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Instagram denies it’s building Regramming. Here’s why it’d be a disaster


Instagram tells me Regramming, or the ability to instantly repost someone else’s feed post to your followers like a retweet, is “not happening”, not being built, and not being tested. And that’s good news for all Instagrammers. The denial comes after it initially issued a “no comment” to The Verge’s Casey Newton, who published that he’d seen screenshots of a native Instagram resharing sent to him by a source.

Regramming would be a fundamental shift in how Instagram works, not necessarily in terms of functionality, but in terms of the accepted norms of what and how to post. You could always screenshot, cite the original creator, and post. But Instagram has always been about sharing your window to the world — what you’ve lived and seen. Regramming would legitimize suddenly assuming someone else’s eyes.

The result would be that users couldn’t trust that when they follow someone, that’s whose vision would appear in their feed. Instagram would feel a lot more random and unpredictable. And it’d become more like its big brother Facebook whose News Feed has waned in popularity – susceptible to viral clickbait bullshit, vulnerable to foreign misinformation campaigns, and worst of all, impersonal.

Photographer: Andrew Harrer/Bloomberg via Getty Images

Newton’s report suggested Instagram reposts would appear under the profile picture of the original sharer, and regrams could be regrammed once more in turn, showing a stack of both profile thumbnails of who previously shared it. That would at least prevent massive chains of reposts turning posts into all-consuming feed bombs.

Regramming could certainly widen what appears in your feed, which some might consider more interesting. It could spur growth by creating a much easier way for users to share in feed, especially if they don’t live a glamorous life themself. I can see a case for this being a feature for businesses only, which are already impersonal and act as curators. And Instagram’s algorithm could hide the least engaging regrams.

These benefits are why Instagram has internally considered building regramming for years. CEO Kevin Systrom told Wired last year “We debate the re-share thing a lot . . . But really that decision is about keeping your feed focused on the people you know rather than the people you know finding other stuff for you to see. And I think that is more of a testament of our focus on authenticity.”

See, right now, Instagram profiles are cohesive. You can easily get a feel for what someone posts and make an educated decision about whether to follow them from a quick glance at their grid. What they share reflects on them, so they’re cautious and deliberate. Everyone is putting on a show for Likes, so maybe it’s not quite ‘authentic’, but at least the content is personal. Regramming would make it impossible to tell what someone would post next, and put your feed at the mercy of their impulses without the requisite accountability. If they regram something lame, ugly, or annoying, it’s the original author who’d be blamed.

Instagram already offers a demand release valve in the form of re-sharing posts to your Story as stickers

Instagram already has a release valve for demand for regramming in the form of the ability to turn people’s public feed posts into Stickers you can paste into your Story. Launched in May, you can add your commentary, complimenting on dunking on the author. There, regrams are ephemeral, and your followers have to pull them out of their Stories tray rather than having them force fed via the feed. Effectively, you can reshare others’ content, but not make it a central facet of Instagram or emblem of your identity. And if you want to just make sure a few friends see something awesome you’ve discovered, you can send them people’s feed posts as Direct messages.

Making it much easier to repost to your feed instead of sharing something original could turn Instagram into an echo chamber. It’d turn Instagram even more into a popularity contest, with users jockeying for viral distribution and a chance to plug their SoundCloud mixtapes like on Twitter. Personal self-expression would be overshadowed even further by people playing to the peanut gallery. Businesses might get lazy rather than finding their own styles. If you want to discover something new and unexpected, there’s a whole Explore page full of it.

Newton is a great reporter, and I suspect the screenshots he saw were real, but I think Instagram should have given him the firm denial right away. My guess is that it wanted to give its standard no comment because if it always outright denies inaccurate rumors and speculation, that means journalists can assume they’re right when it does “no comment.”

But once Newton published his report, backlash quickly mounted about how regramming could ruin Instagram. Rather than leaving users worried, confused, and constantly asking when the feature would launch and how it would work, the company decided to issue firm denials after the fact. It became worth diverging from its PR playbook. Maybe it had already chosen to scrap its regramming prototype, maybe the screenshots were just of an early mock-up never meant to be seriously considered, or maybe it hadn’t actually finalized that decision to abort until the public weighed in against the feature yesterday.

In any case, introducing regramming would risk an unforced error. The elemental switch from chronological to the algorithmic feed, while criticized, was critical to Instagram being able to show the best of the massive influx of content. Instagram would eventually break without it. There’s no corresponding urgency to fix what ain’t broke when it comes to not allowing regramming.

Instagram is already growing like crazy. It just hit a billion monthly users. Stories now has 400 million daily users, and that feature is growing six times faster than Snapchat as a whole. The app is utterly dominant in the photo and short video sharing world. Regramming would be an unnecessary gamble.

