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The human-focused startups of the hellfire

Disasters may not always be man-made, but they are always responded to by humans. There’s a whole panoply of skills and professions required today to respond to even the tiniest emergency, and that doesn’t even include the needs during pre-disaster planning and post-disaster recovery. It’s not a very remunerative industry for most and the mental health effects from stress can linger for decades, but the mission at the core of this work — to help people in the time of their greatest need — is what continues to attract many to partake in this never-ending battle anyway.

In the last three parts of this series on the future of technology and disaster response, I’ve focused on, well, technology, and specifically the sales cycle for new products, the sudden data deluge now that Internet of Things (IoT) is in full force, and the connectivity that allows that data to radiate all around. What we haven’t looked at enough so far is the human element: the people who actually respond to disasters as well as what challenges they face and how technology can help them.

So in this fourth and final part of the series, we’ll look at four areas where humans and technology intersect within disaster response and what future opportunities lie in this market: training and development, mental health, crowdsourced responses to disasters, and our doomsday future of hyper-complex emergencies.

Training in a hellfire

Most fields have linear approaches to training. To become a software engineer, students learn some computer science theory, add in some programming practice, and voilà (note: your mileage may vary). To become a medical doctor, aspiring physicians take an undergraduate curriculum teeming with biology and chemistry, head to medical school for two deadened years of core anatomy and other classes and then switch into clinical rotations, a residency, and maybe fellowships.

But how do you train someone to respond to emergencies?

From 911 call takers to EMTs and paramedics to emergency planning officials and the on-the-ground responders who are operating in the center of the storm as it were, there are large permutations in the skills required to do these jobs well. What’s necessary aren’t just specific hard skills like using call dispatch software or knowing how to upload video from a disaster site, but also critically-important softer skills as well: precisely communicating, having sangfroid, increasing agility, and balancing improvisation with consistency. The chaos element also can’t be overstated: every disaster is different, and these skills must be viscerally recombined and exercised under extreme pressure with frequently sparse information.

A whole range of what might be dubbed “edtech” products could serve these needs, and not just exclusively for emergency management.

Communications, for instance, isn’t just about team communications, but also communicating with many different constituencies. Aaron Clark-Ginsberg, a social scientist at RAND Corporation, said that “a lot of these skills are social skills — being able to work with different groups of people in culturally and socially appropriate ways.” He notes that the field of emergency management has heightened attention to these issues in recent years, and “the skillset we need is to work with those community structures” that already exist where a disaster strikes.

As we’ve seen in the tech industry the last few years, cross-cultural communication skills remain scarce. One can always learn this just through repeated experiences, but could we train people to develop empathy and understanding through software? Can we develop better and richer scenarios to train emergency responders — and all of us, really — on how to communicate effectively in widely diverging conditions? That’s a huge opportunity for a startup to tackle.

Emergency management is now a well-developed career path. “The history of the field is very fascinating, [it’s] been increasingly professionalized, with all these certifications,” Clark-Ginsberg said. That professionalization “standardizes emergency response so that you know what you are getting since they have all these certs, and you know what they know and what they don’t.” Certifications can indicate singular competence, but perhaps not holistic assessment, and it’s a market that offers opportunities for new startups to create better assessments.

Like many of us, responders get used to doing the same thing over and over again, and that can make training for new skills even more challenging. Michael Martin of emergency data management platform RapidSOS describes how 911 call takers get used to muscle memory, “so switching to a new system is very high-risk.” No matter how bad existing software interfaces are, changing them will very likely slow every single response down while increasing the risk of errors. That’s why the company offers “25,000 hours a year for training, support, integration.” There remains a huge and relatively fragmented market for training staff as well as transitioning them from one software stack to another.

Outside these somewhat narrow niches, there is a need for a massive renaissance in training in this whole area. My colleague Natasha Mascarenhas recently wrote an EC-1 on Duolingo, an app designed to gamify and entrance students interested in learning second languages. It’s a compelling product, and there is no comparative training system for engaging the full gamut of first responders.

Art delaCruz, COO and president of Team Rubicon, a non-profit which assembles teams of volunteer military veterans to respond to natural disasters, said that it’s an issue his organization is spending more time thinking about. “Part of resilience is education, and the ability to access information, and that is a gap that we continue to close on,” he said. “How do you present information that’s more simple than [a learning management system]?” He described the need for “knowledge bombs like flash cards” to regularly provide responders with new knowledge while testing existing ideas.

There’s also a need to scale up best practices rapidly across the world. Tom Cotter, director of emergency response and preparedness at Project Hope, a non-profit which empowers local healthcare workers in disaster-stricken and impoverished areas, said that in the context of COVID-19, “a lot of what was going to be needed [early on] was training — there were huge information gaps at the clinical level, how to communicate it at a community level.” The organization developed a curriculum with Brown University’s Watson Institute in the form of interactive PowerPoints that were ultimately used to train 100,000 healthcare workers on the new virus, according to Cotter.

When I look at the spectrum of edtech products existing today, one of the key peculiarities is just how narrow each seems to focus. There are apps for language learning and for learning math and developing literacy. There are flash card apps like Anki that are popular among medical students, and more interactive approaches like Labster for science experiments and Sketchy for learning anatomy.

