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OnePlus recruits Hasselblad for 3-year smartphone imaging deal

Imaging has long been the primary battlefield on which the smartphone battles are waged. It makes sense. The thing about smartphones in 2021 is that they’re mostly very good. Sure, there are differentiators, but if you spend a decent amount on a device from any major manufacturer, you’re probably going to get a pretty good device.

But there’s still plenty of opportunity to continually bridge the gap between smartphone imaging and devoted camera systems. Today OnePlus takes a potentially key step in that direction by announcing a partnership with Hasselblad. The DJI-owned Swedish camera maker has signed onto a three-year partnership with OnePlus.

According to a release tied to the news, the pair plan to spend $150 million over the course of the deal, in an attempt to vault OnePlus to the front of the pack. Hasselblad has dipped its toes in the mobile market, including a Moto Z attachment, and has created cameras for DJI drones, but this represents a pretty big move for the 180-year-old camera company.

The first fruits of the partnership will arrive on the OnePlus 9, a new handset set to launch on March 23. The companies promise a “revamped camera system.” The phone will feature a Sony IMX789 sensor, coupled with HDR video and the ability to capture 4K at 120 FPS and 8K at 30 FPS.

Per the release:

The partnership will continuously develop over the next three years, starting with software improvements including color tuning and sensor calibration, and extending to more dimensions in the future. The two parties will jointly define the technology standards of the mobile camera experience and develop innovative imaging technologies, continuing to improve the Hasselblad Camera for Mobile. Both companies are committed to delivering immediate benefit for OnePlus users, while continuously collaborating to further improve the user experience and quality for the long term.

The deal includes the development of four global labs, including U.S. and Japan locations and:

Pioneering new areas of smartphone imaging technology for future OnePlus camera systems, such as a panoramic camera with a 140-degree field of view, T-lens technology for lightning-fast focus in the front-facing camera, and a freeform lens — to be first introduced on the OnePlus 9 Series — that practically eliminates edge distortion in ultrawide photos.

It will be interesting to see how a company like Hasselblad will take to mobile imaging, though such a deal could be a secret weapon as OnePlus looks to keep on the flagship end of the mobile spectrum against the likes of Apple and Samsung.


Early Stage is the premier ‘how-to’ event for startup entrepreneurs and investors. You’ll hear firsthand how some of the most successful founders and VCs build their businesses, raise money and manage their portfolios. We’ll cover every aspect of company building: Fundraising, recruiting, sales, product-market fit, PR, marketing and brand building. Each session also has audience participation built in – there’s ample time included for audience questions and discussion.

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Investors still love software more than life

Welcome back to The TechCrunch Exchange, a weekly startups-and-markets newsletter. It’s broadly based on the daily column that appears on Extra Crunch, but free, and made for your weekend reading. Want it in your inbox every Saturday morning? Sign up here.

Ready? Let’s talk money, startups and spicy IPO rumors.

Despite some recent market volatility, the valuations that software companies have generally been able to command in recent quarters have been impressive. On Friday, we took a look into why that was the case, and where the valuations could be a bit more bubbly than others. Per a report written by few Battery Ventures investors, it stands to reason that the middle of the SaaS market could be where valuation inflation is at its peak.

Something to keep in mind if your startup’s growth rate is ticking lower. But today, instead of being an enormous bummer and making you worry, I have come with some historically notable data to show you how good modern software startups and their larger brethren have it today.

In case you are not 100% infatuated with tables, let me save you some time. In the upper right we can see that SaaS companies today that are growing at less than 10% yearly are trading for an average of 6.9x their next 12 months’ revenue.

Back in 2011, SaaS companies that were growing at 40% or more were trading at 6.0x their next 12 month’s revenue. Climate change, but for software valuations.

One more note from my chat with Battery. Its investor Brandon Gleklen riffed with The Exchange on the definition of ARR and its nuances in the modern market. As more SaaS companies swap traditional software-as-a-service pricing for its consumption-based equivalent, he declined to quibble on definitions of ARR, instead arguing that all that matters in software revenues is whether they are being retained and growing over the long term. This brings us to our next topic.