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uBiome is jumping into therapeutics with a healthy $83 million in Series C financing

23andMe, IBM and now uBiome is the next tech company to jump into the lucrative multi-billion dollar drug discovery market.

The company started out with a consumer gut health test to check whether your intestines carry the right kind of bacteria for healthy digestion but has since expanded to include over 250,000 samples for everything from the microbes on your skin to vaginal health — the largest data set in the world for these types of samples, according to the company.

Founder Jessica Richman now says there’s a wider opportunity to use this data to create value in therapeutics.

To support its new drug discovery efforts, the San Francisco-based startup will be moving its therapeutics unit into new Cambridge, Massachusetts headquarters and appointing former Novartis CEO Joseph Jimenez to the board of directors as well.

The company has a healthy pile of cash to help build out that new HQ, too, with a fresh $83 million Series C, lead by OS Fund and in participation with 8VC, Y Combinator, Dentsu Ventures and others.

The drug discovery market is slated to be worth nearly $86 billion by 2022, according to BCC Research numbers. New technologies — those that solve logistics issues and shorten the time between research and getting a drug to market in particular — are driving the growth and that’s where uBiome thinks it can get into the game.

“This financing allows us to expand our product portfolio, increase our focus on patent assets and further raise our clinical profile, especially as we begin to focus on commercialization of drug discovery and development of our patent assets,” Richman said.

Though its unclear at this time which drug maker the company might partner up with, Richman did say there would be plenty to announce later on that front.

So far, the company has published over 30 peer-reviewed papers on microbiome research, has entered into research partnerships with the likes of the Center for Disease Control (CDC) and leading research institutions such as Harvard, MIT and Stanford and has previously raised $22 million in funding. The additional VC cash puts the total amount raised to $105 million to date.

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Cleo, the ‘digital assistant’ that replaces your banking apps, picks up $10M Series A led by Balderton

When Cleo, the London-based “digital assistant” that wants to replace your banking apps, quietly entered the U.S., the company couldn’t have expected to be an instant hit. Many better-funded British startups have failed to “break America.” However, just four months later, the fintech upstart counts 350,000 users across the pond — claiming more than 600,000 active users in the U.K., U.S. and Canada in total — and says it is adding 30,000 new signups each week. All of which hasn’t gone unnoticed by investors.

Already backed by some of the biggest VC names in the London tech scene — including Entrepreneur First, Moonfruit founder Wendy Tan White, Skype founder Niklas Zennström, Wonga founder Errol Damelin, TransferWise founder Taavet Hinrikus and LocalGlobe — Cleo is adding Balderton Capital to the list.

The European venture capital firm, which has previously invested in fintech unicorn Revolut and the well-established GoCardless, has led Cleo’s $10 million Series A round, in which I understand most early backers, including Zennström, also followed on. One source told me the Series A gives the hot London startup a post-money valuation of around £30 million (~$39.7m), although Cleo declined to comment.

In a call with co-founder and CEO Barney Hussey-Yeo, he explained that the new capital will be used to continue scaling the company, with further international expansion the name of the game. Hussey-Yeo says Cleo will be targeting Western Europe, the Americas and Australasia, aiming to launch in a whopping 22 countries in the next 12 months, as Cleo bids to become the “default interface” for millennials interacting and managing their money.

Primarily accessed via Facebook Messenger, the AI-powered chatbot gives insights into your spending across multiple accounts and credit cards, broken down by transaction, category or merchant. In addition, Cleo lets you take a number of actions based on the financial data it has gleaned. You can choose to put money aside for a rainy day or specific goal, send money to your Facebook Messenger contacts, donate to charity, set spending alerts and more.

However, in the context of traction and Cleo’s broader global ambitions, it is the decision not to become a bank in its own right that Hussey-Yeo feels is really beginning to bear fruit. His argument has always been that you don’t need to be a bank to become the primary way users interface with their finances, and that without the regulatory and capital burden that becoming a fully licensed bank brings, you can scale much more quickly. I have a feeling that strategy — and its pros and cons — has a long way to play out just yet.

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uBeam wireless power’s CEO Meredith Perry steps aside amidst B2B pivot

After repeatedly missing self-imposed deadlines for progress on its wireless charging-at-a-distance phone case, uBeam’s CEO Meredith Perry has decided to shift out of the CEO position and into a board member and senior advisor role. She’d founded the company in 2011 from her dorm room and brought in over $40 million in funding by selling a wide range of elite investors on her vision for a cordless future, including Andreessen Horowitz, Founders Fund, CrunchFund (disclosure: started by TechCrunch’s founder), Marissa Mayer and Mark Cuban.

