30 September 2019

Google brings its Jacquard wearables tech to Levi’s Trucker Jacket


Back in 2015, Google’s ATAP team demoed a new kind of wearable tech at Google I/O that used functional fabrics and conductive yarns to allow you to interact with your clothing and, by extension, the phone in your pocket. The company then released a jacket with Levi’s in 2017, but that was expensive, at $350, and never really quite caught on. Now, however, Jacquard is back. A few weeks ago, Saint Laurent launched a backpack with Jacquard support, but at $1,000, that was very much a luxury product. Today, however, Google and Levi’s are announcing their latest collaboration: Jacquard-enabled versions of Levi’s Trucker Jacket.

These jackets, which will come in different styles, including the Classic Trucker and the Sherpa Trucker, and in men’s and women’s versions, will retail for $198 for the Classic Trucker and $248 for the Sherpa Trucker. In addition to the U.S., it’ll be available in Australia, France, Germany, Italy, Japan and the U.K.

The idea here is simple and hasn’t changed since the original launch: a dongle in your jacket’s cuff connects to conductive yarns in your jacket. You can then swipe over your cuff, tap it or hold your hand over it to issue commands to your phone. You use the Jacquard phone app for iOS or Android to set up what each gesture does, with commands ranging from saving your location to bringing up the Google Assistant in your headphones, from skipping to the next song to controlling your camera for selfies or simply counting things during the day, like the coffees you drink on the go. If you have Bose noise-canceling headphones, the app also lets you set a gesture to turn your noise cancellation on or off. In total, there are currently 19 abilities available, and the dongle also includes a vibration motor for notifications.

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What’s maybe most important, though, is that this (re-)launch sets up Jacquard as a more modular technology that Google and its partners hope will take it from a bit of a gimmick to something you’ll see in more places over the next few months and years.

“Since we launched the first product with Levi’s at the end of 2017, we were focused on trying to understand and working really hard on how we can take the technology from a single product […] to create a real technology platform that can be used by multiple brands and by multiple collaborators,” Ivan Poupyrev, the head of Jacquard by Google told me. He noted that the idea behind projects like Jacquard is to take things we use every day, like backpacks, jackets and shoes, and make them better with technology. He argued that, for the most part, technology hasn’t really been added to these things that we use every day. He wants to work with companies like Levi’s to “give people the opportunity to create new digital touchpoints to their digital life through things they already have and own and use every day.”

What’s also important about Jacquard 2.0 is that you can take the dongle from garment to garment. For the original jacket, the dongle only worked with this one specific type of jacket; now, you’ll be able to take it with you and use it in other wearables as well. The dongle, too, is significantly smaller and more powerful. It also now has more memory to support multiple products. Yet, in my own testing, its battery still lasts for a few days of occasional use, with plenty of standby time.

jacquard dongle

Poupyrev also noted that the team focused on reducing cost, “in order to bring the technology into a price range where it’s more attractive to consumers.” The team also made lots of changes to the software that runs on the device and, more importantly, in the cloud to allow it to configure itself for every product it’s being used in and to make it easier for the team to add new functionality over time (when was the last time your jacket got a software upgrade?).

He actually hopes that over time, people will forget that Google was involved in this. He wants the technology to fade into the background. Levi’s, on the other hand, obviously hopes that this technology will enable it to reach a new market. The 2017 version only included the Levi’s Commuter Trucker Jacket. Now, the company is going broader with different styles.

“We had gone out with a really sharp focus on trying to adapt the technology to meet the needs of our commuter customer, which a collection of Levi’s focused on urban cyclists,” Paul Dillinger, the VP of Global Product Innovation at Levi’s, told me when I asked him about the company’s original efforts around Jacquard. But there was a lot of interest beyond that community, he said, yet the built-in features were very much meant to serve the needs of this specific audience and not necessarily relevant to the lifestyles of other users. The jackets, of course, were also pretty expensive. “There was an appetite for the technology to do more and be more accessible,” he said — and the results of that work are these new jackets.

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Dillinger also noted that this changes the relationship his company has with the consumer, because Levi’s can now upgrade the technology in your jacket after you bought it. “This is a really new experience,” he said. “And it’s a completely different approach to fashion. The normal fashion promise from other companies really is that we promise that in six months, we’re going to try to sell you something else. Levi’s prides itself on creating enduring, lasting value in style and we are able to actually improve the value of the garment that was already in the consumer’s closet.”

