Apple orders a 10-episode mystery series inspired by kid reporter Hilde Lysiak

Apple is continuing to flesh out its lineup of TV series for its upcoming streaming service and Netflix competitor, assumed to be offered sometime next year as part of a subscription bundle with Apple Music. The companylatest addition is a dramatic mystery series, currently known as the untitled Hilde Lysiak project. The show is inspired by the real-life story of the 11-year-old investigative reporter who scooped local news outlets by being the first to expose a murder in her hometown ofSelinsgrove, PA.

Lysiak may not be a household name, but her story is impressive.

The Columbia Journalism Review profiled her online news operation,Orange Street News, in a story titled, &Is this 8-year-oldnewspaper better than yours&

The young reporter is not a hobbyist at her chosen profession — she attends town meetings, she covers neighborhood crime without police cooperation, and she shows up on the scene of breaking news, the article explains.

She also beat the local daily paper in being the first to cover a murder in the area when she was only 9 years old. When criticized by Facebook commenters (aren&t they lovely) for being a kid covering graphic news like this before all the facts were in, she fought back.

&I just like letting people know all the information,& the reporter said.

&Because of my work, I was able to inform the people that therea terrible murder hours before my competition even got to the scene. In fact, some of these adult-read newspapers were reporting the wrong news or no news at all,& she explained in a YouTube video.

As to how she got the scoop, Lysiak said, &I got a good tip from a source and I was able to confirm it.&

Her site today continues to feature a number of crime reports, included break-ins, drugs, abuse, assaults and more, alongside stories of local interest, like the gas smell that shut down Orange Street, for example.

Clearly, Lysiakwork is great fodder for a feel-good show about smart and ambitious kids, but italso one of increased importance in an era where journalism itself is under attack.

Apple has givena straight-to-series order to the untitled Hilde Lysiak project, which will have 10 episodes in its debut season.

The series is produced byAnonymous Content and Paramount Television, is created and executive produced by Dana Fox (How To Be Single and Ben and Kate) and Dara Resnik (Daredevil), along with executive producers Joy Gorman Wettels (13 Reasons Why) and Sharlene Martin (Smallville). Jon M. Chu (Crazy Rich Asians, Now You See Me 2) will direct and executive produce.

The show will begin by following a young girl who moves from Brooklyn to the small lakeside down her father had left behind. The protagonist will then work to unveil the truth regarding a cold case that everyone in town, father included, has tried to bury.

Hence the &inspired by& label — in real life, Lysiakfather didn&t try to bury the truth.

In fact, he inspired her pursuit of chasing stories by taking her with him to the newsroom of the New York Daily News, where he had worked as a journalist himself.

The show will join a varied lineup at Apple, which now includesa reboot of Steven SpielbergAmazing Stories, a Reese Witherspoon- and Jennifer Anniston-starring series set in the world of morning TV,an adaptation of Isaac AsimovFoundation books,a thriller starring Octavia Spencer,a Kristen Wiig-ledcomedy,a Kevin Durant-inspiredscripted basketball show, adocumentaryaboutextraordinaryhomes, aseriesfrom &La La Land&s& director and a series about Emily Dickinson, among others.

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Docker aims to federate container management across clouds

When Docker burst on the scene in 2013, it brought the idea of containers to a broad audience. Since then Kubernetes has emerged as a way to orchestrate the delivery of those containerized apps, but Docker saw a gap that wasn&t being addressed beyond pure container deployment that they are trying to address with the next release of Docker Enterprise Edition. Docker made the announcement today at DockerCon in San Francisco.

Scott Johnston, chief product officer at Docker says that Docker Enterprise Editionnew federated application management feature helps operations manage multiple clusters, whether those clusters are on premise, in the cloud or across different public cloud providers. This allows federated management of application wherever they live and supports managed Kubernetes tools from the big three public cloud providers including Azure AKS, AWS EKS and Google GKE.

Johnston says that deploying the containers is just the first part of the problem. There is a whole set of issues to deal with outside of Kubernetes (and other orchestration tools) once your application begins being deployed. &So, you know, you get portability of containers with the Docker format and the Kubernetes or Compose description files, but once you land on an environment, that environment has deployment scripts, security models, user management and [so forth]. So while the app is portable, the management of these applications is not,& he explained.