Now rather than trying to build its own consumer products like wireless power transmitters and receivers that could charge your phone from across the room using ultrasound frequencies, uBeam is pivoting to licensing its technology for use in other companies’ products.

“Meredith made the decision to step down as CEO. She wanted the company to hire a CEO who had experience in overseeing the rollout of a b2b electronics product,” tweeted one of the startup’s lead investors, Mark Suster of Upfront Capital. Axios’ Dan Primack reported the news earlier today. TechCrunch spoke to Perry but she declined to comment on the record.

For the interim, uBeam’s head of HR and finance Jacqueline McCauley, who joined in 2016, will lead the company. In a blog post today, she announced that “Meredith felt it was time to bring on a seasoned executive in the electronics field to lead the company through its commercialization phase. The company has begun a search for this new CEO.”

uBeam had wowed investors and AllThingsD conference attendees in 2011 with a demo showing it could deliver at least some power over a distance of a few feet. A source at one point said uBeam was holding talks with top retail and dining chains, and insinuated one of the world’s top phone makers might build on its technology.

But the startup made big promises about public demonstrations and the efficiency of its technology it couldn’t keep. In 2015 Perry had told TechCrunch real-life public demos would be ready the next year, which came and went.

In 2016, things started to fall apart. The startup’s former VP of Engineering Paul Reynolds wrote a series of blog posts accusing uBeam’s technology of not working, and noted that “When I left it was an ugly departure, but was reported to the investors as ‘the VP Engineering left for personal reasons’ — personal reasons being ‘sick of putting up with this bullshit.’” He also revealed that uBeam’s original CTO and new CFO had left the company, and that Perry’s co-founder Nora Dweck had sued her over an unfair equity split (and settled).

It wasn’t until 2017 that uBeam gave two limited public demonstrations at the Upfront Ventures conference and to USA Today. It proved that an impractically large uBeam transmitter could deliver enough power over the distance of four to 10 feet to make multiple phones signal they were charging. But the company never opened itself up to more scrutiny regarding just how much power it was delivering, how fast a phone would actually charge and whether the tech could surmount practical issues like phones moving or being blocked by clothing.

Questions began to mount about whether uBeam’s approach could produce a marketable product in a palatable form factor with real utility. In the meantime, larger competitors like WattUp-maker Energous and COTA-maker Ossia have started to make real progress on over the air wireless charging. A recent deep-dive by PC Mag revealed how these two companies are starting to be able to deliver 1 watt of power across a room. But Energous and Ossia executives were careful to be realistic in their predictions about the hurdles to delivering rapid phone charging at a distance and how many years they’d need to get there.

Now with Perry stepping down, uBeam will shift gears and move to the same B2B licensing model Energous and Ossia use. They’ll now be directly competing to get their wireless power transmitters and receivers built into other products such as televisions, sound bar speakers, phone cases and more. But the industry is taking a while to mature. Energous, a public company that had raised $117 million, is trading at $10.62, down from a peak above $22 earlier this year and $15 in mid-2017. Ossia has only raised $25 million.

A bulky early uBeam transmitter prototype

Apple last year announced it was building a less ambitious AirPower near-field wireless charging pad that could juice up an AirPods case sitting on it. That was supposed to arrive in “early 2018,” but there was no mention of it onstage at the recent iPhone XS launch event. Today’s Qi-standard wireless charging pads require direct contact with devices and some fidgeting to get them to connect.

uBeam’s stumbles may make it tough to hire or retain talent, and the organizational disruption amidst direct competition could cost it valuable time as it strives to get its tech ready for licensing. The startup’s audacious idea for a world without wires may still one day come to fruition. There remains big potential in the more technically feasible over the air charging of Internet of Things devices that don’t need much power. But uBeam could serve as a reminder to fellow startups that grand visions might make it easier to secure funding, but can raise expectations that are much harder to fulfill.

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Adobe gets its company, snaring Marketo for $4.75 billion

A week ago rumors were flying that Adobe would be buying Marketo, and lo and behold it announced today that it was acquiring the marketing automation company for $4.75 billion.

It was a pretty nice return for Vista Equity partners, which purchased Marketo in May 2016 for $1.8 billion in cash. They held onto it for two years and hauled in a hefty $2.95 billion in profit.

We published a story last week, speculating that such a deal would make sense for Adobe, which just bought Magento in May for $1.6 billion. The deal gives Adobe a strong position in enterprise marketing as it competes with Salesforce, Microsoft, Oracle and SAP. Put together with Magento, it gives them marketing and ecommerce, and all it cost was over $6 billion to get there.