Consumption v. SaaS pricing

I’ve taken a number of earnings calls in the last few weeks with public software companies. One theme that’s come up time and again has been consumption pricing versus more traditional SaaS pricing. There is some data showing that consumption-priced software companies are trading at higher multiples than traditionally priced software companies, thanks to better-than-average retention numbers.

But there is more to the story than just that. Chatting with Fastly CEO Joshua Bixby after his company’s earnings report, we picked up an interesting and important market distinction between where consumption may be more attractive and where it may not be. Per Bixby, Fastly is seeing larger customers prefer consumption-based pricing because they can afford variability and prefer to have their bills tied more closely to revenue. Smaller customers, however, Bixby said, prefer SaaS billing because it has rock-solid predictability.

I brought the argument to Open View Partners Kyle Poyar, a venture denizen who has been writing on this topic for TechCrunch in recent weeks. He noted that in some cases the opposite can be true, that variably priced offerings can appeal to smaller companies because their developers can often test the product without making a large commitment.

So, perhaps we’re seeing the software market favoring SaaS pricing among smaller customers when they are certain of their need, and choosing consumption pricing when they want to experiment first. And larger companies, when their spend is tied to equivalent revenue changes, bias toward consumption pricing as well.

Evolution in SaaS pricing will be slow, and never complete. But folks really are thinking about it. Appian CEO Matt Calkins has a general pricing thesis that price should “hover” under value delivered. Asked about the consumption-versus-SaaS topic, he was a bit coy, but did note that he was not “entirely happy” with how pricing is executed today. He wants pricing that is a “better proxy for customer value,” though he declined to share much more.

If you aren’t thinking about this conversation and you run a startup, what’s up with that? More to come on this topic, including notes from an interview with the CEO of BigCommerce, who is betting on SaaS over the more consumption-driven Shopify.

Next Insurance, and its changing market

Next Insurance bought another company this week. This time it was AP Intego, which will bring integration into various payroll providers for the digital-first SMB insurance provider. Next Insurance should be familiar because TechCrunch has written about its growth a few times. The company doubled its premium run rate to $200 million in 2020, for example.

The AP Intego deal brings $185.1 million of active premium to Next Insurance, which means that the neo-insurance provider has grown sharply thus far in 2021, even without counting its organic expansion. But while the Next Insurance deal and the impending Hippo SPAC are neat notes from a hot private sector, insurtech has shed some of its public-market heat.

Stocks of public neo-insurance companies like Root, Lemonade and MetroMile have lost quite a lot of value in recent weeks. So, the exit landscape for companies like Next and Hippo — yet-private insurtech startups with lots of capital backing their rapid premium growth — is changing for the worse.

Hippo decided it will debut via a SPAC. But I doubt that Next Insurance will pursue a rapid ramp to the public markets until things smooth out. Not that it needs to go public quickly; it raised a quarter billion back in September of last year.

Various and Sundry

What else? Sisense, a $100 million ARR club member, hired a new CFO. So we expect them to go public inside the next four or five quarters.

And the following chart, which is via Deena Shakir of Lux Capital, via Nasdaq, via SPAC Alpha:

Alex

 

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The Product Manager asterisk

Product manager might be one of the most grey roles within a startup. However, as a company progresses and the team grows, there comes a time when a founder needs to carve out dedicated roles. Of these positions, product management might be one of the most elusive — and key — roles to fill.

Ken Norton, who recently left his job as director of product at Figma to consult rising PMs, thinks it’s easier to start with defining what they aren’t: the CEO of the product.

