Category: UNCATEGORIZED

11 Nov 2019

Join Jeremy Johnson from Andela at Disrupt Berlin

Over the past few years, Andela has built a simple yet powerful answer to the talent shortage in Silicon Valley and other overheating tech ecosystems. The company helps you hire some of the most talented software developers in a handful of African cities. That’s why I’m excited to announce that Andela co-founder and CEO Jeremy Johnson is joining us at TechCrunch Disrupt Berlin.

Andela’s basic premise is that expertise is evenly distributed across the globe. And yet, the biggest tech companies are concentrated in a few places. More and more companies are now open to hiring remote employees and Andela is taking advantage of that.

The company makes it easy to find software engineers in no time. It screens applications and selects the best software engineers that can develop in Javascript (React.js, Angular.js), Python, Ruby, PHP and for the Android platform.

So far, 130,000 people have applied and Andela only accepted the top 1,000 engineers. The startup then tries to match your company with the best candidates for the job in order to facilitate onboarding. After that, you have a new team member.

With offices in Lagos, Nairobi, Kampala, Kigali, New York, San Francisco and Austin, Andela is trying to create a bridge between some of the most active tech communities in Africa and U.S.-based startups.

This isn’t Jeremy Johnson’s first startup. The young entrepreneur previously co-founded 2U, a software solution that helps schools and universities provide online degree programs. The company went public in 2014.

Buy your ticket to Disrupt Berlin to listen to this discussion — and many others. The conference will take place December 11-12.

In addition to panels and fireside chats, like this one, new startups will participate in the Startup Battlefield to compete for the highly coveted Battlefield Cup.

Jeremy Johnson is the CEO and Co-Founder of Andela, a company that builds high-performing, distributed engineering teams with Africa’s most talented software developers. Founded on the premise that brilliance is evenly distributed, Andela is solving the global technical talent shortage while catalyzing the growth of tech ecosystems on the African continent.

Prior to founding Andela, Jeremy co-founded 2U, one of the fastest growing education technology startups to date. 2U went public in 2014 (NASDAQ:TWOU) and continues to transform higher education by delivering the world’s best online degree programs with top tier universities.

Jeremy is recognized broadly for his work as an education innovator. He has spoken on education and entrepreneurship at meetings hosted by the White House and Congress. His speaking appearances include conferences and college campuses around the world as well as media outlets like NBC, ABC, FOX, and CNBC. Jeremy was named “30 Under 30” by Inc. Magazine in 2012 and Forbes in 2013 and 2014.

Outside of Andela, Jeremy serves on the board of the Young Entrepreneur Council and the education non-profit PENCIL and co-authored a book for the World Economic Forum: ‘Education & Skills 2.0: New Targets & Innovative Approaches.’

11 Nov 2019

A chat about UK deep tech and spin-out success with Octopus Ventures

New research commissioned by UK VC firm Octopus Ventures has put a spotlight on which of the country’s higher education institutions are doing the most to support spin outs. The report compiles a ranking of universities, foregrounding those with a record of producing what partner Simon King dubs “quality spin outs”.

The research combines and weights five data points — looking at university spinouts’ relative total funding as a means of quantifying exit success, for example. The idea for the Enterpreneurial Impact Ranking, as it’s been called, is to identify not just those higher education institutions with a track record of encouraging academics to set up a business off the back of a piece of novel work but those best at identifying the most promising commercialization opportunities — ultimately leading to spinout success (such as an exit where the company was sold for more than it raised).

Hence the report looking at data over almost a ten year period (2009-2018) to track spin-outs as they progress from an idea in the lab through prototyping to getting a product to market.

The ranking looks at five factors in all: Total funding per university; total spinouts created per university; total disclosures per university; total patents per university; and total sales from spinouts per university.

Topping the ranking is Queen’s University Belfast which the report notes has had a number of notable successes via its commercialization arm, Qubis, name checking the likes of Kainos (digital services), Andor Technology (scientific imaging) and Fusion Antibodies (therapeutics & diagnostics), all of whom have been listed on the London Stock Exchange.

The index ranks the top 100 UK universities on this entrepreneurial impact benchmark — but the rest of the top ten are as follows:

2) University of Cambridge
3) Cardiff University
4) Queen Mary University of London
5) University of Leeds
6) University of Dundee
7) University of Nottingham
8) King’s College London
9) University of Oxford
10) Imperial College London

Octopus Ventures says the ranking will help it to get a better handle on which universities to spend more time with as it searches for its next deep tech investment.

