Monday, November 30, 2020

AWS launches EC2 computing instances that run Apple's MacOS

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Python vs Julia: Which is The Best Modern Day Programming Language

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Singapore-based mental health app Intellect reaches one million users, closes seed funding

Theodoric Chew, co-founder and chief executive officer of mental health app Intellect

Theodoric Chew, co-founder and chief executive officer of mental health app Intellect

Intellect, a Singapore-based startup that wants to lower barriers to mental health care in Asia, says it has reached more than one million users just six months after launching. Google also announced today that the startup’s consumer app, also called Intellect, is one of its picks for best personal growth apps of 2020.

The company recently closed an undisclosed seed round led by Insignia Ventures Partners. Angel investors including e-commerce platform Carousell co-founder and chief executive officer Quek Siu Rui; former Sequoia partner Tim Lee; and startup consultancy xto10x’s Southeast Asia CEO J.J. Chai also participated.

In a statement, Insignia Ventures Partners principal Samir Chaibi said, “In Intellect, we see a fast-scaling platform addressing a pain that has become very obvious amidst the COVID-19 pandemic. We believe that pairing clinically-backed protocols with an efficient mobile-first delivery is the key to break down the barriers to access for millions of patients globally.”

Co-founder and chief executive officer Theodoric Chew launched Intellect earlier this year because while there is a growing pool of mental wellness apps in the United States and Europe that have attracted more funding during the COVID-19 pandemic, the space is still very young in Asia. Intellect’s goal is encourage more people to incorporate mental health care into their daily routines by lowering barriers like high costs and social stigma.

Intellect offers two products. One is a consumer app with self-guided programs based on cognitive behavioral therapy techniques that center on issues like anxiety, self-esteem or relationship issues.

The other is a mental health platform for employers to offer as a benefit and includes a recently launched telehealth service called Behavioural Health Coaching that connects users with mental health professionals. The service, which includes one-on-one video sessions and unlimited text messaging, is now a core part of Intellect’s services, Chew told TechCrunch.

Intellect’s enterprise product now reaches 10,000 employees, and its clients include tech companies, regional operations for multinational corporations and hospitals. Most are located in Singapore, Hong Kong, Indonesia and India, and range in size from 100 to more than 3,000 employees.

For many small- to mid-sized employers, Intellect is often the first mental health benefit they have offered. Larger clients may already have EAP (employee assistance programs), but Chew said those are often underutilized, with an average adoption rate of 1% to 2%. On the other hand, he said Intellect’s employee benefit program sees an average adoption rate of 30% in the first month after it is rolled out at a company.

Chew added that the COVID-19 pandemic has prompted more companies to address burnout and other mental health issues.

“In terms of larger trends, we’ve seen a huge spike in companies across the region having mental health and wellbeing of their employees being prioritized on their agenda,” said Chew. “In terms of user trends, we see a significantly higher utilization in work stress and burnout, anxiety and relationship-related programs.”

Intellect’s seed round will be used to expand in Asian markets and to help fund clinical research studies it is currently conducting with universities and organizations in Singapore, Australia and the United Kingdom.



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China’s tech firms rush to deliver solutions for grocery shopping

Nearly all of China’s largest internet firms have established a presence in online grocery. Just this week, news arrived that Alibaba co-led the $196 million C3 funding round of Nice Tuan, the two-year-old grocery group-buying firm’s fourth round year to date.

People in China shop online for almost everything, including groceries. At first, grocery e-commerce appears to have caught on mainly among the digitally-savvy who have grown reliant on the convenience of e-commerce and don’t mind paying a bit more for delivery. Many elderly shoppers, on the other hand, still prefer visiting traditional wet markets where ingredients are generally cheaper.

Now tech companies in China are scrambling to capture grocery shoppers of all ages. A new business model that’s getting a lot of funding is that of Nice Tuan, the so-called community group buying.

In conventional grocery e-commerce, an intermediary platform like Alibaba normally connects individual shoppers to an array of merchants and offers doorstep delivery, which arrives normally within an hour in China.

A community group-buying, in comparison, relies on an army of neighborhood-based managers — often housewives looking for part-time work — to promote products amongst neighbors and tally their orders in group chats, normally through the popular WeChat messenger. The managers then place the group orders with suppliers and have the items delivered to pick-up spots in the community, such as a local convenience store.

It’s not uncommon to see piles of grocery bags at corner stores wating to be fetched these days, and the model has inspired overseas Chinese entrepreneurs to follow suit in America.