“Product managers need to realize that there is a lot of janitorial work that gets done in product management,” he said. “It’s not fun or glamorous, and it’s certainly not being the CEO of the product. It’s just stuff that needs to get done.” I wrote up a guide on how and when to hire your first product manager that expands on some of these insights, including how focus might be the biggest trait to interview for:

Hiring continues to be one of the hardest parts of building a startup, and those early employees can define the trajectory, culture and eventual success of it. Even during TC Sessions: Justice this past week, Precursor’s Sydney Thomas explained how startups need to make “pretty final decisions, pretty early on in what type of company you want to build.”

It’s a slight asterisk to the common narrative of how startups pivot every other day. It’s not that simple, and I’ll probably remind you of that every other week, dear Startups Weekly readers.

The rest of today’s newsletter will include notes on a hot up-and-coming edtech IPO, an exit that includes Jay-Z, and the latest in agricultural tech robots. Also, remember you can always find me on Twitter @nmasc_ or e-mail me at natasha.m@techcrunch.com.

The public markets get educated

It’s been yet another busy week for the public markets. I published a scoop earlier this week that Coursera is filing to go public soon, which would be one of the first debuts that will let us see how an education company’s finances changed, and accelerated, amid the pandemic’s impact on remote learning.

Here’s what to know: Like clockwork, Coursera’s S-1 dropped late Friday, giving us the first glance of the numbers behind the business. The startup tried to pain a picture of a path of profitability, with rising revenues as well as rising net losses. We get into the meat of it here. 

Image Credits: Fotograzia / Getty Images

What’s better than one billionaire? Two 

One of the biggest headlines of this past week was Square buying a majority stake of Tidal. A fintech and music collaboration might not seem that obvious, but the music economy remains one of the most under-tapped (and under-innovated) opportunities that remains out there.

Here’s what to know: Square CEO Jack Dorsey used his other company, Twitter, to share more information about the $297 million deal. As part of this transaction, Tidal owner Jay-Z got a board seat with Square, triggering conversations about the future of musical NFTs. The deal also officially confirmed that Jay-Z isn’t just a businessman, he’s a business, man.

Singer Jay-Z performs before US President Barack Obama speaks at a campaign rally in Columbus, Ohio, on November 5, 2012. After a grueling 18-month battle, the final US campaign day arrived Monday for Obama and Republican rival Mitt Romney, two men on a collision course for the world’s top job. The candidates have attended hundreds of rallies, fundraisers and town halls, spent literally billions on attack ads, ground games, and get out the vote efforts, and squared off in three intense debates. AFP PHOTO/Jewel Samad (Photo credit should read JEWEL SAMAD/AFP/Getty Images)

Decentralized insect farming, anyone?

In this week’s Equity Wednesday episode, we brought on TC’s climate tech editor, Jonathan Shieber, to talk about the opportunities within agtech right now. We covered a lot within the 20-minute episode: from $100 million for mealworms, farm-to-grill robots and decentralized insect farming.

Here’s what to know: Farms have always had a compelling reason to turn to robotics to make tedious work much, much easier. We got into two different businesses and their approaches on how to serve farm robots, from SaaS leases to selling the robots one by one.

Image Credits: Fernando Trabanco Fotografía / Getty Images

Around TechCrunch

Thanks to all of you who tuned into TC Sessions: Justice this past week, it was so fun to hang — and make sure to give virtual kudos to my colleague, and showrunner, Megan Rose Dickey.

Next up is TechCrunch Early Stage, our yearly event that is all about tactical advice to help new and first-time founders navigate the Wild West world that is venture capital and startups. We just announced the judges of the pitch-off competition, and have already landed top-tier venture capitalists to share what you won’t find on Twitter: behind the scenes startup advice that is beyond 180 characters.

It’s the bootcamp you always wished you could attend, so get your tickets here.