He says that can lead to a set of separate deployment tools creating a new level of complexity that using containers was supposed to eliminate. This is especially true when deploying across multiple clouds (and on prem sometimes too). If you need load balancing, security, testing and so forth — the kinds of tasks the operations team has to undertake — and you want to apply these in a consistent way regardless of the environment, Johnston says that Docker EE should help by creating a single place to manage across environments and achieve that cloud native goal of managing all your applications and data and infrastructure in a unified way.

In addition to the federated management component, Docker also announced Windows Server containers on Kubernetes for Docker Enterprise Edition. It had previously announced support for Linux containers last year.

Finally, the company is introducing a template-based approach to Docker deployment to enable people in the organization with a bit less technical sophistication to deploy from a guided graphical process instead of a command line interface.

The federated application management is available in Beta starting the second half of this year, support for Windows Server Containers will be included in the next release of Docker Enterprise Edition later this year and Templates will be available in Docker Desktop in Beta later this year.

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Index Ventures — a firm with investments in companies like recent IPO Dropbox, a series of successful gaming companies like King, and others including Slack and coming IPO Zuora — has seen a lot of moves in the past few months.

There was thedeparture of partner Ilya Fushman earlier this year, but the firm also brought on Sarah Cannon from CapitalG as one of their recent big hires. Index has also promoted former Dropboxer Mark Goldberg to partner. Prior to joining Index, Cannon led investments in companies like Looker, MultiPlan, Oscar and Care.com. Cannon will primarily be focusing on growth stage, and is also now a board observer for Slack. Goldberg has been at the firm for around three years and worked on deals like Nova Credit and CoverWallet.

We sat down with the two new partners to discuss some of their plans, as well as some broader parts of the venture ecosystem. Herethe interview, which has been lightly edited for clarity.

TC: What does the investment committee decision process look like these days

Mark Goldberg: In the last stage, we have a partner presentation, where the entrepreneur presents and we debrief. Then ita vote at the partner level. Everyone votes 1-10, and if itover 7 itapproved. If itbetween 5 and 7, itthe sponsor discretion. On average itaround in the seven range. Some partners always rank lower, their most enthusiastic is at 8.It ends up being a pretty intellectually honest discussion, every vote is the same. I&ve worked at other funds before, and it seems like it becomes more of horse trading. This feels like a constructive debate, we operate as one team. Italso 6:30 a.m. pacific on Mondays, so therethat.

TC: When working with entrepreneurs, how do you keep them moving forward — especially when some seem allergic to product changes

Goldberg:I speak more to my background to being an early business hire at Dropbox, but itstaying focused don the end user and building something people actually want to use. Regardless the paradigm, [we ask], are you building a product where at the end of the day is the end customer happy user.

Sarah Cannon: In the board room so much of where we can help is focus. My role is not making decisions but helping the management team align on priorities and sharing an example from a company they respect.It is often most helpful to connect them to another portfolio company. At CapitalG, we were investors in Lyft and Stripe, and a lot of learning would be between those companies. We would say, let me connect you to the head of product at Lyft. After that coffee, the priorities have been reduced to just a few.

TC: Whatthe filter for companies

Goldberg: First off, the [series] A is where we&re really focused. I think historically Index had really built a brand in Europe. King, SuperCell, Skype, and others.When we set up the team in the U.S., we ended up getting pushed into more series B. We would have loved to see the Series A on many of these companies, but we were new it was harder to proactively get to these great deals at the earlier stage. So we&re pushing earlier into that Series A. Maybe 7 of the last 10 deals have been [series] A for us. The challenge is, how do we find these great founding teams and category winners at that stage. Despite the valuations, we want you to hit those check boxes.

Cannon: As you move later stage, itmuch more on the unit economics. Thatpart one — really understanding the unit economics, how big of a business can this actually be. The market could be really large, but whatthe size of the prize. Those are the two things I focus on. Iteasy to look at the unit economics. There are exceptions to the rule, like Amazon, where the margins didn&t look good along the way… Traditionally these companies haven&t made money, and thathow you miss really exceptional businesses. They are transformative businesses. Thatreally how I&ve shifted my way of thinking.

For consumer companies, I think of that has to be massive user traction and if you&re seeing wild adoption or a differentiated technology.

