Monthly Archives: October 2020

News: 4 sustainable industries where founders and VCs can see green by going green

Now’s the time for sustainable investments to shine. There are billions of dollars in funding in both public and private markets dedicated to new sustainable investing and demand for consumers for a more conscious capitalism has never been stronger. As founders and investors reawaken to a sustainable morning in America a few areas are going

Now’s the time for sustainable investments to shine. There are billions of dollars in funding in both public and private markets dedicated to new sustainable investing and demand for consumers for a more conscious capitalism has never been stronger.

As founders and investors reawaken to a sustainable morning in America a few areas are going to demand hardware, software and business model innovations.

Some of these sectors have been on the investment radar for the past year or two and others are just beginning to capture investor attention, but they all have something in common: the investor appetite for new businesses addressing the food supply chain; energy management and construction for homes and offices; carbon sequestration and monitoring and management of offsets; and new biomaterials and processes for packaging and industrial chemicals replacements have never been stronger.

If we’re going to feed the world, let’s start with the food chain.

COVID-19, the disease caused by the SARS-CoV-2 virus, has exposed significant holes in the food supply. Companies like AppHarvest, which agreed to go public through a SPAC earlier this year are only one of several companies remaking agriculture through the application of technology. There’s also Plenty, Bowery Farms, Unfold, BrightFarms and Revol Greens, working to upend the agricultural supply chain. If those companies are looking at new ways of growing crops, companies like Apeel Sciences and Hazel Technologies are trying to find ways to preserve food from spoilage. Treasure8 is looking at ways to use food waste for new food and ingredients and they’re not alone.

Then there’s the protein replacement companies that we’ve written about previously. Impossible Foods, Beyond Meat, Memphis Meats, Mosa Meat, Nuggs, Future Meat Technologies, Shiok Meats (a seafood company) are devising methods to create meaty proteins less dependent on animal husbandry. Perfect Day and its competitors are doing the same for the dairy industry.

There’s also tremendous need for new protein sources to feed the animals that people around the world still like to eat. For this there’re companies like Ynsect, which is providing insect proteins for industrial fish farms, or Grubly Farms, which is providing feed to the families raising their own chickens.

For these opportunities that are raising hundreds of millions in financing there are others that require the kind of high margin software solutions that are yet to be developed. These are visual technologies for tracking, monitoring and managing food production; sensors for improving the storage and supply chain, software for managing production and tracking produce and products from the farm to the table. Venture investors are beginning to invest in these companies as well.

News: A clean energy company now has a market cap rivaling ExxonMobil

The news last week that NextEra Energy, a U.S. utility and renewable energy company, briefly overtook ExxonMobil and Saudi Aramco to become the world’s most valuable energy producer shows just how valuable sustainable businesses have become. It’s yet another proof point that there are billions of dollars available for companies focused on renewable energy alone

The news last week that NextEra Energy, a U.S. utility and renewable energy company, briefly overtook ExxonMobil and Saudi Aramco to become the world’s most valuable energy producer shows just how valuable sustainable businesses have become. It’s yet another proof point that there are billions of dollars available for companies focused on renewable energy alone — and a sign that, finally, the floodgates may be about to open for companies that build their businesses to service a sustainability revolution.

Large money managers are already returning to investing in earlier stage sustainability investments after an extended hiatus. These are institutional investors like the Canadian Pension Plan Investment Board and Caisse de dépôt et placement du Québec, which could commit billions between them to technologies focused on mitigating the impacts of climate change or reducing greenhouse gas emissions across industries. The flood of dollars into renewable energy and sustainable technologies actually began in the first quarter of the year.

Some of the largest private equity funds in the U.S. like Blackstone (with $571 billion in assets under management), announced a flood of investments into renewable power generation and storage. Blackstone alone invested nearly $1 billion into Altus Power Generation, a renewable energy developer, and NRStor, an energy storage company; while Generate Capital raised $1 billion for renewable energy infrastructure projects; and Warburg Pincus (with over $50 billion in assets under management) backed Scale Microgrids, which developed clean energy and storage projects, with another $300 million. In March, the Canadian Pension Plan Investment Board closed its investment in Pattern Energy Group, a $6.1 billion transaction that gave the massive money manager ownership of a renewable power project owner and developer with assets across North America and Japan.

Behind all of that massive investment will be a surge in demand for technologies that can orchestrate resources that will be more distributed and provide better energy storage and distribution technologies for a more complicated grid. Indeed, the beginning of the year saw venture firms like Lightspeed Venture Partners, Sequoia and Union Square Ventures begin to plant flags around sustainable investments in startup companies. Microsoft announced a $1 billion climate change-focused investment fund and in the second quarter, Amazon followed suit with the commitment of $2 billion to its Climate Pledge Fund that would invest across a range of renewable and sustainability-focused technology startups and climate-related projects.