It also wants to increase visibility into how the UK is doing when it comes to commercializing academic research to feed further growth of the ecosystem by sharing best practice, per King.

“We are looking at a number of data points which are all self-reported by the universities themselves to the Higher Education Statistics Agency. And then we combine those in the way that we think brings out at a higher level which universities are doing a good job of spinning out companies,” he says.

“It means that you take into consideration which university is producing quality spin-outs. So it’s not just spray and pray and get lots of stuff out there. But actually which universities are creating spin-outs that then go on to return value back to them.”

11 Nov 2019

The post-exponential era of AI and Moore’s Law

My MacBook Pro is three years old, and for the first time in my life, a three-year-old primary computer doesn’t feel like a crisis which must be resolved immediately. True, this is partly because I’m waiting for Apple to fix their keyboard debacle, and partly because I still cannot stomach the Touch Bar. But it is also because three years of performance growth ain’t what it used to be.

It is no exaggeration to say that Moore’s Law, the mindbogglingly relentless exponential growth in our world’s computing power, has been the most significant force in the world for the last fifty years. So its slow deceleration and/or demise are a big deal, and not just because the repercussions are now making their way into every home and every pocket.

We’ve all lived in hope that some other field would go exponential, giving us another, similar, era, of course. AI/machine learning was the great hope, especially the distant dream of a machine-learning feedback loop, AI improving AI at an exponential pace for decades. That now seems awfully unlikely.

In truth it always did. A couple of years ago I was talking to the CEO of an AI company who argued that AI progress was basically an S-curve, and we had already reached its top for sound processing, were nearing it for image and video, but were only halfway up the curve for text. No prize for guessing which one his company specialized in — but it seems to have been entirely correct.

Earlier this week OpenAI released an update to their analysis from last year regarding how the computing power used by AI1 is increasing. The outcome? It “has been increasing exponentially with a 3.4-month doubling time (by comparison, Moore’s Law had a 2-year doubling period). Since 2012, this metric has grown by more than 300,000x (a 2-year doubling period would yield only a 7x increase).”

That’s … a lot of computing power to improve the state of the AI art, and it’s clear that this growth in compute cannot continue. Not “will not”; can not. Sadly, the exponential growth in the need for computing power to train AI has happened almost exactly contemporaneously with the diminishment of the exponential growth of Moore’s Law. Throwing more money at the problem won’t help — again, we’re talking about exponential rates of growth here, linear expense adjustments won’t move the needle.

The takeaway is that, even if we assume great efficiency breakthroughs and performance improvements to reduce the rate of doubling, AI progress seems to be increasingly compute-limited at a time when our collective growth in computing power is beginning to falter. Perhaps there’ll be some sort of breakthrough, but in the absence of one, it sounds a whole lot like we’re looking at AI/machine-learning progress leveling off, not long from now, and for the foreseeable future.


1It measures “the largest AI training runs,” technically, but this seems trend-instructive.

11 Nov 2019

Voi raises another $85M for its European e-scooter service

Voi Technology, the “micro-mobility” startup that operates an e-scooter service in a 38 cities across 10 European countries, has raised an $85 million in Series B funding.

Backing the round is a mixture of existing and new investors. They include Balderton Capital, Creandum, Project A, JME Ventures, Raine Ventures, Kreos Capital, Inbox Capital, Rider Global, and Black Ice Capital. The new funding brings the total raised by Voi to $136 million.

Eagled-eyed readers will have noticed that, based on our previous Voi coverage, the total figure is $32 million short. That’s because not all of Voi’s previous Series A commitment was cashed in after the company was offered more favourable terms for its $30 million Series A extension and therefore elected not to draw down the second tranche of its original Series A.

Launched in 2018, the company is best-known for its e-scooter rentals but now pitches itself as a micro-mobility provider, offering a number of different transport devices. These include various e-scooter and e-bike models, in a bid to become a broader transport operator helping to re-shape urban transport and wean people off using cars.

To date, Voi says it has 4 million registered users and has powered 14 million rides. More recently it has launched new, more robust hardware that has been designed to sustain the rigours of commercial e-bike sharing. The idea is that more suitable hardware will help e-scooter companies improve margins since more rides can be extracted from the life-span of each vehicle.