TC: How do you think about the state of how we talk about mental health in Silicon Valley right now How do you help your founders in this respect

Goldberg: I think being a founder is an extremely lonely job. I think one of the things that a strong venture partner can do is be a really good sounding board. The emotional fluctuations in these businesses are extreme. A founder has to be, even if they&re resilient and have a lot of grit, they&re absolutely going to feel the highs and lows. If you talk about what makes a venture fund and partner valuable, itthe ability to damper some of that volatility by being available. If someone calls me on a Saturday night, i&m picking up the phone and being present and having that perspective. If you&re doing this job well, you can help the entrepreneur feel less lonely.

Cannon: [Part of it is] regulating on both the highs and the lows. You&ve had the benefit of working with a lot of companies. You can say, this is a great moment, celebrate, but itnot like we&re going public tomorrow. In the lows, you remind them of the good times, you&re modulating to the middle and giving some perspective.. Itimportant to step in as an investor, and to say, ‘ok, this was a scary moment but this is why I have conviction in your business.&

Ita topic thata lot of shame. Itvery much like an artist, therean individual genius creator but therea dark side. Therea very known perspective in the founder world. I hope we have a few brave founders who come out and say, look, I really struggled, herehow I managed to deal with it.

TC: How have things changed given the shift in the venture landscape, such as with mega-funds like Softbank

Goldberg: We see it as a good thing, for us itadditional optionality for a lot of our portfolio companies. Before SoftBank a lot of times your option is [just going public]. Softbank is not the only one, thereSequoia growth, therea lot of money sloshing around the late stage. Itbeen a boon for our companies — we&re generally playing at a stage before we&d be competitive [with that].

Cannon: For the later stage, itabsolutely changing the return profile. To Softbankcredit, ita brilliant strategy, itlike an index on the private markets.

TC: How do you differentiate between founders for companies you invest in

Cannon:For me, the adjustment [to earlier stage] has been a couple things, like adjusting your risk reward. You&re taking a lot greater risk. Iteasier to rely on cohort data, thinking that I&ve seen this for three years. [At earlier stages] itless data, and you&re taking more risk, you need to spend more time about thinking about the team. You need to believe that founder is capable of bringing on that high quality team. To move earlier stage, you have to have a lot more conviction. In later stages you have a bunch of investors already at the cap table.

Goldberg: I think itabsolutely critical that the market is multistage. We&re stage agnostic and expertise driven. We&ll see a company at the series A or series B, and we get to know the founding team. We don&t wait for the round to form, we preempt it, and if we don&t do the deal we have a relationship going forward.

Cannon: [I also think it&s] very specific to the business. If itan IT infrastructure startup, the person needs to be highly technical people. It maps to the business. Do they know their own strengths and weaknesses, do they know the strengths and weaknesses of their existing members.

TC: How do you think about diversity going forward

Cannon: The major focus is how do I address this challenge. The numbers speak for themselves in terms of diversity of all types. A lot of founders aren&t happy with where they are, we think about what specifically can we do about it. Thatwhere we&ve been having a lot of discussions — how are you giving fair reviews, how do you make sure your compensation is the same. Therealways the question about funnel and how do I see different candidates. My view on that is we should do a much better job in venture and companies in screening for the specific attributes you need in the job. We want to push people, rather than going to pools that are easy, such as just to banking, and say the attributes important to an investor is high emotional intelligence, analytical thinking, and such. They don&t necessarily come from the same people.

Goldberg: Whatchanged is it is now a board-level conversation. At the last 4-5 meetings, this is now a topic on par with the KPIs of the business. That didn&t used to exist. I agree with the tactical points, we can do a better job with diversity, we&re having those conversations..

TC: What about applications of ideas like the Rooney Rule

Cannon: I think thatexactly the tactical thing. People are just begging for an idea, something I can commit to changing my funnel. Changing my process to be more fair, founders I think are very more open to it.

TC: How do you manage expectations with your base of LPs, especially as the time threshold between an IPO and the founding stretches

Goldberg: I think we&re fortunate that as a fund culture and with the LP base, we&re afforded the ability to make a long term view. While the timeline is stretching, we don&t feel pressure. To the extent the companies continue to build value, the returns are gonna look good enough. We have not felt the urgency to try and realize gains faster, and part of that is our broader philosophy and ethos around investing. We&re here to support the entrepreneurs, and I don&t want to be prescriptive in an exit.

