Author: azeeadmin

17 Aug 2018

Movado Group acquires watch startup MVMT

The Movado Group, which sells multiple brands including Lacoste, Tommy Hilfiger and Hugo Boss, has purchased MVMT, a small watch company founded by Jacob Kassan and Kramer LaPlante in 2013. The company, which advertised heavily on Facebook, logged $71 million in revenue in 2017. Movado purchased the company for $100 million.

The acquisition of MVMT will provide us greater access to millennials and advances our Digital Center of Excellence initiative with the addition of a powerful brand managed by a successful team of highly creative, passionate and talented individuals,” Movado Chief Executive Efraim Grinberg said.

MVMT makes simple watches for the Millennial market in the vein of Fossil or Daniel Wellington. However, the company carved out a niche by advertising heavily on social media and being one of the first microbrands with a solid online presence.

“It provides an opportunity to Movado Group’s portfolio as MVMT continues to cross-sell products within its existing portfolio, expand product offerings within its core categories of watches, sunglasses and accessories, and grow its presence in new markets through its direct-to-consumer and wholesale business,” said Grinberg.

MVMT is well-known as a “fashion brand,” namely a brand that sells cheaper quartz watches that are sold on style vs. complexity or cost. Their pieces include standard three-handed models and newer quartz chronographs.

17 Aug 2018

Movado Group acquires watch startup MVMT

The Movado Group, which sells multiple brands including Lacoste, Tommy Hilfiger and Hugo Boss, has purchased MVMT, a small watch company founded by Jacob Kassan and Kramer LaPlante in 2013. The company, which advertised heavily on Facebook, logged $71 million in revenue in 2017. Movado purchased the company for $100 million.

The acquisition of MVMT will provide us greater access to millennials and advances our Digital Center of Excellence initiative with the addition of a powerful brand managed by a successful team of highly creative, passionate and talented individuals,” Movado Chief Executive Efraim Grinberg said.

MVMT makes simple watches for the Millennial market in the vein of Fossil or Daniel Wellington. However, the company carved out a niche by advertising heavily on social media and being one of the first microbrands with a solid online presence.

“It provides an opportunity to Movado Group’s portfolio as MVMT continues to cross-sell products within its existing portfolio, expand product offerings within its core categories of watches, sunglasses and accessories, and grow its presence in new markets through its direct-to-consumer and wholesale business,” said Grinberg.

MVMT is well-known as a “fashion brand,” namely a brand that sells cheaper quartz watches that are sold on style vs. complexity or cost. Their pieces include standard three-handed models and newer quartz chronographs.

17 Aug 2018

YC-backed Mutiny helps B2B business personalize their website for each visitor

Mutiny, which is part of the current batch of startups at accelerator Y Combinator, helps business-to-business, software-as-a-service companies present a message that’s customized to each visitor on their website.

Co-founder and CEO Jaleh Rezaei said this concept is alive and well in the analog world: When she was at VMware, sales reps were given materials to help them tailor their pitch for each prospective customer. Then, when she was one of the early employees at HR services startup Gusto, she tried to do something similar online, only to find that existing software wasn’t quite up to the task.

There are landing page optimization tools, but Rezaei asked, “Who wants to create a thousand versions of your website?” And there are A/B testing tools, but Rezaei argued that they’re really designed to test “generic content” and use “very little audience intelligence.” And as for creating your own personalization tools, many companies will find that it requires “way too much engineering effort.”

That’s where Mutiny comes in. It integrates with existing data sources to allow businesses to divide their customers into segments. Then they can use Mutiny’s graphical interface to create personalized elements of the webpage for each segment.

For example, when you visit the homepage of Mutiny customer Amplitude, things like the customer testimonials and the call to action will change depending on the size of the company. Or when Brex customers click through from an email marketing campaign, they’ll see a credit card offer tailored to their name and company.

Brex -- personalized with Mutiny

These kinds of changes might not seem all that significant, but Rezaei said that when someone visits a B2B website, they’re probably interested in the product or service already. If they’re not converting, it’s probably because “they didn’t find what they wanted right away.” Mutiny can help surface the right content or the right message for the right customer.

The startup will also compare the personalized results to the generic webpage to help determine what does and doesn’t improve the bottom line. Rezaei said some of Mutiny’s early customers (who include Gusto, Infusionsoft and Brex) have seen conversion rates improve by 20 to 180 percent.

“That’s not to say that every test performs better, but the nice thing here is that you immediately see how something is performing,” she added.