“You’ve got all of this activity even without policy changes — and policy changes are even going in the wrong direction,” said Abe Yokell, a longtime investor in technologies addressing climate change and the managing partner of Congruent Ventures, in an interview with TechCrunch earlier this year. “Our general framework is that the venture model applies to some but not all of the solutions that will solve the problem of climate change.”

Environmental and social investing rises again

In 2007, John Doerr, then one of the world’s most successful venture investors and a leader at Kleiner Perkins Caufield and Byers (now just Kleiner Perkins), delivered an emotional speech to an early audience of TED talk attendees. In it, Doerr announced that KPCB would be investing $200 million into a range of “clean technology” companies and encouraged other investors to make similar commitments. Doerr spoke of a coming climate crisis that would reshape the globe and wreak vast economic damage on communities. He wasn’t wrong.

But the solutions that the first generation of clean tech investors backed were economically unfeasible and markets weren’t then ready to embrace massive investments required to avoid what were, at the time, future risk scenarios. Prices for solar and wind energy production technologies were too expensive and energy storage options too unreliable. Biofuels could not compete at costs that would make them competitive with existing petrochemicals, and bioplastics and chemicals suffered from the same problems (along with a consumer culture that had not awoken to the perils of plastic and chemical production).

While there were a few notable successes from that first generation of clean tech companies, including, most notably, Tesla, there were far more failures. Kleiner alone poured hundreds of millions into companies like Think and Fisker Automotive, two early electric vehicle companies. Another electric vehicle bet, Better Place, lost $1 billion for investors like VantagePoint Venture Partners. The losses weren’t confined to electric vehicles. Solar energy companies, biofuel companies, grid management companies and battery companies all racked up millions in losses for a generation of venture funds.

Yokell, who previously worked as an investor at Rockport Capital, saw the failures, but managed to persevere and raise new cash with his fund Congruent. “Things are different, but they are different for 10 different reasons — not one different reason,” Yokell said. “The preponderance of dollars went into the physical layer that would drive down the cost of accessing a product or technology. Solar is a great example; wind is a great example; batteries are a great example. [But] this time around, the venture dollars that are going into the ecosystem are being applied to products and services that are going to the end product.”

This means focusing not on the generation of electricity necessarily, but managing and monitoring how those atoms move. Or in the case of food tech, making the processes of creation and distribution more efficient in addition to making new sources of supply. “Venture is a rule of exceptions,” said Yokell. “If you use what works for the venture model and apply it to Tesla [most investors] were wrong. It only takes two massive successes to prove the rule wrong.”

More often though, the money for venture investors is in following some basic rules of investing — chiefly look for high-margin businesses with low upfront capital costs. If something is going to take $40 million or $50 million just to figure out that it might work and then you need to spend another $200 million to prove that it does work … that’s likely not going to be a good bet for a venture firm, Yokell said.

Public markets and large corporations now lead the way

Even as most venture capital dollars shied away from investments in technology that could move the needle on climate (one large exception being Vinod Khosla and Khosla Ventures … another story), the world’s largest investment firms, money managers, publicly traded energy and agriculture companies began stepping up their commitments.

In part, that’s because the economic viability started to become more apparent for decades-old technologies like wind and solar. The costs of these energy-generating technologies made sense to develop because they were, in many cases, cheaper than the alternative. A June report from the International Renewable Energy Agency showed that renewable power generation projects were cheaper than the cost to operate existing coal-fired plants. Next year, the energy agency said, the 1.2 gigawatts of existing coal capacity could cost more to operate than the cost of new utility-scale solar photovoltaics. According to the agency:

Replacing the costliest 500 GW of coal with solar PV and onshore wind next year would cut power system costs by up to USD 23 billion every year and reduce annual emissions by around 1.8 gigatons (Gt) of carbon dioxide (CO2), equivalent to 5% of total global CO2 emissions in 2019. It would also yield an investment stimulus of USD 940 billion, which is equal to around 1% of global GDP.

Beyond that, the real effects of climate change began to be felt in rising insurance payouts as a result of increasingly frequent natural disasters and money managers beginning to realize that you can’t have a functioning economy if you don’t have a functioning society thanks to social unrest brought about by rising populations consuming increasingly limited resources thanks to climatological collapse. 

In early January, BlackRock, one of the world’s largest investment firms, pledged to refocus all of its investment activities through a climate lens. The investment bank Jefferies has declared 2020 to be the shot from the starting gun for what will be a decade of investments focused on environmental, social and corporate governance. Big energy companies were already picking up the slack where venture investment left off, with firms like National Grid Partners, Energy Investment Partners and others committing capital to new energy technologies even as venture investors pulled back. In 2016, Bill Gates launched a $1 billion investment fund that would focus on climate-related investing, backed by several of his billionaire buddies (including Kleiner Perkins’ John Doerr and former Kleiner Perkins managing director, Vinod Khosla) and take the big swings that many venture firms were unwilling to take at the time.

