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AI-driven energy startup Octopus hits $2B mark after $200M investment from Tokyo Gas

You’ve heard of challenger banks? Now meet the challenger energy suppliers. The U.K.’s Octopus Energy has attained a $2.06 billion valuation (£1.5 billion) after attracting a $200 million (£150 million) investment from Tokyo Gas, for a 9.7% stake, in order to launch a joint venture. Octopus will own 30% of the venture, with Tokyo Gas owning the majority. After five years of operation, Octopus is now close to the valuation of British Gas owner Centrica.

Octopus will now launch as a brand in Japan with its trademark 100% renewable electricity operation, which uses an innovative AI and data-based platform to balance loads around the grid. Its Kraken software is also licensed to Origin Energy, nPower and E.On, Good Energy and Hanwha Corporation, among others, reaching 17 million energy accounts worldwide.

“This joint venture will bring our exciting approach to renewable energy and technology to the world’s largest competitive energy market, and the investment will turbocharge our mission to revolutionize energy globally,” said chief executive Greg Jackson (pictured above) in a statement.

Australia’s Origin Energy is also set to take a stake in Octopus for $50 million (£37 million) following a larger investment in April when Origin bought a 20% stake.

Octopus says it is aiming for 100 million customers around the world by 2027, and recently launched in the U.S., Australia, Germany and New Zealand.

In the U.K., Octopus has a 5% share of the energy supply market and counts 1.8 million households in its retail portfolio, according to the company.

Tokyo Gas president Takashi Uchida said: “Through this partnership, we will contribute to the achievement of a better lifestyle for customers by realizing value creation and delivery tailored to every one of them.”

Japanese renewables lag the U.K. by 50% (renewables in Japan in 2019 accounted for 18.9% of electricity versus 37.9% in the U.K.), so the potential for growth is significant. Japanese Prime Minister Yoshihide Suga has set a target of reaching net-zero by 2050.

In the U.K., Octopus has also launched Electric Juice, an electric vehicle roaming network, and partnered with Tesla to launch Tesla Power.

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On-demand logistics company Lalamove gets $515 million Series E

Lalamove will extend its network to cover more small Chinese cities after raising $515 million in Series E funding, the on-demand logistics company announced on its site. The round was led by Sequoia Capital China, with participation from Hillhouse Capital and Shunwei Capital. All three are returning investors.

According to Crunchbase data, this brings Lalamove’s total raised so far to about $976.5 million. The company’s last funding announcement was in February 2019, when it hit unicorn status with a Series D of $300 million.

Bloomberg reported last week that Lalamove was seeking at least $500 million in new funding at $8 billion valuation, or four times what it raised last year.

Founded in 2013 for on-demand deliveries within the same city, Lalamove has since grown its business to include freight services, enterprise logistics, moving and vehicle rental. In addition to 352 cities in mainland China, Lalamove also operates in Hong Kong (where it launched), Taiwan, Vietnam, Indonesia, Malaysia, Singapore, the Philippines and Thailand. The company entered the United States for the first time in October, and currently claims about 480,000 monthly active drivers and 7.2 million monthly active users.

Part of its Series D had been earmarked to expand into India, but Lalamove was among 43 apps that were banned by the government, citing cybersecurity concerns.

In its announcement, Lalamove CEO Shing Chow said its Series E will be used to enter more fourth and fifth-tier Chinese cities, adding “we believe the mobile internet’s transformation of China’s logistics industry is far from over.”

Other companies that have recently raised significant funding rounds for their logistics operations in China include Manbang and YTO.

Lalamove’s (known in Chinese as Huolala) Series E announcement said the company experienced a 93% drop in shipment volume at the beginning of the year, due to the COVID-19 pandemic, but has experienced a strong rebound, with order volume up 82% year-over-year even before Double 11.

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Chinese autonomous driving startup WeRide bags $200M in funding

WeRide, one of China’s most-funded startups developing autonomous driving capabilities, said on Wednesday that it has raised a $200 million strategic round from Chinese bus maker Yutong.