I spent about a week with the Sherpa jacket before today’s launch. It does exactly what it promises to do. Pairing my phone and jacket took less than a minute and the connection between the two has been perfectly stable. The gesture recognition worked very well — maybe better than I expected. What it can do, it does well, and I appreciate that the team kept the functionality pretty narrow.

Whether Jacquard is for you may depend on your lifestyle, though. I think the ideal user is somebody who is out and about a lot, wearing headphones, given that music controls are one of the main features here. But you don’t have to be wearing headphones to get value out of Jacquard. I almost never wear headphones in public, but I used it to quickly tag where I parked my car, for example, and when I used it with headphones, I found using my jacket’s cuffs easier to forward to the next song than doing the same on my headphones. Your mileage may vary, of course, and while I like the idea of using this kind of tech so you need to take out your phone less often, I wonder if that ship hasn’t sailed at this point — and whether the controls on your headphones can’t do most of the things Jacquard can. Google surely wants Jacquard to be more than a gimmick, but at this stage, it kind of still is.

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Fresh Pears


Fresh Pears

Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model




Google's mission is not just to organize the world's information but to make it universally accessible, which means ensuring that our products work in as many of the world's languages as possible. When it comes to understanding human speech, which is a core capability of the Google Assistant, extending to more languages poses a challenge: high-quality automated speech recognition (ASR) systems require large amounts of audio and text data — even more so as data-hungry neural models continue to revolutionize the field. Yet many languages have little data available.

We wondered how we could keep the quality of speech recognition high for speakers of data-scarce languages. A key insight from the research community was that much of the "knowledge" a neural network learns from audio data of a data-rich language is re-usable by data-scarce languages; we don't need to learn everything from scratch. This led us to study multilingual speech recognition, in which a single model learns to transcribe multiple languages.

In “Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model”, published at Interspeech 2019, we present an end-to-end (E2E) system trained as a single model, which allows for real-time multilingual speech recognition. Using nine Indian languages, we demonstrated a dramatic improvement in the ASR quality on several data-scarce languages, while still improving performance for the data-rich languages.

India: A Land of Languages
For this study, we focused on India, an inherently multilingual society where there are more than thirty languages with at least a million native speakers. Many of these languages overlap in acoustic and lexical content due to the geographic proximity of the native speakers and shared cultural history. Additionally, many Indians are bilingual or trilingual, making the use of multiple languages within a conversation a common phenomenon, and a natural case for training a single multilingual model. In this work, we combined nine primary Indian languages, namely Hindi, Marathi, Urdu, Bengali, Tamil, Telugu, Kannada, Malayalam and Gujarati.

A Low-latency All-neural Multilingual Model
Traditional ASR systems contain separate components for acoustic, pronunciation, and language models. While there have been attempts to make some or all of the traditional ASR components multilingual [1,2,3,4], this approach can be complex and difficult to scale. E2E ASR models combine all three components into a single neural network and promise scalability and ease of parameter sharing. Recent works have extended E2E models to be multilingual [1,2], but they did not address the need for real-time speech recognition, a key requirement for applications such as the Assistant, Voice Search and GBoard dictation. For this, we turned to recent research at Google that used a Recurrent Neural Network Transducer (RNN-T) model to achieve streaming E2E ASR. The RNN-T system outputs words one character at a time, just as if someone was typing in real time, however this was not multilingual. We built upon this architecture to develop a low-latency model for multilingual speech recognition.
[Left] A traditional monolingual speech recognizer comprising of Acoustic, Pronunciation and Language Models for each language. [Middle] A traditional multilingual speech recognizer where the Acoustic and Pronunciation model is multilingual, while the Language model is language-specific. [Right] An E2E multilingual speech recognizer where the Acoustic, Pronunciation and Language Model is combined into a single multilingual model.
Large-Scale Data Challenges
Using large-scale, real-world data for training a multilingual model is complicated by data imbalance. Given the steep skew in the distribution of speakers across the languages and speech product maturity, it is not surprising to have varying amounts of transcribed data available per language. As a result, a multilingual model can tend to be more influenced by languages that are over-represented in the training set. This bias is more prominent in an E2E model, which unlike a traditional ASR system, does not have access to additional in-language text data and learns lexical characteristics of the languages solely from the audio training data.
Histogram of training data for the nine languages showing the steep skew in the data available.
We addressed this issue with a few architectural modifications. First, we provided an extra language identifier input, which is an external signal derived from the language locale of the training data; i.e. the language preference set in an individual’s phone. This signal is combined with the audio input as a one-hot feature vector. We hypothesize that the model is able to use the language vector not only to disambiguate the language but also to learn separate features for separate languages, as needed, which helped with data imbalance.