Across the week

Seen on Extra Crunch

Understanding how investors value growth in 2021

Dear Sophie: Can you demystify the H-1B process and E-3 premium processing

11 words and phrases to cut from your VC pitch deck

Making sense of the $6.5B Okta-Auth0 deal

Seen on TechCrunch

SoftBank makes mountains of cash off of human laziness

Mary Meeker’s Bond has closed its second fund with $2 billion

The technology selloff is getting to be somewhat material

What China’s Big Tech CEOs propose at the annual parliament meeting

And finally…

I wanted to end by using this platform to address the rise of anti-Asian violence across our country. Conversations around how to be a more inclusive and anti-racist society need to be more loud, and more collaborative in order for change to actually happen. Intention around inclusion will impact the world we live in, the startups we create and the success of our collective. Here are some resources to donate, petition and learn.

Thanks,

N

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A first look at Coursera’s S-1 filing

After TechCrunch broke the news yesterday that Coursera was planning to file its S-1 today, the edtech company officially dropped the document Friday evening.

Coursera was last valued at $2.4 billion by the private markets, when it most recently raised a Series F round in October 2020 that was worth $130 million.

Coursera’s S-1 filing offers a glimpse into the finances of how an edtech company, accelerated by the pandemic, performed over the past year. It paints a picture of growth, albeit one that came at steep expense.

Revenue

In 2020, Coursera saw $293.5 million in revenue. That’s a roughly 59% increase from the year prior when the company recorded $184.4 million in top line. During that same period, Coursera posted a net loss of nearly $67 million, up 46% from the previous year’s $46.7 million net deficit.

Notably the company had roughly the same noncash, share-based compensation expenses in both years. Even if we allow the company to judge its profitability on an adjusted EBITDA basis, Coursera’s losses still rose from 2019 to 2020, expanding from $26.9 million to $39.8 million.

To understand the difference between net losses and adjusted losses it’s worth unpacking the EBITDA acronym. Standing for “earnings before interest, taxes, depreciation and amortization,” EBITDA strips out some nonoperating costs to give investors a possible better picture of the continuing health of a business, without getting caught up in accounting nuance. Adjusted EBITDA takes the concept one step further, also removing the noncash cost of share-based compensation, and in an even more cheeky move, in this case also deducts “payroll tax expense related to stock-based activities” as well.

For our purposes, even when we grade Coursera’s profitability on a very polite curve it still winds up generating stiff losses. Indeed, the company’s adjusted EBITDA as a percentage of revenue — a way of determining profitability in contrast to revenue — barely improved from a 2019 result of -15% to -14% in 2020.

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Snowflake latest enterprise company to feel Wall Street’s wrath after good quarter

Snowflake reported earnings this week, and the results look strong with revenue more than doubling year-over-year.

However, while the company’s fourth quarter revenue rose 117% to $190.5 million, it apparently wasn’t good enough for investors, who have sent the company’s stock tumbling since it reported Wednesday after the bell.

It was similar to the reaction that Salesforce received from Wall Street last week after it announced a positive earnings report. Snowflake’s stock closed down around 4% today, a recovery compared to its midday lows when it was off nearly 12%.

Why the declines? Wall Street’s reaction to earnings can lean more on what a company will do next more than its most recent results. But Snowflake’s guidance for its current quarter appeared strong as well, with a predicted $195 million to $200 million in revenue, numbers in line with analysts’ expectations.

Sounds good, right? Apparently being in line with analyst expectations isn’t good enough for investors for certain companies. You see, it didn’t exceed the stated expectations, so the results must be bad. I am not sure how meeting expectations is as good as a miss, but there you are.

It’s worth noting of course that tech stocks have taken a beating so far in 2021. And as my colleague Alex Wilhelm reported this morning, that trend only got worse this week. Consider that the tech-heavy Nasdaq is down 11.4% from its 52-week high, so perhaps investors are flogging everyone and Snowflake is merely caught up in the punishment.

Snowflake CEO Frank Slootman pointed out in the earnings call this week that Snowflake is well positioned, something proven by the fact that his company has removed the data limitations of on-prem infrastructure. The beauty of the cloud is limitless resources, and that forces the company to help customers manage consumption instead of usage, an evolution that works in Snowflake’s favor.