Mega investments aren’t uncommon at companies like WeRide developing the next-generation level 4 driving standard, which denotes that the car can handle the majority of driving situations independently without human intervention.

WeRide did not disclose its valuation for this round, which is the first tranche of its Series B round, a company spokesperson told TechCrunch.

The new funding will see WeRide joining hands with Yutong, a 57-year-old company, to make autonomous-driving minibuses and city buses as well as work together on R&D, vehicle platforms and mobility services. The partners have already jointly developed a front-loaded driverless minibus for mass-production. The model, which comes without a steering wheel, accelerator or brakes, is designed for operating in urban open roads, said WeRide.

Alliance Ventures, the strategic venture capital arm of Renault-Nissan-Mitsubishi, became WeRide’s strategic investor in 2018 following the completion of the startup’s Series A round, which was partially funded by the Chinese facial recognition giant SenseTime.

Autonomous driving startups in China are racing to showcase their progress, in part to attract funding for their cash-bleeding businesses. Alibaba-backed AutoX, for instance, began deploying driverless cars on the roads in Shenzhen in a bold move. WeRide and its rivals are testing various levels of autonomous driving vehicles in both the United States and major Chinese cities where local policies are supporting the futurist transportation tech.

“Capital’s attitude is shifting and increasingly bullish about autonomous driving and its commercial future following the COVID-19 pandemic [in China]. Many investments are happening in this space because investors don’t want to miss out on any potential leaders in autonomous driving,” the WeRide spokesperson said. “Our Series B round has attracted a lot of interest.”

WeRide’s competitors include Pony.ai in its backyard Guangzhou, AutoX and Deeproute.ai in Shenzhen, Momenta in Suzhou and Baidu in Beijing, to name a few.

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Daily Crunch: Telegram prepares to monetize

Telegram will introduce ads, TikTok’s parent company is moving into drug discovery and President Trump continues his battle against Section 230. This is your Daily Crunch for December 23, 2020.

The big story: Telegram prepares to monetize

Telegram founder Pavel Durov said the messaging app will introduce advertising next year on public one-to-many channels. Durov wrote on his Telegram channel the ad platform will be “one that is user-friendly, respects privacy and allows us to cover the costs of server and traffic.”

He also pointed to premium stickers as another way that Telegram could monetize, while emphasizing that existing features will remain free and that he does not support showing ads in private chats.

In addition to discussing the company’s monetization plans, Durov said that Telegram is “approaching” 500 million users.

The tech giants

Nikola’s stock crashes after announcing cancelation of contract with Republic Services for 2,500 garbage trucks — This is the latest deal to unravel for Nikola as it tries to patch up following recent devastating reports.

TikTok parent ByteDance hiring for AI drug discovery team — “We are looking for candidates to join our team and conduct cutting-edge research in drug discovery and manufacturing powered by AI algorithms,” the company said in a job posting.

Startups, funding and venture capital

Chinese autonomous driving startup WeRide bags $200M in funding — The new funding will see WeRide joining hands with Yutong, a 57-year-old company, to make autonomous-driving minibuses and city buses.

Voyager Space Holdings to acquire majority stake in commercial space leader Nanoracks — Nanoracks provided the Bishop Airlock that was installed on the International Space Station.

Honk introduces a real-time, ephemeral messaging app aimed at Gen Z — Instead of sending texts off into the void and hoping for a response, friends on Honk communicate via messages that are shown live as you type.

Advice and analysis from Extra Crunch

Dear Sophie: What’s ahead for US immigration in 2021? — Sophie Alcorn weighs in on what’s next for U.S. visas and green cards.

Looking ahead after 2020’s epic M&A spree — This year, four deals involving chip companies totaled over $100 billion on their own.

Heading into 2021: Venture fundraising, liquidity and the everything bubble — Alex Wilhelm’s final column of the year.

(Extra Crunch is our membership program, which aims to democratize information about startups. You can sign up here.)