“The acquisition of Marketo widens Adobe’s lead in customer experience across B2C and B2B and puts Adobe Experience Cloud at the heart of all marketing,” Brad Rencher, executive vice president and general manager, Digital Experience at Adobe said in a statement.

Ray Wang, principal analyst and founder at Constellation Research sees it as a way for Adobe to compete harder with Salesforce in this space. “If Adobe takes a stand on Marketo, it means they are serious about B2B and furthering the Microsoft-Adobe vs Salesforce-Google battle ahead,” he told TechCrunch. He’s referring to the deepening relationships between these companies.

Brent Leary, senior analyst and founder at CRM Essentials agrees, seeing Microsoft as also getting positive results from this deal. “This is not only a big deal for Adobe, but another potential winner with this one is Microsoft due to the two companies growing partnership,” he said.

Adobe reported its earnings last Thursday announcing $2.29 billion for the third quarter, which represented a 24 percent year over year increase and a new record for the company. While Adobe is well on its way to being a $10 billion company, the majority of its income continues to come from Creative Cloud, which includes Photoshop, InDesign and Illustrator, among other Adobe software stalwarts.

But for a long time, the company has wanted to be much more than a creative software company. It’s wanted a piece of the enterprise marketing pie. Up until now, that part of the company, which includes marketing and analytics software, has lagged well behind the Creative Cloud business. In its last report, Digital Experience revenue, which is where Adobe counts this revenue represented $614 million of total revenue. While it continues to grow, up 21 percent year over year, there is much greater potential here for more.

Adobe had less than $5 billion in cash after the Magento acquisition, but it has seen its stock price rise dramatically in the last year rising from $149.96 last year at this time to $266.05 as of publication.

The acquisition comes as there is a lot of maneuvering going on this space and the various giant companies vie for market share. Today’s acquisition gives Adobe a huge boost and provides them with not only a missing piece, but Marketo’s base of 5000 customers and the opportunity to increase revenue in this part of their catalogue, while allowing them to compete harder inside the enterprise.

The deal is expected to close in Adobe’s 4th quarter. Marketo CEO Steve Lucas will join Adobe’s senior leadership team and report to Rencher.

It’s also worth noting that the announcement comes just days before Dreamforce, Salesforce’s massive customer conference will be taking place in San Francisco, and Microsoft will be holding its Ignite conference in Orlando. While the timing may be coincidental, it does end up stealing some of their competitors’ thunder.

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Eventbrite’s IPO should encourage tech companies to get out while they still can

Eventbrite is having one hell of a debut on the New York Stock Exchange this morning.

Shares of the ticketing startup, founded back in 2006, have shot up over 50 percent in trading on the NYSE. After pricing its shares at $23 in its initial offering, investors have bid up the stock to a whopping $37, putting the company’s valuation at nearly $3 billion.

$EB prices $23, opens $36 pic.twitter.com/cYgCuqbmh8

👨🏻‍💻☕ (@hunterwalk) September 20, 2018

That’s well above where the ticketing company had hoped to be when it initially set terms for the public offering earlier this month.

The company started trading priced above its share price and nearly doubled its valuation. And if Eventbrite can do it, really almost any later-stage startup should be thinking about the public markets right now.

Performance for the San Francisco ticketing company has been… somewhat lackluster. As we noted when wrote about the company’s offering:

Eventbrite is not profitable and has been losing money since 2016. According to the documents, it posted losses of $40.4 million in 2016 and $38.5 million in 2017. In the first six months of 2018, the company has posted a net loss of $15.6 million. The company is making changes to make up for some of those losses — at the end of August, it announced a new pricing scheme for its customers using the “Essentials” package.

Its revenue is rising though, increasing from $133 million in 2016 to $201 million last year.

Since the beginning of the year tech public offerings have been on a tear. As The Wall Street Journal noted in July, 120 companies had raised $35.2 billion on U.S. exchanges at that point — the best showing for public markets since 2014 and the fourth busiest year since 1995, according to the financial data and analysis service Dealogic.

We’ve noted before that it’s a bit mind-boggling that investors and their portfolio companies wouldn’t be taking more advantage of these heady times. Nothing lasts forever (not even cold November rain) and certainly not markets that have been this bullish for this long.

Some of the reasoning is likely thanks to a market that’s still awash in private equity, sovereign wealth and late-stage dollars. SoftBank has hundreds of billions to invest; private equity firms are beginning to look at growth-stage companies the way that I look at banana cream pies from Cassell’s; and venture firms are beefing up big time to keep up with the Joneses (or in this case, the Blackstoneses).

