Connect with us

Uncategorized

How Bitcoin is helping middle-class users survive the pandemic

Published

on

Regulators may still want to imply Bitcoin is merely a tool for criminals, but for many middle-class users, it’s proving to be a lifeline.

Even as politicians like European Central Bank President Christine Lagarde criticize cryptocurrency for providing “loopholes” used for “funny business,” people like Saeed, an Iranian immigrant to France, see cryptocurrency as a necessity, because of the difficulty using mainstream financial systems.

Until 2020, Saeed, who asked to be identified only by his first name, was a software engineer in Iran whose salary barely reached €300 due to rampant inflation. In 2017, he started freelancing for international clients that paid him in Bitcoin. By September 2020, he’d finally saved enough Bitcoin to go to graduate school in France. However, the pandemic made his immigration process much harder.

“I passed all that strange bureaucracy and to get to a course in France last September, with only €1,000 in my pocket,” Saeed said. “HSBC, Banque Nationale de Paris, La Banque Postale, all rejected me, declining to open a bank account. I finally found a bank after a month.”

In the meantime, Saeed used Bitcoin. He is exactly the type of person who benefits from “loopholes” in the traditional banking system.

“Many people in Iran are working with European tech companies,” Saeed said. “Maybe I can’t buy Bitcoin directly from the exchange because of my nationality.”

Saeed thinks Lagarde represents bankers’ and government interests, not average citizens, who are happy to work with him. He said stricter regulations would make his access to the financial system more time-consuming and expensive, because he’d have to pay friends and colleagues to transact on his behalf. However, Iranian migrants are hardly the sole user group relying on Bitcoin during the pandemic.

In the United Kingdom, a British expat named Paul found himself trapped in London when flights back to his Asian country of residence got canceled. Due to tight capital controls in his former country, and the challenges of repatriation during constant lockdowns, Paul was living in between regulatory systems.

“I closed down the business [in Asia] just before the pandemic started. My father passed away and it was difficult to continue my company,” Paul said. “I was in hotels and Airbnbs for weeks and didn’t have a residential address…without Bitcoin I would have been locked out of cash. I could only take money out of the ATM for a certain number of months because it’s limited to holidays.”

Luckily, Paul had a little Bitcoin from earlier that year. Unlike Saeed, he didn’t feel comfortable with the technical aspects, but he learned quickly. He used Bitcoin to buy gift cards for groceries, phone bills, hotels and Uber, plus paid a friend back in Asia to help wrap up his apartment and put things in storage.

“I think it was generally a bad idea but, at least with Brexit, thank god we won’t be subject to whatever Lagarde does,” Paul said, adding that regulation can be beneficial if it avoids restrictions for people who don’t have banking access.

Today, almost a year later, Paul still doesn’t have access to most of his financial accounts. Instead, he downloaded Monzo, a banking app that uses passports for identity verification instead of residential addresses. He pays friends in London to deposit to his Monzo account.

“It becomes really convoluted. I primarily use crypto because it’s easier,” Paul said. “One of my friends is a student from Nigeria and had a similar experience. He used Bitcoin to pay his school fees… I’ve been at my current residence for a couple of months, so I would be able to finally open a bank account. But now I don’t really see the need, especially with the news of negative interest rates.”

Meanwhile, the fiat-denominated price of Bitcoin surged over the past six months. This provided Saeed and Paul both with a little extra capital to spend time figuring out what they want to do next. For Saeed, does it make sense to do the graduate program online, with fewer networking benefits and hands-on experiences (the reason he came to France)? How does Paul move forward with his career now that his family business closed and his sector (music marketing) is in shambles? 

Buying Bitcoin could be considered a form of gambling. Indeed, many middle-class hobbyist traders accrued life-changing amounts of wealth over the past year, usually by experimenting with risky software. For people like Paul and Saeed, who generally avoid experimental trades and lack alternative investment options, Bitcoin’s price appreciation is helping them get through a period of abysmal job markets and intermittent lockdowns. People don’t need to live in a dictatorship or a country suffering from high inflation to benefit from Bitcoin. I would know; I’m one of them. 

Like many people during the pandemic, my living situation changed dramatically and I initially couldn’t work full-time from home. I was lucky to sell a few poems in exchange for cryptocurrency, usually via direct messages and Bitcoin wallets or as digital collectibles through collaborations with tech-savvy artists. Then the bull market surged again, sending those meager earnings high enough to cover some of my bills. A valet worker and student in Kansas named Hess had a similar experience. 

Quarantine helped kill his relationship of six years and he found himself needing to move out. He put his savings into Bitcoin during spring 2020, so that by December he was able to move out.

“COVID hit and I was out of steady work for four months,” Hess said. “Honestly, if it wasn’t for my decision to basically throw 70% of my net worth into Bitcoin, I don’t think I would be in as good of a place mentally and financially.”