Even in China where e-commerce is ubiquitous, the majority of grocery shopping still happens offline. That’s changing quickly. The fledgling area of grocery group-buying is growing at over 100% year-over-year in 2020 and expected to reach 72 billion yuan ($11 billion) in market size, according to research firm iiMedia.

It sounds as if grocery group-buying and self-pickup is a step back in a world where doorstep convenience is the norm. But the model has its appeal. Texting orders in a group chat is in a way more accessible for the elderly, who may find Chinese e-commerce apps, often overlaid with busy buttons and tricky sales rules, unfriendly. With bulk orders, sales managers might get better bargains from suppliers. If a group-buying company is ambitious, it can always add last-mile delivery to its offering.

Chinese tech giants are clearly bullish about online grocery and diversifying their portfolios to make sure they have a skin in the game. Tencent is an investor in Xingsheng Youxuan, Nice Tuan’s major competitor. Food delivery service Meituan has its own grocery arm, offering both the traditional digital grocer as well as the WeChat-based group-buy model. E-commerce upstart Pinduoduo similarly supports grocery group purchases. Alibaba itself already operates the Hema supermarket, which operates both online and offline markets.



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New – Use Amazon EC2 Mac Instances to Build & Test macOS, iOS, ipadOS, tvOS, and watchOS Apps | Amazon Web Services

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Advent of Code 2020

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Porting Space Station 13 with Transpilation and Implementing the BYOND Platform

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AWS brings the Mac mini to its cloud

AWS today opened its re:Invent conference with a surprise announcement: the company is bringing the Mac mini to its cloud. These new EC2 Mac instances, as AWS calls them, are now available in preview. They won’t come cheap, though.

The target audience here — and the only one AWS is targeting for now — is developers who want cloud-based build and testing environments for their Mac and iOS apps. But it’s worth noting that with remote access, you get a fully-featured Mac mini in the cloud, and I’m sure developers will find all kinds of other use cases for this as well.

Given the recent launch of the M1 Mac minis, it’s worth pointing out that the hardware AWS is using — at least for the time being — are i7 machines with six physical and 12 logical cores and 32 GB of memory. Using the Mac’s built-in networking options, AWS connects them to its Nitro System for fast network and storage access. This means you’ll also be able to attach AWS block storage to these instances, for example.

Unsurprisingly, the AWS team is also working on bringing Apple’s new M1 Mac minis into its data centers. The current plan is to roll this out “early next year,” AWS tells me, and definitely within the first half of 2021. Both AWS and Apple believe that the need for Intel-powered machines won’t go away anytime soon, though, especially given that a lot of developers will want to continue to run their tests on Intel machines for the foreseeable future.

David Brown, AWS’s vice president of EC2, tells me that these are completely unmodified Mac minis. AWS only turned off Wi-Fi and Bluetooth. It helps, Brown said, that the minis fit nicely into a 1U rack.

“You can’t really stack them on shelves — you want to put them in some sort of service sled [and] it fits very well into a service sled and then our cards and all the various things we have to worry about, from an integration point of view, fit around it and just plug into the Mac mini through the ports that it provides,” Brown explained. He admitted that this was obviously a new challenge for AWS. The only way to offer this kind of service is to use Apple’s hardware, after all.

Image Credits: AWS

It’s also worth noting that AWS is not virtualizing the hardware. What you’re getting here is full access to your own device that you’re not sharing with anybody else. “We wanted to make sure that we support the Mac Mini that you would get if you went to the Apple store and you bought a Mac mini,” Brown said.

Unlike with other EC2 instances, whenever you spin up a new Mac instance, you have to pre-pay for the first 24 hours to get started. After those first 24 hours, prices are by the second, just like with any other instance type AWS offers today.

AWS will charge $1.083 per hour, billed by the second. That’s just under $26 to spin up a machine and run it for 24 hours. That’s quite a lot more than what some of the small Mac mini cloud providers are charging (we’re generally talking about $60 or less per month for their entry-level offerings and around two to three times as much for a comparable i7 machine with 32GB of RAM).

Image Credits: Ron Miller/TechCrunch

Until now, Mac mini hosting was a small niche in the hosting market, though it has its fair number of players, with the likes of MacStadium, MacinCloud, MacWeb and Mac Mini Vault vying for their share of the market.