On that note, Voi says it will use the new funding to develop “strong profitable businesses” in the 38 cities where it is already operating, as well as increase its R&D spend to improve its technology platform and products. Earlier this year, the company announced that it is already profitable in the cities of Stockholm and Oslo.

“Clearly, we feel we are on track to achieve this in more of our cities and that is our aim,” Voi co-founder and CEO Fredrik Hjelm tells me. “At this point, a key focus for us is to ensure we continue to increase the lifetime of our e-scooters, forge key partnerships and continue to work in those cities which provide the best conditions for a profitable e-scooter business”.

Hjelm says that Voi’s version 2 scooters are projected to last over 18 months, which means the company should be in profit before it needs to raise again. However, he wouldn’t be drawn on when that might be.

With regards to R&D and improvements to the Voi platform, the company will continue to work on the lifetime of its e-scooters, in addition to improved repair management via integrating “predictive diagnostics”.

Hjelm also says Voi is developing “AI-powered” fleet management and more generally the platform’s capability to support future product portfolio expansion. In other words, we can expect new micro-mobility device categories in the future.

10 Nov 2019

China Roundup: facial recognition lawsuit and cashless payments for foreigners

Hello and welcome back to TechCrunch’s China Roundup, a digest of recent events shaping the Chinese tech landscape and what they mean to people in the rest of the world. This week, a lawsuit sparked a debate over the deployment of China’s pervasive facial recognition; meanwhile, in some good news, foreigners in China can finally experience cashless payment just like locals.

China’s first lawsuit against face scans

Many argue that China holds an unfair advantage in artificial intelligence because of its citizens’ willingness to easily give up personal data desired by tech companies. But a handful of people are surely getting more privacy-conscious.

This week, a Chinese law professor filed what looks like the country’s first lawsuit against the use of AI-powered face scans, according to Qianjiang Evening News, a local newspaper in the eastern province of Zhejiang. In dispute is the decision by a privately-owned zoo to impose mandatory facial recognition on admission control for all annual pass holders.

“I’ve always been conservative about gathering facial biometrics data. The collection and use of facial biometrics involve very uncertain security risks,” the professor told the paper, adding that he nonetheless would accept such requirement from the government for the purpose of “public interest.”

Both the government and businesses in China have aggressively embraced facial recognition in wide-ranging scenarios, be it to aid public security checks or speed up payments at supermarket checkouts. The technology will certainly draw more scrutiny from the public as it continues to spread. Already, the zoo case is garnering considerable attention. On Weibo, China’s equivalent of Twitter, posts about the suit have generated some 100 million views and 10,000 comments in less than a week. Many share the professors’ concerns over potential leaks and data abuse.

Scan and pay like a local

The other technology that has become ubiquitous in China is cashless payments. For many years, foreign visitors without a Chinese bank account have not been able to participate in the scan-and-pay craze that’s received extensive coverage in the west. But the fences are now down.

This week, two of the country’s largest payment systems announced almost at the same time that they are making it easier for foreigners to pay through their smartphones. Visitors can now pay at a selection of Chinese merchants after linking their overseas credit cards backed by Visa, MasterCard, American Express, Discover Global Network or JCB to Tencent’s WeChat Pay.

“This is to provide travelers, holding 2.6 billion Mastercard cards around the world, with the ability to make simple and smart payments anytime, anywhere in China,” Mastercard said in a company statement.

Alipay, Alibaba’s affiliate, now also allows foreign visitors to top up RMB onto a prepaid virtual card issued by Bank of Shanghai with their international credit or debit cards. The move is a boon to the large swathes of foreign tourists in China, which numbered 141 million in 2018.

Also worth your attention

Didi’s controversial carpooling service is finally back this week, more than a year after the feature was suspended following two murders of female passengers. But the company, which has become synonymous with ride-hailing, was immediately put in the hot seat again. The relaunched feature noticeably included a curfew on women, who are only able to carpool between 5 a.m. and 8 p.m. The public lambasted the decision as humiliating and discriminating against women, and Didi responded swiftly to extend the limit to both women and men. The murders were a huge backlash for the company, and it’s since tried to allay the concerns. At this point, the ride-hailing giant simply can’t afford another publicity debacle.

The government moves to stamp out monopolistic practices of some of China’s largest e-commerce platforms ahead of Single’s Day, the country’s busiest shopping festival. Merchants have traditionally been forced to be an exclusive supplier for one of these giants, but Beijing wants to put a stop to it and summoned Alibaba, JD.com, Pinduoduo (in Chinese) and other major retail players for talks on anti-competition this week.