I think we need to be thoughtful when we take a secondary investment. Doing large secondaries in early companies can be detrimental. When we&re looking at rounds where secondaries are available we ask about proceeds being distributed, we want to know [if itjust certain executives or for the whole team].

Cannon: You do want to think about the employees who have made significant contributions. In a market where companies are staying private much longer, for the employees, I do want us to find a way to have some liquidity. The key is how you structure it. You could buy a house, but you don&t need a mansion.

Goldberg: What I don&t like is when founders or a select set of executives are able to take money. As long as itequitably done in a way, like 10% to 15% liquidity being offered for employees.

TC: What are some learnings you&ve picked up from whathappening in China

Cannon: We are not currently investing in China, but I want to learn form China and see what insights we can get from businesses there and how they will be different in the US. If you look at live video, a lot fo companies have taken off there. The social e-commerce business, mid-messaging, how does that change with transactions.

Goldberg: On the fintech side, italmost like the world has inverted, I used to do a lot of cleantech where we were worried China would copy the IP. In fintech, the most innovative companies are coming out of China. If you look at digital payments in China versus the west, they were already way ahead of the curve, and now iteven more so. It really is, for us, about learning whataround the future. We&re pushing ourselves.

TC: The majority of that is owned by a few platforms like WeChat or Alipay. Is that a good thing

Goldberg:Some of these platforms are becoming monolithic conglomerates at this point. My broader thesis in this point is, we&re gonna see a new set of companies and winners from the last few years that are gonna re-bundle the rest of the feature rich companies into larger platforms. They&re building massive user bases with extreme engagements. You imagine what else can you cross-sell once you have that engagement and brand affinity. We&re gonna see massive category winners of the next digital bank in the US.

TC: How are you thinking about ICOs

Goldberg: We&re watching them opportunistically. I think crypto and blockchain have gotten a huge amount of airtime in the press, to me itdistracting for financial services. The incumbents are absolutely vulnerable in a way they&ve never been before. We&re seeing huge success..

Cannon: We&re very expertise driven. The two areas are really around blockchain and AI. We just had a presentation we call Monday musings — we&ve had them on gaming, bitcoin, and crypto in general — thatan area where we&re actively trying to build our knowledge set. I think therea lot of interest and the timing is of vigorous debate.

One of the challenges is to be an effective unit of economic transaction without the regulatory infrastructure like know your customer. As long as we have nation states we certainly will not see all transactions on blockchain. Regulators will have a way to regulate these transactions since at some point you are going to have to transfer your bitcoin into dollars or some other currency at some point.

Goldberg: I have had a challenge to find a [high-potential] Dapp. (Dapp is short for decentralized app)

TC: Where are you finding these new areas of talent

Goldberg: I haven&t found a magic bullet. Itan aggressive push to reach a diverse set of channels of sourcing.

Cannon: [Companies have big pools of strong candidates], the challenge early stage is itharder to find out about those companies. At the beginning ithard for people that aren&t as well networked. Whata role that a large company has a big pool, how can they help them connect. I think about how to do that in a scalable way.The innovation that Google really did have is doing interviews. Rather than saying we&re gonna get people from top schools, we&re gonna have a test that tests for the engineering skills for this job. If you can prove you have these specific skills, I think thata great way. You get people who have the skillsets.

TC: What are you looking for in startups that say they specifically focus on machine learning

Sarah: The way I thought about investing in AI is three buckets. One was on the generalized AI, and what would replace a human. Thata lot of science and a lot of risk in the very early stage.The second bucket is vertical AI where I think health care and financial services are most interesting. The third bucket is what I call machine learning for everybody else or democratizing access to ML. Google and Facebook can afford to hire data scientists of incredible caliber, but most companies can&t. Therean interesting company to be built sharing standard ‘algorithms as a service& with those companies.

On the vertical side, a lot of is is tech constraints. I&d love to get into contracts, but [you have to] think about whatpossible — what you can do with a camera, where we are with machine vision and the applications of that with an immediate business context. [We look at] how many engineers and data scientists you have, what are the top 5 applications of your technology. You&ll very quickly find they&re doing something that could be automated quickly.