Building on the idea of language-specific representations within the global model, we further augmented the network architecture by allocating extra parameters per language in the form of residual adapter modules. Adapters helped fine-tune a global model on each language while maintaining parameter efficiency of a single global model, and in turn, improved performance.
[Left] Multilingual RNN-T architecture with a language identifier. [Middle] Residual adapters inside the encoder. For a Tamil utterance, only the Tamil adapters are applied to each activation. [Right] Architecture details of the Residual Adapter modules. For more details please see our paper.
Putting all of these elements together, our multilingual model outperforms all the single-language recognizers, with especially large improvements in data-scarce languages like Kannada and Urdu. Moreover, since it is a streaming E2E model, it simplifies training and serving, and is also usable in low-latency applications like the Assistant. Building on this result, we hope to continue our research on multilingual ASRs for other language groups, to better assist our growing body of diverse users.

Acknowledgements
We would like to thank the following for their contribution to this research: Tara N. Sainath, Eugene Weinstein, Bo Li, Shubham Toshniwal, Ron Weiss, Bhuvana Ramabhadran, Yonghui Wu, Ankur Bapna, Zhifeng Chen, Seungji Lee, Meysam Bastani, Mikaela Grace, Pedro Moreno, Yanzhang (Ryan) He, Khe Chai Sim.

Instagram launches a ‘creators’ account to encourage more… creation


Instagram deployed a new tool today that should help it continue to build a more viable alternative to YouTube for individual creators looking to try a different platform. It’s a dedicated account called @creators, which will deliver tips and tricks for people hoping to become more active on the platform.

Based on the pinned FAQ story that Instagram has posted to the account, and a brief explainer with some testimonials from actual creators using the platform. Some of the questions that Instagram answers include how to get Verified, which must be asked so incredibly frequently by this particular set of folks.

The grid posts of @creators include some helpful tips like pointing out that 60% of people listen to stories on the platform with the sound on. Clearly, the account is geared towards pushing video creation tips and tools, which makes sense given that’s an area of growth for the company, and a way for it to win over disaffected YouTubers and younger creators who are looking for their new home on the web.

This could be a huge potential opportunity for Instagram, in fact, and this account, while a small part of an overall approach to wooing creators, is a good one.


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SmartNews’ head of product on how the news discovery app wants to free readers from filter bubbles


Since launching in the United States five years ago, SmartNews, the news aggregation app that recently hit unicorn status, has quietly built a reputation for presenting reliable information from a wide range of publishers. The company straddles two very different markets: the U.S. and its home country of Japan, where it is one of the leading news apps.

SmartNews wants readers to see it as a way to break out of their filter bubbles, says Jeannie Yang, its senior vice president of product, especially as the American presidential election heats up. For example, it recently launched a feature, called “News From All Sides,” that lets people see how media outlets from across the political spectrum are covering a specific topic.

The app is driven by machine-learning algorithms, but it also has an editorial team led by Rich Jaroslovsky, the first managing editor of WSJ.com and founder of the Online News Association. One of SmartNews’ goal is to surface news that its users might not seek out on their own, but it must balance that with audience retention in a market that is crowded with many ways to consume content online, including competing news aggregation apps, Facebook and Google Search.

In a wide-ranging interview with Extra Crunch, Yang talked about SmartNews’ place in the media ecosystem, creating recommendation algorithms that don’t reinforce biases, the difference between its Japanese and American users and the challenges of presenting political news in a highly polarized environment.

Catherine Shu: One of the reasons why SmartNews is interesting is because there are a lot of news aggregation apps in America, but there hasn’t been one huge breakout app like SmartNews is in Japan or Toutiao in China. But at the same time, there are obviously a lot of issues in the publishing and news industry in the United States that a good dominant news app might be able to help, ranging from monetization to fake news.

Jeannie Yang: I think that’s definitely a challenge for everybody in the U.S. With SmartNews, we really want to see how we can help create a healthier media ecosystem and actually have publishers thrive as well. SmartNews has such respect for the publishers and the industry and we want to be good partners, but also really understand the challenges of the business model, as well as the challenges for users and thinking of how we can create a healthier ecosystem.


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Africa’s top mobile phone seller Transsion lists in Chinese IPO


Chinese mobile phone and device maker Transsion has listed in an IPO on Shanghai’s STAR Market, a Transsion spokesperson confirmed to TechCrunch. 