Opportunities beyond energy

Investments in clean tech and sustainability were never just about energy, although that captured a fair bit of the imagination and some of the earliest returns — in biofuels companies and electric vehicles. Now, the breadth of the thesis is being expressed in a deluge of exits and millions invested in areas like novel proteins for food production, new technologies for a more sustainable agriculture, new consumer food products, new technologies for managing power and distributing it, and fantastic new ways to generate that power.

Last week, AppHarvest, a company using greenhouse farming techniques to grow tomatoes more sustainably, agreed to go public through a special purpose acquisition vehicle, and just today, a bioplastics manufacturer is taking the same tack. With the world awash in capital and looking for high-growth companies to generate returns, sustainability looks like a good bet.

Those are the companies that have managed to access public markets in the last week. Beyond Meat captured the attention of institutional investors and the investing public with its better-tasting hamburger substitute, and Perfect Day snagged a massive investment from the Canadian Pension Plan Investment Board to make an alternative to cow’s milk. In fact, Perfect Day was the inaugural investment in the national pension fund’s climate strategy. Other deals should follow.

Meanwhile, as carbon emissions monitoring, management and sequestration gain broader commercial and consumer traction, other investment opportunities will begin to open up for digital solutions.

News: A quick peek into Opendoor’s financial results

As investing whirlwind Chamath Palihapitiya continues to make headlines with his full-court press to take private tech companies public via SPACs while markets are hot, one of his targets has disclosed financial information that helps us better understand the transaction it is undertaking. Palihapitiya’s Social Capital Hedosophia Holdings Corp. II (a public, blank-check company, or

As investing whirlwind Chamath Palihapitiya continues to make headlines with his full-court press to take private tech companies public via SPACs while markets are hot, one of his targets has disclosed financial information that helps us better understand the transaction it is undertaking.

Palihapitiya’s Social Capital Hedosophia Holdings Corp. II (a public, blank-check company, or SPAC) is combining with Opendoor, a San Francisco-based tech startup that facilitates real estate transactions. Opendoor often buys homes from sellers, later selling them itself. Given the complexity present in the residential real estate market and its scale, the company is an interesting play.

TechCrunch covered the Opendoor-SPAC tie-up in mid-September, when it was announced. Yesterday we got a fuller look into Opendoor’s financial results. So, this morning, let’s peek at the numbers to see if we can spy what Palihapitiya talked about in his investment thesis concerning the company’s future prospects.

The results

Opendoor’s 2020 results are not stellar. But that fact is not a surprise. The company went through a round of layoffs in April, impacting around 35% of its staff at the time.

However, even then, TechCrunch reported that “home sales haven’t fallen as far or as fast as one might imagine.” Indeed, in many markets the real estate market has proved surprisingly durable during the COVID lockdowns as some leave major cities for smaller municipalities.

Opendoor says plainly in its SEC filing concerning its combination with the SPAC that COVID has “adversely affected our business.” Its results, then, are framed by a changing market and a pandemic, even if areas of residential real estate have held up better than we might have anticipated.

Here are Opendoor’s raw numbers, for your perusal:

You have to read right-to-left to follow the flow of time correctly.

News: To fill funding gaps, VCs boost efforts to find India’s standout early-stage startups

After demonstrating scale, growth and financial improvement, one founder of a two-year-old agritech startup based in India told me that he’s now confronting a new challenge: Unlike his peers in edtech, fintech or e-commerce, there are very few investors he could approach for raising funds, he told TechCrunch, requesting anonymity. He suggested that a startup

After demonstrating scale, growth and financial improvement, one founder of a two-year-old agritech startup based in India told me that he’s now confronting a new challenge: Unlike his peers in edtech, fintech or e-commerce, there are very few investors he could approach for raising funds, he told TechCrunch, requesting anonymity. He suggested that a startup of a similar scale solving a similar problem would have little issue raising more than $50 million. But for his startup, seeking a $10 million financing round has proven very elusive in recent quarters, he said.

The story of this startup counters the narrative that fundraising for Indian startups has become easier than ever and that young firms have access to abundant capital from the market. India’s startup ecosystem raised about $14.5 billion in fundraises last year, beating its previous best of $10.6 billion in 2018, according to research firm Tracxn. But a closer look reveals that much of the capital went to a handful of late-stage startups, a trend that continues today.

In the first half of 2020, early-stage startups participated in 577 rounds to secure $1.84 billion, Tracxn told TechCrunch. That figure is the lowest the Indian startup ecosystem has seen in years. In the second half of last year, early-stage startups participated in 752 rounds to raise $3.03 billion, and in the first half of 2019, they raised $2.7 billion from 856 rounds. Series A and Series B startups are not immune to this trend either: In Q1 and Q2 2020, these startups raised $1.55 billion from 186 rounds, down from $2.69 billion from 254 rounds in the second half of last year and $2.37 billion from 279 rounds in the first half of last year, according to Tracxn. Once again, the first half of 2020 was the slowest in years for this segment.