Goldberg: 99% of the pitches that I hear across industries talk about machine lerning. Itbecome so ubiquitous as italmost meaningless, or itas horizontal as big data. What I look for is proprietary data. What is really critical is itnot just algorithms but your ability to train a model faster than anyone else and in a way thatmore unique. You have access to some data pool, and the data is ultimately what sets it apart. For the vast majority, ita buzzword that they think will increase the valuation. A way to test that is to look at the technical DNA in the team. To me thata lot of suss out is this really machine learning, or is this empty words on a page.

TC: What are the verticals you focus on right now

Goldberg: There are massive segments of the economy coming online right now. Agriculture, construction, logistics, we look at where the data has been locked up in offline form like on paper or excel. As software brings it online, a lot of those industries are ripe for machine learning.

Cannon: I am focused on consumer and the consumerization of the enterprise. On the consumer side I cover marketplaces, millennial purchasing behaviors and what we can learn from China. On the consumerization of enterprise side I&m focused on productivity, particularly tools used across business units.

TC: What signals are you looking for in consumer startups

Cannon: I always think chance favors the prepared mind. I do want to do thesis work in consumer, and think about areas where I see patterns. When I see the monthly active users data, [I ask], does it conform to the world. Millenials have contrarian thinking, one thing that stood out when the Robinhood founders talk, was that millenials didn&t want to pay an upfront fee. I wonder if there are other models they&re resistant to. Maybe they don&t want to be monetized by ads, and are there businesses that could evolve based on that view.

Update:Cannon reached out to clarify a few things from the interview, which we&ve sprinkled some updates throughout.

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A third party audit of a controversial patient data-sharing arrangement between a London NHS Trust and Google DeepMind appears to have skirted over the core issues that generated the controversy in the first place.

The audit (full report here) — conducted by law firmLinklaters — of the Royal FreeNHSFoundation Trustacute kidney injury detection app system, Streams, which was co-developed with Google-DeepMind (using an existing NHS algorithm for early detection of the condition), does not examine the problematic 2015 information-sharing agreement inked between the pair which allowed data to start flowing.

&This Report contains an assessment of the data protection and confidentiality issues associated with the data protection arrangements between the Royal Free and DeepMind . It is limited to the current use of Streams, and any further development, functional testing or clinical testing, that is either planned or in progress. It is not a historical review,& writes Linklaters, adding that: &It includes consideration as to whether the transparency, fair processing, proportionality and information sharing concerns outlined in the Undertakings are being met.&

Yet it was the original 2015 contract that triggered the controversy, after it was obtained and published by New Scientist, with the wide-ranging documentraising questions over the broad scope of the data transfer; the legal bases for patients information to be shared; and leading to questions over whether regulatory processes intended to safeguard patients and patient data had been sidelinedby the two main parties involved in the project.

InNovember 2016the pair scrapped and replaced the initial five-year contract with a different one — which put in place additional information governance steps.

They also went on to roll out the Streams app for use on patients in multiple NHS hospitals— despite the UKdata protection regulator, the ICO, having instigated an investigation into the original data-sharing arrangement.

And just over a year agothe ICO concluded that the Royal FreeNHSFoundation Trust had failed to comply with Data Protection Law in its dealings with GoogleDeepMind.

The audit of the Streams project was a requirement of the ICO.

Though, notably, the regulator has not endorsed Linklaters report. On the contrary, it warns that itseeking legal advice and could take further action.

In a statementon its website, the ICOdeputy commissioner for policy, Steve Wood, writes: &We cannot endorse a report from a third party audit but we have provided feedback to the Royal Free. We also reserve our position in relation to their position on medical confidentiality and the equitable duty of confidence. We are seeking legal advice on this issue and may require further action.&

In a section of the report listing exclusions, Linklaters confirms the audit does not consider: &The data protection and confidentiality issues associated with the processing of personal data about the clinicians at the Royal Free using the Streams App.&

So essentially the core controversy, related to the legal basis for the Royal Free to pass personally identifiable information on 1.6M patients to DeepMind when the app was being developed, and without peopleknowledge or consent, is going unaddressed here.

And Woodstatement pointedly reiterates that the ICOinvestigation &found a number of shortcomings in the way patient records were shared for this trial&.

&[P]art of the undertaking committed Royal Free to commission a third party audit. They have now done this and shared the results with the ICO. Whatimportant now is that they use the findings to address the compliance issues addressed in the audit swiftly and robustly. We&ll be continuing to liaise with them in the coming months to ensure this is happening,& he adds.