Eventually, Rezaei is hoping to expand Mutiny’s technology so that it can personalize every aspect of the B2B purchase experience, including email and ad retargeting.

“Our passion as a founding team is growth,” she said. “Progress occurs not when you just build something, but when that product makes it into the hands of the person for whom it was intended to help.”

17 Aug 2018

6 million users had installed third-party Twitter clients

Twitter tried to downplay the impact deactivating its legacy APIs would have on its community and the third-party Twitter clients preferred by many power users by saying that “less than 1%” of Twitter developers were using these old APIs. Twitter is correct in its characterization of the size of this developer base, but it’s overlooking millions of third-party app users in the process. According to data from Sensor Tower, six million App Store and Google Play users installed the top five third-party Twitter clients between January 2014 and July 2018.

Over the past year, these top third-party apps were downloaded 500,000 times.

This data is largely free of reinstalls, the firm also said.

The top third-party Twitter apps users installed over the past three-and-a-half years have included: Twitterrific, Echofon, TweetCaster, Tweetbot and Ubersocial.

Of course, some portion of those users may have since switched to Twitter’s native app for iOS or Android, or they may run both a third-party app and Twitter’s own app in parallel.

Even if only some of these six million users remain, they represent a small, vocal and — in some cases, prominent — user base. It’s one that is very upset right now, too. And for a company that just posted a loss of one million users during its last earnings, it seems odd that Twitter would not figure out a way to accommodate this crowd, or even bring them on board its new API platform to make money from them.

Twitter, apparently, was weighing data and facts, not user sentiment and public perception, when it made this decision. But some things have more value than numbers on a spreadsheet. They are part of a company’s history and culture. Of course, Twitter has every right to blow all that up and move on, but that doesn’t make it the right decision.

To be fair, Twitter is not lying when it says this is a small group. The third-party user base is tiny compared with Twitter’s native app user base. During the same time that six million people were downloading third-party apps, the official Twitter app was installed a whopping 560 million times across iOS and Android. That puts the third-party apps’ share of installs at about 1.1 percent of the total.

That user base may have been shrinking over the years, too. During the past year, while the top third-party apps were installed half a million times, Twitter’s app was installed 117 million times. This made third-party apps’ share only about 0.4 percent of downloads, giving the official app a 99 percent market share.

But third-party app developers and the apps’ users are power users. Zealots, even. Evangelists.

Twitter itself credited them with pioneering “product features we all know and love,” like the mute option, pull-to-refresh and more. That means the apps’ continued existence brings more value to Twitter’s service than numbers alone can show.

Image credit: iMore

They are part of Twitter’s history. You can even credit one of the apps for Twitter’s logo! Initially, Twitter only had a typeset version of its name. Then Twitterrific came along and introduced a bird for its logo. Twitter soon followed.

Twitterrific was also the first to use the word “tweet,” which is now standard Twitter lingo. (The company used “twitter-ing.” Can you imagine?)

These third-party apps also play a role in retaining users who struggle with the new user experience Twitter has adopted — its algorithmic timeline. Instead, the apps offer a chronological view of tweets, as some continue to prefer.

Twitter’s decision to cripple these developers’ apps is shameful.

It shows a lack of respect for Twitter’s history, its power user base, its culture of innovation and its very own nature as a platform, not a destination.

P.S.:

twitterrific

17 Aug 2018

YC-backed Sterblue aims to enable smarter drone inspections

As government regulation for commercial drone usage seems to be trending in a very positive direction for the companies involved, there is an ever-growing opportunity for drone startups to utilize artificial intelligence to deliver insights without requiring much human effort.

Sterblue, a French drone software startup that is launching out of Y Combinator’s latest class of companies, is aiming to get off-the-shelf drones inspecting large outdoor structures up close with automated insights that identify anomalies that need a second look.

The startup’s software is specifically focused on enabling drones to easily inspect large power lines or wind turbines with simple automated trajectories that can get a job done much quicker and with less room for human error. The software also allows the drones to get much closer to the large structures they are scanning so the scanned images are as high-quality as possible.

Compared to navigating a tight urban environment, Sterblue has the benefit of there being very few airborne anomalies around these structures, so autonomously flying along certain flight paths is as easy as having a CAD structure available and enough wiggle room to correct for things like wind condition.

Operators basically just have to connect their drones to the Sterblue cloud platform where they can upload photos and view 3D models of the structures they have scanned while letting the startup’s neural net identify any issues that need further attention. All and all, Sterblue says their software can let drones get within three meters of power lines and wind turbines, which allows their AI systems to easily detect anomalies from the photos being taken. Sterblue says their system can detect defects as small as one millimeter in size.