Yet, for all the talk of boot camps in Silicon Valley, there is no edtech company that tries to completely transform a student in the way that a bona fide boot camp does. No startup wants to holistically develop their students, adding in hard skills while also advancing the ability to handle stress, the improvisation needed to confront rapidly-changing environments, and the skills needed to communicate with empathy.

Maybe that can’t be done with software. Maybe. Or perhaps, no founder has just had the ambition so far to go for broke — to really revolutionize how we think about training the next generation of emergency management professionals and everyone else in private industry who needs to handle stress or think on their feet just as much as frontline workers.

That’s the direction where Bryce Stirton, president and co-founder of public-safety company Responder Corp, has been thinking about. “Another area I am personally a fan of is the training space around VR,” he said. “It’s very difficult to synthesize these stressful environments,” in areas like firefighting, but new technologies have “the ability to pump the heart that you need to experience in training.” He concludes that “the VR world, it can have a large impact.”

Healing after disaster

When it comes to trauma, few fields face quite the challenge as emergency response. It’s work that almost by definition forces its personnel to confront some of the most harrowing scenes imaginable. Death and destruction are given, but what’s not always accounted for is the lack of agency in some of these contexts for first responders — the family that can’t be saved in time so a 911 call taker has to offer final solace, or the paramedics who don’t have the right equipment even as they are showing up on site.

Post-traumatic stress is perhaps the most well-known and common mental health condition facing first responders, although it is hardly the only one. How to ameliorate and potentially even cure these conditions represents a burgeoning area of investment and growth for a number of startups and investors.

Risk & Return, for instance, is a venture firm heavily focused on companies working on mental health as well as human performance more generally. In my profile of the firm a few weeks ago, managing director Jeff Eggers said that “We love that type of technology since it has that dual purpose: going to serve the first responder on the ground, but the community is also going to benefit.”

Two examples of companies from its portfolio are useful here to explore as examples of different pathways in this category. The first is Alto Neuroscience, which is a stealthy startup founded by Amit Etkin, a multidisciplinary neuroscientist and psychiatrist at Stanford, to create new clinical treatments to post-traumatic stress and other conditions based on brainwave data. Given its therapeutic focus, it’s probably years before testing and regulatory approvals come through, but this sort of research is on the cutting-edge of innovation here.

The second company is NeuroFlow, which is a software startup using apps to guide patients to better mental health outcomes. Through persistent polling, testing, and collaboration with practitioners, the company’s tools allow for more active monitoring of mental health — looking for emerging symptoms or relapses in even the most complicated cases. NeuroFlow is more on the clinical side, but there are obviously a wealth of wellness startups that have percolated in recent years as well like Headspace and Calm.

Outside of therapeutics and software though, there are entirely new frontiers around mental health in areas like psychedelics. That was one of the trends I called out as a top five area for investment in the 2020s earlier this year, and I stand by that. We’ve also covered a startup called Osmind which is a clinical platform for managing patients with a psychedelic focus.

Risk & Return itself hasn’t made an investment in psychedelics yet, but Bob Kerrey, the firm’s board chairman and the former co-chair of the 9/11 Commission as well as former governor and senator of Nebraska, said that “it’s difficult to do this if you are the government, but easier to do this in the private sector.”

Similar to edtech, mental health startups might get their start in the first responder community, but they are hardly limited to this population. Post-traumatic stress and other mental health conditions affect wide swaths of the world’s population, and solutions that work in one community can often translate more broadly to others. It’s a massive, massive market, and one that could potentially transform the lives of millions of people for the better.

Before moving on, there’s one other area of interest here, and that is creating impactful communities for healing. First responders and military veterans experience a mission and camaraderie in their service that they often lack once they are in new jobs or on convalescence. DelaCruz of Team Rubicon says that one of the goals of bringing veterans to help in disaster regions is that the veterans themselves “reconnect with identity and community — we have these incredible assets in these men and women who have served.” It’s not enough to just find a single treatment per patient — we oftentimes need to zoom out to the wider population to see how mental health ripples out.

Helping people find purpose may not be the easiest challenge to solve as a startup, but it’s certainly a major challenge for many, and an area fermenting with new approaches now that the the social networking wave has reached its nadir.

Crowdsourcing disaster response

Decentralization has been all the rage in tech in recent years — just mention the word blockchain in a TechCrunch article to get at least 50 PR emails about the latest NFT for a toilet stain. While there is obviously a lot of noise, one area where substance may pan out well is in disaster response.

If the COVID-19 pandemic showed anything, it was the power of the internet to aggregate as well as verify data, build dashboards, and deliver highly-effective visualizations of complex information for professionals and laypeople alike. Those products were developed by people all around the world often from the comfort of their own homes, and they demonstrate how crowds can quickly draft serious labor to help respond to crises as they crop up.

Jonathan Sury, project director at the National Center for Disaster Preparedness at the Earth Institute at Columbia University, said that “COVID has really blown so much of what we think about out of the water.” With so many ways to collaborate online right now, “that’s what I would say is very exciting … and also practical and empowering.”

Clark-Ginsberg of RAND calls it the “next frontier of disaster management.” He argues that “if you can use technology to broaden the number of people who can participate in disaster management and respond to disasters,” then we might be reaching an entirely new paradigm for what effective disaster response will look like. “Formal structures [for professional frontline workers] have strengthened and that has saved lives and resources, but our ability to engage with everyday responders is still something to work on.”