“The big change in paradigm is that historically in on-premise data centers, people have to manage capacity. And now they don’t manage capacity anymore, but they need to manage consumption. And that’s a new thing for — not for everybody but for most people — and people that are in the public cloud. I have gotten used to the notion of consumption obviously because it applies equally to the infrastructure clouds,” Slootman said in the earnings call.

Snowflake has to manage expectations, something that translated into a dozen customers paying $5 million or more per month to Snowflake. That’s a nice chunk of change by any measure. It’s also clear that while there is a clear tilt toward the cloud, the amount of data that has been moved there is still a small percentage of overall enterprise workloads, meaning there is lots of growth opportunity for Snowflake.

What’s more, Snowflake executives pointed out that there is a significant ramp up time for customers as they shift data into the Snowflake data lake, but before they push the consumption button. That means that as long as customers continue to move data onto Snowflake’s platform, they will pay more over time, even if it will take time for new clients to get started.

So why is Snowflake’s quarterly percentage growth not expanding? Well, as a company gets to the size of Snowflake, it gets harder to maintain those gaudy percentage growth numbers as the law of large numbers begins to kick in.

I’m not here to tell Wall Street investors how to do their job, anymore than I would expect them to tell me how to do mine. But when you look at the company’s overall financial picture, the amount of untapped cloud potential and the nature of Snowflake’s approach to billing, it’s hard not to be positive about this company’s outlook, regardless of the reaction of investors in the short term.

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Deep Science: AI adventures in arts and letters

There’s more AI news out there than anyone can possibly keep up with. But you can stay tolerably up to date on the most interesting developments with this column, which collects AI and machine learning advancements from around the world and explains why they might be important to tech, startups or civilization.

To begin on a lighthearted note: The ways researchers find to apply machine learning to the arts are always interesting — though not always practical. A team from the University of Washington wanted to see if a computer vision system could learn to tell what is being played on a piano just from an overhead view of the keys and the player’s hands.

Audeo, the system trained by Eli Shlizerman, Kun Su and Xiulong Liu, watches video of piano playing and first extracts a piano-roll-like simple sequence of key presses. Then it adds expression in the form of length and strength of the presses, and lastly polishes it up for input into a MIDI synthesizer for output. The results are a little loose but definitely recognizable.

Diagram showing how video of a piano player's hands on the keys is turned into MIDI sequences.

Image Credits: Shlizerman, et. al

“To create music that sounds like it could be played in a musical performance was previously believed to be impossible,” said Shlizerman. “An algorithm needs to figure out the cues, or ‘features,’ in the video frames that are related to generating music, and it needs to ‘imagine’ the sound that’s happening in between the video frames. It requires a system that is both precise and imaginative. The fact that we achieved music that sounded pretty good was a surprise.”

Another from the field of arts and letters is this extremely fascinating research into computational unfolding of ancient letters too delicate to handle. The MIT team was looking at “locked” letters from the 17th century that are so intricately folded and sealed that to remove the letter and flatten it might permanently damage them. Their approach was to X-ray the letters and set a new, advanced algorithm to work deciphering the resulting imagery.

Diagram showing x-ray views of a letter and how it is analyzed to virtually unfold it.

Diagram showing X-ray views of a letter and how it is analyzed to virtually unfold it. Image Credits: MIT

“The algorithm ends up doing an impressive job at separating the layers of paper, despite their extreme thinness and tiny gaps between them, sometimes less than the resolution of the scan,” MIT’s Erik Demaine said. “We weren’t sure it would be possible.” The work may be applicable to many kinds of documents that are difficult for simple X-ray techniques to unravel. It’s a bit of a stretch to categorize this as “machine learning,” but it was too interesting not to include. Read the full paper at Nature Communications.

Diagram showing reviews of electric car charge points are analyzed and turned into useful data.