Iqiyi, often hailed as the “Netflix of China,” reports widening net loss at $516.0 million in the third quarter ending September 30. The good news is it has added 25 million new subscribers to its video streaming platform. 99.2% of its 105.8 million user base are now paying members.

36Kr, one of China’s most prominent tech news sites, saw its shares tumble 10% in its Nasdaq debut on Friday. The company generates revenue from subscriptions, advertisements and enterprise “value-added” services. The last segment, according to its prospectus, is designed to “help established companies increase media exposure and brand awareness.”

09 Nov 2019

Can America ever rebuild its neighborhoods and communities?

We talk a lot about startup ecosystems around these parts, and for good reason. Strong ecosystems have great reservoirs of talent congregated close together, a culture built around helping one another on ambitious projects, and sufficient risk capital to ensure that interesting projects have the resources to get underway.

Strip off the ecosystem layer though, and you are left with the actual, physical manifestation of a city or region — its housing, its transportation and mobility options, and its infrastructure. And if Charles Marohn’s Strong Towns: A Bottom-Up Revolution to Rebuild American Prosperity is any indication, a whole heck of a swath of America has little hope of ever tapping into the modern knowledge economy or creating the kind of sustainable growth that builds “Strong Towns.”

Across the country, Marohn sees evidence of what he dubs a “Municipal Ponzi scheme.” Cities — armed with economic development dollars and consultants galore — focus their energies and budgets on new housing subdivisions as well as far-flung, auto-dependent office parks and strip malls, all the while ignoring the long-term debt, maintenance costs, and municipal burdens they are transferring to future generations of residents. “The growth creates an illusion of wealth, a broad, cultural misperception that the growing community is become [sic] stronger and more prosperous. Instead, with each new development, they become increasingly more insolvent,” the author writes.

He provides a multitude of examples, but few are as striking as that of Lafayette, Louisiana:

As one example, the city of Lafayette, Louisiana, had 5 feet of pipe per person in 1949. By 2015, that had grown to 50 feet, an increase of 1,000%. They had 2.4 fire hydrants per 1,000 people in 1949, but by 2015, they had 51.3. This is a 2,140% increase. Over the same period, median household income in Lafayette grew just 160% from an inflation-adjusted $27,700 to $45,000. And if national trends hold locally in Lafayette, which they almost certainly do, household savings decreased while personal debt skyrocketed. Lafayette grew its liabilities thousands of times over in service of a theory of national growth, yet its families are poorer.

The author contextualizes just how weird the modern American suburb and community is in the grand sweep of human history, where co-location, walkability, and human-scale density weren’t just norms, but necessities. The lack of thoughtful, dynamic planning that allows cities to adapt and evolve over time eventually comes to tear at the vitality of the town itself. “Only the richest country in the world could build so much and make such poor use of it.”

Marohn has spent decades in urban planning and also runs Strong Towns, a non-profit advocacy organization that tries to create more sustainable cities by attempting to guide the urban planning conversation toward better models of adaptable growth. He brings an authority to the topic that is heartening, and the book is absolutely on the right vector on how to start to think about urban planning going forward.

In addition to his discussions around municipal finance, he makes the critical connections between urban planning and some of the most pressing challenges facing America today. He notes how the disintegration of tight-knit communities has exacerbated issues like drug abuse and mental health, and how the focus on big-box retail development has undermined smaller-scale entrepreneurship.

Even more heartening in some ways is that the solutions are seemingly so easy. For example, one is to simply account for the true, long-term costs of infrastructure and economic development dollars, properly accounting for “value per acre.”

Yet, the flaws in the book are manifold, and I couldn’t help but shake my head on numerous occasions at the extent to which movements to improve urban planning always seem to shudder on the weight of reality.

Nowhere are those flaws more glaring than over the actual preferences of the residents of these cities themselves. As anyone who lives in San Francisco or Palo Alto understands, there is a serious contingent of NIMBYs who consistently vote against housing and density regardless of its effects on inequality or urban quality. Kim-Mai Cutler wrote one of the definitive pieces on this topic five years ago right here at TechCrunch, and yet, all these years later, the same dynamics still animates local politics in California and across the world.

The prescriptions offered in Strong Towns are not only correct, they are almost incontestable. “Instead of prioritizing maintenance based on condition or age, cities must prioritize based on financial productivity,” Marohn writes. Public dollars should be spent on the highest-impact maintenance projects. Who is really against that?

