Startups
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Printify, a startup all the way from Riga, Latvia, has raised $1 million in seed funding led by Google AdSense pioneer Gokul Rajaram as it looks to expand its services in the U.S. and build out its team in Latvia.
Today, roughly 50,000 e-commerce stores use Printify’s services for printing-on-demand, according to the company.
Together with Lumi, which can handle packaging for consumer-facing startups, Printify is making the notion of becoming a brand as seamless as possible by taking much of a vendor’s legwork out of the equation.
The company keeps its customers’ billing information on file and links with the back-end ordering system of almost any e-commerce platform.
When an order comes in, Printify gets an API notification to begin working on a product. The company then sends print-ready files to an on-demand manufacturer that can print a design and ship a product within 24 hours.
Printify founder James Berdigans came up with the idea for the company after starting a business making accessories for Apple products.
“We wanted to print custom phone cases and we thought we’d find an on-demand manufacturer and it would be easy,” says Berdigans. That’s when Printify was born.
The company first integrated through Shopify and began to see some traction in November 2015, but because the company didn’t own its own manufacturing, quality became a concern.
In 2016, Berdigans pivoted to the marketplace model because he saw demand coming from a growing number of small business owners like himself that needed access to a selection of quality printing houses.
New direct-to-garment printing and digital printing on t-shirts is going to grow very rapidly over the next few years, according to Berdigans.
A graduate from the 500 Startups accelerator program, the company is already profitable and hoping to capitalize on its success with this new funding to expand its engineering team.
“In just two years, Printify has become profitable and is growing at a rapid pace. With this
investment, we plan to double our Riga team in 2018. That will create at least 30 new jobs,
most of which will be in programming, design, and customer support,” said Printify co-founder
Artis Kehris in a statement.
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Purple Carrot announced this morning that it has raised $4 million in strategic funding from Fresh Del Monte Produce.
The company, which delivers completely plant-based (vegan) meal kits to subscribers, was founded in 2014. It has, in part, gotten attention through celebrity involvement, first by enlisting food writer Mark Bittman as its chief innovation officer (Bittman departed in 2016), then by partnering with football star and notorious strawberry hater Tom Brady to launch TB12 meal kits.
Purple Carrot had previously raised $6 million in funding, according to Crunchbase. The company says that this new investment will allow it to improve its supply chain, get access to more retail opportunities and explore expansion into other categories.
“Securing this strategic investment from Fresh Del Monte is a huge validation of our business model, and an important step forward for our company,” said Purple Carrot founder and CEO Andy Levitt in the announcement. “Helping people eat more plant-based foods represents our differentiated, purpose-driven commitment to making the planet and the people who live on it healthier.”
Fresh Del Monte (which is the company behind Del Monte pineapples and other produce) is just the latest established player in the food and grocery world to invest in meal delivery startups. Last year, for example, Unilever backed Sun Basket and Nestlé led a $77 million round for Freshly.
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Machine learning may be the tool de jour for everything from particle physics to recreating the human voice, but it’s not exactly the easiest field to get into. Despite the complexities of video editing and sound design, we have UIs that let even a curious kid dabble in them — why not with machine learning? That’s the goal of Lobe, a startup and platform that genuinely seems to have made AI models as simple to put together as LEGO bricks.
I talked with Mike Matas, one of Lobe’s co-founders and the designer behind many a popular digital interface, about the platform and his motivations for creating it.
“There’s been a lot of situations where people have kind of thought about AI and have these cool ideas, but they can’t execute them,” he said. “So those ideas just like shed, unless you have access to an AI team.”
This happened to him, too, he explained.
“I started researching because I wanted to see if I could use it myself. And there’s this hard to break through veneer of words and frameworks and mathematics — but once you get through that the concepts are actually really intuitive. In fact even more intuitive than regular programming, because you’re teaching the machine like you teach a person.”
But like the hard shell of jargon, existing tools were also rough on the edges — powerful and functional, but much more like learning a development environment than playing around in Photoshop or Logic.