Image Credits: Asensio, et. al

You arrive at a charge point for your electric car and find it to be out of service. You might even leave a bad review online. In fact, thousands of such reviews exist and constitute a potentially very useful map for municipalities looking to expand electric vehicle infrastructure.

Georgia Tech’s Omar Asensio trained a natural language processing model on such reviews and it soon became an expert at parsing them by the thousands and squeezing out insights like where outages were common, comparative cost and other factors.

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How and when to hire your first product manager

In the world of early-stage startups, job titles are often a formality. In reality, each employee may handle a dozen responsibilities outside their job description. The choose-your-own-adventure type of work style is part of the magic of startups and often why generalists thrive here.

However, as a company progresses and the team grows, there comes a time when a founder needs to carve out dedicated roles. Of these positions, product management might be one of the most elusive — and key — roles to fill.

Product management might be one of the most elusive — and key — roles to fill.

We spoke to startup founders and operators to get their thoughts about how and when they hired their first product manager. Some of the things we talked about were:

  •  Which traits to look for.
  •  Why it’s important to define the role before you look for your best fit.
  •  Whether your new hire needs to have a technical background.
  •  The best questions to ask in an interview.
  •  How to time your first hire and avoid overhiring.

Don’t hire for the CEO of a product

Let’s start by working backward. Product managers often graduate into a CEO role or leave a company to become a founder. Like founders, talented product managers have innate leadership skills and are able to effectively and clearly communicate. Similarly, both roles require a person who is a visionary when it comes to the product and execution.

David Blake was a product manager before he became a serial edtech founder who created Degreed, Learn In, and most recently, BookClub. He says that experience helped him launch the first prototype of Degreed and attract first clients.

“The must-have skill is the ability to put the team’s best wisdom in check and inform the product decisions with users and potential clients to inform what you are building,” he said. The person “must also be able to take the team’s mission and develop and sell that narrative to users and potential clients. That is how you blaze a new trail, balance risk, while avoiding building a ‘faster horse.”

The overlapping synergies between PMs and founders is part of the reason why the role is so confusing to define and hire for. Ken Norton, former director of product at Figma who recently left to solo advise and coach product managers, says companies can start by defining what PMs are not: The CEO of the product.

“It’s about not handing off the product responsibilities to somebody,” he said. “You want the founder and the CEO to continue to be the evangelist and visionary.” Instead, the role is more about day to day “blocking and tackling.” Norton wrote a piece more than 15 years ago about how to hire a product manager, and it’s still an essential read for anyone interested in the field.

Define the role and set your expectations

Product managers help translate all the jugglers within a startup to each other; connecting the engineer with marketing, design with business development and sales with all the above. The role at its core is hard to define, but at the same time is the necessary plumbing for any startup that wants to be high-growth and ambitious.

While a successful product manager is a strong generalist, they have to have the ability to understand and humanize technical processes. The best candidates, then, have some sort of technical experience as an engineer or otherwise.

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Dan Siroker’s new startup Scribe automates Zoom note-taking

Optimizely co-founder Dan Siroker said the idea for his new startup Scribe goes back to a couple of personal experiences — and although Scribe’s first product is focused on Zoom, those experiences weren’t Zoom-related at all.

Instead, Siroker recalled starting to go deaf and then having an “epiphany” the first time he put in a hearing aid, as he recovered a sense he thought he’d lost.

“That really was the spark that got me thinking about other opportunities to augment things your body naturally fails at,” he said.

Siroker added that memory was an obvious candidate, particularly since he also has aphantasia — the inability to visualize mental images, which made it “hard to remember certain things.”

It may jog your own memory if I note that Siroker founded Optimizely with Pete Koomen in 2010, then stepped down from the CEO role in 2017, with the testing and personalization startup acquired by Episerver last year. (And now Episerver itself is rebranding as Optimizely.)

Fast-forward to the present day and Siroker is now CEO at Scribe, which is taking signups for its first product. That product integrates into Zoom meetings and transforms them into searchable, shareable transcripts.