However, the fun is certainly going to come to an end, and likely sooner rather than later. Early-stage investors are beginning to dole out their advice on lowering cash burn (something that happens every time they see the beginning of the end of the beginning of the end).

Low burn rates have gone out of fashion, but I expect we’ll be reminded very quickly at the beginning of the next downturn why they’re so valuable for early-stage startups.

— Sam Altman (@sama) September 19, 2018

With that in mind, later-stage companies should be looking for the exit signs wherever they can find them. Right now, that’s an IPO window that seems to be wide open.

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Cluep, a Canadian startup that raised just $500K, acquired for $40M

Everyone loves a tale of a bootstrapped startup founder’s journey to an eight-figure exit.

The team at Toronto-based Cluep have a good one.

The founders of the adtech startup raised less than $500,000 from angel investors before selling their company to Impact Group for $40 million ($53 million CAD) this week.

Founded in 2012, Karan Walia, Sobi Walia and Anton Mamonov were just 21, 17 and 16 years old, respectively, when they started the digital advertising platform, which uses artificial intelligence to help brands connect and engage with people based on what they are sharing, how they are feeling and the places they’ve been.

They, being so young, struggled initially to get the company off the ground. At one point, the trio hacked into computers at a university in Toronto to train the neural networks on large amounts of data sets because they didn’t have enough money to buy their own tech. On a shoe-string budget, they would split meals at Popeyes to get by.

“No one wanted to give us money at that time so we had to live off of my student loans,” Walia told TechCrunch. “We did pretty much everything, whether it was programming and building the product, or going out and selling. I was our first sales rep and I was pretty bad early on but I learned.”

Ultimately, Cluep was able to raise enough from angels to pay themselves a salary, hire a few engineers and sales representatives and move into an actual office. From that point, their revenue began growing significantly YoY.

  • 2015: $2 million CAD in revenue
  • 2016: $6 million CAD in revenue
  • 2017: $14.5 million CAD in revenue
  • 2018: On track to bring in ~$30 million CAD

They fielded offers from VCs toward the end of 2015 and considered raising a proper Series A round of capital, but ultimately decided staying independent would lead to the best exit.

“This way allowed us to basically maintain control and exit on our terms,” Walia said.

Impact Group, a Boise, Idaho-based grocery sales and marketing agency, will operate Cluep independently.

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Meet the startups in the latest Alchemist class

Alchemist is the Valley’s premiere enterprise accelerator and every season they feature a group of promising startups. They are also trying something new this year: they’re putting a reserve button next to each company, allowing angels to express their interest in investing immediately. It’s a clever addition to the demo day model.

You can watch the live stream at 3pm PST here.

Videoflow – Videoflow allows broadcasters to personalize live TV. The founding team is a duo of brothers — one from the creative side of TV as a designer, the other a computer scientist. Their SaaS product delivers personalized and targeted content on top of live video streams to viewers. Completely bootstrapped to date, they’ve landed NBC, ABC, and CBS Sports as paying customers and appear to be growing fast, having booked over $300k in revenue this year.

Redbird Health Tech – Redbird is a lab-in-a-box for convenient health monitoring in emerging market pharmacies, starting with Africa. Africa has the fastest growing middle class in the world — but also the fastest growing rate of diabetes (double North America’s). Redbird supplies local pharmacies with software and rapid tests to transform them into health monitoring points – for anything from blood sugar to malaria to cholesterol. The founding team includes a Princeton Chemical Engineer, 2 Peace Corps alums, and a Pharmacist from Ghana’s top engineering school. They have 20 customers, and are growing 36% week over week.

Shuttle – Shuttle is getting a head start on the future of space travel by building a commercial spaceflight booking platform. Space tourism may be coming sooner than you think. Shuttle wants to democratize access to the heavens above. Founded by a Stanford Computer Science alum active in Stanford’s Student Space Society, Shuttle has partnerships with the leading spaceflight operators, including Virgin Galactic, Space Adventures, and Zero-G. Tickets to space today will set you back a cool $250K, but Shuttle believes that prices will drop exponentially as reusable rockets and landing pads become pervasive. They have $1.6m in reservations and growing.

Birdnest – Threading the needle between communal and private, Birdnest is the Goldilocks of office space for startups. Communal coworking spaces are accessible but have too many distractions. Traditional office spaces are private but inflexible on their terms. Birdnest brings the best of each without the drawbacks: finding, leasing, and operating a network of underutilized spaces inside of private offices. The cofounders, a duo of Duke and Kellogg MBA grads, are at $300K ARR with a fast-growing 50+ client waitlist.