“You need to know how to piece these things together, there are lots of things you need to download. I’m one of those people who if I have to do a lot of work, download a bunch of frameworks, I just give up,” he said. “So as a UI designer I saw the opportunity to take something that’s really complicated and reframe it in a way that’s understandable.”
Lobe, which Matas created with his co-founders Markus Beissinger and Adam Menges, takes the concepts of machine learning, things like feature extraction and labeling, and puts them in a simple, intuitive visual interface. As demonstrated in a video tour of the platform, you can make an app that recognizes hand gestures and matches them to emoji without ever seeing a line of code, let alone writing one. All the relevant information is there, and you can drill down to the nitty gritty if you want, but you don’t have to. The ease and speed with which new applications can be designed and experimented with could open up the field to people who see the potential of the tools but lack the technical know-how.
He compared the situation to the early days of PCs, when computer scientists and engineers were the only ones who knew how to operate them. “They were the only people able to use them, so they were they only people able to come up with ideas about how to use them,” he said. But by the late ’80s, computers had been transformed into creative tools, largely because of improvements to the UI.
Matas expects a similar flood of applications, even beyond the many we’ve already seen, as the barrier to entry drops.
“People outside the data science community are going to think about how to apply this to their field,” he said, and unlike before, they’ll be able to create a working model themselves.
A raft of examples on the site show how a few simple modules can give rise to all kinds of interesting applications: reading lips, tracking positions, understanding gestures, generating realistic flower petals. Why not? You need data to feed the system, of course, but doing something novel with it is no longer the hard part.
And in keeping with the machine learning community’s commitment to openness and sharing, Lobe models aren’t some proprietary thing you can only operate on the site or via the API. “Architecturally we’re built on top of open standards like Tensorflow,” Matas said. Do the training on Lobe, test it and tweak it on Lobe, then compile it down to whatever platform you want and take it to go.
Right now the site is in closed beta. “We’ve been overwhelmed with responses, so clearly it’s resonating with people,” Matas said. “We’re going to slowly let people in, it’s going to start pretty small. I hope we’re not getting ahead of ourselves.”
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Why has San Francisco’s startup scene generated so many hugely valuable companies over the past decade?
That’s the question we asked over the past few weeks while analyzing San Francisco startup funding, exit, and unicorn creation data. After all, it’s not as if founders of Uber, Airbnb, Lyft, Dropbox and Twitter had to get office space within a couple of miles of each other.
We hadn’t thought our data-centric approach would yield a clear recipe for success. San Francisco private and newly public unicorns are a diverse bunch, numbering more than 30, in areas ranging from ridesharing to online lending. Surely the path to billion-plus valuations would be equally varied.
But surprisingly, many of their secrets to success seem formulaic. The most valuable San Francisco companies to arise in the era of the smartphone have a number of shared traits, including a willingness and ability to post massive, sustained losses; high-powered investors; and a preponderance of easy-to-explain business models.
No, it’s not a recipe that’s likely replicable without talent, drive, connections and timing. But if you’ve got those ingredients, following the principles below might provide a good shot at unicorn status.
First, lose money until you’ve left your rivals in the dust. This is the most important rule. It is the collective glue that holds the narratives of San Francisco startup success stories together. And while companies in other places have thrived with the same practice, arguably San Franciscans do it best.
It’s no secret that a majority of the most valuable internet and technology companies citywide lose gobs of money or post tiny profits relative to valuations. Uber, called the world’s most valuable startup, reportedly lost $4.5 billion last year. Dropbox lost more than $100 million after losing more than $200 million the year before and more than $300 million the year before that. Even Airbnb, whose model of taking a share of homestay revenues sounds like an easy recipe for returns, took nine years to post its first annual profit.
Not making money can be the ultimate competitive advantage, if you can afford it.
Industry stalwarts lose money, too. Salesforce, with a market cap of $88 billion, has posted losses for the vast majority of its operating history. Square, valued at nearly $20 billion, has never been profitable on a GAAP basis. DocuSign, the 15-year-old newly public company that dominates the e-signature space, lost more than $50 million in its last fiscal year (and more than $100 million in each of the two preceding years). Of course, these companies, like their unicorn brethren, invest heavily in growing revenues, attracting investors who value this approach.