With this new offering from AWS, they are now facing a formidable competitor, though they can still compete on price. AWS, however, argues that it can give developers access to all of the additional cloud services in its portfolio, which sets it apart from all of the smaller players.

“The speed that things happen at [other Mac mini cloud providers] and the granularity that you can use those services at is not as fine as you get with a large cloud provider like AWS,” Brown said. “So if you want to launch a machine, it takes a few days to provision and somebody puts a machine in a rack for you and gives you an IP address to get to it and you manage the OS. And normally, you’re paying for at least a month — or a longer period of time to get a discount. What we’ve done is you can literally launch these machines in minutes and have a working machine available to you. If you decide you want 100 of them, 500 of them, you just ask us for that and we’ll make them available. The other thing is the ecosystem. All those other 200-plus AWS services that you’re now able to utilize together with the Mac mini is the other big difference.”

Brown also stressed that Amazon makes it easy for developers to use different machine images, with the company currently offering images for macOS Mojave and Catalina, with Big Sure support coming “at some point in the future.” And developers can obviously create their own images with all of the software they need so they can reuse them whenever they spin up a new machine.

“Pretty much every one of our customers today has some need to support an Apple product and the Apple ecosystem, whether it’s iPhone, iPad or  Apple TV, whatever it might be. They’re looking for that bold use case,” Brown said. “And so the problem we’ve really been focused on solving is customers that say, ‘hey, I’ve moved all my server-side workloads to AWS, I’d love to be able to move some of these build workflows, because I still have some Mac minis in a data center or in my office that I have to maintain. I’d love that just to be on AWS.’ ”

AWS’s marquee launch customers for the new service are Intuit, Ring and mobile camera app FiLMiC.

“EC2 Mac instances, with their familiar EC2 interfaces and APIs, have enabled us to seamlessly migrate our existing iOS and macOS build-and-test pipelines to AWS, further improving developer productivity,” said Pratik Wadher, vice president of Product Development at Intuit. “We‘re experiencing up to 30% better performance over our data center infrastructure, thanks to elastic capacity expansion, and a high availability setup leveraging multiple zones. We’re now running around 80% of our production builds on EC2 Mac instances, and are excited to see what the future holds for AWS innovation in this space.”

The new Mac instances are now available in a number of AWS regions. These include US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Ireland) and Asia Pacific (Singapore), with other regions to follow soon.



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I created a simple PlayStation 5 bot to help non-scalpers

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How to WASM DWARF

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Cyber Monday scams? Fakespot says it can identify fraudulent reviews and sellers online

The pandemic has made it all but impossible for a retail company without an online presence to survive. Yet while companies heavily dependent on foot traffic like J.Crew and Sur la Table have filed for bankruptcy this year, companies that are expert in e-commerce have thrived, including Target and Walmart. Amazon alone now attracts roughly one quarter of all dollars spent online by U.S. shoppers.

Unfortunately, as more shopping moves online, fraud is exploding, too. The problem is such that startups working with enterprises — flagging transactions for banks, for example — are raising buckets of funding. Meanwhile, one New York-based startup, Fakespot, is taking a different approach. It’s using AI to notify online shoppers when the products they’re looking to buy are fake listings or when reviews they’re reading on marketplaces like Amazon or eBay are a fiction.

We talked earlier today with Kuwaiti immigrant Saoud Khalifah about the four-year-old business, which got started in his dorm room after his own frustrating experience in trying to buy nutritional supplements from Amazon. After he’d nabbed his master’s degree in software engineering, he launched the company in earnest.

Like many other companies, Fakespot was originally focused on helping enterprise customers identify counterfeit outfits and fake reviews. When the pandemic struck, company spied an “opening crack on the internet,” as Khalifah describes it, and began instead catering directly to consumers who are increasingly using platforms that are struggling to keep up — and whose solutions are often more focused on protecting sellers from buyers and not the other way around.

The pivot seems to be working. Fakespot just closed on $4 million in Series A funding led by Bullpen Capital, which was joined by SRI Capital, Faith Capital and 500 Startups among others in a round that brings the company’s total funding to $7 million.

The company is gaining more attention from shoppers, too. Khalifah says that a Chrome browser extension introduced earlier this year has now been downloaded 300,000 times — and this on the heels of “millions of users” who have separately visited Fakespot’s site, typed in a URL of a product review, and through its “Fakespot analyzer,” been provided with free data to help inform their buying decisions.