The startup was initially working on their own custom drone hardware but decided that their efforts were best spent supporting off-the-shelf devices from companies like DJI, with their software solution sitting on top. The founding team is composed of former Airbus employees that are focusing early efforts on utility companies, with some of the first customers based in Europe, Africa and Asia.

17 Aug 2018

Incentivai launches to simulate how hackers break blockchains

Cryptocurrency projects can crash and burn if developers don’t predict how humans will abuse their blockchains. Once a decentralized digital economy is released into the wild and the coins start to fly, it’s tough to implement fixes to the smart contracts that govern them. That’s why Incentivai is coming out of stealth today with its artificial intelligence simulations that test not just for security holes, but for how greedy or illogical humans can crater a blockchain community. Crypto developers can use Incentivai’s service to fix their systems before they go live.

“There are many ways to check the code of a smart contract, but there’s no way to make sure the economy you’ve created works as expected” says Incentivai’s solo founder Piotr Grudzień. “I came up with the idea to build a simulation with machine learning agents that behave like humans so you can look into the future and see what your system is likely to behave like.”

Incentivai will graduate from Y Combinator next week and already has a few customers. They can either pay Incentivai to audit their project and produce a report, or they can host the AI simulation tool like a software-as-a-service. The first deployments of blockchains it’s checked will go out in a few months, and the startup has released some case studies to prove its worth.

“People do theoretical work or logic to prove that under certain conditions, this is the optimal strategy for the user. But users are not rational. There’s lots of unpredictable behavior that’s difficult to model” Grudzień explains. Incentivai explores those illogical trading strategies so developers don’t have to tear their hair out trying to imagine them.

Protecting Crypto From The Human X-Factor

There’s no rewind button in the blockchain world. The immutable and irreversible qualities of this decentralized technology prevent inventors from meddling with it once in use, for better or worse. If developers don’t foresee how users could make false claims and bribe others to approve them, or take other actions to screw over the system, they might not be able to thwart the attack. But given the right open-ended incentives (hence the startup’s name), AI agents will try everything they can to earn the most money, exposing the conceptual flaws in the project’s architecture.

“The strategy is the same as what DeepMind does with AlphaGo, testing different strategies” Grudzień explains. He developed his AI chops earning a masters at Cambridge before working on natural language processing research for Microsoft.

Here’s how Incentivai works. First a developer writes the smart contracts they want to test for a product like selling insurance on the blockchain. Incentivai tells its AI agents what to optimize for and lays out all the possible actions they could take. The agents can have different identities, like a hacker trying to grab as much money as they can, a faker filing false claims, or a speculator that cares about maximizing coin price while ignoring its functionality.

Incentivai then tweaks these agents to make them more or less risk averse, or care more or less about whether they disrupt the blockchain system in its totality. The startup monitors the agents and pulls out insights about how to change the system.

For example, Incentivai might learn that uneven token distribution leads to pump and dump schemes, so the developer should more evenly divide tokens and give fewer to early users. Or it might find that an insurance product where users vote on what claims should be approved needs to increase its bond price that voters pay for verifying a false claim so that it’s not profitable for voters to take bribes from fraudsters.

Grudzień has done some predictions about his own startup too. He thinks that if the use of decentralized apps rises, there will be a lot of startups trying to copy his approach to security services. He says there are already some doing token engineering audits, incentive design, and consultancy, but he hasn’t seen anyone else with a functional simulation product that’s produced case studies. “As the industry matures, I think we’ll see more and more complex economic systems that need this.”

17 Aug 2018

Sino-U.S. investment firms are targeting over $4 billion for new funds launched this year

As limited partners increasingly demand greater exposure to emerging market opportunities, venture capital firms with a focus on Asia are bulking up their funds and chasing deals in an increasingly competitive race to own stakes in the next generation of local startups with global aspirations.

Over the last year, firms including DCM Ventures, GGV CapitalMatrix Partners China, and Qiming Venture Partners have all significantly increased the targets for their new funds. If each firm hits their targets, there’s roughly $4.4 billion in new capital that could be flooding into an already scorching market for investment into Chinese startups, according to SEC filings.

The largest of these new funds, by far, is GGV Capital, which has registered a new $1.8 billion fund with the Securities and Exchange Commission. Qiming Ventures has targeted $900 million for its latest fund, while DCM Ventures and Matrix Partners China are each looking for $750 million for their own new investment vehicles, according to securities filings.

Managing partners at the firms did not respond to a request for comment.