Everything else

Trump vetoes major defense bill, citing Section 230 — President Trump has vetoed the $740 million National Defense Authorization Act, a major bill that allocates military funds each year.

XRP cryptocurrency crashes following announcement of SEC suit against Ripple — The XRP token’s value has declined more than 42% in the past 24 hours.

TaskRabbit is resetting customer passwords after finding ‘suspicious activity’ on its network — The company later confirmed the activity was a credential stuffing attack, where existing sets of exposed or breached usernames and passwords are matched against different websites to access accounts.

The Daily Crunch is TechCrunch’s roundup of our biggest and most important stories. If you’d like to get this delivered to your inbox every day at around 3pm Pacific, you can subscribe here.

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TechCrunch editors choose their top stories of 2020

As the year draws to a close, a few members of our edit staff shared stories that defined the last 12 months for their beat.

 

Devin Coldewey: Technology played a pivotal role in the coverage of protests against police violence over the summer. Disinformation and discord spread like wildfire on social media, but so did important information and documentation of brutality, often via the newly popular medium of live streaming. 

Kirsten Korosec: Uber evolved from a company trying to cover everything in transportation to one focused on ride-hailing and delivery as it aims for profitability in 2021. To get there, Uber offloads its micromobility unit Jump, its self-driving subsidiary Uber ATG and air taxi moonshot Uber Elevate.

Brian Heater: Smartphone sales suffered a major decline as people stayed home and spent less on luxury items. The expected rebound from 5G handsets will have to wait for 2021.

Natasha Mascarenhas: Edtech, a sector that was notoriously undercapitalized, got a cash-rich spotlight as the coronavirus spurred widespread remote learning. Startups were able to raise funds, turn first profits, and finally grow from a tool to a necessity.

Darrell Etherington: SpaceX had a tremendous 2020, realizing a lot of things that they’d been working on for years. First and foremost, they launched astronauts aboard a SpaceX spacecraft for the first time. They followed that up with even more human launches, and with a huge step forward in their Starship development program. Finally, they made big progress with their Starlink broadband internet constellation. Definitely the space industry newsmakers of the year.

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No rules, no problem: DeepMind’s MuZero masters games while learning how to play them

DeepMind has made it a mission to show that not only can an AI truly become proficient at a game, it can do so without even being told the rules. Its newest AI agent, called MuZero, accomplishes this not just with visually simple games with complex strategies, like Go, Chess and Shogi, but with visually complex Atari games.

The success of DeepMind’s earlier AIs was at least partly due to a very efficient navigation of the immense decision trees that represent the possible actions in a game. In Go or Chess these trees are governed by very specific rules, like where pieces can move, what happens when this piece does that, and so on.

The AI that beat world champions at Go, AlphaGo, knew these rules and kept them in mind (or perhaps in RAM) while studying games between and against human players, forming a set of best practices and strategies. The sequel, AlphaGo Zero, did this without human data, playing only against itself. AlphaZero did the same with Go, Chess and Shogi in 2018, creating a single AI model that could play all these games proficiently.

But in all these cases the AI was presented with a set of immutable, known rules for the games, creating a framework around which it could build its strategies. Think about it: If you’re told a pawn can become a queen, you plan for it from the beginning, but if you have to find out, you may develop entirely different strategies.

This helpful diagram shows what different models have achieved with different starting knowledge. Image: DeepMind

As the company explains in a blog post about their new research, if AIs are told the rules ahead of time, “this makes it difficult to apply them to messy real world problems which are typically complex and hard to distill into simple rules.”

The company’s latest advance, then, is MuZero, which plays not only the aforementioned games but a variety of Atari games, and it does so without being provided with a rulebook at all. The final model learned to play all of these games not just from experimenting on its own (no human data) but without being told even the most basic rules.

Instead of using the rules to find the best-case scenario (because it can’t), MuZero learns to take into account every aspect of the game environment, observing for itself whether it’s important or not. Over millions of games it learns not just the rules, but the general value of a position, general policies for getting ahead and a way of evaluating its own actions in hindsight.