Headquartered in Shenzhen, Transsion is a top seller of smartphones in Africa under its Tecno brand. The company has also started to support venture funding of African startups.

Transsion issued 80 million A shares at an opening price of 35.15 yuan (≈ $5.00) to raise 2.8 billion yuan (or ≈ $394 million).

A shares are the common shares issued by mainland Chinese companies and are normally available for purchases only by mainland citizens. 

Transsion’s IPO prospectus is downloadable (in Chinese) and its STAR Market listing application is available on the Shanghai Stock Exchange’s website.

STAR is the Shanghai Stock Exchange’s new Nasdaq-style board for tech stocks that went live in July with some 25 companies going public.

Transsion plans to spend 1.6 billion yuan (or $227 million) of its STAR Market raise on building more phone assembly hubs, and around 430 million yuan ($62 million) on research and development, including a mobile phone R&D center in Shanghai, a company spokesperson said.

To support its African sales network, Transsion maintains a manufacturing facility in Ethiopia. The company recently announced plans to build an industrial park and R&D facility in India for manufacture of phones to Africa.

The IPO comes after Transsion announced its intent to go public and filed its first docs with the Shanghai Stock Exchange in April.

Listing on STAR Market puts Transsion on China’s new exchange — seen as an extension of Beijing’s ambition to become a hub for tech startups to raise public capital. Chinese regulators lowered profitability requirements for the STAR Market, which means pre-profit ventures can list.

China Star Market Opening July 2019 1

Transsion’s IPO comes when the company is actually in the black. The firm generated 22.6 billion yuan ($3.29 billion) in revenue in 2018, up from 20 billion yuan a year earlier. Net profit for the year slid to 654 million yuan, down from 677 million yuan in 2017, according to the firm’s prospectus.

Transsion sold 124 million phones globally in 2018, per company data. In Africa, Transsion holds 54% of the feature phone market — through its brands Tecno, Infinix and Itel — and in smartphone sales is second to Samsung and before Huawei, according to International Data Corporation stats.

Transsion has R&D centers in Nigeria and Kenya and its sales network in Africa includes retail shops in Nigeria, Kenya, Tanzania, Ethiopia and Egypt. The company also attracted attention for being one of the first known device makers to optimize its camera phones for African complexions.

On a 2019 research trip to Addis Ababa, TechCrunch learned the top entry-level Tecno smartphone was the W3, which lists for 3,600 Ethiopian Birr, or roughly $125.

In Africa, Transsion’s ability to build market share and find a sweet spot with consumers on price and features gives it prominence in the continent’s booming tech scene.

Africa already has strong mobile-phone penetration, but continues to undergo a conversion from basic USSD phones, to feature phones, to smartphones.

Smartphone adoption on the continent is low, at 34%, but expected to grow to 67% by 2025, according to GSMA.

This, added to an improving internet profile, is key to Africa’s tech scene. In top markets for VC and startup origination — such as Nigeria, Kenya and South Africa — thousands of ventures are building business models around mobile-based products and digital applications.

If Transsion’s IPO enables higher smartphone conversion on the continent, that could enable more startups and startup opportunities — from fintech to VOD apps.

Another interesting facet to Transsion’s IPO is its potential to create greater influence from China in African tech, in particular as the Shenzhen company moves more definitely toward venture investing.

In August, Transsion-funded Future Hub teamed up with Kenya’s Wapi Capital to source and fund early-stage African fintech startups.

China’s engagement with African startups has been light compared to China’s deal-making on infrastructure and commodities — further boosted in recent years as Beijing pushes its Belt and Road plan.

Transsion’s IPO is the second event this year — after Chinese owned Opera’s venture spending in Nigeria — to reflect greater Chinese influence and investment in the continent’s digital scene.

So in coming years, China could be less known for building roads and bridges in Africa and more for selling smartphones and providing VC for African startups.


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Art that explores time and memory | Sarah Sze

Art that explores time and memory | Sarah Sze

Artist Sarah Sze takes us on a kaleidoscopic journey through her work: immersive installations as tall as buildings, splashed across walls, orbiting through galleries -- blurring the lines between time, memory and space. Explore how we give meaning to objects in this beautiful tour of Sze's experiential, multimedia art.

Click the above link to download the TED talk.