&Itimportant that other NHS Trusts considering using similar new technologies pay regard to therecommendations we gave to Royal Free, and ensure data protection risks are fully addressed using a Data Protection Impact Assessment before deployment.&

While the report is something of a frustration, given the glaring historical omissions, it does raise some points of interest — including suggesting that the Royal Free should probably scrap a Memorandum of Understanding it also inked with DeepMind, in which the pair set out their ambition to apply AI to NHS data.

This is recommended because the pair have apparently abandoned their AI research plans.

On this Linklaters writes: &DeepMind has informed us that they have abandoned their potential research project into the use of AI to develop better algorithms, and their processing is limited to execution of the NHS AKI algorithm… In addition, the majority of the provisions in the Memorandum of Understanding are non-binding. The limited provisions that are binding are superseded by the Services Agreement and the Information Processing Agreement discussed above, hence we think the Memorandum of Understanding has very limited relevance to Streams. We recommend that the Royal Free considers if the Memorandum of Understanding continues to be relevant to its relationship with DeepMind and, if it is not relevant, terminates that agreement.&

In another section, discussing the NHS algorithm that underpins the Streams app, the law firm also points out that DeepMindrole in the project is little more than helping provide a glorified app wrapper (on the app design front the project also utilized UK app studio, ustwo, so DeepMind can&t claim app design credit either).

&Without intending any disrespect to DeepMind, we do not think the concepts underpinning Streams are particularly ground-breaking. It does not, by any measure, involve artificial intelligence or machine learning or other advanced technology. The benefits of the Streams App instead come from a very well-designed and user-friendly interface, backed up by solid infrastructure and data management that provides AKI alerts and contextual clinical information in a reliable, timely and secure manner,& Linklaters writes.

What DeepMind did bring to the project, and to itsother NHS collaborations, is money and resources — providing its development resources free for the NHS at the point of use, and stating (when asked about its business model) that it would determine how much to charge the NHS for these app ‘innovations& later.

Yet the commercial services the tech giantis providing to what are public sector organizations do not appear to have been put out to open tender.

Also notably excluded in the Linklaters& audit: Any scrutiny of the project vis-a-vis competition law, public procurement law compliance with procurement rules, and any concerns relating to possible anticompetitive behavior.

The report does highlight one potentially problematic data retention issue for the current deployment of Streams, saying there is ¤tly no retention period for patient information on Streams& — meaning there is no process for deleting a patientmedical history once it reaches a certain age.

&This means the information on Streams currently dates back eight years,& it notes,suggesting the Royal Free should probably set an upper age limit on the age of information contained in the system.

While Linklaters largely glosses over the chequered origins of the Streams project, the law firm does make a point of agreeing with the ICO that the original privacy impact assessment for the project &should have been completed in a more timely manner&.

It also describes it as &relatively thin given the scale of the project&.

Giving its response to the audit, health data privacy advocacy group MedConfidential — an early critic of the DeepMind data-sharing arrangement — is roundly unimpressed, writing: &The biggest question raised by the Information Commissioner and the National Data Guardian appears to be missing — instead, the report excludes a &historical review of issues arising prior to the date of our appointment&.

&The report claims the ‘vital interests& (i.e. remaining alive) of patients is justification to protect against an &event [that] might only occur in the future or not occur at all&… The only ‘vital interest& protected here is Google&s, and its desire to hoard medical records it was told were unlawfully collected. The vital interests of ahypotheticalpatient are not vital interests of an actual data subject (and the GDPR tests are demonstrably unmet).

&The ICO and NDG asked the Royal Free to justify the collection of 1.6 million patient records, and this legal opinion explicitly provides no answer to that question.&

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If you&ve tried selling your old smartphone on a refurbishment website, chances are you ended up with a dozen browser tabs comparing prices. French startup Back Market is taking advantage of this fragmented industry to create a marketplace and aggregate all refurbishers on a single online platform.

The startup just raised $48 million (€41 million). Groupe Arnault, Eurazeo, Aglaé Ventures and Daphni participated in todayfunding round.

Back in May, the company told me that it was working with over 270 factories. Back Market has generated over $110 million in gross merchandise volume over the past three years. The service is now live in France, Germany, Spain, Belgium and Italy. The company just expanded to the U.S.