Many of the tools that underpin these crowdsourced efforts don’t even focus on disasters. Sury pointed to Tableau and data visualization platform Flourish as examples of the kinds of tools that remote, lay first responders are using. There are now quite robust tools for tabular data, but we’re still relatively early in the development of tools for handling mapping data — obviously critical in the crisis context. Unfolded.ai, which I profiled earlier this year, is working on building scalable geospatial analytics in the browser. A lot more can be done here.

Oftentimes there are ways to coordinate the coordinators. Develop for Good, which I looked at late last year, is a non-profit designed to connect enterprising computer science students to software and data projects at non-profits and agencies that needed help during the pandemic. Sometimes these coordinators are non-profit orgs, and sometimes, just very active Twitter accounts. There’s a lot more experimentation possible on how to coordinate efforts in a decentralized way while still engaging with professional first responders and the public sector.

Speaking of decentralization, it’s even possible that blockchain could play a role in disaster and crisis response. Many of these opportunities rest on using blockchain for evidence collection or for identity. For example, earlier this week Leigh Cuen took a careful look at an at-home sexual assault evidence collection kit from Leda Health that uses the blockchain to establish a clear time for when a sample was collected.

There is a lot more potential to harness the power of crowdsourcing and decentralization, and many of these projects have applications far outside disaster management itself. These tools not only solve real problems — they provide real community to people who may not be related to the disaster itself, but are enthusiastic to do their part to help others.

The black swans of black swans

In terms of startups, the three markets I identified — better training, better mental health, and better crowdsourcing collaboration tools, particularly around data — collectively represent a very compelling set of markets that will not only be valuable for founders, but can rapidly improve lives.

In his book Normal Accidents, Charles Perrow talks about how an increasing level of complexity and coupledness in our modern technical systems all but guarantee disasters to occur. Add in a warming world as well as the intensity, frequency, and just plain unusualness of disasters arriving each year, and we are increasingly seeing entirely novel forms of emergencies we have never responded to before. Take most recently the ultra-frigid conditions in Texas that sapped power from its grid, leading to statewide blackouts for hours and days in some parts of the state.

Clark-Ginsberg said, “We are seeing these risks emerge that aren’t just typical wildfires — where we have a response structure that we can easily setup and manage the hazard, [we’re] very good at managing these typical disasters. There are more of these atypical disasters cropping up, and we have a very hard time setting up structures for this — the pandemic is a great example of that.”

He describes these challenges as “trans-boundary risk management,” disasters that cross bureaucratic lines, professions, societies, and means of action. “It takes a certain agility and the ability to move quickly and the ability to work in ways outside typical bureaucratic structures, and that is just challenging full stop,” he said.

The Future of Technology and Disaster Response

Even as we begin to have better point solutions to the individual problems that disasters and their responses require, we can’t be remiss in neglecting the more systematic challenges that these emergencies are bringing to the fore. We have to start thinking about bringing humans together faster and in more novel ways to be the most effective, while coupling them flexibly and with agility to the best tools that meet their needs in the moment. That’s probably not literally “a startup,” but more a way of thinking about what it means to construct a disaster response fresh given the information available.

Amanda Levin, a policy analyst at the Natural Resources Defense Council, said that “even if we mitigate, there are huge pressures and huge impacts today from a warming world … even if we stop emissions today, [they] will still persist.” As one of my interviewees in government service who asked to go unnamed noted about disaster response, “You always are coming up short somewhere.” The problems are only getting harder, and we humans need much better tools to match the man-made trials we created for ourselves. That’s the challenge — and opportunity — for a tough century ahead.

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Fluent Forever raises $4.9M for its language learning system

Fluent Forever, a startup that uses a novel learning system to help its users master a new language faster, has raised a $4.9 million funding round led by Denver-based Stout Street Capital. Other investors in this round include The Syndicate, LAUNCH, Mana Ventures, Noveus VC, Flight.VC, Insta VC, UpVentures, Firebrand Ventures, Cultivation Capital, Spero Ventures and Lofty Ventures.

In many ways, Fluent Forever is a direct competitor to Duolingo, Babbel and similar online language learning services. What sets it apart is a focus on a personalized learning system that emphasizes ear training, visual aids and something akin to spaced-repetition for helping you memorize new words and phrases. It’s a paid service (after a 14-day free trial) with subscriptions starting at $10 per month for a monthly subscription and the usual discounts for longer-term commitments.

To teach himself his first languages, the company’s founder and CEO Gabriel Wyner used the popular flashcard service Anki, wrote a book about his approach, and taught workshops on language learning using his system with Anki. But as he noted, Anki is a serious tool, and simply learning how to get the most out of it takes a lot of time and energy.

Image Credits: Fluent Forever

“I’ve watched everyone else fail at language learning,” he told me. “And the first thought is, okay, well, if you just learn how to do it right, then that’s a fixable thing. That’s exciting. And then once you have a solution for people and they’re all excited about it — but then you watch them fail because of IT reasons. That’s extra frustrating.”

In many ways then, Fluent Forever uses Wyner’s flashcard approach — because building those flashcards by hand is at the core of his learning system — and turns it into a far-easier-to-use application.