But, people are, as evidenced by city council meetings all across the United States and the simple ground truth that cities don’t spend their dollars wisely. Whether your issue is housing, or climate change, or economic development, or inequality, the reality is that residents vote, and their voices are heard. That leads to Marohn writing:

As a voter, as a property owner within a municipal corporation, as a person living cooperatively with my neighbors in a community, I can respect that some people prefer development styles that are financially ruinous to my city. My local government should not feel any obligation to provide those options, particularly at the price points people expect.

Yet, what should one do if 70-80% of a city’s voters literally want to jump off the proverbial cliff?

Ultimately, should cities be responsive to their own voters? If San Francisco refuses to build more transit-oriented development and in the process exacerbates the climate change literally setting the Bay Area on fire, shouldn’t the damn voters burn straight to the ground?

Marohn, who talks over several pages of his political evolution from Republican to complex libertarian communalist, never faithfully addresses this core problem with the Strong Towns thesis, or indeed, the entire activism around urban politics today. “American culture spends a lot of time debating what should be done, but hardly any time discussing who should make the decision,” he writes. But we do — we did — discuss who makes the decisions, and our political systems actively respond to those decision-makers: local voters.

American towns are in a perilous state – and that is precisely what people demanded and received. Marohn criticizes the planning profession for its lack of municipal sustainability, but seemingly is willing to substitute one group of far-flung experts with another to override the locals, presumably just with a different (better?) set of values.

In the final analysis, Strong Towns the book gets the fundamentals right. But will it change minds? I’m doubtful. It certainly doesn’t offer a clear guidebook on how local leaders can start to educate their neighbors and build the kinds of voter blocs required to get local, democratic change on these issues. Ultimately, the book feels like a smaller footnote to the worthy work of Strong Towns the organization, which ultimately will drive the activity needed to build change on these issues.

09 Nov 2019

Week in Review: Airbnb is just the beginning

Hey everyone. Thank you for welcoming me into you inbox yet again.

I got some awesome responses to the #DeleteLinkedIn newsletter last week, a few dozen emails (some of them angry) and plenty of tweets. Looking forward to chatting with some of you soon. On that note, I’m currently in China for a TechCrunch event that we’re having in Shenzhen and will be taking some time offline to travel a bit so I won’t be arriving in your inboxes the next two weeks. Week in Review will be back in your inboxes the weekend after Thanksgiving so you’ll have to savor this newsletter until then.

If you’re reading this on the TechCrunch site, you can get this in your inbox here, and follow my tweets here.


The big story

If there’s been a collective theme to some of the tech backlash of the past couple years, it’s been an evolving vision towards platform responsibility.

Social media platforms have earned the lion’s share of this discussion to date. This has largely been due to the political landscape and gripes with both liberals and conservatives for how the site handles content policing. The prevailing libertarian view that tech platforms weren’t responsible for what was enabled by their platforms has fallen out of vogue.

What continues to surprise me is how little accountability or expectations there still seems to be for marketplace platforms. Speech is a crucial part of the internet, but so is buying and selling and it shocks me how big some startups have been able to get without delivering some basic buyer protections.

http://www.twitter.com/lucasmtny/1190027153099952128?s=20

Through some great investigations from the Wall Street Journal, we’ve seen how fast and loose Amazon has been playing with third-party sellers getting free reign on the site. There have been countless stories of scammers infiltrating sites like Airbnb and eBay and operating in grey areas that allow them to rip off buyers. Last week, a reporter at Vice delivered a scathing deep dive into a scam she fell victim to on Airbnb’s platform.

This week, Airbnb announced that by next year they are pledging to verify all of their listings, something that seems more than a little overdue. Standing behind the properties being booked on their platform was seemingly the last box to check before driving to the IPO hoop.

More from our story:

Airbnb  properties will soon be verified for accuracy of photos, addresses, listing details, cleanliness, safety and basic home amenities, according to a company-wide email sent by Airbnb co-founder and chief executive officer Brian Chesky on Wednesday.

Airbnb is just another highly valued startup that has been trying to take the past of least resistance to outsized future value. Verifying properties is a difficult issue to brace. Sellers are certainly not the only scammers on Airbnb, and buyers abusing this new system is a guarantee. But keeping both sides in some sort of satisfaction equilibrium is Airbnb’s messy, god-given task.