This latter ability helps it learn from its own mistakes, rewinding and redoing games to try different approaches that further hone the position and policy values.

You may remember Agent57, another DeepMind creation that excelled at a set of 57 Atari games. MuZero takes the best of that AI and combines it with the best of AlphaZero. MuZero differs from the former in that it does not model the entire game environment, but focuses on the parts that affect its decision-making, and from the latter in that it bases its model of the rules purely on its own experimentation and firsthand knowledge.

Understanding the game world lets MuZero effectively plan its actions even when the game world is, like many Atari games, partly randomized and visually complex. That pushes it closer to an AI that can safely and intelligently interact with the real world, learning to understand the world around it without the need to be told every detail (though it’s likely that a few, like “don’t crush humans,” will be etched in stone). As one of the researchers told the BBC, the team is already experimenting with seeing how MuZero could improve video compression — obviously a very different problem than Ms. Pac-Man.

The details of MuZero were published today in the journal Nature.

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Looking ahead after 2020’s epic M&A spree

When we examine any year in enterprise M&A, it’s tempting to highlight the biggest, gaudiest deals — and there were plenty of those in 2020. I’ve written about 34 acquisitions so far this year. Of those, 15 were worth $1 billion or more, 12 were small enough to not require that the companies disclose the price and the remainder fell somewhere in between.

Four deals involving chip companies coming together totaled over $100 billion on their own. While nobody does eye-popping M&A quite like the chip industry, other sectors also offered their own eyebrow-raising deals, led by Salesforce buying Slack earlier this month for $27.7 billion.

We are likely to see more industries consolidate the way chips did in 2020, albeit probably not quite as dramatically or expensively.

Yet in spite of the drama of these larger numbers, the most interesting targets to me were the pandemic-driven smaller deals that started popping up in May. Those small acquisitions are the ones that are so insignificant that the company doesn’t have to share the purchase price publicly. They usually involve early-stage companies being absorbed by cash-rich concerns looking for some combination of missing technology or engineering talent in a particular area like security or artificial intelligence.

It was certainly an active year in M&A, and we still might not have seen the last of it. Let’s have a look at why those minor deals were so interesting and how they compared with larger ones, while looking ahead to what 2021 M&A might look like.

Early-stage blues

It’s always hard to know exactly why an early-stage startup would give up its independence by selling to a larger entity, but we can certainly speculate on some of the reasons why this year’s rapid-fire dealing started in May. While we can never know for certain why these companies decided to exit via acquisition, we know that in April, the pandemic hit full force in the United States and the economy began to shut down.

Some startups were particularly vulnerable, especially companies low on cash in the April timeframe. Obviously companies fail when they run out of funding, and we started seeing early-stage startups being scooped up the following month.

We don’t know for sure of course if there is a direct correlation between April’s economic woes and the flurry of deals that started in May, but we can reasonably speculate that there was. For some percentage of them, I’m guessing it was a fire sale or at least a deal made under less than ideal terms. For others, maybe they simply didn’t have the wherewithal to keep going under such adverse economic conditions or the partnerships were just too good to pass up.

It’s worth noting that I didn’t cover any deals in April. But, beginning on May 7, Zoom bought Keybase for its encryption expertise; five days later Atlassian bought Halp for Slack integration; and the day after that VMware bought cloud native security startup Octarine — and we were off and running. Granted the big companies benefited from making these acquisitions, but the timing stood out.

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Bandit ML helps e-commerce businesses present the most effective offer to each shopper

Bandit ML aims to optimize and automate the process of presenting the right offer to the right customer.

The startup was part of the summer 2020 class at accelerator Y Combinator . It also raised a $1.32 million seed round in September from YC, Haystack Fund, Webb Investment Network, Liquid 2 Ventures, Jigsaw Ventures, Basecamp Fund, Pathbreaker Ventures and various angels — including what CEO Edoardo Conti said are 10 current and former Uber employees.