Siroker demonstrated it for me during our Zoom call. Scribe appears in the meeting as an additional participant, recording video and audio while creating a real-time transcript. During or after the meeting, users can edit the transcript, watch or listen to the associated moment in the recording and highlight important points.

From a technological perspective, none of this feels like a huge breakthrough, but I was impressed by the seamlessness of the experience — just by adding an additional participant, I had a full recording and searchable transcript of our conversation that I could consult later, including while I was writing this story.

Scribe screenshot

Image Credits: Scribe

Although Scribe is recording the meeting, Siroker said he wants this to be more like a note-taking replacement than a tape recorder.

“Let’s say you and I were meeting and I came to that meeting with a pen and paper and I’m writing down what you’re saying,” he said. “That’s totally socially acceptable — in some ways, it’s flattering … If instead, I brought a tape recorder and plopped in front of you and hit record — you might actually have this experience — with some folks, that feels very different.”

The key, he argued, is that Scribe recordings and transcripts can be edited, and you can also turn individual components on and off at any time.

“This is not a permanent record,” he said. “This is a shared artifact that we all create as we have a meeting that — just like a Google Doc — you can go back and make changes.”

That said, it’s still possible that Scribe could record some embarrassing comments, and the recordings could eventually get meeting participants in trouble. (After all, leaked company meeting recordings have already prompted a number of news stories.) Siroker said he hopes that’s “not common,” but he also argued that it could create an increased sense of transparency and accountability if it happens occasionally.

Scribe has raised around $5 million in funding, across a round led by OpenAI CEO Sam Altman and another led by First Round Capital.

Scribe screenshot

Image Credits: Scribe

Siroker told me he sees Zoom as just the “beachhead” for Scribe’s ambitions. Next up, the company will be adding support for products like Google Meet and Microsoft Teams. Eventually, he hopes to build a new “hive mind” for organizations, where everyone is “smarter and better” because so many of their conversations and knowledge are now searchable.

“Where we go after that really depends on where we think we can have the biggest positive impact on people’s lives,” he said. “It’s harder to make a case for personal conversations you have with a spouse but … I think if you strike the right balance between value and privacy and control, you could really get people to adopt this in a way that actually is a win-win.”

And if Scribe actually achieves its mission of helping us to record and recall information in a wide variety of contexts, could that have an impact on our natural ability to remember things?

“Yes is the answer, and I think that’s okay,” he responded. “Your brain has limited energy … Remembering the things somebody said a few weeks ago is something a computer can do amazingly. Why waste your precious brain cycles doing that?”


Early Stage is the premier ‘how-to’ event for startup entrepreneurs and investors. You’ll hear first-hand how some of the most successful founders and VCs build their businesses, raise money and manage their portfolios. We’ll cover every aspect of company-building: Fundraising, recruiting, sales, product market fit, PR, marketing and brand building. Each session also has audience participation built-in – there’s ample time included for audience questions and discussion.

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How Rani Therapeutics’ robotic pill could change subcutaneous injection treatment

A new auto-injecting pill might soon become a replacement for subcutaneous injection treatments.

The idea for this so-called robotic pill came out of a research project around eight years ago from InCube Labs — a life sciences lab operated by Rani Therapeutics Chairman and CEO Mir Imran, who has degrees in electrical and biomedical engineering from Rutgers University. A prominent figure in life sciences innovation, Imran has founded more than 20 medical device companies and helped develop the world’s first implantable cardiac defibrillator.

In working on the technology behind San Jose-based Rani Therapeutics, Imran and his team wanted to find a way to relieve some of the painful side effects of subcutaneous (or under-the-skin) injections, while also improving the treatment’s efficacy. “The technology itself started with a very simple thesis,” said Imran in an interview. “We thought, why can’t we create a pill that contains a biologic drug that you swallow, and once it gets to the intestine, it transforms itself and delivers a pain-free injection?”