Funding received by startups in India. Image Credits: Tracxn

Extra Crunch spoke with several VCs to understand how they were tackling this gap. We granted some of them the freedom to speak anonymously. At TechCrunch Disrupt 2020, Karthik Reddy, co-founder of Blume Ventures, India’s largest VC firm, acknowledged the gap, adding that, “There’s an artificial skew toward unicorns and chasing the unicorns.”

News: Twitter tests a new way to find accounts to follow

Twitter is testing a new way to follow accounts. The company announced today it’s rolling out a new feature, “Suggested Follows,” that will pop up a list of other accounts you may want to follow on the profile page of someone you had just followed. The feature will be tested on Android devices, for the

Twitter is testing a new way to follow accounts. The company announced today it’s rolling out a new feature, “Suggested Follows,” that will pop up a list of other accounts you may want to follow on the profile page of someone you had just followed. The feature will be tested on Android devices, for the time being.

The feature offers a tweak to how following currently works on mobile. At present, when you tap “Follow” on a user’s profile page, you’re presented with a small list of suggested accounts you may also want to follow.

Twitter explains that its accounts suggestions are based on a number of factors, and are often personalized. But in the case of suggested follows, it uses algorithms to determine what accounts may be related to the profile you’ve just visited, or if people who follow that user tend to follow certain other users.

Now testing on Android: You may see a suggestion to follow a group of relevant accounts on the profile page of someone you just followed. You can instantly add all the accounts with a single tap and easily remove the ones you don’t want to follow. pic.twitter.com/fayS9uIFvV

— Twitter Support (@TwitterSupport) October 6, 2020

That’s why, for example, when you follow someone whose profiles notes they work at a particular company, the Suggested follows may then include others who also work there. Or why when you follow a celebrity of some sort, you may be presented with other high-profile accounts as suggestions.

Before, however, you would have to tap on the suggestions one by one if you wanted to follow them. Twitter’s new test instead, groups a larger number of suggestions that you can follow with just one tap. You can then opt to remove those accounts you may not want to follow after first adding the full group.

This could make it easier for users to gain follows, if their account is related somehow to another account that’s seeing a high number of follows. It could also help Twitter newcomers to build out their networks, while helping existing users expand their own.

Some Twitter users may have already seen the feature in action, before today.

Twitter says the test is taking place on Android. The company didn’t note if or when the feature would expand to iOS.

 

News: I’m a software engineer at Uber and I’m voting against Prop 22

I’ve been a software engineer at Uber for two years, and I’ve also been a ride-share driver.

Kurt Nelson
Contributor

Kurt Nelson is a mobile engineer at Uber based in San Francisco. These are his personal views.

I’ve been a software engineer at Uber for two years, and I’ve also been a ride-hail driver. I regularly drove for Lyft in college, and while my day job involves writing code for the Uber Android app, I still make deliveries for app-based companies on my bike to understand the state of the gig economy.

These experiences have made me realize a crucial factor in the gig economy: Uber works because it’s cheap and it’s quick. The instant gratification when we book a ride and a car shows up only minutes later gives us a sense of control. It’s the most convenient thing in the world to go to your friend’s house, the grocery store or the airport at the click of a button.

But it’s become clear to me that this is only possible because countless drivers are spending their personal time sitting in their cars, waiting to pick up a ride, completely unpaid. Workers are subsidizing the product with their free labor.

I’ve decided to speak out against my employer because I know what it’s like to work with no benefits. Before joining Uber, I worked a range of low-wage jobs from customer service at Disneyland to delivering pizza with no benefits. Uber is one of several large companies bankrolling California’s Proposition 22. They’ve now contributed $47.5 million dollars to the campaign. At work, management tells us that passing Prop 22 is for the best because it is critical for the company’s bottom line. Yet, a corporation’s bottom line will not and should not influence my vote.

Uber claims Prop 22 would be good for drivers, but that depends on Uber the company treating drivers better. I know from my experience working as an Uber engineer there is a slim chance of that happening. At the beginning of the pandemic, we learned Uber was about to embark on a round of layoffs. For weeks we sat around not knowing if we’d keep our jobs and health insurance.

Ultimately the company laid off 3,500 workers in the middle of a pandemic, and they did it via a three-minute Zoom call. For many of us, the layoffs seemed random and arbitrary, as if managers had been given a quota of people they should fire, not dissimilar to the way in which Uber deactivates drivers without recourse. The entrenched culture of not caring about workers had extended to engineers. We realized we too are a fungible resource.

As a software engineer, I have a very different experience working for Uber than drivers do. Being classified as an employee affords me benefits including healthcare, a retirement plan, stock vesting and the ability to take paid vacation and sick leave. Uber drivers are not afforded these benefits, since Uber misclassifies them as independent contractors. Since January 1 of this year, the law has been clear: Gig drivers should be classified as employees. Yet Uber refuses to obey the law and is now seeking to get Prop 22 passed so they can write a new set of rules for themselves.