To be clear, that is an extremely risky financial move and I would not advise it as a first resort. Yet, for many people experiencing unexpected change due to COVID-19, Bitcoin has become the lifeline it was for Hess.

Over the past year, Bitcoin donations may have gained popularity with several American communities, including some of the extremist groups involved with storming Capitol Hill. Incoming Treasury Secretary Janet Yellen echoed Lagarde’s concerns about Bitcoin being used for criminal activities.

However, so far, the analytics company Chainalysis estimates such donations add up to roughly $522,000. These numbers might also be compared to the cumulative totals managed by other subjects referenced in this article. For yet another lawful example, Lawrence Douglas, a former operations director at an event security company in California, lost his job as a result of the pandemic.

“Cash App pretty much changed my financial life,” Douglas said. “Bitcoin prices during the calendar year of 2020 provided me with lots of wiggle room, while I currently search for a new job.”

As an unemployed Black man, he was statistically less likely to have connections who could help him learn about stocks or precious metals, for example. He said Bitcoin, comparatively, has a “low barrier to entry.” In April 2020, he turned his stimulus check into a little Bitcoin nest egg. By November, he was utilizing a strategy called dollar-cost averaging, routinely buying small amounts of Bitcoin.

Douglas, like Paul, first bought cryptocurrency during the pandemic. On the other hand, when I interviewed more than a dozen Bitcoin users across Europe and North America for this article, most of them were crypto veterans who said Bitcoin gave them “peace” during the year-long crisis. Anesthesiologist Quentin Lobb, for example, said “bottom line, our net worth grew tremendously in 2020, thanks to Bitcoin. It has provided a pleasant and exciting sense of financial security.”

Yet another crypto veteran, Texas real estate agent broker Brandon Arnold, said the national political and economic situation was more “mentally taxing than ever before.” Against that backdrop, controlling a fraction of his own wealth gives him a sense of security. The price appreciation helps too, to be sure, though it’s not why Bitcoin is now so popular with middle-class users.

“If I factor in the risk of not having access to my capital, the price volatility doesn’t really matter,” Paul said. “As long as the price of Bitcoin doesn’t go to zero, it’s still more useful for me than the other options available.”

 

Lyron Foster is a Hawaii based African American Musician, Author, Actor, Blogger, Filmmaker, Philanthropist and Multinational Serial Tech Entrepreneur.

Continue Reading
Comments

Uncategorized

Personal skin problems leads founder to launch skincare startup Nøie, raises $12M Series A

Published

on

Inspired by his own problems with skin ailments, tech founder Daniel Jensen decided there had to be a better way. So, using an in-house tech platform, his Copenhagen-based startup Nøie developed its own database of skin profiles, to better care for sensitive skin.

Nøie has now raised $12m in a Series A funding round led by Talis Capital, with participation from Inventure, as well as existing investors including Thomas Ryge Mikkelsen, former CMO of Pandora, and Kristian Schrøder Hart-Hansen, former CEO of LEO Pharma’s Innovation Lab.

Nøie’s customized skincare products target sensitive skin conditions including acne, psoriasis and eczema. Using its own R&D, Nøie says it screens thousands of skincare products on the market, selects what it thinks are the best, and uses an algorithm to assign customers to their ‘skin family’. Customers then get recommendations for customized products to suit their skin.

Skin+Me is probably the best-known perceived competitor, but this is a prescription provider. Noie is non-prescription.

Jensen said: “We firmly believe that the biggest competition is the broader skincare industry and the consumer behavior that comes with it. I truly believe that in 2030 we’ll be surprised that we ever went into a store and picked up a one-size-fits-all product to combat our skincare issues, based on what has the nicest packaging or the best marketing. In a sense, any new company that emerges in this space are peers to us: we’re all working together to intrinsically change how people choose skincare products. We’re all demonstrating to people that they can now receive highly-personalized products based on their own skin’s specific needs.”

Of his own problems to find the right skincare provider, he said: “It’s just extremely difficult to find something that works. When you look at technology, online, and all our apps and everything, we got so smart in so many areas, but not when it comes to consumer skin products. I believe that in five or 10 years down the line, you’ll be laughing that we really used to just go in and pick up products just off the shelf, without knowing what we’re supposed to be using. I think everything we will be using in the bathroom will be customized.”

Beatrice Aliprandi, principal at Talis Capital, said: “For too long have both the dermatology sector and the skincare industry relied on the outdated ‘one-size-fits-all’ approach to addressing chronic skin conditions. By instead taking a data-driven and community feedback approach, Nøie is building the next generation of skincare by providing complete personalization for its customers at a massive scale, pioneering the next revolution in skincare.”

Continue Reading

Uncategorized

Comms expert and VC Caryn Marooney will detail how to get attention at TC Early Stage

Published

on

We’re thrilled to announce Caryn Marooney is speaking at our upcoming TechCrunch Early Stage virtual event in July. She spoke with us last year and we had to have her back.