We could go on. But the basic takeaway is this: Losing money is not a bug. It’s a feature. One might even argue that entrepreneurs in metro areas with a more fiscally restrained investment culture are missing out.
What’s also noteworthy is the propensity of so many city startups to wreak havoc on existing, profitable industries without generating big profits themselves. Craigslist, a San Francisco nonprofit, may have started the trend in the 1990s by blowing up the newspaper classified business. Today, Uber and Lyft have decimated the value of taxi medallions.
Not making money can be the ultimate competitive advantage, if you can afford it, as it prevents others from entering the space or catching up as your startup gobbles up greater and greater market share. Then, when rivals are out of the picture, it’s possible to raise prices and start focusing on operating in the black.
You can’t lose money on your own. And you can’t lose any old money, either. To succeed as a San Francisco unicorn, it helps to lose money provided by one of a short list of prestigious investors who have previously backed valuable, unprofitable Northern California startups.
It’s not a mysterious list. Most of the names are well-known venture and seed investors who’ve been actively investing in local startups for many years and commonly feature on rankings like the Midas List. We’ve put together a few names here.
You might wonder why it’s so much better to lose money provided by Sequoia Capital than, say, a lower-profile but still wealthy investor. We could speculate that the following factors are at play: a firm’s reputation for selecting winning startups, a willingness of later investors to follow these VCs at higher valuations and these firms’ skill in shepherding portfolio companies through rapid growth cycles to an eventual exit.
Whatever the exact connection, the data speaks for itself. The vast majority of San Francisco’s most valuable private and recently public internet and technology companies have backing from investors on the short list, commonly beginning with early-stage rounds.
Generally speaking, you don’t need to know a lot about semiconductor technology or networking infrastructure to explain what a high-valuation San Francisco company does. Instead, it’s more along the lines of: “They have an app for getting rides from strangers,” or “They have an app for renting rooms in your house to strangers.” It may sound strange at first, but pretty soon it’s something everyone seems to be doing.
It’s not a recipe that’s likely replicable without talent, drive, connections and timing.
A list of 32 San Francisco-based unicorns and near-unicorns is populated mostly with companies that have widely understood brands, including Pinterest, Instacart and Slack, along with Uber, Lyft and Airbnb. While there are some lesser-known enterprise software names, they’re not among the largest investment recipients.
Part of the consumer-facing, high brand recognition qualities of San Francisco startups may be tied to the decision to locate in an urban center. If you were planning to manufacture semiconductor components, for instance, you would probably set up headquarters in a less space-constrained suburban setting.
While it can be frustrating to watch a company lurch from quarter to quarter without a profit in sight, there is ample evidence the approach can be wildly successful over time.
Seattle’s Amazon is probably the poster child for this strategy. Jeff Bezos, recently declared the world’s richest man, led the company for more than a decade before reporting the first annual profit.
These days, San Francisco seems to be ground central for this company-building technique. While it’s certainly not necessary to locate here, it does seem to be the single urban location most closely associated with massively scalable, money-losing consumer-facing startups.
Perhaps it’s just one of those things that after a while becomes status quo. If you want to be a movie star, you go to Hollywood. And if you want to make it on Wall Street, you go to Wall Street. Likewise, if you want to make it by launching an industry-altering business with a good shot at a multi-billion-dollar valuation, all while losing eye-popping sums of money, then you go to San Francisco.
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Shenzhen-based home robotics company UBTECH announced this week that it has closed a massive $820 million Series C. The round, led by Tencent and a whole slew of other investors, follows a $100 million Series B and $20 million Series C.
The bipedal robotics maker certainly isn’t a household name here in the States — though the company’s taken a few baby steps over here, including a walking Stormtrooper robot released alongside The Last Jedi. It also debuted a “robotic butler” with a tablet face back at CES in January that seemed more proof of concept than shipping product — though UBTECH has promised a broad 2019 release date.
CEO James Zhou has promised the company will use this huge backing to accelerate its vision of bringing robots into the home.