There’s a misconception that all Uber drivers are part-time. Maybe they drive as a fun hobby in retirement or pick up a few hours after class in college, as I did. These drivers exist, but the drivers who are essential to Uber’s business are full-time workers. A study commissioned by the city of San Francisco released in May found that 71% of the city’s gig drivers work at least 30 hours per week. It is these drivers who give the majority of the rides. California legally requires employers to provide benefits to all workers working at least 30 hours per week, so 71% of daily drivers are currently denied benefits required by the state.

Were it not for my background as a Lyft driver, I would have accepted my employer’s argument at face value. This was never about disrupting an industry; their business model is the same as any other company’s — cut costs no matter what in order to increase profits. I’ve been lucky to meet some of Uber’s fantastic drivers while organizing with the advocacy organization Gig Workers Rising. Everyone knows about the high cost of living in San Francisco — these folks are often trying to make do on less than minimum wage. I’ve met drivers who have to sleep in their cars, risk financial ruin over a single doctor’s appointment or go without life-saving medication. There’s no way around it, Uber’s Prop 22 is a multimillion dollar effort to deny these workers their rights.

My message to other tech workers and to the public at large is this: Research ballot propositions on your own. When your employer tells you to vote for something because it’s what is best for the company, consider that your employer’s interests might not align with your own, or with society’s.

To employees at Uber, Lyft, DoorDash or other gig economy companies: Get to know the drivers who use your product every day. In many ways, we have more in common with these workers than we do with the executives making millions from our labor.

In November, you will have a choice to either stand with other workers and vote no on Prop 22, or align yourself with executives and billionaires by voting yes.

Stand with workers — vote no on Prop 22.

News: Cambridge Analytica sought to use Facebook data to predict partisanship for voter targeting, UK investigation confirms

The UK’s data watchdog has sent a letter to parliament In lieu of a final report on a wide-ranging investigation into online political advertising which saw it raid the offices of Cambridge Analytica in 2018 after it emerged that the disgraced (and now defunct) data company had improperly acquired data on millions of Facebook users.

The UK’s data watchdog has sent a letter to parliament In lieu of a final report on a wide-ranging investigation into online political advertising which saw it raid the offices of Cambridge Analytica in 2018 after it emerged that the disgraced (and now defunct) data company had improperly acquired data on millions of Facebook users.

In the letter the regulator says the material that it reviewed included:

  • 42 laptops and computers;
  • 700 TB of data;
  • 31 servers;
  • over 300,000 documents; and
  • a wide range of material in paper form and from cloud storage devices

“The sheer volume of material seized meant that we were presented with a digital ‘haystack’ of information in various states and locations and this has prolonged the work involved in reviewing and assessing the material to help us understand what happened. However, by piecing together the timeline of events we were able to get a thorough evidential insight into what was likely to have taken place,” it writes before going on to sketch its understanding of how Cambridge Analytica/SCL was operating at the time it paid a Cambridge University academic, Dr Aleksandr Kogan, to improperly procure and process millions of Facebook users’ data with the intention of targeting US voters with ads.

“The conclusion of this work demonstrated that SCL were aggregating datasets from several commercial sources to make predictions on personal data for political alliance purposes,” the ICO writes. “For example, we recovered data which included Voter files (the US version of the Electoral Register), Consumer Data Sets, Social Media and Intelligence Data Sets that appeared to come from the following companies: Labels & Lists, InfoGroup, Aristotle, Magellan, Acxiom and Experian. Some data has the appearance of similar US voter data that has been subject to known cyber breaches and has been available on-line.”

The former CEO of Cambridge Analytica, Alexander Nix — who was last month banned from running a company for seven years, after he signed a disqualification undertaking with the UK insolvency service — previously told the UK parliament that CA/SCL had acquired the bulk of the data it was using to build psychographic profiles of voters from major commercial data brokers such as Acxiom, Experian and Infogroup.

Per the ICO’s assessment, CA/SCL had been over-egging the depth of its people profiling — with the regulator saying it did not find evidence to back up claims in its marketing material that it had “5,000+ data points per individual on 230 million adult Americans”.

“Based on what we found it appears that this may have been an exaggeration,” it writes.

The ICO was satisfied that the Facebook data transferred to CA/SCL by Dr Kogan’s company was incorporated into a pre-existing larger database it already held — containing “voter file, demographic and consumer data for US individuals”.

“The data points collected by GSR [Dr Kogan’s company] with respect to [Facebook app] survey users and their Facebook ‘friends’ was specifically selected to enable a ‘matching’ process against pre-existing SCL databases,” it writes, explaining its understanding of how CA/SCL used the improperly obtained Facebook data. “Matching took place using file sharing platforms and by reference to name, date of birth and location – with SCL’s existing datafiles being ‘enriched’ and supplemented by GSR’s data about those same individuals – and this matched information being passed back into SCL systems.

“This resulted for example information including scores for voting frequency, whether likely republican or democrat, voting consistency, and a profile which predicted personality traits matched to information such as voter ID, name, address, age, and other commercial data.”