Tag.bio – Tag.bio wants to make data science actionable in healthtech. The founding team is comprised of a former Ayasdi bioinformatician and a former Honda Racing engineer with a Stanford MBA. They’ve developed a next-generation data science platform that makes it easy and fast to build data apps for end users, or as they say, “WordPress for data science.” The result they claim is lightning-fast analysis apps that can be run by end users, dramatically accelerating insight discovery. They count the UCSF Medical Center and a “large Swiss pharma company” as early customers.

nCorium – They’ve built a new server architecture to handle the onslaught of AI to come with what they claim is the world’s first AI accelerator on memory to deliver 30x greater performance than the status quo. The quad founding team is intimidatingly technical — including a UCSD Professor, and former engineers from Qualcomm and Intel with 40 patents among them. They have $300K in pilots.

Spiio – Software eats landscaping with Spiio, which combines cloud-driven AI with physical sensors to monitor watering and landscaping for big companies. Their smart system knows when to water and when not to. This reduces water consumption by 50%, which means their system pays for itself in less than 30 days for big companies. They want to connect every plant to the internet, and look like they are off to a good start — $100K in orders from brand name Valley tech firms, and they are doubling monthly.

Element42 – Fraud is a major problem — For example, if you buy a Rolex on eBay, you run the risk of winding up with a counterfeit. Started by ex-VPs from Citibank, the founders are using risk models and technologies that banks use to help brands combat fraud and counterfeiting. Designed with token economics, they also incentivize customers to buy genuine products by serving exclusive content and promotions only to genuine product holders. Built on blockchain at the core, they claim to be the world’s first peer-to-peer authentication platform for physical assets. They have 45 customers across two industry verticals, 800K in ARR and are a member of World Economic Forum’s global initiatives against corruption.

My90 – Distrust between the public and the police has rarely been more strained than it is today. My90 wants to solve that by collecting data about interactions between the police and the public—think traffic stops, service calls, etc.—and turn these into actionable intelligence via an online analytics dashboard. Users text My90 anonymously about their interactions, and My90’s dashboard analyzes the results using natural language processing. Customers include major city police departments like the San Jose Police Department and the world’s largest community policing program. They have booked $150K in pilots and are expanding aggressively across the US.

Nunetz – A Stanford Computer Science grad and UCSF Neurosurgeon have come together to try to build a single unifying interface to replace the deluge of monitors and data sources in today’s clinical health environment. The goal is to prepare a daily “battle map” for physicians, nurses, and other providers, with an initial focus on the Intensive Care Unit (ICU). They have closed 3 paid pilots with hospitals through grants.

When Labs – If you hate managing people, When Labs wants to unburden you. Using an AI-powered assistant that texts with employees to negotiate assignments for hourly work, WhenLabs is trying to free customers like Hilton from spending money on managers who would normally do this manually. As the system gets smarter, they claim employees will prefer interfacing with their AI bot more than a human. AI and HR is a crowded space, but this might be the team to separate from the pack: the founding team’s previous company had a 9 figure exit to IBM.

FirstCut – FirstCut helps businesses put video content out at scale. Video dominates social media — it creates 10x more comments than text — and is emerging as a necessity for B2B media. But putting video out if you are a B2B marketer normally requires using agencies that charge hefty fees. FirstCut wants to disrupt the agencies with software and marketplaces. They use software automation and an on-demand talent marketplace to offer a fixed price product for video content. They are at $180k revenue, and most of it is moving to recurring subscriptions.

LynxCare – LynxCare claims that 90% of healthcare data goes untapped when doctors make critical decisions about your life. Further, they claim the average person’s life could be extended by 4 years if that data can be converted into insights. Their team of clinicians and data scientists aims to do just that — building a data platform that aggregates disparate data sets and drive insight for better clinical outcomes. And it looks like their platform has fans: they are active in 9 hospitals, count Pharma companies like Pfizer as Partners, and grew 4x over the past year and now are at $800K ARR.

ADIAN – Adian is a B2B SaaS product that digitizes the complex agrochemical supply chain in order to improve the sales process between manufacturers and distributors. The company claims manufacturers reduce costs by 20% and increase sales by 4% by using their online framework. $1.5 Billion and 70,000 orders have gone through the platform to date.

Hardin Scientific – Hardin is building IoT-enabled, Smart Lab Equipment. The hardware becomes a gateway to become the hub for monitoring, controlling, and sharing scientific data across teams. They’ve closed over $1.5m in revenue, and raised $15m in equity and debt financing. One of their smart devices is being used to 3D print bio-tissues and human organs in space.