Spotify now lets you add podcasts to playlists


Spotify this morning announced a new feature that will allow users to add their podcasts to playlists. With the addition, users can create their own custom playlists of their favorite podcasts, or even those that combine music and audio — similar to Spotify’s own newly-launched “Your Daily Drive.”

With “Your Daily Drive,” Spotify put its personalization engine to work to combine both music and news from select sources. But with the ability to now build your own podcast-filled playlists, you won’t have to rely on Spotify’s curation as much.

Instead, you can build your own podcast playlists by tapping the three-dot menu to the right of the podcast episode and then “Add to playlist.” You can either choose to add it a playlist you’ve already created, or you can build a new one from scratch. You can continue to add more content to this playlist, including music, if you prefer.

The company says this functionality is something users have regularly requested since the integration of podcasts to its streaming music service. However, it’s not necessarily the easiest way to tune into the latest episodes of your favorite programs as it involves manual curation.

Many podcasts release new episodes every week or so — and don’t want to get stuck constantly building playlists for those. Instead, the feature makes more sense for curating a set of podcasts around a theme, or preparing yourself to binge your way through a few programs on a long commute or road trip, for example.

Spotify says today there are over 3 billion user-generated music playlists on its service, so it believes that its users will embrace this new curation ability, as well.

Once a podcast playlist has been created, it can be shared with friends or the public, just like music playlists can be. This could make for an interesting marketing tool for podcasters, who could put together playlists of their best episodes or those with high-profile guest stars, for example, as a way to introduce newcomers to their shows. But it could also serve as a way for friends to recommend their favorite shows to others, by putting together a list of their all-time favorite episodes.

For those interested in tracking news and entertainment, they could build playlists of podcast episodes from different sources all focused on the same topic. For instance, a playlist offering everyone’s reviews of the new iPhone.

Over the past year or so, Spotify has heavily invested in the podcast market, including through acquisitions like GimletParcast, and Anchor — as well as in its programming, like the deal with Barack and Michelle Obama’s production company, Higher Ground, for instance, and a quickly-growing number of exclusives, windowed-exclusives, and originals. It also hired former Condé Nast president of entertainment Dawn Ostroff to lead its content efforts.

Today, Spotify says it has “hundreds of thousands” of podcasts available to stream on its platform.

The new podcast playlist-building feature is mobile-only for now. On desktop, you can only stream the playlists you made, but can’t build them yet, Spotify says.


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Kickstarter darling EcoFlow Delta battery generator is not what it seems


The Delta EcoFlow is a new battery generator available on Kickstarter with incredible claimed features. Most are true, some are not.

Device like the Delta offer incredible battery storage capacity. Designed for more than just recharging phones and tablets, these can run refrigerators, pumps, power tools and medical equipment. They’re great for emergencies, camping and general use where power is not available. Similar devices have been on the market for some years so I was eager to verify EcoFlow’s claims.

The EcoFlow Delta can recharge from a wall outlet to 80% in an hour. It’s amazing. The GoalZero Yeti battery of a similar size takes 25 hours. This capability means the Delta can be used and then reused more than competitors.

The device is currently on Kickstarter where it quickly acquired over $2 million from over 2,000 backers. The device’s features listed on the Kickstarter page are clear, but after testing a pre-production unit, I found several of these advertised capabilities and features misleading or false.

The Delta is the latest product from EcoFlow. The company’s founder, Eli Harris, says it’s “The world’s strongest battery generator.” I found the Delta to be a competent battery generator with similar capabilities to competitors but it’s hampered by loud fans.

In short, if you need a battery generator that can recharge much faster than others, the Delta is a great option. Otherwise, the GoalZero Yeti makes more sense for most people.

Battery generators are a safe and more portable option than their gas counterparts. There are no harmful fumes or fuel allowing them to be used indoors, nearer the appliances or tools. Most often (though not with the Delta) they’re silent, too, making them perfect for a camping or hunting companion.

In real-world operation, this quick recharge time could come in handy. Say, on a construction site or in an emergency incident where power is still available, but out of reach of an extension cord — situations where loud gas generators are generally used. While the Delta is louder than other battery generators, it is not as loud as a gas generator.

The Delta battery comes packaged with a warning that the battery must be fully charged before use. I generally ignore warnings, but I followed this one and immediately plugged it in. Instantly, fans whirled to life and the screen popped on displaying the current charge levels and how long it would take to get to 100%. The Delta was at 30% and would take 45 minutes to fully recharge. It worked as advertised and 45 minutes later the battery was at 100%.