The investigation also confirmed CA/SCL applied AI techniques to the data to try to predict partisanship or other significant attributes of voters for the purpose of more effectively targeting them with political messaging. Although it says it was unable to confirm whether such techniques were used in specific campaigns.

“Through such processes the relevant US voter GSR data (about approx. 30 million individuals) was then further analysed using machine learning algorithms to create additional ‘predicted’ scores relating to partisanship and other criteria which were then applied to all the individuals in the database. Some of these focussed on likes as wide ranging as “gay rights”, “Obama the worst president in US history”, “Re-elect President Obama in 2012”, “the Bible” and “National Rifle Association”,” it writes.

“These scores were used to identify clusters of similar individuals who could be potentially targeted with advertising relating to political campaigns. This targeted advertising was ultimately likely the final purpose of the data gathering but whether or which specific data from GSR was then used in any specific part of campaign has not been possible to determine from the digital evidence reviewed. There is however evidence recovered that suggests that similar approaches and models based on the predicted personality traits and other measures were used with Republican National Committee (RNC) data.”

On CA’s/SCL’s data modelling methods the ICO concludes that the company was mainly using “well recognised processes using commonly available technology”.

“For example, open source data science libraries such as ‘scikit’ were downloaded by SCL – containing well established, widely used algorithms for data visualisation, analysis and predictive modelling. It was these third-party libraries which formed the majority of SCL’s data science activities which were observed by the ICO,” it writes. “Using these libraries, SCL tested multiple different machine learning model architectures, activation functions and optimisers (all of which come pre-developed within the third-party libraries) to determine which combinations produced the most accurate predictions on any given dataset. We understand this procedure is well established within the wider data science community, and in our view does not show any proprietary technology, or processes, within SCL’s work.”

The regulator further notes there are ongoing questions over the efficacy of such modelling for predicting individuals’ attributes — highlighting signs of internal scepticism over the approach.

“Through the ICO’s analysis of internal company communications, the investigation identified there was a degree of scepticism within SCL as to the accuracy or reliability of the processing being undertaken. There appeared to be concern internally about the external messaging when set against the reality of their processing,” it notes.

The ICO’s investigation also did not find evidence that the Facebook data that Dr Aleksandr Kogan sold to Cambridge Analytica was used for political campaigning associated with the UK’s Brexit Referendum. “Our view on review of the evidence is that the data from GSR could not have been used in the Brexit Referendum as the data shared with SCL/Cambridge Analytica by Dr Kogan related to US registered voters,” it writes.

A lack of evidence that UK Facebook users’ data had been used for the political targeting was Facebook’s contention when it challenged the ICO’s £500k penalty for the Cambridge Analytica scandal.

The regulator eventually settled with Facebook last year — although the company did not admit liability.

The ICO’s letter also discusses the Canada-based data company AIQ, which was linked to CA/SCL, and did play a key role in the UK’s Brexit referendum — as it was used by several ‘Leave’ campaigns to target ads at UK voters via Facebook.

“There was a range of evidence that demonstrated a very close relationship between AIQ and SCL (such as evidence that described AIQ as the Canadian branch of SCL and evidence that Facebook invoices to AIQ for advertising were paid directly by SCL). However, AIQ has consistently denied having a closer relationship beyond that between a software developer and their client. Mr Silvester (a director/owner of AIQ) has stated that in 2014 SCL ‘asked us to create SCL Canada but we declined’,” the ICO writes.

The regulator says it investigated whether AIQ had used the same datasets to target adverts at UK voters on behalf of three different ‘Leave’ campaigns: Vote Leave, BeLeave, the DUP and Veterans for Britain — but it did not find evidence that this occurred.

“Initial information provided by Facebook had suggested that there were three audiences that were used for targeting by both Vote Leave and BeLeave. However, AIQ subsequently clarified that this was an admin error made by a junior member of staff while creating the BeLeave account. The error was corrected the following day and no information from those campaigns was disseminated through Facebook in the form of targeted ads,” it writes.

While the ICO’s letter-to-parliament in lieu of a more formal final report may appear to be something of an anticlimax to a long-running data misuse scandal, the regulator reiterates concerns over what the letter couches as “systemic vulnerabilities in our democratic systems”.

Although information commissioner, Elizabeth Denham, does not further flesh out her earlier publicly stated concern that democracy is being disrupted by big data.

Instead the letter notes the ICO has provided “advice and guidance” with the aim of achieving better future compliance with the rules to several unnamed organisations on the remain and the leave side of the UK’s referendum.

“My audit teams have also concluded audits of data protection compliance at 14 organisations associated with the original investigation, including: the main political parties, the main credit reference agencies and major data brokers, as well as Cambridge University’s Psychometrics Centre. We have made significant recommendations for changes to comply with data protection legislation,” she adds.

The detail of those “significant” recommendations are pending reports of the ICO’s audits of the main political parties; the main credit reference agencies and major data brokers; and Cambridge University Psychometrics Centre — which it notes will be published “shortly”.