Conti (who founded the company with Lionel Vital and Joseph Gilley) is a former Uber software engineer and researcher himself.

The idea, as he explained via email, is that one customer might be more excited about a $5 discount, while another might be more effectively enticed by free shipping, and a third might be completely uninterested because they just made a large purchase. Using a merchant’s order history and website activity data, Bandit ML is supposed to help them determine which offer will be most effective with which shopper.

Bandit ML screenshot

Image Credits: Bandit ML

Conti acknowledged that there’s other discount-optimizing software out there, but he suggested none of them offers what Bandit ML does: “off the shelf tools that use machine learning the way giants like Uber, Amazon and Walmart do.”

He added that Bandit ML’s technology is unique in its support for full automation (“some stores sent their first batch of offers within 10 minutes of signing up”) and its ability to optimize for longer-term metrics, like purchases over a 120-day period, rather than focusing on one-off redemptions. In fact, Conti said the technology the startup uses to make these decisions is similar to the ReAgent project that he worked on at Facebook.

Bandit ML is currently focused on merchants with Shopify stores, though it also supports other stores not on Shopify, like Calii. Conti said the platform has been used to send millions of dollars’ worth of promotions since July, with one clothing company seeing a 20% increase in net revenue.

“Starting with an always-on incentive engine for every online business, we aim to build functioning out-of-the-box machine learning tools that a small online business needs to compete with the Walmarts and Amazons of the world,” he said.

 

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With a $50B run rate in reach, can anyone stop AWS?

AWS, Amazon’s flourishing cloud arm, has been growing at a rapid clip for more than a decade. An early public cloud infrastructure vendor, it has taken advantage of first-to-market status to become the most successful player in the space. In fact, one could argue that many of today’s startups wouldn’t have gotten off the ground without the formation of cloud companies like AWS giving them easy access to infrastructure without having to build it themselves.

In Amazon’s most-recent earnings report, AWS generated revenues of $11.6 billion, good for a run rate of more than $46 billion. That makes the next AWS milestone a run rate of $50 billion, something that could be in reach in less than two quarters if it continues its pace of revenue growth.

The good news for competing companies is that in spite of the market size and relative maturity, there is still plenty of room to grow.

While the cloud division’s growth is slowing in percentage terms as it comes firmly up against the law of large numbers in which AWS has to grow every quarter compared to an ever-larger revenue base. The result of this dynamic is that while AWS’ year-over-year growth rate is slowing over time — from 35% in Q3 2019 to 29% in Q3 2020 — the pace at which it is adding $10 billion chunks of annual revenue run rate is accelerating.

At the AWS re:Invent customer conference this year, AWS CEO Andy Jassy talked about the pace of change over the years, saying that it took the following number of months to grow its run rate by $10 billion increments:

123 months ($0-$10 billion) 23 months ($10 billion-$20 billion) 13 months ($20 billion-$30 billion) 12 months ($30 billion to $40 billion)

Image Credits: TechCrunch (data from AWS)

Extrapolating from the above trend, it should take AWS fewer than 12 months to scale from a run rate of $40 billion to $50 billion. Stating the obvious, Jassy said “the rate of growth in AWS continues to accelerate.” He also took the time to point out that AWS is now the fifth-largest enterprise IT company in the world, ahead of enterprise stalwarts like SAP and Oracle.

What’s amazing is that AWS achieved its scale so fast, not even existing until 2006. That growth rate makes us ask a question: Can anyone hope to stop AWS’ momentum?

The short answer is that it doesn’t appear likely.

Cloud market landscape

A good place to start is surveying the cloud infrastructure competitive landscape to see if there are any cloud companies that could catch the market leader. According to Synergy Research, AWS remains firmly in front, and it doesn’t look like any competitor could catch AWS anytime soon unless some market dynamic caused a drastic change.

Synergy Research Cloud marketshare leaders. Amazon is first, Microsoft is second and Google is third.