&Before, refurbishment was just a thing for tech savvy people and tech bloggers,& co-founder and chief creative officer Vianney Vaute told me. &With Back Market, it becomes a mainstream alternative.&

Working with multiple factories is also a competitive advantage when it comes to pricing, fail rate and quality assurance. Back Market has an overview on the industry and can choose to work with some partners and leave underperforming ones behind. The startup needs to build a brand that consumers can trust.

While smartphones and laptops are the most prominent products on the homepage, Back Market also accepts game consoles, TVs, headphones, coffee machines and more. Back Market also sells Apple products refurbished by Apple itself.

Now that smartphones have become a mature market, many customers aren&t looking for new and shiny devices. Some customers can be perfectly happy with a phone that was released last year or two years ago. It represents an opportunity for Back Market and the refurbishment industry as a whole.

Back Market raises $48 million for its refurbished device marketplace

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The chronological news feed has been a bit of a looming specter for Twitter . Sure, ittheir bread-and-butter, but it only works for users who are willing to put in the time to prune their own feeds and strip away follows while constantly keeping an eye out for new accounts.For Twitter, a major challenge is discovering how they can update the experience for casual users who follow a few accounts but haven&t gotten deep into the discovery phase yet.

Twitterefforts to double-down on surfacing live events coverage and catering to users& specific areas of interest have been an evolving mission for the company, but today, they are announcing some of their boldest moves yet to change how the app grows to understand a user base on their interactions.

Twitter is making some major updates to the Explore feed, which will now surface curated pages dedicated to news stories surrounding breaking news, live events and stories in a way that will drive a closer fit to individual users& interests and help them find more of whathappening across the site. Some of these changes will also be popping up at the top of user home timelines in a bid to draw users down exploratory rabbit holes that expose them to new accounts and new communities.

Twitter wants to inject live events into every area of the app

Theregoing to be a big mix of what is being curated by humans and algorithms as the company looks to marry the editorial voice it has built up in Moments with its human curation team with a highly targeted algorithm that can find interests and grab the latest tweets that meet them. Itall about striking a balance and understanding the limits of curation in each situation, the company tells me.

&We wouldn&t, for example, set a human on the task of trying to identify all of the relevant live conversations coming out in real time in a particular situation so thatwhere algorithmic curation comes in,& TwitterDirector of CurationJoanna Geary told TechCrunch.

For Twitter, ita logical evolution of Moments, which were introduced in 2015 to drive conversations and curate stories from the Twitterverse.

Now, for something like a breaking news story, you&ll be able to find some of the most important tweets that have really driven the story alongside a tab to explore what is coming in live. The company will be testing a topic feed dedicated to the 2018 World Cup that will organize scores, plug in live video and integrate photos and reaction in a way curated by man and machine.

Twitter has been exploring the promises of the algorithmic feed for quite some time, but itopted to push most of these minor updates to the Explore feed or just to the top of users& main feeds with brief &what you missed& interactions. This isn&t changing with todayupdates either — the company isn&t shifting the fundamentals of how your feed flows back in time; instead, itseeking to offer snippets that help you move on tangents for discovery.

&For us, the heart of Twitter is all about discussing and discovering whathappening right now,& Twitter Senior Director of Product ManagementSriram Krishnan told TechCrunch. &Peoplehome timelines aren&t changing, we are going to show these experiences at the top of your home timeline but everything below it will continue to be the same.&

Twitter wants to inject live events into every area of the app

While users of the service have gotten used to the frequent changes in the companyExplore tab, what will be new are the push notifications that Twitter is sending to users to direct them toward new or developing stories. Doing this in a highly targeted capacity is going to be pretty critical for Twitter. People are already annoyed by the constant notifications from social media services that they explicitly okayed, when theredeviation from that people can get upset. Users will be able to shut off these types of notifications if Twitter surfaces stuff that isn&t relevant or welcome, but therea lot of potential for payoff if the company does this well.

All of these changes to the Explore tab will be rolling out to users in the U.S. and Canada in the next few months, the company says, while integrations in the home feed are simply &coming soon.&

The impact for the company could be substantial here as they continue to chase turning MAUs to DAUs, but it all depends on how much they can get to know the person at the tail-end of all of the follows, likes and retweets and see whether they can bring them something that matters.

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