One more interesting detail from the ICO’s CA/SCL investigation is it appears the company had been planning to relocate its data offshore to avoid regulatory scrutiny — presumably as the media furore around the Facebook data scandal cast a spotlight on its processes.

“We also identified evidence that in its latter stages SCL /CA was drawing up plans to relocate its data offshore to avoid regulatory scrutiny by ICO. We have followed up their complex company structure with overseas counterparts and have concluded that while plans were drawn up, the company was unable to put them into effect before it ceased trading,” is the regulator’s conclusion on that.

On the Facebook data-set itself, the ICO says its investigation found data “in a variety of locations, with little thought for effective security measures”. “We found that individuals of interest to the investigation held data on various Gmail accounts,” it notes. “Data was also found in servers and appeared to have been shared with a range of parties, for example there was evidence that data had been shared with staff at SCL/CA, Eunoia Technologies Inc, the University of Cambridge and the University of Toronto.”

The letter also reveals that a number of unnamed “senior figures” associated with the scandal have continued to refuse to cooperate with the ICO’s investigation. “Several senior figures have continued to maintain their silence and have declined to be interviewed,” it notes.   

News: Standing by developers through Google v. Oracle

We should give developers the right to freely reimplement APIs, as developer ability to shift applications and skills between software ecosystems benefits everyone – we all get better software to accomplish more.

Mike Linksvayer
Contributor

Mike Linksvayer is Head of Developer Policy at GitHub, leading the company’s efforts to advocate for developers globally.

The Supreme Court will hear arguments tomorrow in Google v. Oracle. This case raises a fundamental question for software developers and the open-source community: Whether copyright may prevent developers from using software’s functional interfaces — known as APIs — to advance innovation in software. The court should say no — free and open APIs protect innovation, competition and job mobility for software developers in America.

When we use an interface, we don’t need to understand (or care) about how the function on the other side of the interface is performed. It just works. When you sit down at your computer, the QWERTY keyboard allows you to rapidly put words on the screen. When you submit an online payment to a vendor, you are certain the funds will appear in the vendor’s account. It just works.

In the software world, interfaces between software programs are called “application programming interfaces” or APIs. APIs date back to the 1950s and allow developers to write programs that reuse other program functionality without knowing how that functionality is performed. If your program needs to sort a list, you could have it use a sorting program’s API to sort the list for your program. It just works.

Developers have historically used software interfaces free of copyright concerns, and this freedom has accelerated innovation, software interoperation and developer job mobility. Developers using existing APIs save time and effort, allowing those savings to be refocused on new ideas. Developers can also reimplement APIs from one software platform to others, enabling innovation to flow freely across software platforms.

Importantly, reusing APIs gives developers job portability, since knowledge of one set of APIs is more applicable cross-industry. The upcoming Google v. Oracle decision could change this, harming developers, open-source software and the entire software industry.

Google v. Oracle and the platform API bargain

Google v. Oracle is the culmination of a decade-long dispute. Back in 2010, Oracle sued Google, arguing that Google’s Android operating system infringed Oracle’s rights in Java. After ten years, the dispute now boils down to whether Google’s reuse of Java APIs in Android was copyright infringement.

Prior to this case, most everyone assumed that copyright did not cover the use of functional software like APIs. Under that assumption, competing platforms’ API reimplementation allowed developers to build new yet familiar things according to the API bargain: Everyone could use the API to build applications and platforms that interoperate with each other. Adhering to the API made things “just work.”

But if the Google v. Oracle decision indicates that API reimplementation requires copyright permission, the bargain falls apart. Nothing “just works” unless platform makers say so; they now dictate rules for interoperability — charging developers huge prices for the platform or stopping rival, compatible platforms from being built.

Free and open APIs are essential for modern developers

If APIs are not free and open, platform creators can stop competing platforms from using compatible APIs. This lack of competition blocks platform innovation and harms developers who cannot as easily transfer their skills from project to project, job to job.

MySQL, Oracle’s popular database, reimplemented mSQL’s APIs so third-party applications for mSQL could be “ported easily” to MySQL. If copyright had restricted reimplementation of those APIs, adoption of MySQL, reusability of old mSQL programs and the expansion achieved by the “LAMP” stack would have been stifled, and the whole ecosystem would be poorer for it. This and other examples of API reimplementation — IBM’s BIOS, Windows and WINE, UNIX and Linux, Windows and WSL, .NET and Mono, have driven perhaps the most amazing innovation in human history, with open-source software becoming critical digital infrastructure for the world.

Similarly, a copyright block on API-compatible implementations puts developers at the mercy of platform makers say so — both for their skills and their programs. Once a program is written for a given set of APIs, that program is locked-in to the platform unless those APIs can also be used on other software platforms. And once a developer learns skills for how to use a given API, it’s much easier to reuse than retrain on APIs for another platform. If the platform creator decides to charge outrageous fees, or end platform support, the developer is stuck. For nondevelopers, imagine this: The QWERTY layout is copyrighted and the copyright owner decided to charge $1,000 dollars per keyboard. You would have a choice: Retrain your hands or pay up.

