inflection point at which people start installing: when an area receives more than 4.5 kWh per square meter per day of solar radiation. How that corresponds to weather, location, exposure and so on is a more complicated question.
This and other demographics are all good information to know if you want to invest in solar, since they basically tell you where it’s justified or needed.
“We have created and released a website where you can play with the data at the aggregated level (we are keeping it at census tract level) to respect the privacy of consumers,” Rajagopal said. “We are exploring how to make individual detections public while respecting privacy (perhaps by encouraging public participation and crowdsourcing).”
“We decided to share all of the work in open source to encourage others in industry and academia to utilize both the method as well as the data to produce more insights. We feel that changes need to happen fast, and this is one of the ways to aid in that. Perhaps in the future, services can be built around this type of data,” he continued.
Plans are underway to expand the service to the rest of the U.S. and other countries as well. The data is available to peruse here, or here as a map; the team’s paper describing the project was published today in the journal Joule.
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CEOs of funded startups tend to be a well-educated bunch, at least when it comes to university degrees.
Yes, it’s true college dropouts like Mark Zuckerberg and Bill Gates can still do well. But Crunchbase data shows that most startup chief executives have an advanced degree, commonly from a well-known and prestigious university.
Earlier this month, Crunchbase News looked at U.S. universities with strong track records for graduating future CEOs of funded companies. This unearthed some findings that, while interesting, were not especially surprising. Stanford and Harvard topped the list, and graduates of top-ranked business schools were particularly well-represented.
In this next installment of our CEO series, we narrowed the data set. Specifically, we looked at CEOs of U.S. companies funded in the past three years that have raised at least $100 million in total venture financing. Our intent was to see whether educational backgrounds of unicorn and near-unicorn leaders differ markedly from the broad startup CEO population.
Here’s the broad takeaway of our analysis: Most CEOs of well-funded startups do have degrees from prestigious universities, and there are a lot of Harvard and Stanford grads. However, chief executives of the companies in our current data set are, educationally speaking, a pretty diverse bunch with degrees from multiple continents and all regions of the U.S.
In total, our data set includes 193 private U.S. companies that raised $100 million or more and closed a VC round in the past three years. In the chart below, we look at the universities most commonly attended by their CEOs:1

The rankings aren’t hugely different from the broader population of funded U.S. startups. In that data set, we also found Harvard and Stanford vying for the top slots, followed mostly by Ivy League schools and major research universities.
For heavily funded startups, we also found a high proportion of business school degrees. All of the University of Pennsylvania alum on the list attended its Wharton School of Business. More than half of Harvard-affiliated grads attended its business school. MBAs were a popular credential among other schools on the list that offer the degree.
When it comes to the most heavily funded startups, the degree mix gets quirkier. That makes sense, given that we looked at just 20 companies.
In the chart below, we look at alumni affiliations for CEOs of these companies, all of which have raised hundreds of millions or billions in venture and growth financing:

One surprise finding from the U.S. startup data set was the prevalence of Canadian university grads. Three CEOs on the list are alums of the University of Waterloo . Others attended multiple well-known universities. The list also offers fresh proof that it’s not necessary to graduate from college to raise billions. WeWork CEO Adam Neumann just finished his degree last year, 15 years after he started. That didn’t stop the co-working giant from securing more than $7 billion in venture and growth financing.
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Yesterday Alchemist Accelerator, best known for working with enterprise startups, held its 17th demo day at the Stanford Research Institute (SRI) in Menlo Park, California. Twenty-four startups pitched ideas ranging from personalized genomics to hard tech spinouts from Stanford’s Linear Accelerator. Rather than expound upon all twenty-four I worked with Alchemist to bring you a top… Read More
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Stanford University is regularly credited for playing a key role in the economic and technological success story that is Silicon Valley. So what should universities elsewhere be doing to emulate that same success? One academic says the schools of the future should be great, big incubators. Read More
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