Image Credits: Synergy Research

With around a third of the market, AWS is the clear front-runner. Its closest and fiercest rival Microsoft has around 20%. To put that into perspective a bit, last quarter AWS had $11.6 billion in revenue compared to Microsoft’s $5.2 billion Azure result. While Microsoft’s equivalent cloud number is growing faster at 47%, like AWS, that number has begun to drop steadily while it gains market share and higher revenue and it falls victim to that same law of large numbers.

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Remembering the startups we lost in 2020

Even in a non-hell year, running a successful startup is a tremendous lift. After the events of 2020, however, no doubt many already lean businesses are hanging on by the skin of their teeth. For every company that saw increased interest in their offerings during the pandemic, there were several that simply couldn’t make it through the finish line.

We’ve put this list together for several years now. It’s not a fun task, but it seems worthwhile to commemorate the startups that have closed up shop over the past 12 months. (Some of them were acquired by larger companies before shutting down, but all of them began their life as startups, and it still felt worthwhile to mark the end of their stories.) It also offers an opportunity to examine those issues from a bit of distance to see if there are any broader takeaways for the community at large.

This year’s list is among the most diverse we’ve done, ranging from standard smaller-name closures to big blockbuster crashes like Quibi and Essential . For some, the pandemic was the final nail in the coffin, but in many cases, cracks in business models were already starting to surface well before COVID-19 ground the global economy to a screeching halt.

Atrium (2017-2020)

Total Raised: $75 million

Atrium, a 100-person legal tech startup founded by Justin Kan, shut down in March after failing to find an efficient way to replace the arduous systems of law firms. The startup even returned some of its $75.5 million in funding to its investors, including Andreessen Horowitz.

The shutdown comes after the platform had pivoted just months earlier, laying off in-house lawyers and turning into a clearer SaaS play. Ultimately, Atrium’s failure shows how difficult and unprofitable it could be to disrupt a traditional and complicated system.

The closure came just three years after it launched with the goal to build software for startups to navigate fundraising, hiring, acquisition deals and collaboration with their legal team.

Essential (2017-2020)

Total Raised: $330 million

Image Credits: Darrell Etherington

Big plans, big names and a boatload of money should have been enough to buy Essential a lengthy runway. Sure, Essential was entering a mature and oversaturated market, but the Playground-backed startup was doing so with $330 million in funding, a team of top industry executives and some genuinely innovative ideas.

When I spoke to the company at launch, an executive outlined a 10-year plan to become a major player in both the mobile and smart home categories. Ultimately, the company was able to eke out just under three years of life after coming out of stealth. And while it did give the world a promising handset, its connected home hub never arrived.

Timing, broader marketing issues and troubling allegations of sexual misconduct were all contributing factors that stopped Essential’s big plans dead in their tracks.

HubHaus (2016-2020)

Total Raised: $11.4 million

Image Credits: HubHaus

HubHaus, founded by Shruti Merchant, was a long-term housing rental platform rooted in the belief that adult dormitories would take off. The startup targeted working professionals in cities, and raised only around $11 million in known venture capital. When it came to raising a Series B, Merchant says the company struggled to close and lost investor interest due to WeWork’s failed IPO.

After then pivoting to a self-funded company, HubHaus was just finding footing when the coronavirus pandemic arrived in the United States, drastically hurting the rental market (as shown by Airbnb’s public struggles, as well). The housing company eventually decided to close down in September, leaving landlords, members and vendors in limbo and bringing on a fresh sweep of critique and controversy.

Affordable housing continues to be an issue in the Bay Area, and HubHaus’s departure from the scene underscores this truth.

Hipmunk (2010-2020)

Total Raised: $55 million

Image Credits: Hipmunk

Hipmunk, founded by Adam J. Goldstein and Reddit co-founder Steve Huffman, was one of the first travel aggregation platforms on the market. The company put together information on flights, hotels and car rental all into one place so consumers could compare and contrast prices with ease.