ZaiNar – This team of 5 Stanford grads — 3 PhD’s and 2 MBAs — joined up with the Co-Founder of BlueKai to build the world’s best time synchronization technology. ZaiNar claims their ability to wirelessly synchronize and distribute time between networked devices is a thousand times better than existing technologies. This enables them to locate RF-emitting devices (i.e. phones, cars, drones, & RFID) at long distances with sub-meter accuracy. Beyond location, this technology has applications across data transmission, 5G communications, and energy grids. ZaiNar has raised a $1.7 million seed from AME Cloud and Softbank, and has built an extensive patent portfolio.

SMART Brain Aging – This startup claims to reduce the onset of dementia by 2.25 years with software. They are the only company approved by Medicare to get reimbursed on a preventative basis for the treatment of dementia. In conjunction with Harvard University, they have developed 20,000 exercises that are clinically proven to reduce the onset of dementia and, they claim, help build neurotransmitters. The company works with 300 patients per week ($2.2 million annual revenue) and is building to a goal of helping 22,000 people in 24 months.

Phoneic – Phoneic believes the data trapped in voice calls from cellphones is a gold mine waiting to be unleashed. Their app records and transcribes cell phones conversations, and the company has built an integration layer to enterprise AI and CRM systems that traditionally didn’t have access to voice data. The team is led by the co-founder of 3jam, one of the first group SMS and virtual number companies, which was acquired by Skype in 2011. He is keenly aware of the power of virality — and like Skype, the use of Phoneic spreads its adoption. The company has already raised $800,000 in seed funding.

Arkose Labs – Whether or not you think Russia interfered with the 2016 election, it’s no secret that bots are having significant impact on society. Arkose Labs wants to fight fraud, without adding friction to legit users. Most fraud prevention platforms today focus on gathering info from the user and providing a probability score that the traffic is good or bad. This leaves companies with a difficult decision where they may be blocking revenue generating users. Arkose has a different approach, and uses a bilateral approach that doesn’t force this tradeoff. They claim to be the only solution to offer a 100% SLA on fraud prevention. Big companies like Singapore Airlines and Electronic Arts are customers. USVP led a $6 million investment into the company.

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Instagram may divide hashtags from captions to end overhashing

Geofenced sharing, Quiz stickers, Stories Highlight stickers and a separate interface for adding hashtags to posts are amongst a slew of new features Instagram has prototyped or is now testing. The last one could finally #cure #the #hashtag #madness that’s infected many of Instagram’s 1 billion users, causing them desperately to fill up their captions with tagged words that make the feed tough to read in hopes of scoring a few extra views or followers. [Update: Instagram has also confirmed the launch of GIFs in Direct messaging. Details below.]

The pace of iteration at Instagram is staggering, and helping it to leave Snapchat in the dust. With Facebook’s deep pockets funding its product, design and engineering teams, Instagram is able to keep its app full of fresh toys to play with. Here’s a look at three prototypes, one test and one confirmed roll out from Instagram.

Hashtag selector

The feature isn’t released or even necessarily testing yet, and Instagram refused to comment on it. But frequent TechCrunch tipster and mobile researcher Jane Manchun Wong was able to dig the designated hashtag selector prototype out of the Instagram Android app’s code. It shows a dedicated “Add Hashtags” option underneath the caption composer and people tagger. Similar past discoveries by Wong have led to TechCrunch scoops about the eventual release of Instagram video calling, name tags, music stickers and more, though there’s always a chance Instagram scraps this feature before it ever launches.

Disambiguating hashtags from captions could make adding them to posts less invasive and distracting, and thereby get more users doing it. That could in turn help Instagram tune its feed algorithm to show you more posts with hashtags you seem to care about, get more users following hashtags and allow it to better sort the Explore page with its new topic channels like Sports, Beauty and Shopping. But perhaps most importantly, it could just make Instagram less annoying. Everyone has that friend that slaps on so many hashtags that their captions become an incoherent mess.

Geofenced posts

Wong also dug out a powerful new feature that could help social media managers, businesses and pro creators reach the right audience. Instagram has prototyped a “Choose Locations” option for posts that lets you select from a list of countries where you want your post to be visible. Instagram declined to comment.

The geofencing feature might enable Instagrammers to design different content and captions for different countries and languages. Facebook has offered geofencing for posts for many years, and Instagram already offers ad targeting down to the ZIP code or mile radius. But if this location chooser launches for everyone’s posts, it could let people and professional accounts express their prismatic identity differently across the globe.

Stories Highlight stickers

Instagram gave me a confirmation that this final find by Wong is officially in testing. It allows users to turn someone else’s Stories Highlight from their profile into a sticker to overlay on their own Story. It’s an extension of the Quote-tweet style feature Instagram started testing in March that lets you turn people’s public feed posts into Stories stickers so you can add your commentary — or dunk on someone dumb. Stories Highlight stickers could create a new path to virality for star creators who could convince their followers to re-share their Highlights and turn their friends into fellow fans.