These four firms are among the last standing from the initial flood of U.S.-based venture capital firms that poured into Asia (and China specifically) in the first decade of the new millennium.

While marquee names like Kleiner Perkins, DFJ and others foundered in China, these four firms (along with global venture capital juggernauts like Sequoia Capital and NEA) put down deep roots and notched notable wins with investments in startups like Didi-Chuching, Kuaidi, Meituan-Dianping, Xiaomi, and many many more.

In part, these massive new funds are simply a response to the new world that venture investors find themselves in thanks to the massive amounts of capital raised by SoftBank with its $100 billion Vision Fund, or Sequoia with its $9 billion new investment vehicle.

Firms are also under pressure to raise more capital from limited partners, who want to reduce their exposure and consolidate their own investments around venture firms with track records of success and the ability to deploy capital into larger checks.

Couple those facts with the (still) low cost of capital given where interest rates are, and the sustained growth of technology companies across emerging market geographies, and you have a more willing pool of investors that want to commit more capital to emerging technology ecosystems (this is happening in Latin America too).

But there are also some contours of China’s competitive environment that are pushing these venture capital firms to raise increasingly larger funds.

One is the sheer size of the opportunity that exists for new technology companies in China. As the WeChat messaging service increasingly evolves into a new operating system, there are opportunities to scale quickly with larger infusions of capital to capture the market.

Like their peers in the U.S., Chinese companies are also delaying their public offerings and spending more time to build a better outcome with their IPOs. That’s putting pressure on earlier stage investors to raise capital so they don’t get crowded out in those later stage rounds.

Chinese entrepreneurs are also often putting in their own money to finance companies at the earliest stages, which means startups are more mature when they’re seeking their first round. It’s this phenomenon which leads to the $100 million Series A and B rounds that crop up in the Chinese market more regularly than in the U.S.

17 Aug 2018

Netflix tests video promos in between episodes, much to viewers’ dislike

Netflix is testing video promos that play in between episodes of shows a viewer is streaming, the company confirmed to TechCrunch. The promos are full-screen videos, personalized to the user, featuring content Netflix would have otherwise suggested elsewhere in its user interface – like on a row of recommendations, for example. The promos also displace the preview information for the next episode being binged, like the title, description, and thumbnail that previously appeared on the right side of the screen.

The test was first spotted by Cord Cutters News, following a Reddit thread filled with complaints. A number of Twitter users are angrily tweeting about the change, too. (See below examples.)

We understand the introduction of promos in between the episodes is not a feature Netflix is rolling out to its subscribers at this time.

Instead, it’s one of the hundreds of tests Netflix runs every year, many of which are focused on how to better promote Netflix’s original programming to its customers.

This test is currently live for a small percentage of Netflix’s global audience.

And unlike some prior tests, the promos may feature any content in Netflix’s catalog – not just its original programming.

There is some misinformation about the way the test works out there because of what may be user error on the part of the original Reddit user, or an undocumented bug.

Image credit: Reddit user WhyAllTheTrains via this post

The original Reddit post said these new video promos are “unskippable,” noting there’s a Continue button with a countdown timer on it that looks similar to the one you’d see on a YouTube ad.

But we understand that the test in question does allow users to push that Continue button at any time to move forward to the next episode.

The promos, in other words, are interruptive, but they are not unskippable.

Needless to say, consumer reaction to these promos – which consumers perceive as advertisements – has been fairly critical so far. Netflix is a paid subscription service, not an ad-supported one like Hulu with Limited Commercials. That means customers expect on-demand viewing with no ads. And they think of anything that disrupts their viewing as an advertisement, as a result.

But Netflix is always trying to figure out how to better showcase its content for subscribers, in order to help them discover new shows and keep them engaged.

It has run many experiments like this over the years, not all of which pan out. For example, last year it toyed with pre-roll video previews, and more recently it began a test that promotes its shows on the background of the login screen.

Only when Netflix sees data that proves a test increases user engagement or another metric it cares about will it roll out the feature to all subscribers. That’s been the case with those auto-playing trailers, for instance. While not necessarily beloved, they seem to be doing the job.

The company’s longer-term goal is to make its user interface more video-rich and personalized, so it’s not surprising that it’s finding new ways to insert video into that experience.

Netflix, reached for comment about the new test, offering the following statement:

At Netflix, we conduct hundreds of tests every year so we can better understand what helps members more easily find something great to watch. A couple of years ago, we introduced video previews to the TV experience, because we saw that it significantly cut the time members spend browsing and helped them find something they would enjoy watching even faster. Since then, we have been experimenting even more with video based on personalized recommendations for shows and movies on the service or coming shortly, and continue to learn from our members.