The focus was enough for the platform to get acquired by Concur, but now after four years, the travel startup shut down. Notably, the travel startup’s closure wasn’t necessarily tied to the coronavirus pandemic. The site officially went dark on January 23, months before lockdowns came to the United States.

IfOnly (2012-2020)

Total Raised: $51.4 million

Photo: Thomas Barwick/Getty Images

IfOnly had created a marketplaces of exclusive events — such as “goat yoga” — a business that faced obvious challenges during the pandemic. The startup was actually acquired by one of its investors, Mastercard, late last year, but the acquisition wasn’t announced until IfOnly revealed over the summer that it was shutting down.

Mastercard also said IfOnly’s team and technology are still part of its Priceless experience marketplace: “The IfOnly platform will continue to help advance our Priceless strategy and our combined team will be even better positioned and equipped to deliver exclusive experiences for cardholders globally.”

Mixer/Beam Interactive (2014-2020)

Total Raised: $520,000

Image Credits: Microsoft

Microsoft shut down its Twitch competitor Mixer this year, handing off its partnerships to Facebook Gaming. The service had its roots in the software giant’s acquisition of Beam Interactive shortly after the startup won TechCrunch’s Startup Battlefield in 2016.

Before giving up, Microsoft made some big investments in Mixer’s success, most notably signing streaming superstars Ninja and Shroud to exclusive deals. (They became free agents after the shutdown.) However, Microsoft’s gaming chief Phil Spencer said the company suffered from starting out “pretty far behind” the biggest players in the streaming market.

The Outline (2016-2020)

Total Raised: $10.2 million

Image Credits: The Outline

Despite a busy year of innovation and venture for news media platforms, The Outline, which branded itself as “the next generation version of the New Yorker” was shut down. The media site was started by Josh Topolsky and had an explicit focus on serving millennials with a digital-first news media brand.

The shutdown was part of a broader layoffs at Bustle Digital Group, which acquired the publication in 2019. Pre-acquisition, The Outline had already scaled back its editorial staff and refocused on freelance articles. (Input — a tech site that Topolsky founded for BDG — continues to publish.)

Periscope (2015-2020)

Periscope went out with more of a whimper than a bang. The startup was acquired by Twitter before it had even launched a product. With Meerkat bursting on the scene that year at SXSW, Twitter went on the offensive, buying the startup to build out its own live video offering.

Periscope’s run was decent as far as these things go, and its technology will live on as part of Twitter’s video offerings, even after the app is officially discontinued next March. But in the end, Periscope was a shell of its former self. In fact, this is a rare instance where the pandemic may have actually delayed its shutdown.

The company notes, “We probably would have made this decision sooner if it weren’t for all of the projects we reprioritized due to the events of 2020.”

PicoBrew (2010-2020)

Total Raised: $15.1 million

Image Credits: PicoBrew

The company made beer-brewing machines that used coffee pod-style PicoPaks, then expanded into other categories like coffee and tea, but never quite attracted enough customers to make the business viable. It sold its assets earlier this year to PB Funding Group — a group of lenders recruited by then-CEO Bill Mitchell in 2018 to keep it afloat.

It’s possible that PicoBrew will live on in some form, as PB Funding Group says it’s seeking buyers for the company’s patents and other intellectual property, and that it will keep the website running in the short term so that the machines don’t stop working.

Quibi (2018-2020)

Total Raised: $1.75 billion

Quibi CEO Meg Whitman speaks about the short-form video streaming service for mobile Quibi

Quibi CEO Meg Whitman speaks about the short-form video streaming service for mobile Quibi during a keynote address January 8, 2020 at the 2020 Consumer Electronics Show (CES) in Las Vegas, Nevada. (Photo by ROBYN BECK/AFP via Getty Images)

More so than any tech company in recent memory (with the possible exception of Theranos), Quibi’s existence feels like a fever dream. $1.75 billion in funding later and what do we have to show for it? “Fierce Queens,” a nature documentary about female animals. The HGTV-style program, “Murder House Flip.” And, of course, “The Shape of Pasta.” A show about pasta.