“As technology evolves to include more voice and touch capabilities, people need new devices that communicate and interact more naturally and intuitively at home, at school and at work,” he said in a release tied to the announcement. “While trends in robots and robotics are developing, no company has yet stepped forward with the resources, vision and products ecosystem to transform robot fantasy and fiction into robot reality. UBTECH is bringing this reality to life by expanding the possibilities for innovation.”
The company says the funding will go into R&D, hires and expanding its global footprint. UBTECH is one of a number of companies pushing home robotics beyond the Roomba, including a rumored upcoming device from Amazon. The technology has been a tough nut to crack in the preceding decades, but an $820 million investment certainly couldn’t hurt.
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Italian startup Freeda Media is raising a $10 million Series A round led by Alven Capital. U-Start and business angels are also participating in the round.
Freeda Media runs the popular Freeda Facebook page. With nearly 1.4 million likes, the page has an impressive reach. 24 million unique users see Freeda content every month in Italy, including 100 percent of millennial women who live in Italy. The company is also quite active on Instagram.
In other words, Freeda Media is a new media company that runs mostly on social media platforms. Many of the Facebook posts are short videos, social cuts with subtitles and quick interviews. Some posts link to Freeda’s own website for more traditional articles with text and photos. But there’s no front page per se.
With today’s funding round, the company plans to expand to other markets, starting with Spain. More interestingly, Freeda is still quite young as it took them 15 months to reach this level.
The company compares itself with other media brands for women, such as Elle, Teen Vogue, Vanity Fair, Cosmopolitan or Man Repeller. According to CrowdTangle, Freeda has a much higher engagement rate compared to its direct competitors.
Freeda Media’s business model is branded content and native advertising. But the startup is looking at other potential revenue streams. There’s clearly a risk of branded content overload for social-first media organizations. When you build a Facebook audience based on trust, your reputation can also quickly deteriorate and the algorithms can turn on you. So far, it doesn’t seem to be an issue.
Internationalization is going to be key to foster Freeda’s growth. If Freeda can replicate the same impressive numbers in multiple countries, the startup could end up convincing bigger advertisers and distributing more or less the same content in multiple countries.
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In this episode of Technotopia I talk to Jeff Schmidt of the Columbus Collaboratory. He is well-versed in the future of security and our conversation ranged from the rise of the midwest to the future of cyberattacks.
The Columbus Collaboratory is a unique think tank dedicated to building security and system solutions for major clients. It’s a sort of Delta Force for major corporations headquartered in Columbus, and Schmidt has a lot to say about the value of a good security plan.
Technotopia is a podcast by John Biggs about a better future. You can subscribe in Stitcher, RSS or iTunes and listen the MP3 here.
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Although the “pivot to video” has been notoriously challenging for most publishers, they can’t exactly give up on video. In fact, BuzzFeed has been ramping up production with a new editing tool called Vidder.
Vidder was created Senior Product Designer Elaine Dunlap and Senior Software Engineer Joseph Bergen. Dunlap recalled talking to Bergen more than a year ago and pointing out that while BuzzFeed is known for building its own publishing tools, “there wasn’t really the same opinionated software solution” for creating videos.
So they decided to build a video editing product that could be used by anyone, not just experienced producers and editors. Dunlap said the initial goal was to “demystify video production.”
“We basically started out with this hypothesis that if we gave a very simple tool to these editors who are constantly creating very funny, interesting things, they would really be able to fly,” Bergen added.
Fast forward to 2018 and BuzzFeed says Vidder is being used by 40 or 50 team members to create 200 videos each month, with 800 videos created in all since October. Almost none of BuzzFeed’s Vidder users are full-time video producers, and most of them had little to no experience with professional video editing software.

For example, Kayla Yandoli was a member of BuzzFeed’s social team (she’s since transferred to the video) when she created this compilation of “shady” insults from The Golden Girls last fall. With 1.1 million shares, it was one of Vidder’s early success stories, and Yandoli estimated that it only took her only an hour and a half to edit.
We moved even faster when the Vidder team demonstrated the product for me last week. We started with a basic template, then customized it by uploading one or two video clips, typing in captions and subtitles, adding emojis, and we had a perfectly serviceable video ready to go in just a few minutes.