What people want, Wyner acknowledged, is a tool where you just press some buttons and learn something. But that doesn’t work. “I had to have a really strong reaction to this — a really strong answer — and say, ‘absolutely not. That is the one thing that teaches you is building it.’ ”

Wyner is not afraid to compare his approach to Duolingo’s and argues that its focus on translation exercises doesn’t translate to real language skills in the long run. At the same time, he freely acknowledges that the Duolingo user experience and gamification are far better than Fluent Forever. But he also believes that learners see far better results with his system.

Image Credits: Fluent Forever

“We ask [our users]: ‘Why are you with us? Why would you pay for us when you could just get Duolingo for free?” What they come back with is, ‘yeah, your product is rough around the edges. I wish you would fix this, this and that, but you had me thinking in Spanish in two weeks,” Wyner said.

Fluent Forever currently supports nine languages: Japanese, French, Russian, Mexican and Spanish Spanish, Italian, Korean, German and Brazilian Portuguese, with Dutch being the next language the team is tackling.

As Wyner told me, the company had trouble raising in 2019, in part because the service was seeing pretty flat growth at the time. “People are very skeptical about language learning — that is not a sexy field. People don’t like it. The idea of jumping and trying to be competitive with Duolingo was just not appealing to anyone,” he told me. Come 2020, though, growth picked up, even before the COVID pandemic. At the same time, Fluent Forever also participated in Jason Calacanis’ Launch Accelerator.

Looking ahead, Wyner tells me that Fluent Forever is looking at ways to bring live tutors into the loop. Live tutoring online has been done before, of course, and there are some companies like Preply that specialize in it already, but what Fluent Forever wants to do is combine the online language learning service with short live sessions and then use the online component to go back to that conversation over the course of a week or so. One advantage here is that these users — who will likely pay a premium for the live service — will also use their time with live tutors to create their own personalized sentences in the Fluent Forever system, which could then over time become content that’s available to all users, too.

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Remembering the startups we lost in 2019

All manner of startups fail for all manner of reasons. But there’s one constant: this is an incredibly difficult business. Launching a successful company isn’t just a matter of drive and finding the right people (though both, clearly, are important). Doing well in this business requires the stars to align perfectly on a billion different things.

A cursory look at this year’s batch of companies doesn’t find any story quite as spectacular as last year’s big Theranos flameout, which gave us a best-selling book, documentary, podcast series and upcoming Adam McKay/Jennifer Lawrence film. Some, like MoviePass, however, may have come close.

And for every Theranos, there are dozens of stories of hardworking founders with promising products that simply couldn’t make it to the finish line. There’s also room for debate about what is and isn’t a startup. For our purposes, we’re focusing here on independent startups, not digital initiatives from larger companies — though in at least one case, the startup was acquired by a larger company before shutting down.

So without further ado, here are some of the biggest and most fascinating startups that closed up shop in 2019. 

Anki (2010 – 2019)

Total raised: $182 million

In 2013, a promising young hardware startup showcased a new generation of slot cars onstage at the World Wide Developer Conference keynote. It was quite an honor for a young company. Apple was clearly impressed with how Overdrive pushed the limits of what could be done on the iPhone.

Three years later, Anki released Cozmo. The plucky little robot was the result of large investment, including the hiring of ex-Pixar and Dreamworks animators brought on board to craft a high range of emotions in the robot’s eyes. In late 2018, the company launched the similar but adult-focused Vector robot. By April 2019, Anki had shut its doors, in spite of selling 1.5 million robots and “hundreds of thousands” of Cozmo models.

Chariot (2014 – 2019)

Total raised: $3 million, acquired by Ford in 2017

Chariot was a shuttle startup hoping to reinvent mass transit with a fleet of vans for commuters. The routes, supposedly, were determined based on a “crowdsourced” vote.

After acquiring the service two years ago, Ford shut it down at the beginning of 2019. The company didn’t offer many details, except to say that “in today’s mobility landscape, the wants and needs of customers and cities are changing rapidly.”

Daqri (2010 – 2019)

Total raised: $132 million

Daqri, another high-flying, heavily funded AR headset business, shut its doors around September and completed an asset sale. The company is one of many in the sector that failed to succeed in its efforts to court enterprise customers, as well as in its efforts to compete with Magic Leap, Microsoft and others.

Daqri was, at one point, speaking with a large private equity firm about financing ahead of a potential IPO, but as the technical realities facing other AR companies came to light, the firm backed out and the deal crumbled, according to earlier TechCrunch reporting. Sadly, Daqri wasn’t the only AR business to crumble this year.

HomeShare

Total raised: $4.7 million

HomeShare

HomeShare tried to deal with the challenge of rapidly rising housing costs by matching roommates who shared apartments split into “micro-rooms.” The company said that as of March, it had about 1,000 active residents.

As part of the shutdown, HomeShare said residents would not be getting back the deposits for their partitions — but they would be able to keep the divider or sell it.

Jibo (2012 – 2018/19)

Total raised: $72.7 million

Between Anki and Jibo, you could say it was a tough year for consumer social robots. But then, there’s never been a great year for the category. Not yet, at least. Like the sad death of the original Aibo before it, Jibo’s end was punctuated by the incredibly depressing nature of watching an adorable robot friend draw its final breath. Jibo did just that in April, telling consumers, “I want to say I’ve really enjoyed our time together. Thank you very, very much for having me around.”