Early reports of the service’s demise seemed premature — if only because there was seemingly no way a company could burn through that much capital that quickly. By late-October, however, it was over. “All that is left now is to offer a profound apology for disappointing you and, ultimately, for letting you down,” founders Jeffrey Katzenberg and Meg Whitman wrote in an open letter.

Sometimes startup failures are bad timing. Sometimes it’s just plain bad luck. With Quibi, the diagnoses of what went wrong can be summed up in one word: everything.

Rubica (2016-2020)

Total Raised: $15 million

Rubica

Image Credits: Rubica

Rubica spun out of security company Concentric Advisors with the aim of offering tools that were more advanced than antivirus software, while still remaining accessible to individuals and small businesses. CEO and co-founder Frances Dewing said that when customers cut back on spending during the pandemic, the company tried to shift its focus to larger enterprise, but it failed to convince investors there was a business there.

“We were all really surprised given how relevant and needed this is right now,” she said. “Investors didn’t agree with that or see it in the same way.”

ScaleFactor (2014-2020)

Total Raised: $104 million

Businessman’s hands with calculator and cost at the office and Financial data analyzing counting on wood desk. Image Credits: Sarinya Pinngam/EyeEm / Getty Images

ScaleFactor was a startup claiming to offer artificial intelligence tools that could replace accountants for small businesses; it blamed the pandemic for cutting its revenue in half and forcing the company to shut down. However, former employees and customers told Forbes a different story — that ScaleFactor actually relied on human accountants (including an outsourced team in the Philippines) to do the work.

While it’s hardly unprecedented for a startup to fudge the truth about their level of automation versus human labor, this reportedly resulted in error-filled accounting for ScaleFactor clients. (Responding to a fact-checking email, former CEO Kurt Rathmann said the email was “filled with numerous factual inaccuracies and misrepresentation” and declined to comment further.)

Starsky Robotics (2015-2020)

Total Raised: $20 million

Self-driving trucks startup Starksy Robotics began with this first, and problematic truck. Image Credits: Starsky Robotics

“In 2019, our truck became the first fully-unmanned truck to drive on a live highway,” Starsky Robotics co-founder and CEO Stefan Seltz-Axmacher wrote in a Medium post in March. “And in 2020, we’re shutting down.” After five years and $20 million in funding, the autonomous trucking company shut its doors that month. It wasn’t for lack of ambition or demand — it seems safe to assume there’s still a bright future for self-driving trucks.

Ultimately, however, Starsky won’t be along for that ride — a fact Seltz-Axmacher blames largely on timing. A crowded market is certainly at play, as well, with countless companies currently pushing to bring autonomous technology to the road.

Stockwell/Bodega (2018-2020)

Total Raised: $10 million

stockwell bodega

Image Credits: Bryce Durbin

Founded in 2018 by ex-Googlers, Stockwell AI shut down after being unable to find business for its in-building smart vending machines that stocked everything from condoms to La Croix. The company blamed the “current landscape” (also known as the global pandemic we are experiencing) for its closure.

Stockwell AI, formerly known as Bodega, was well-funded and well-known, with more than $45 million in funding from investors that included NEA, GV, DCM Ventures, Forerunner, First Round and Homebrew. Still, even venture capital couldn’t make vending machines work well enough.

Trover (2011-2020)

Total Raised: $2.5 million

Image Credits: Trover

Another travel-focused startup bites the dust as the coronavirus limits the chance to safely explore the world (let alone your neighborhood). Trover, a photo-sharing hub for travelers acquired by Expedia, shut down in August. The startup was founded by Rich Barton and Jason Karas and was meant to connect people travelling to the same places. The startup had quite the life: it began out of the remains of TravelPost, a travel review site, and got scooped up by its parent company when it only had $2.5 million in funding. Unfortunately, its nine-year journey is over for now.

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