Indeed, according to Khalifah, since Fakespot’s official founding it has amassed a database of more than 8 billion reviews — around 10 times as many as the popular travel site Tripadvisor — from which its AI has learned. He says the tech is sophisticated enough at this point to identify AI-generated text; as for the “lowest-hanging fruit,” he says it can easily spot when reviews or positive sentiments about a company are posted in an inorganic way, presumably published by click farms. (It also tracks fake upvotes.)

As for where shoppers can use the chrome extension, Fakespot currently scours all the largest marketplaces, including Amazon, eBay, Best Buy, Walmart, and Sephora. Soon, says Khalifah, users will also be able to use the technology to assess the quality of products being sold through Shopify, the software platform that is home to hundreds of thousands of online stores. (Last year, it surpassed eBay to become the No. 2 e-commerce destination in the U.S., according to Shopify.)

Right now, Fakespot is free to use, including because every review a consumer enters into its database helps train its AI further. Down the road, the company expects to make money by adding a suite of tools atop its free offering. It may also strike lead-generation deals with companies whose products and reviews it has already verified as real and truthful.

The question, of course, is how reliably the technology works in the meantime. While Khalifah understandably sings Fakespot’s praises, a visit to the Google Play store, for example, paints a mixed picture, with many enthusiastic reviews and some that are, well, less enthusiastic.

Khalifah readily concedes that Fakespot’s mobile apps need more attention, which he says they will receive. Though Fakespot has been focused predominately on the desktop experience, Khalifah notes that more than half of online shopping is expected to be conducted over mobile phones by some time next year, a shift that isn’t lost on him, even while it hinges a bit on the pandemic being brought effectively to an end (and consumers finding themselves on the run again).

Still, he says that “ironically, a lot of [bad] reviews are from sellers who are angry that we’ve given them F grades. They’re often mad that we revealed that their product is filled with fake reviews.”

As for how Fakespot moves past these to improve its own rating, Khalifah suggests that the best strategy is actually pretty simple.

“We hope we’ll have many more satisfied users,” he says, adding: “No one else really has consumers’ backs.”



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Smarter C/C++ inlining with __attribute__((flatten))

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What is the application/function of reversed string in real life?

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SerenityOS update (November 2020)

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[x-post][joindevember] #devember 2020 has started - Let's say goodbye to this strange year with some fun coding!

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Fable Web Components with F# (as a JavaScript alternative)

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Sunday, November 29, 2020

R vs MATLAB: Unbiased Comparison to Choose The Best

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The Trump administration will add SMIC, China’s largest chipmaker, to its defense blacklist: report

SMIC, one of largest chip makers in the world, is among several companies that the Department of Defense plans to designate as being owned or controlled by the Chinese military, reports Reuters. Earlier this month, President Donald Trump signed an executive order, set to go into effect on January 11, that would bar U.S. investors from buying securities from companies on the defense blacklist.

In a statement to Reuters, SMIC said it continues “to engage constructively and openly with the U.S. government” and that it “has no relationship with the Chinese military and does not manufacture for military end-users or end-uses.”

The largest semiconductor maker in China, SMIC holds about 4% of the worldwide foundry market, estimates market research firm TrendForce. Its U.S. customers have included Qualcomm, Broadcom and Texas Instruments.

There are currently 31 companies on the defense blacklist. SMIC is one of four new companies that the Department of Defense plans to add, according to Reuters. The others are China Construction Technology, China International Engineering Consulting Corp and China National Offshore Oil Corp (CNOOC).

The company delisted from NYSE in May 2019, but it said that the decision was prompted by the limited trading volume and high administrative costs, not the U.S.-China trade war or the U.S. government’s blacklisting of Huawei and other Chinese tech companies.

SMIC has already been impacted by export restrictions that prevent them from purchasing key equipment from American suppliers. At the beginning of October, it told shareholders that export restrictions set by the U.S. Bureau of Industry and Security could have “material adverse effects” on its production.

The executive order, and the possible addition of new companies to the defense blacklist, is in-line with the Trump administration’s hard stance against Chinese tech companies, including Huawei, ZTE and ByteDance, that it claims are a potential national security threat through their alleged ties to the Chinese government and military. But the future of a lot of the current administration’s policies after the Joe Biden assumes the presidency on January 20 is uncertain.

TechCrunch has contacted SMIC for comment.