In this particular case, we are testing whether surfacing recommendations between episodes helps members discover stories they will enjoy faster. It is important to note that a member is able to skip a video preview at anytime if they are not interested.

Tweets from testers:

17 Aug 2018

Gillmor Gang: Private Lives

The Gillmor Gang — Frank Radice, Keith Teare, Michael Markman, and Steve Gillmor . Recorded live Tuesday, August 7, 2018.
Waiting for the midterms, Twitter meets the Constitution, uncommon carriers, straw man superheros.

G3: Helping Hands — Elisa Camahort Page, Francine Hardaway, Maria Ogneva, and Tina Chase Gillmor. Recorded live Friday, August 3, 2018.

@stevegillmor, @fradice, @mickeleh, @kteare

Produced and directed by Tina Chase Gillmor @tinagillmor

Liner Notes

Live chat stream

The Gillmor Gang on Facebook

G3: Helping Hands

G3 chat stream

G3 on Facebook

17 Aug 2018

Kiiroo launches an adventure in bi-directional teledildonics

In the future everyone will be naked for fifteen minutes. It’s with this novel thought in mind that I connect with a model named Nazanin who will walk me through the new world of bi-directional teledildonic cam life.

I was there to test a new device from Kiiroo called the Kiiroo Launch. This novel sex jar connects with a Flashlight – essentially a masturbator – and can send and receive signals from a remote dildo. When I first explored the Kiiroo system three years ago and found it fascinating although, arguably, it was like having sex with a 3D printer. And so I was ready to work with Nazanin.

This is going to be NSFW by the way.

Bi-directional, you say?

In the world of cam-based teledildonics the models usually wear some sort of vibrator connected to a tipping system. When the viewer tips them the model’s vibrator vibrates, adding a frisson of interactivity to what is usually a one-way street. This became the norm for most cam sites and the Lush from Lovense is a popular choice in the current cam world.

What Kiiro has done is add that level of interactivity to its offerings. The Launch, for example, can send sensations to other devices including the OhMiBod, the We-Vibe, and the Kiiroo Pearl. You can either vibrate any of these things with tips or, in some cases, send signals from the Launch to the vibrator which sort of mimic your movements in real time.

Cam site Flirt4Free is the first site to enable this functionality and was also one of the first to enable Kiiroo in general, allowing models to send sensations to viewers using a robotic sex jar.

I told you this would be NSFW.

Sex jar, you say?

The experience, for the most part, was quite pleasant. The Launch is an excellent device – Engadget loved it – and it is far superior to the original Kiiroo Onyx I reviewed a few years ago. The Launch is a massive thing that holds an entirely separate sex toy inside it and it literally looks like a giant black egg sack.


I connected with the model using an app called Feel Connect that uses QR codes to link two phones or devices. In this case I linked to Nazanin’s room directly during a private session. Private sessions on Flirt4Free are paid in credits and you get 1050 credits for $100. Each model sets up their own pricing system – 40 credits per minute, for example – and once you’re in private you can talk, flirt, and show each other your bits.

In this case we were testing a device for science so Nazanin and I began a mating dance involving the swapping of QR codes and the preparation of various robotic attachments. The game proceeded apace with my signals reaching her and hers reaching me and I found myself asking fewer and fewer journalistic questions as the interview continued. She said she liked the feelings I was sending and I enjoyed the feelings she sent. It was, in the end, like a Slack room but naked.

“Up until now, performers have been using ‘read-only’ interactive devices, which react to the wildly popular tip-by-sound functionality,” said Flirt4Free President Greg Clayman .
“With compatible devices, clients can now play with their device, causing the model’s device to react- and the model can also control their device, resulting in the most realistic, mind-blowing experience ever!”

Ultimately I suspect most of us will have something like this in the home. Given the prevalence of masturbation in the human mammal and our lifelong dedication to technology, I can imagine this being just another way for all of us to get off. While it’s not perfect – my battery went dead during the session – nothing really is and I suspect the camaraderie and hearty hail-fellow-well-met nature of video sex will make a few converts over the next few years.

Ultimately tech touches everything. The fact that I’m able to send a message – be it an email or a vibration – around the world is fascinating. And as tech enters our lives more and more completely tools like the Launch will become commonplace. We trade a lot for this evolution of pleasure, to be sure, but we gain much as well. Nazanin said she liked it too, which was nice.

I told you this was going to be NSFW, didn’t I?