Jibo technically died in late-2018, but we’re making an exception due to the dramatic nature of its demise. The end came in spite of a successful crowdfunding campaign and a healthy amount of venture capital raised. In spite of it all, the startup was forced to lay off most of its staff and then, ultimately, send Jibo upstate to live on the robo-farm.

MoviePass (2011 – 2019)

Total raised: $68.7 million, acquired by Helios and Matheson in 2017

Image: Bryce Durbin / TechCrunch

Holy hell. Where to even start with this one? When we were putting this list together, one TechCruncher remarked that he swore MoviePass shut down years ago. That’s because (not unlike some current political events), the ticket subscription service’s magnificent train wreck of a demise appeared to unfold over the course of several years, in excruciating slow motion. We wrote a lot about it. A lot, a lot.

In fact, there seemed to be a new disaster every week, as the company hemorrhaged money, limited its service, experience outages, borrowed even more money, was forced to enter a kind of zombie state and had a massive data breech. Oh, and then there was the John Gotti movie it financed that was arguably even worse. By the end of it all, MoviePass’ ultimate demise almost felt like an act of mercy.

Munchery (2010 – 2019)

Total raised: $125 million

One of the first startup scandals of 2019 involved a once well-known meal delivery startup, Munchery . After the business emailed its customers notifying them of its imminent shutdown, its vendors came forward with a slew of accusations. Namely, the food delivery startup took advantage of them in its final hours, knowingly allowing them to continue making deliveries it couldn’t pay for.

The company’s sudden demise sparked a debate around accountability. While the CEO and its venture capital investors stayed largely silent, its vendors cried out for an explanation and even protested outside the offices of Sherpa Capital, one of Munchery’s backers, in search of answers and payments.

Nomiku (2012 – 2019)

Total raised: $145,000

One of the most recent additions to this list, Bay Area-based food startup Nomiku called it quits earlier this month. The company helped pioneer the consumer sous vide category, only to see the market flooded by competing devices. In multiple successful Kickstarter campaigns totaling $1.3 million, backing from Samsung Ventures and an attempted pivot into meal plans, the startup just couldn’t survive.

“The total climate for food tech is different than it used to be,” CEO Lisa Fetterman told TechCrunch. “There was a time when food tech and hardware were much more hot and viable. I think a company can survive a few hurdles, and a few challenges [ …] For me, it was the perfect storm of all these things.”

ODG (1999 – 2019)

Total raised: $58 million

A pioneer in the AR glasses space, news emerged of Osterhout Design Group’s (ODG) demise in the first few weeks of January. Only a couple of years ago, the company raised a $58 million financing — less than a year later, it had burned through its funding and couldn’t pay employees. By early 2018, ODG had lost half of its workforce as it sought loans to pay back employees. By early 2019, only a skeleton crew awaited a patent sale after acquisitions from several large tech companies, including Facebook and Magic Leap, fell through.

“I hope Magic Leap is a huge success. I want everyone in AR to be a huge success,” Osterhout said in an interview with TechCrunch in 2017. “[Augmented reality] is going to be transformative.”

Omni (2014 – 2019)

Total raised: $35.3 million

The startup began as a physical storage company, then tried to pivot after selling off its physical storage operations to competitor Clutter in May — it tried, unsuccessfully, to build a white-label software platform that would allow brick-and-mortar merchants to operate their own businesses for renting and selling products.

As part of the shutdown, roughly 10 Omni engineers were hired by Coinbase.

Scaled Inference (2014 – 2019)

Total raised: $17.6 million 

Founded by former Googlers Olcan Sercinoglu and Dmitry Lepikhin, Scaled Inference made headlines in 2014 with a plan to build machine learning and artificial intelligence technology similar to what’s used internally by companies like Google, and making it available as a cloud service that can be used by anyone. The ambitions were grand and attracted investors like Felicis Ventures, Tencent and Khosla Ventures.

Unfortunately, the company was forced to call it quits recently. Former CEO Sercinoglu tells us the shutdown was a result of a lack of funding due to insufficient commercial traction. “We were working on various options until the last minute and retained the team as long as we could, but it did not work out. On the plus side, we were able to be transparent with the team throughout the process,” he said.

Sinemia (2015 – 2019)

Total raised: $1.9 million

Sinemia

It was a rough year for MoviePass -style movie ticket subscription services in general. Sinemia seemed at first to be a more sustainable competitor, but it was plagued by subscriber complaints and even lawsuits around app issues, hidden charges and policies for shuttering accounts.

In April, the company announced that it was ending U.S. operations. To be clear, it did not say that it was shutting down entirely (much of its staff was based in Turkey), but the company’s website has since gone offline. If Sinemia survives in some form, it has disappeared from view.

Unicorn Scooters (2018 – 2019)

Total raised: $150,000

Unicorn Scooters was one of the first fatalities of the electric scooter craze of 2018, though certainly not the last. As the story goes, the business spent way too much money on Facebook and Google ads; the startup quickly shut down with no money left over to issue refunds for more than 300 of its $699 scooters that had been ordered.