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"Rust programming for the object oriented" - a tutorial I've put together for the curious and skeptical

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Algorithms

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Seeing is believing: a client-centric specification of database isolation

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I created a Chrome Extension - TabMerger. It is open source, check it out and contribute as you see fit: https://ift.tt/36kCbwb

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CPP INTERVIEW PREP CHEAT SHEET

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Calculating Vehicle MPG, Embedded Systems Eng

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Kotlin VS Flutter: Which One Races Ahead?

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DwarFS: A fast high compression read-only file system

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How to Understand and Solve Conflicts in Git

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Learn NLP the Stanford way — Lesson 1

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Primer, the fintech helping merchants consolidate the payments stack, raises £14M Series A

Primer, the U.K. fintech that wants to help merchants consolidate their payments stack and easily support new payment methods in the future, has raised £14 million in Series A funding. The round was led by Accel, who I understand were quite proactive in persuading Primer to take the VC firm’s money.

The young company wasn’t actively fund-raising, having quietly raised £3.8 million in funding announced in May. Instead, the team was heads down building out the product and wooing potential customers by holding technical workshops and in-depth interviews over Zoom with 100 merchants — activity that didn’t go unnoticed.

Also participating in the Series A are existing investors: Balderton, SpeedInvest and Seedcamp, who were joined in the round by new backer RTP Global. Sonali De Rycker, partner at Accel, will join Primer’s board.

Founded by ex-PayPal employees – via PayPal’s acquisition of Braintree — Primer wants to offer one payments API to (hopefully) rule them all, with the explicit aim of bringing greater transparency to a merchant’s payment stack.

The thinking is that larger merchants, especially those that operate in more than one geography, have to support an array of payment methods, which brings with it significant technical overhead, a poor user experience, and lack of transparency.

Primer, now described as a “low code” platform, carries out a lot of that heavy-lifting on behalf of merchants and while remaining steadfastly payment method agnostic. By doing so, the idea is to reduce friction when adopting new payment methods as they come to market, and be able to provide better insights into things like how well each checkout option is performing.

As well as payment-service-providers (PSPs), the platform has connectors for fraud providers, chargeback services, subscription billing engines, BI tools, loyalty and rewards platforms. Both payments and non-payments services can be “seamlessly connected to the checkout experience and payments flow via workflows, enabling merchants to unify their fraud migration efforts, build sophisticated transaction routing, and solve complex flows – all with no code,” explains Primer.

Primer says the additional funding will be used for international business development and scaling its team. Billed as a remote-first company, Primer has 23 employees across six countries, and says it has already picked up traction across mid-market and large enterprise e-commerce merchants across Europe.

Comments Paul Anthony, Primer’s co-founder and head of product and engineering: “During our time at PayPal, we saw first-hand the technical burden online merchants face trying to offer the best payments experiences to their customers globally. Our low-code approach enables merchants’ payments teams to manage and expand their payments ecosystems, and maintain sophisticated payments logic with a familiar workflow UI”.

Meanwhile, the new investment brings Primer’s total funding to £17.8 million, and comes only a few weeks after the initial launch of the company’s platform.



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Doing some coding!

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What are the new features coming on Android 11?

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Noble’s “Algorithms of Oppression” indexes search engine bias

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gorilla42 - A Difficult Programming Puzzle

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Little Things That Made Amiga Great

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Only 2 days and 19 hours left for the HUMBLE SOFTWARE BUNDLE: AI-POWERED PHOTO EDITOR WITH LUMINAR 4 Get Luminar 4, Aurora HDR, Photolemur 3, Skies: Power of Nature and more! You can get Photolemur 3 for 1$

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Bare Metal X86 Programming E1: switching to long mode

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C++ Concurrency Model on x86 for Dummies

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Loading C Code Dynamically

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What are Cookies? (Internet Cookies, Explained)

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You Can Now Learn for FREE: 9 Courses by Google about Artificial Intelligence, Machine Learning and Data Science

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Ruby Tutorial: Abstract Classes

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Everything You Need to Know About Object Storage

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fmod() is currently broken in Windows 10

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System Design Interview - TinyURL | Bitly System Design - Pros & Cons of different design approaches

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Saturday, November 28, 2020

When I lost a few hundred leads

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Recent 375 upvote post was removed, not sure why, please help!

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Can anyone help we with this question? It is urgently!

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A Visual Guide To React Mental Models

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Custom Liquid Physics Simulation (Android Processing APDE)

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Made an updated version of a Music Player I made a month ago

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The java program for 3,6,9,12,15,18..... and finding its nth term

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Godot's 2D engine gets several improvements for upcoming 4.0

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Is Apple Silicon Ready for Developers?