Quiz stickers

This prototype discovered by WABetaInfo‘s Twitter account allows users to ask a question in their Story and designate a correct answer. The Quiz sticker functions similarly to Instagram’s recently added Poll and Question stickers, but instead of tallying the results or letting you re-post someone’s answer, they’ll immediately see whether they guessed the right answer to your test. This ties into Instagram’s strategy to crush Snapchat by making its own Stories more interactive and turning the connection between fans and followers into a two-way street.

Video tagging

Instagram did confirm the launch of one new feature, tagging people in videos. TechCrunch spotted this last week and Instagram said it was testing, but upon our inquiry told us that it’s now fully rolled out. Video tagging could generate extra visits for Instagram as few people have the willpower to ignore a notification that they were named in a new piece of content. The feature could also help Instagram figure out who to show the videos to by allowing it to place them high in the feed of the best friends of people tagged.

GIFs in Direct

Today Instagram also confirmed that GIFs are rolling out to Direct messaging on iOS and Android, allowing you to search through a GIPHY-powered archive of animated images, or swipe through a trending GIFs section. You can also tap the “random” button after entering some keywords to get a surprise GIF added to your conversation. And after previously obscuring who actually made those GIFs, users can now tap and hold on to them to see the creator and other GIFs they’ve made. Instagram first offered GIFs as Stories stickers in January, and Wong had previously spotted them in Direct in Instagram’s code back in July. Clearly the racist GIF fiasco that led Instagram to temporarily shut down the GIF stickers hasn’t deterred it from expanding its partnership with GIPHY.

Combined, this flurry of new and potential features proves Instagram isn’t allowing its dominance to diminish its shipping schedule. It also demonstrates that Instagram VP of product Kevin Weil’s move to Facebook’s blockchain team and his replacement by former News Feed VP Adam Mosseri hasn’t disrupted the app’s brisk pace of innovation.

The jury is still out about whether Instagram’s biggest new initiatives will take off. IGTV is off to a slow start, but will need time to build a long-form video archive to rival YouTube. And we’ll have to wait and see if users grow addicted to Instagram Explore’s new Shopping channel. But constantly updating the app takes pressure off of any one feature to carry the weight of a billion people’s eyes. Who wants to build a direct competitor to something evolving this fast?

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AI could help push Neo4j graph database growth

Graph databases have always been useful to help find connections across a vast data set, and it turns out that capability is quite handy in artificial intelligence and machine learning too. Today, Neo4j, the makers of the open source and commercial graph database platform, announced the release of Neo4j 3.5, which has a number of new features aimed specifically at AI and machine learning.

Neo4j founder and CEO Emil Eifrem says he had recognized the connection between AI and machine learning and graph databases for a while, but he says that it has taken some time for the market to catch up to the idea.

“There has been a lot momentum around AI and graphs…Graphs are very fundamental to AI. At the same time we were seeing some early use cases, but not really broad adoption, and that’s what we’re seeing right now,” he explained.

AI graph uses cases. Graphic: Neo4j

To help advance AI uses cases, today’s release includes a new full text search capability, which Eifrem says has been one of the most requested features. This is important because when you are making connections between entities, you have to be able to find all of the examples regardless of how it’s worded — for example, human versus humans versus people.

Part of that was building their own indexing engine to increase indexing speed, which becomes essential with ever more data to process. “Another really important piece of functionality is that we have improved our data ingestion very significantly. We have 5x end-to-end performance improvements when it comes to importing data. And this is really important for connected feature extraction, where obviously, you need a lot of data to be able to train the machine learning,” he said. That also means faster sorting of data too.

Other features in the new release include improvements to the company’s own Cypher database query language and better visualization of the graphs to give more visibility, which is useful for visualizing how machine learning algorithms work, which is known as AI explainability. They also announced support for the Go language and increased security.

Graph databases are growing increasingly important as we look to find connections between data. The most common use case is the knowledge graph, which is what lets us see connections in a huge data sets. Common examples include who we are connected to on a social network like Facebook, or if we bought one item, we might like similar items on an ecommerce site.

Other use cases include connected feature extraction, a common machine learning training techniques that can look at a lot of data and extract the connections, the context and the relationships for a particular piece of data, such as suspects in a criminal case and the people connected to them.

Neo4j has over 300 large enterprise customers including Adobe, Microsoft, Walmart, UBS and NASA. The company launched in 2007 and has raised $80 million. The last round was $36 million in November 2016.

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