The not-so-aptly named Unicorn had completed the Y Combinator startup accelerator only a few months before it called it quits, likely making it one of the fastest YC grads to shutter post-graduation. “Unfortunately, the cost of the ads were just too expensive to build a sustainable business,” Unicorn’s CEO Nick Evans wrote, according to The Verge. “And as the weather continued to get colder throughout the US and more scooters from other companies came on to the market, it became harder and harder to sell Unicorns, leading to a higher cost for ads and fewer customers.”

Vreal (2015 – 2019)

Total raised: $15 million

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via @VrealOfficial twitter

Vreal was an ambitious game-streaming platform that aimed to let VR users explore the worlds in which live-streamers were playing. Those users could walk around streamers as avatars, or they could explore on their own as passive observers while listening to the live-streamer blast their way through zombies.

“Unfortunately, the VR market never developed as quickly as we all had hoped, and we were definitely ahead of our time,” the company said in a blog post. “As a result, Vreal is shutting down operations and our wonderful team members are moving on to other opportunities.”

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The ultimate guide to gifting STEM toys: tons of ideas for little builders

The holiday season is here again, touting all sorts of kids’ toys that pledge to pack ‘STEM smarts’ in the box, not just the usual battery-based fun.

Educational playthings are nothing new, of course. But, in recent years, long time toymakers and a flurry of new market entrants have piggybacked on the popularity of smartphones and apps, building connected toys for even very young kids that seek to tap into a wider ‘learn to code’ movement which itself feeds off worries about the future employability of those lacking techie skills.

Whether the lofty educational claims being made for some of these STEM gizmos stands the test of time remains to be seen. Much of this sums to clever branding. Though there’s no doubt a lot of care and attention has gone into building this category out, you’ll also find equally eye-catching price-tags.

Whatever STEM toy you buy there’s a high chance it won’t survive the fickle attention spans of kids at rest and play. (Even as your children’s appetite to be schooled while having fun might dash your ‘engineer in training’ expectations.) Tearing impressionable eyeballs away from YouTube or mobile games might be your main parental challenge — and whether kids really need to start ‘learning to code’ aged just 4 or 5 seems questionable.

Buyers with high ‘outcome’ hopes for STEM toys should certainly go in with their eyes, rather than their wallets, wide open. The ‘STEM premium’ can be steep indeed, even as the capabilities and educational potential of the playthings themselves varies considerably.

At the cheaper end of the price spectrum, a ‘developmental toy’ might not really be so very different from a more basic or traditional building block type toy used in concert with a kid’s own imagination, for example.

While, at the premium end, there are a few devices in the market that are essentially fully fledged computers — but with a child-friendly layer applied to hand-hold and gamify STEM learning. An alternative investment in your child’s future might be to commit to advancing their learning opportunities yourself, using whatever computing devices you already have at home. (There are plenty of standalone apps offering guided coding lessons, for example. And tons and tons of open source resources.)

For a little DIY STEM learning inspiration read this wonderful childhood memoir by TechCrunch’s very own John Biggs — a self-confessed STEM toy sceptic.

It’s also worth noting that some startups in this still youthful category have already pivoted more toward selling wares direct to schools — aiming to plug learning gadgets into formal curricula, rather than risking the toys falling out of favor at home. Which does lend weight to the idea that standalone ‘play to learn’ toys don’t necessarily live up to the hype. And are getting tossed under the sofa after a few days’ use.

We certainly don’t suggest there are any shortcuts to turn kids into coders in the gift ideas presented here. It’s through proper guidance — plus the power of their imagination — that the vast majority of children learn. And of course kids are individuals, with their own ideas about what they want to do and become.

The increasingly commercialized rush towards STEM toys, with hundreds of millions of investor dollars being poured into the category, might also be a cause for parental caution. There’s a risk of barriers being thrown up to more freeform learning — if companies start pushing harder to hold onto kids’ attention in a more and more competitive market. Barriers that could end up dampening creative thinking.

At the same time (adult) consumers are becoming concerned about how much time they spend online and on screens. So pushing kids to get plugged in from a very early age might not feel like the right thing to do. Your parental priorities might be more focused on making sure they develop into well rounded human beings — by playing with other kids and/or non-digital toys that help them get to know and understand the world around them, and encourage using more of their own imagination.

But for those fixed on buying into the STEM toy craze this holiday season, we’ve compiled a list of some of the main players, presented in alphabetical order, rounding up a selection of what they’re offering for 2018, hitting a variety of price-points, product types and age ranges, to present a market overview — and with the hope that a well chosen gift might at least spark a few bright ideas…


Adafruit Kits

Product: Metro 328 Starter Pack 
Price: $45
Description: Not a typical STEM toy but a starter kit from maker-focused and electronics hobbyist brand Adafruit. The kit is intended to get the user learning about electronics and Arduino microcontrollers to set them on a path to being a maker. Adafruit says the kit is designed for “everyone, even people with little or no electronics and programming experience”. Though parental supervision is a must unless you’re buying for a teenager or mature older child. Computer access is also required for programming the Arduino.