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I used HTML/CSS to make a parallax version of a William Blake painting

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Input Sans and Mono. Input Sans is a proportional typeface designed for coding.

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I got carried away and made a new scripting language

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Voice Search Discord Bot - Looking for help and criticism on my first open source project

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Script to provide free* DynamicDNS for your AWS hosted zone

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I too made my personal site into a DE, but I think my age might be starting to show...

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Working on a Scuffed implementation of GNU Core Utils in python

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BBC Online Going Serverless

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Black Friday on track for $8.9B+ in online sales as shoppers stay away from brick-and-mortar stores

Black Friday — the day that launched 1,000 other shopping holidays — may have lost its place as the “start” of the Christmas shopping season by now (it gets bigger and earlier with each passing year). But the day after Thanksgiving still pulls in a crowd of buyers looking for a bargain and remains a major bellwether for tracking how sales will progress in what is the most important period for the retail and commerce sector.

Because of the Covid-19 pandemic, this year was definitely slimmer when it came to actual, in-person crowds — kind of a refreshing break from those times when you feel like it’s the worst of humanity when people are breaking out into fights over TVs at a local Walmart — but online it seems that sales did not disappoint.

Figures from Adobe, which is following online sales in real-time at 80 of the top 100 retailers in the U.S., covering some 100 million SKUs, said that we are “on track” for a new sales record for the day, with between $8.9 billion and $9.6 billion expected in sales online for Black Friday, a jump of 20%-29% on last year.

For some context, in 2019, Adobe tracked $7.4 billion in online sales, and yesterday it said that shoppers spent $5.1 billion on Thanksgiving, with more than $3 billion spent online each day in the week leading up to Thursday.

Adobe was still tallying the final numbers for the day as of this morning European time, so we’ll update this post with the final numbers as and when we get them.

Its analysts say that the evening tends to be big for online shopping — which makes sense since people might have been either going out in person during the day, or just doing something else on a day off.

Not all are in agreement that night time is the right time, however. Figures from Shopify — which analyses activity from the 1 million-plus merchants that use its e-commerce platform — said that the peak shopping hour on its platform was actually 9am Eastern, when there were as many as $3 million in sales per minute. The average cart size for US shoppers was $95.60, it added.

Interestingly, Shopify’s per-minute sales number underscores how the long tail of merchants are still quite a ways behind the very biggest: Adobe noted that its figures, across the sites that it tracks (which have at least $1 billion in annual sales) tally to $6.2 million spent per minute on Black Friday.

In either case, smartphones continue to be a major driver of how sales get made. Adobe said that as of 4pm Eastern some 41.5% of all sales were on handsets, a bit lower than the day before but 7% higher than in 2019. And just as was the case yesterday, it seems that smaller retailers are attracting more shoppers on mobile: Shopify said that some 70% of its sales are being made via smartphones.

We’ll see how all of that plays out later today also with the initial figures from “Small Business Saturday”, which is the latest of the shopping designations added to the holiday weekend, this one trying to hone focus more squarely away from major chains and big box merchants.

One big takeaway from the bigger weekend figures will be that offering items — electronics, tech, toys and sports goods being the most popular categories — at the right price will help retailers continue to bring in sales, in what has proven to be an especially strong year for online shopping after many have opted to stay away from crowded places due to the pandemic, but also a critical year for retailers because of the drag that the pandemic has had on the wider economy.

Cyber Monday is likely to continue to be the biggest of them all, expected to bring in between $11.2 billion and $13 billion in e-commerce transactions, up 19%-38% year-on-year.

Perhaps because of the shift to more online shopping, and the concern over flagging sales, it’s interesting that “holiday season” has also been extended and now comes earlier. Adobe said a survey of consumers found that 41% said they would start shopping earlier this year than previous years due to much earlier discounts. Recall too that Amazon’s Prime Day was delayed to start in October this year, an ‘event’ that many treated as a moment to get a jump start on holiday shopping.

“Black Friday is headed for record-breaking levels as consumers flock online to shop for both holiday gifts and necessities,” said Taylor Schreiner, director, Adobe Digital Insights. “Concurrently, it’s also worth noting that this year, we’re seeing strong online sales momentum across not only the major shopping days like Thanksgiving weekend, but throughout the holiday season as consumers spread out their shopping across several weeks in reaction to continued, heavy discounting from retailers.”



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