All software used by anyone was created by developers. We should give developers the right to freely reimplement APIs, as developer ability to shift applications and skills between software ecosystems benefits everyone — we all get better software to accomplish more.

I hope that the Supreme Court’s decision will pay heed to what developer experience has shown: Free and open APIs promote freedom, competition, innovation and collaboration in tech.

News: Why startups are going public now

After all those years of startups not going public, 2020 is a little bit different. It feels like more companies are filing, and more companies are seeing their debuts through. We’re even seeing direct listings and SPAC-led deals, along with a trove of traditional IPOs. Data backs up how we feel about this year’s IPO

After all those years of startups not going public, 2020 is a little bit different. It feels like more companies are filing, and more companies are seeing their debuts through. We’re even seeing direct listings and SPAC-led deals, along with a trove of traditional IPOs.

Data backs up how we feel about this year’s IPO market. Notably, however, the year did not start out too hot.

Quite a lot of 2020’s IPO results came in Q3, with the quarter’s IPO tally setting a record in terms of IPO volume and dollars raised since at least the start of 2016, according to data from PwC. But on the back of the third quarter, 2020 is going to be a good year for tech debuts, at least compared to recent history.

Why? It’s a good question. Parsing through the Root IPO filing this morning a TechCrunch reader asked why we’re seeing so many IPOs after they were out of vogue for so long; after a decade of staying private being the hot thing, why are so many companies trying to get public now?

There are a few reasons, I think. Here are some good ones:

  • In today’s market, public valuations now regularly outstrip private valuations. This is something a startup exec told me recently, and I heartily agreed. One only needs to look at, say, the Snowflake IPO to understand this dynamic. Or the recent JFrog debut. Or how investors initially responded to Lemonade’s IPO. You get the idea. Public investors, and especially their retail investing cadre, are content to bid the value of unicorns up in anticipation of future growth. Much like private investors have long done.
  • This means that it is a good time to go public if you eventually have to, as public equities are near all-time highs. If you are a company that is going to go public in the next few years, why not do so now, when there is demonstrated demand for growth-oriented shares, and you can probably defend your valuation? It just makes sense!
  • That fact is compounded by the sheer number of private companies that are old as hell and need to get the frak out of the private sandbox. If you are a company that really needs to go public, like Airbnb (for technical reasons relating to expiring options), now is great and now is good, as tomorrow may well be worse.
  • And good news, there are so many ways to go public now! Finally, there are myriad options available to companies looking to list. Don’t want to price via a traditional IPO? No worries. How about a direct listing? Don’t want that or a traditional IPO? No worries. How about one of around a dozen SPACs that are hunting for companies to take public?

You gotta make hay while the sun is out, and with the Nasdaq still over 11,000 and rumor of more federal relief ever present to keep markets high, it’s a fine time to list. Hence the wave.

In closing, it’s worth noting that the average 2020 pace of unicorn IPOs is still not nearly enough to clear the rolls. There are going to be a lot of unicorns stuck in their pen once the public market, inevitably, turns.

This is going to come up on the podcast, probably soon. So make sure you’re tuned in

News: SpaceX awarded contract to help develop U.S. missile-tracking satellite network

SpaceX has secured a contract valued at just shy of $150 million by the U.S. Space Development Agency, a branch of the U.S. military that is tasked with building out America’s space-based defense capabilities. The contract covers creation and delivery of “space vehicles,” aka actual satellites, that will form a constellation offering global coverage of

SpaceX has secured a contract valued at just shy of $150 million by the U.S. Space Development Agency, a branch of the U.S. military that is tasked with building out America’s space-based defense capabilities. The contract covers creation and delivery of “space vehicles,” aka actual satellites, that will form a constellation offering global coverage of advance missile warning and tracking.

Alongside SpaceX, the SDA also granted a contract for the same capabilities valued at nearly $200 million for L3Harris. That company is a U.S-based defense contracted and tech co formed by the merger of Harris and L3 last year, combining the two legacy contractors to create one of the top 10 largest defense companies globally. It’s no surprise that L3Harris would be tapped for this work, but SpaceX’s award is definitely a new extension of the company’s business.

These satellites will apparently resemble the Starlink satellites that SpaceX has already been deploying to make up its own broadband internet constellation (although with different payloads, of course). Starlink is designed as a low-Earth orbit constellation that can achieve global coverage through volume and redundancy, providing benefits in terms of cost and coverage when compared to traditional geostationary satellites.

The U.S. has repeatedly expressed an interest in building out space-based defense resources that use small satellites, citing advantages in terms of speed of deployment, as well as responsiveness and the ability to build in redundancy that could be useful in case of attacks on any resources by potential enemy actors.

If SpaceX becomes a more frequent provider not only of launch services, but also of spacecraft including satellites, it could open up plenty of new lucrative long-term revenue opportunities, particular when it comes to defense and national security contracts.

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