Be sure to check out Adafruit’s Young Engineers Category for a wider range of hardware hacking gift ideas too, from $10 for a Bare Conductive Paint Pen, to $25 for the Drawdio fun pack, to $35 for this Konstruktor DIY Film Camera Kit or $75 for the Snap Circuits Green kit — where budding makers can learn about renewable energy sources by building a range of solar and kinetic energy powered projects. Adafruit also sells a selection of STEM focused children’s books too, such as Python for Kids ($35)
Age: Teenagers, or younger children with parental supervision


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Anki

Product: Cozmo
Price: $180
Description: The animation loving Anki team added a learn-to-code layer to their cute, desktop-mapping bot last year — called Cozmo Code Lab, which was delivered via free update — so the cartoonesque, programmable truck is not new on the scene for 2018 but has been gaining fresh powers over the years.

This year the company has turned its attention to adults, launching a new but almost identical-looking assistant-style bot, called Vector, that’s not really aimed at kids. That more pricey ($250) robot is slated to be getting access to its code lab in future, so it should have some DIY programming potential too.
Age: 8+


Dash Robotics

Product: Kamigami Jurassic World Robot
Price: ~$60
Description: Hobbyist robotics startup Dash Robotics has been collaborating with toymaker Mattel on the Kamigami line of biologically inspired robots for over a year now. The USB-charged bots arrive at kids’ homes in build-it-yourself form before coming to programmable, biomimetic life via the use of a simple, icon-based coding interface in the companion app.

The latest addition to the range is dinosaur bot series Jurassic World, currently comprised of a pair of pretty similar looking raptor dinosaurs, each with light up eyes and appropriate sound effects. Using the app kids can complete challenges to unlock new abilities and sounds. And if you have more than one dinosaur in the same house they can react to each other to make things even more lively.
Age: 8+


Kano

Product: Harry Potter Coding Kit
Price: $100
Description: British learn-to-code startup Kano has expanded its line this year with a co-branded, build-it-yourself wand linked to the fictional Harry Potter wizard series. The motion-sensitive e-product features a gyroscope, accelerometer, magnetometer and Bluetooth wireless so kids can use it to interact with coding content on-screen. The company offers 70-plus challenges for children to play wizard with, using wand gestures to manipulate digital content. Like many STEM toys it requires a tablet or desktop computer to work its digital magic (iOS and Android tablets are supported, as well as desktop PCs including Kano’s Computer Kit Touch, below)
Age: 6+

Product: Computer Kit Touch
Price: $280
Description: The latest version of Kano’s build-it-yourself Pi-powered kids’ computer. This year’s computer kit includes the familiar bright orange physical keyboard but now paired with a touchscreen. Kano reckons touch is a natural aid to the drag-and-drop, block-based learn-to-code systems it’s putting under kids’ fingertips here. Although its KanoOS Pi skin does support text-based coding too, and can run a wide range of other apps and programs — making this STEM device a fully fledged computer in its own right
Age: 6-13



Lego

Product: Boost Creative Toolbox
Price: $160
Description: Boost is Lego’s relatively recent foray into offering a simpler robotics and programming system aimed at younger kids vs its more sophisticated and expensive veteran Mindstorms creator platform (for 10+ year olds). The Boost Creative Toolbox is an entry point to Lego + robotics, letting kids build a range of different brick-based bots — all of which can be controlled and programmed via the companion app which offers an icon-based coding system.

Boost components can also be combined with other Lego kits to bring other not-electronic kits to life — such as its Stormbringer Ninjago Dragon kit (sold separately for $40). Ninjago + Boost means = a dragon that can walk and turn its head as if it’s about to breathe fire
Age: 7-12


littleBits

Product: Avengers Hero Inventor Kit
Price: $150
Description: This Disney co-branded wearable in kit form from the hardware hackers over at littleBits lets superhero-inspired kids snap together all sorts of electronic and plastic bits to make their own gauntlet from the Avengers movie franchise. The gizmo features an LED matrix panel, based on Tony Stark’s palm Repulsor Beam, they can control via companion app. There are 18 in-app activities for them to explore, assuming kids don’t just use amuse themselves acting out their Marvel superhero fantasies
Age: 8+

It’s worth noting that littleBits has lots more to offer — so if bringing yet more Disney-branded merch into your home really isn’t your thing, check out its wide range of DIY electronics kits, which cater to various price points, such as this Crawly Creature Kit ($40) or an Electronic Music Inventor Kit ($100), and much more… No major movie franchises necessary


Makeblock

Product: Codey Rocky
Price: $100
Description: Shenzhen-based STEM kit maker Makeblock crowdfunded this emotive, programmable bot geared towards younger kids on Kickstarter. There’s no assembly required, though the bot itself can transform into a wearable or handheld device for game playing, as Codey (the head) detaches from Rocky (the wheeled body).

Despite the young target age, the toy is packed with sophisticated tech — making use of deep learning algorithms, for example. While the company’s visual programming system, mBlock, also supports Python text coding, and allows kids to code bot movements and visual effects on the display, tapping into the 10 programmable modules on this sensor-heavy bot. Makeblock says kids can program Codey to create dot matrix animations, design games and even build AI and IoT applications, thanks to baked in support for voice, image and even face recognition… The bot has also been designed to be compatible with Lego bricks so kids can design and build physical add-ons too
Age: 6+

Product: Airblock
Price: $100
Description: Another programmable gizmo from Makeblock’s range. Airblock is a modular and programmable drone/hovercraft so this is a STEM device that can fly. Magnetic connectors are used for easy assembly of the soft foam pieces. Several different assembly configurations are possible. The companion app’s block-based coding interface is used for programming and controlling your Airblock creations
Age: 8+



Ozobot

Product: Evo
Price: $100
Description: This programmable robot has a twist as it can be controlled without a child always having to be stuck to a screen. The Evo’s sensing system can detect and respond to marks made by marker pens and stickers in the accompanying Experience Pack — so this is coding via paper plus visual cues.