Recharging the Delta battery was a noisy affair. The fans are loud and continue to run after the battery is fully charged. Compared to a GoalZero Yeti, this was a shock. The Yeti is silent where the Delta is not. I keep a Yeti 1400 in my basement, plugged in and ready to use. But with the Delta, even when the battery is fully charged, loud fans still run presumably to keep the unit cool. EcoFlow says the shelf life on the Delta is over a year where the GoalZero Yeti is six months. To me, I would rather have the battery constantly plugged into power so I know it’s ready to go when needed.

The Delta recharges without an AC power inverter (a power brick); it uses the same sort of cable as a desktop PC. The company says by passing through the inverter directly, the Delta can increase charging speed to more than 10 times the traditional AC to DC adapter cable. This also means it’s easier to replace a lost charging cable.

The Delta is much lighter than competing products and its design makes it easier to move. EcoFlow says it’s rugged, and it feels the part. Even my pre-production sample feels tough and ready to go to work. Large rubber pads keep the battery in place and the tough plastic feels more durable than competing products.

There are a handful of plugs and outlets around the device, including USB, USB-C and six AC outlets. It’s a lot and similar in capacity to large gas generators. Most battery generators have much fewer AC outlets, though I’ve often supplemented the capability with small power strips.

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Kickstarter Beware

The Delta is currently on Kickstarter for pre-order and exceeded its goal. I fear a good amount of backers will be upset to learn several notable advertised features are false or misleading.

The Delta is not silent. Under operation, either recharging a cell phone or running a power tool, loud fans run on both sides of the battery. These fans run when recharging the battery, too — even when the battery is fully charged. The Kickstarter page and video lists throughout that the Delta produces no noise.

ecoflow delta

These fans detract from the appeal of the Delta battery. They’re loud. You have to raise your voice to speak over them. Because of these fans, I wouldn’t take the Delta camping or use it in the backyard for a quiet get-together. During power outage situations, I wouldn’t want to sleep near it. But I would use it for power tools — like EcoFlow does in one of its demo videos.

Only one of the four videos on the Kickstarter page allows potential owners to hear the Delta battery. The third video on the page shows the battery powering a hammer drill. Six seconds into the video, the drill stops running, and the battery’s fans are audible.

There are a handful of competing batteries that operate without noisy fans. I’ve taken GoalZero’s Yeti batteries camping and they’re great despite their heft. They’re truly silent and can still recharge from solar panels and car batteries. I’ve used battery generators from Jackery, too, and those are also silent.

I spoke with Ecoflow CEO and Founder Eli Harris during the run-up of this review. He was clear that Ecoflow’s main competitor is not other large batteries, but rather small gas generators available from Honda and others. And that makes a lot of sense. Those are the best selling generators available and widely used for emergency and convenience. These small generators are loud, and the Ecoflow Delta is quieter than those options while still offering most of the power capabilities.

When asked why the Kickstarter page is misleading, he said “that fallacy has never been called out” and he would check with his team about the use of “superlatives and blanket statements.” Three days later, the Kickstarter page still lists the false claims.

EcoFlow claims the Delta battery can run a variety of power tools, including drills, circular saws, power washers and welders. I found this capability hit or miss. Despite some tools being under the claimed amperage and wattage of the Delta battery, the battery wouldn’t power my small or large circular saw or power washer. EcoFlow also claims the battery can recharge a Tesla; it doesn’t recharge my Chevy Volt.

Many tools require extra power when starting up, and I found most of these surge requirements to exceed the capabilities of the Delta battery. This is the same with other batteries like the GoalZero Yeti. In fact, I couldn’t find one tool in my workshop that the Delta powered and the Yeti did not; they worked the same for me, and I have a lot of tools.

Don’t mistake what I’m saying. The EcoFlow Delta has impressive capabilities mainly around its recharge capabilities. This makes it an attractive option for the right use. It’s compact and solid. It has a lot of outlets and is easy to move. This could be a lifesaver in emergency situations where a person still has access to power.

The Delta has some downsides just like other battery generators. It doesn’t offer a dramatic increase in electrical output over competitors so don’t expect this battery to power larger devices. Don’t expect a silent operation, either. This massive battery is loud though, I admit, that’s a relative term. It’s louder than other battery generators but less loud than a gas generator.

I would rather have a silent battery generator that recharges slowly versus a noisy, fast-recharging battery. I use my battery generators camping and around the house when the power goes out. The Delta makes sense on a construction site or on the scene of a natural disaster. I just can’t get over the loud fans.


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