Airbnb has garnered more grumblings than most due to bad customer experiences, but it’s just a harbinger of what comes next. 2020 being a presidential election year in the U.S. means that the public might still be too busy with lambasting Zuckerberg to give marketplaces their due watchful eye in the near term, but the bell is tolling for these marketplaces and it’d be wise for them to pay attention to the writing on the wall.

Send me feedback
on Twitter @lucasmtny or email
lucas@techcrunch.com

On to the rest of the week’s news.

GettyImages 1005682070 1

(Photo by Justin Sullivan/Getty Images)

Trends of the week

Here are a few big news items from big companies, with green links to all the sweet, sweet added context:

  • Twitter’s Saudi Arabian infiltration
    One of the wilder stories this week was how Saudi Arabia reportedly lifted sensitive contact info from Twitter via employees at the company that they paid off. There’s a lot in this saga and while Twitter seems to have done most things right, it is a pretty nightmarish scenario.
  • T-Mobile and Sprint get hitched
    The telecom marriage of two of the United States top four carriers cleared its last major hurdle as the FCC gave the deal its blessing. There’s still some residual legal hurdles for the two to wrap up in good faith, but this deal is done.
  • Adobe makes good on a promise
    The promises of tablet computing have always been a little ambitious in terms of timing, but Photoshop is finally arriving on the iPad and with that, one decade-long wish list item has been realized.

GAFA Gaffes

How did the top tech companies screw up this week? This clearly needs its own section, in order of badness:

  1. California isn’t happy with Zuckerberg:
    [California accuses Facebook of ignoring subpoenas in state’s Cambridge Analytica investigation]
  2. Google’s board is investigating some executive impropriety:
    [Alphabet’s board is investigating execs over claims of sexual harassment and other misconduct]

Disrupt Berlin

DISRUPT SF 530X350 V2 berlin

It’s hard to believe it’s already that time of the year again, but we just announced the agenda for Disrupt Berlin and we’ve got some all-stars making their way to the stage. I’ll be there this year, get some tickets and come say hey!

Sign up for more newsletters in your inbox (including this one) here.

09 Nov 2019

A browser bug was enough to hack an Amazon Echo

Two security researchers have been crowned the top hackers in this year’s Pwn2Own hacking contest after developing and testing several high profile exploits, including an attack against an Amazon Echo.

Amat Cama and Richard Zhu, who make up Team Fluoroacetate, scored $60,000 in bug bounties for their integer overflow exploit against the latest Amazon Echo Show 5, an Alexa-powered smart display.

The researchers found that the device uses an older version of Chromium, Google’s open-source browser projects, which had been forked some time during its development. The bug allowed them to take “full control” of the device if connected to a malicious Wi-Fi hotspot, said Brian Gorenc, director of Trend Micro’s Zero Day Initiative, which put on the Pwn2Own contest.

The researchers tested their exploits in a radio-frequency shielding enclosure to prevent any outside interference.

“This patch gap was a common factor in many of the IoT devices compromised during the contest,” Gorenc told TechCrunch.

Amat Cama (left) and Richard Zhu (right), who make up Team Fluoroacetate. (Image: ZDI)

An integer overflow bug happens when a mathematical operation tries to create a number but has no space for it in its memory, causing the number to overflow outside of its allotted memory. That can have security implications for the device.

When reached, Amazon said it was “investigating this research and will be taking appropriate steps to protect our devices based on our investigation,” but did not say what measures it would take to fix the vulnerabilities — or when.

The Echo wasn’t the only internet-connected device at the show. Earlier this year the contest said hackers would have an opportunity to hack into a Facebook Portal, the social media giant’s video calling-enabled smart display. The hackers, however, could not exploit the Portal.

09 Nov 2019

Original Content podcast: Apple’s star-studded ‘Morning Show’ gets off to a bumpy-but-promising start

We weren’t sure what to expect from the launch of Apple’s new subscription streaming service. There were reports that the company was committed to staying family friendly, rather than exploring the adult content and creative liberties that both premium cable and streaming can offer. Plus, most of the trailers were pretty underwhelming.

For our 100th (!) episode, your regular Original Content podcast hosts are joined by TechCrunch writer Sarah Perez to discuss all the Apple TV+ shows we’ve sampled so far — “For All Mankind,” “See,” “Dickinson” and even “Snoopy in Space.” And we were pleasantly surprised by what we found.