The experience had very little in common with the hours I’ve spent fiddling with timelines in FinalCut. It also benefits from being entirely web-based, with no software download needed.
The key to Vidder is simplicity. As Product Manager Chris Johanesen put it, “We’re not trying to recreate Adobe Premiere.” There are teams at BuzzFeed creating more in-depth, highly produced videos, and Vidder isn’t built for them. Instead, it might be used by an editor like Yandoli who wants to quickly translate a regular BuzzFeed post into a video for Facebook or Instagram.
“There was a really big boom with Facebook videos around pop culture, animals, babies and stuff,” Yandoli recalled. “People on my team were interested in creating videos, but everyone couldn’t download Premiere. We were yearning to just find an accessible tool so that we could create things for our social platforms.”

And while you might think that Vidder has become less relevant with recent Facebook algorithm changes, Johanesen said the tool allows BuzzFeed to continue experimenting.
“Ever since the big Facebook algorithm changes that happened, our social strategy is less about longer videos and more about making things that will engage communities and conversations,” Johanesen said. “Vidder has helped teams move a little bit faster than might have been possible with other tools. I don’t know that we’ve cracked it, but it’s helping us make progress.”
BuzzFeed is also using Vidder to adapt videos for different platforms, like creating a shorter video for Instagram or compiling several short videos into a longer cut for YouTube. The tool is also being used by international teams who might quickly create a localized version when they see that a BuzzFeed U.S. video is doing well. In fact, BuzzFeed says one international editor was able to “clone” eight Vidder videos in an hour.
Usage is spreading beyond social media teams, with the sales team potentially using it to create “BuzzCuts” for advertisers. And of course Johanesen and his team are going to continue working on the product — for example, they have plans connect it to a library of licensed content.
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Massachusetts-based Soft Robotics announced this week that it’s raised $20 million in funding, courtesy of Scale Venture Partners, Calibrate Ventures, Honeywell Ventures and Tekfen Ventures, along with existing investors like robotics giant, ABB. The round follows a $5 million Series A the company closed back in late-2015.
The investment interest is pretty clear on this one. Picking and placing is the de rigueur industrial robotics challenge at the moment, and the company’s soft, air-filled hands offer a novel approach to the issue. The rubbery materials that comprise the company’s robotic grippers make them much more compliant and therefore more capable of picking up a variety of objects with minimal pre-programming and on-board vision systems.
Thus far, Soft has primarily found a spot for itself in the food industry, serving factories with delicate products like produce and pizza dough. It’s also been adopted by Just Born Quality Confections, the people who bring you Peeps.
According to the company, the new round will help push Soft even further into the food and beverage categories, along with a larger presence in retail and logistics. The involvement of Honeywell and Yamaha’s investment wings could also signal interest from those companies’ own warehouses. With the right air pressure applied, the system should be strong enough to pick up more solid objects.
Warehouse fulfillment has become increasingly strained in recent years, due to expectations from companies like Amazon, opening a space for robotics companies to address fast-paced but repetitive jobs like moving product onto and off of conveyor belts. Late last month, Soft showed off a low-cost, AI-driven warehouse system designed to retrieve products from bins to sort and fulfill retail orders with little oversight from its human counterparts.
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The Handmaid’s Tale, America’s favorite dystopian drama, will return for a third season.
Hulu announced the news this morning on the heels of revealing it has hit 20 million subscribers for its streaming service.
The second season of The Handmaid’s Tale is currently airing on Hulu, with the third episode to available today.
The series is based on Margaret Atwood’s 1985 novel by the same name. In it, humanity has become mostly infertile, leading a conservative militia to overtake the country and enslave the remaining fertile women as childbearers for the “upstanding” families of the regime.
In Season One, the story was focused on exposition of the new world as well as our main character, Offred (June) and her life as a Handmaid. Season 2 seems to be expanding on that world and our main character, showing both the good and the bad of her character’s personality.
The Handmaid’s Tale is far and away Hulu’s most popular and critically acclaimed original series, winning five Emmys last year, including one for Best Drama series.
If you want to learn more about The Handmaid’s Tale, make sure to check out the latest episode of TC’s Original Content podcast.
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