Rani Therapeutics’ approach is based on inherent properties of the gastrointestinal tract. An injecting mechanism in their pill is surrounded by a pH-sensitive coating that dissolves as the capsule moves from a patient’s stomach to the small intestine. This helps ensure that the pill starts injecting the medicine in the right place at the right time. Once there, the reactants mix and produce carbon dioxide, which in turn inflates a small balloon that helps create a pressure difference to help inject the drug-loaded needles into the intestinal wall. “So it’s a really well-timed cascade of events that results in the delivery of this needle,” said Imran.

Despite its somewhat mechanical procedure, the pill itself contains no metal or springs, reducing the chance of an inflammatory response in the body. The needles and other components are instead made of injectable-grade polymers, that Imran said has been used in other medical devices as well. Delivering the injections to the upper part of the small intestine also carries little risk of infection, as the prevalence of stomach acid and bile from the liver prevent bacteria from readily growing there.

One of Imran’s priorities for the pill was to eliminate the painful side effects of subcutaneous injections. “It wouldn’t make sense to replace them with another painful injection,” he said. “But biology was on our side, because your intestines don’t have the kind of pain sensors your skin does.” What’s more, administering the injection into the highly vascularized wall of the small intestine actually allows the treatment to work more efficiently than when applied through subcutaneous injection, which typically deposits the treatment into fatty tissue.

Imran and his team have plans to use the pill for a variety of indications, including the growth hormone disorder acromegaly, diabetes and osteoporosis. In January 2020, their acromegaly treatment, Octreotide, demonstrated both safety and sustained bioavailability in primary clinical trials. They hope to pursue future clinical trials for other indications, but chose to prioritize acromegaly initially because of its well-established treatment drug but “very painful injection,” Imran said.

At the end of last year, Rani Therapeutics raised $69 million in new funding to help further develop and test their platform. “This will finance us for the next several years,” said Imran. “Our approach to the business is to make the technology very robust and manufacturable.”


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Address cybersecurity challenges before rolling out robotic process automation

Robotic process automation (RPA) is making a major impact across every industry. But many don’t know how common the technology is and may not realize that they are interacting with it regularly. RPA is a growing megatrend — by 2022, Gartner predicts that 90% of organizations globally will have adopted RPA and its received over $1.8 billion in investments in the past two years alone.

Due to the shift to remote work, companies across every industry have implemented some form of RPA to simplify their operations to deal with an influx of requests. For example, when major airlines were bombarded with cancellation requests at the onset of the pandemic, RPA became essential to their customer service strategy.

Throughout 2021, security teams will begin to realize the unconsidered security challenges of robotic process automation.

According to Forrester, one major airline had over 120,000 cancellations during the first few weeks of the pandemic. By utilizing RPA to handle the influx of cancellations, the airline was able to simplify its refund process and assist customers in a timely matter.

Delivering this type of streamlined cancellation process with such high demand would have been extremely challenging, if not impossible, without RPA technology.

The multitude of other RPA use cases that have popped up since COVID-19 have made it evident that RPA isn’t going away anytime soon. In fact, interest in the usage of RPA is at an unprecedented high. Gartner inquiries related to RPA increased over 1,000% during 2020 as companies continue to invest.

However, there’s one big issue that’s commonly overlooked when it comes to RPA — security. Like we’ve seen with other innovations, the security aspect of RPA isn’t implemented in the early stages of development — leaving organizations vulnerable to cybercriminals.

If the security vulnerabilities of RPA aren’t addressed quickly, there will be a string of significant RPA breaches in 2021. However, by realizing that these new “digital coworkers” have identities of their own, companies can secure RPA before they make the headlines as the latest major breach.

Understanding RPA’s digital identity

With RPA, digital workers are created to take over repetitive manual tasks that have been traditionally performed by humans. Their interaction directly with business applications mimics the way humans use credentials and privilege — ultimately giving the robot an identity of its own. An identity that is created and operates much faster than any human identity but doesn’t eat, sleep, take holidays, go on strike or even get paid.

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