Just a few episodes in, “For All Mankind” (an alternate history in which the Soviet Union won the race to the moon) and “See” (set in a world where everyone has lost the sense of sight) have turned some of us into fans. And even “Dickinson” — which has the seemingly impossible task of telling Emily Dickinson’s story using modern slang— turns out to be a strange and watchable experiment.

We save our most extensive discussion for the most high-profile title of the bunch: “The Morning Show,” which stars Jennifer Aniston as Alex Levy, longtime host of an AM news show also called “The Morning Show,” and Reese Witherspoon as local news anchor Bradley Jackson, whose confrontation at a coal mine protest ends up going viral right as Alex’s show implodes, thanks to sexual misconduct allegations against her longtime co-host Matt Kessler (played Steve Carell).

Obviously, the show has star power, and the leads are supported by talented and familiar faces like Billy Crudup, Mark Duplass and Gugu Mbatha-Raw.

The performances are all strong, with Aniston and Witherspoon carrying the show: Aniston convincingly portrays a woman who’s both devastated by the revelations of her on-screen partner’s behavior and desperate to seize the opportunity that these revelations create. Witherspoon, meanwhile, adds complex shading to perhaps her trademark role as a spunky, ambitious upstart.

The writing, on the other hand, is a bit uneven. There’s an unfortunate tendency towards speechifying about big themes like The Role of Journalism in America — at times, it feels almost Sorkin-esque, but without the eloquence or snappiness of Aaron Sorkin’s best dialogue.

So far, though, the speeches have been balanced out by strong characterization and some satisfyingly dramatic twists.

You can listen in the player below, subscribe using Apple Podcasts or find us in your podcast player of choice. If you like the show, please let us know by leaving a review on Apple. You can also send us feedback directly. (Or suggest shows and movies for us to review!)

And if you want to skip ahead, here’s how the episode breaks down:
0:00 Intro
0:30 Apple TV+ roundup
27:02 “The Morning Show” review (spoiler-free)

09 Nov 2019

Original Content podcast: Apple’s star-studded ‘Morning Show’ gets off to a bumpy-but-promising start

We weren’t sure what to expect from the launch of Apple’s new subscription streaming service. There were reports that the company was committed to staying family friendly, rather than exploring the adult content and creative liberties that both premium cable and streaming can offer. Plus, most of the trailers were pretty underwhelming.

For our 100th (!) episode, your regular Original Content podcast hosts are joined by TechCrunch writer Sarah Perez to discuss all the Apple TV+ shows we’ve sampled so far — “For All Mankind,” “See,” “Dickinson” and even “Snoopy in Space.” And we were pleasantly surprised by what we found.

Just a few episodes in, “For All Mankind” (an alternate history in which the Soviet Union won the race to the moon) and “See” (set in a world where everyone has lost the sense of sight) have turned some of us into fans. And even “Dickinson” — which has the seemingly impossible task of telling Emily Dickinson’s story using modern slang— turns out to be a strange and watchable experiment.

We save our most extensive discussion for the most high-profile title of the bunch: “The Morning Show,” which stars Jennifer Aniston as Alex Levy, longtime host of an AM news show also called “The Morning Show,” and Reese Witherspoon as local news anchor Bradley Jackson, whose confrontation at a coal mine protest ends up going viral right as Alex’s show implodes, thanks to sexual misconduct allegations against her longtime co-host Matt Kessler (played Steve Carell).

Obviously, the show has star power, and the leads are supported by talented and familiar faces like Billy Crudup, Mark Duplass and Gugu Mbatha-Raw.

The performances are all strong, with Aniston and Witherspoon carrying the show: Aniston convincingly portrays a woman who’s both devastated by the revelations of her on-screen partner’s behavior and desperate to seize the opportunity that these revelations create. Witherspoon, meanwhile, adds complex shading to perhaps her trademark role as a spunky, ambitious upstart.

The writing, on the other hand, is a bit uneven. There’s an unfortunate tendency towards speechifying about big themes like The Role of Journalism in America — at times, it feels almost Sorkin-esque, but without the eloquence or snappiness of Aaron Sorkin’s best dialogue.

So far, though, the speeches have been balanced out by strong characterization and some satisfyingly dramatic twists.

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And if you want to skip ahead, here’s how the episode breaks down:
0:00 Intro
0:30 Apple TV+ roundup
27:02 “The Morning Show” review (spoiler-free)