There is also a digital, block-based coding interface for controlling Evo, called OzoBlockly (based on Google’s Blockly system). This has a five-level coding system to support a range of ages, from pre-readers (using just icon-based blocks), up to a ‘Master mode’ which Ozobot says includes extensive low-level control and advanced programming features
Age: 9+


Pi-top


Product: Modular Laptop
Price: $320 (with a Raspberry Pi 3 Model B+), $285 without
Description: This snazzy 14-inch modular laptop, powered by Raspberry Pi, has a special focus on teaching coding and electronics. Slide the laptop’s keyboard forward and it reveals a built in rail for hardware hacking. Guided projects designed for kids include building a music maker and a smart robot. The laptop runs pi-top’s learn-to-code oriented OS — which supports block-based coding programs like Scratch and kid-friendly wares like Minecraft Pi edition, as well as its homebrew CEEDUniverse: A Civilization style game that bakes in visual programming puzzles to teach basic coding concepts. The pi-top also comes with a full software suite of more standard computing apps (including apps from Google and Microsoft). So this is no simple toy. Not a new model for this year — but still a compelling STEM machine
Age: 8+


Robo Wunderkind


Product: Starter Kit
Price: $200 
Description: Programmable robotics blocks for even very young inventors. The blocks snap together and are color-coded based on function so as to minimize instruction for the target age group. Kids can program their creations to do stuff like drive, play music, detect obstacles and more via a drag-and-drop coding interface in the companion Robo Code app. Another app — Robo Live — lets them control what they’ve built in real time. The physical blocks can also support Lego-based add-ons for more imaginative designs
Age: 5+


Root Robotics

Product: Root
Price: $200
Description: A robot that can sense and draw, thanks to a variety of on board sensors, battery-powered kinetic energy and its central feature: A built-in pen holder. Root uses spirographs as the medium for teaching STEM as kids get to code what the bot draws. They can also create musical compositions with a scan and play mode that turns Root into a music maker. The companion app offers three levels of coding interfaces to support different learning abilities and ages. At the top end it supports programming in Swift (with Python and JavaScript slated as coming soon). An optional subscription service offers access to additional learning materials and projects to expand Root’s educational value
Age: 4+



Sphero


Product: Bolt
Price: $150
Description: The app-enabled robot ball maker’s latest STEM gizmo. It’s still a transparent sphere but now has an 8×8 LED matrix lodged inside to expand the programmable elements. This colorful matrix can be programmed to display words, show data in real-time and offer game design opportunities. Bolt also includes an ambient light sensor, and speed and direction sensors, giving it an additional power up over earlier models. The Sphero Edu companion app supports drawing, Scratch-style block-based and JavaScript text programming options to suit different ages
Age: 8+


Tech Will Save Us

Product: Range of coding, electronics and craft kits
Price: From ~$30 up to $150
Description: A delightful range of electronic toys and coding kits, hitting various age and price-points, and often making use of traditional craft materials (which of course kids love). Examples include a solar powered moisture sensor kit ($40) to alert when a pot plant needs water; electronic dough ($35); a micro:bot add-on kit ($35) that makes use of the BBC micro:bit device (sold separately); and the creative coder kit ($70), which pairs block-based coding with a wearable that lets kids see their code in action (and reacting to their actions)
Age: 4+, 8+, 11+ depending on kit


UBTech Robotics

Product: JIMU Robot BuilderBots Series: Overdrive Kit
Price: $120
Description: More snap-together, codable robot trucks that kids get to build and control. These can be programmed either via posing and recording, or using Ubtech’s drag-and-drop, block-based Blockly coding program. The Shenzhen-based company, which has been in the STEM game for several years, offers a range of other kits in the same Jimu kit series — such as this similarly priced UnicornBot and its classic MeeBot Kit, which can be expanded via the newer Animal Add-on Kit
Age: 8+


Wonder Workshop

Product: Dot Creativity Kit 
Price: $80
Description: San Francisco-based Wonder Workshop offers a kid-friendly blend of controllable robotics and DIY craft-style projects in this entry-level Dot Creativity Kit. Younger kids can play around and personalize the talkative connected device. But the startup sells a trio of chatty robots all aimed at encouraging children to get into coding. Next in line there’s Dash ($150), also for 6+ year olds. Then Cue ($200) for 11+. The startup also has a growing range of accessories to expand the bots’ (programmable) functionality — such as this Sketch Kit ($40) which adds a few arty smarts to Dash or Cue.

With Dot, younger kids play around using a suite of creative apps to control and customize their robot and tap more deeply into its capabilities, with the apps supporting a range of projects and puzzles designed to both entertain them and introduce basic coding concepts.
Age: 6+


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