Just look at her resume. She was the co-founder and CEO of The Outcast Agency, one of Silicon Valley’s best-regarded public relations firms. She left her company to serve as VP of Global Communication at Facebook, which she did for eight years, overseeing communication for Facebook, Instagram, WhatsApp and Oculus. In 2019 she joined Coatue Management as a general partner, where she went on to invest in Startburst, Supabase, Defined Networks and others.

Needless to say, Marooney is one of the Valley’s experts on getting people’s attention — a skill that’s critical when running a startup, nonprofit or school bake sale.

She said it best last year: “People just fundamentally aren’t walking around caring about this new startup — actually, nobody does.” So how do you get people to care? That’s the trick and why we’re having her back to speak on this evergreen topic.

Watch her presentation from 2020 here. It’s fantastic.

One of the great things about TC Early Stage is that the show is designed around breakout sessions, with each speaker leading a chat around a specific startup core competency (like fundraising, designing a brand, mastering the art of PR and more). Moreover, there is plenty of time for audience Q&A in each session.

Pick up your ticket for the event, which goes down July 8 and 9, right here. And if you do it today, you’ll save a cool $100 off of your registration.


 

Continue Reading

Uncategorized

Lightmatter’s photonic AI ambitions light up an $80M B round

Published

on

AI is fundamental to many products and services today, but its hunger for data and computing cycles is bottomless. Lightmatter plans to leapfrog Moore’s law with its ultra-fast photonic chips specialized for AI work, and with a new $80M round the company is poised to take its light-powered computing to market.

We first covered Lightmatter in 2018, when the founders were fresh out of MIT and had raised $11M to prove that their idea of photonic computing was as valuable as they claimed. They spent the next three years and change building and refining the tech — and running into all the hurdles that hardware startups and technical founders tend to find.

For a full breakdown of what the company’s tech does, read that feature — the essentials haven’t changed.

In a nutshell, Lightmatter’s chips perform certain complex calculations fundamental to machine learning in a flash — literally. Instead of using charge, logic gates, and transistors to record and manipulate data, the chips use photonic circuits that perform the calculations by manipulating the path of light. It’s been possible for years, but until recently getting it to work at scale, and for a practical, indeed a highly valuable purpose has not.

Prototype to product

It wasn’t entirely clear in 2018 when Lightmatter was getting off the ground whether this tech would be something they could sell to replace more traditional compute clusters like the thousands of custom units companies like Google and Amazon use to train their AIs.

“We knew in principle the tech should be great, but there were a lot of details we needed to figure out,” CEO and co-founder Nick Harris told TechCrunch in an interview. “Lots of hard theoretical computer science and chip design challenges we needed to overcome… and COVID was a beast.”

With suppliers out of commission and many in the industry pausing partnerships, delaying projects, and other things, the pandemic put Lightmatter months behind schedule, but they came out the other side stronger. Harris said that the challenges of building a chip company from the ground up were substantial, if not unexpected.

A rack of Lightmatter servers.

Image Credits: Lightmatter

“In general what we’re doing is pretty crazy,” he admitted. “We’re building computers from nothing. We design the chip, the chip package, the card the chip package sits on, the system the cards go in, and the software that runs on it…. we’ve had to build a company that straddles all this expertise.”

That company has grown from its handful of founders to more than 70 employees in Mountain View and Boston, and the growth will continue as it brings its new product to market.

Where a few years ago Lightmatter’s product was more of a well-informed twinkle in the eye, now it has taken a more solid form in the Envise, which they call a ‘general purpose photonic AI accelerator.” It’s a server unit designed to fit into normal datacenter racks but equipped with multiple photonic computing units, which can perform neural network inference processes at mind-boggling speeds. (It’s limited to certain types of calculations, namely linear algebra for now, and not complex logic, but this type of math happens to be a major component of machine learning processes.)

Harris was reticent to provide exact numbers on performance improvements, but more because those improvements are increasing than that they’re not impressive enough. The website suggests it’s 5x faster than an NVIDIA A100 unit on a large transformer model like BERT, while using about 15 percent of the energy. That makes the platform doubly attractive to deep-pocketed AI giants like Google and Amazon, which constantly require both more computing power and who pay through the nose for the energy required to use it. Either better performance or lower energy cost would be great — both together is irresistible.

It’s Lightmatter’s initial plan to test these units with its most likely customers by the end of 2021, refining it and bringing it up to production levels so it can be sold widely. But Harris emphasized this was essentially the Model T of their new approach.

“If we’re right, we just invented the next transistor,” he said, and for the purposes of large-scale computing, the claim is not without merit. You’re not going to have a miniature photonic computer in your hand any time soon, but in datacenters, where as much as 10 percent of the world’s power is predicted to go by 2030, “they really have unlimited appetite.”

The color of math

A Lightmatter chip with its logo on the side.

Image Credits: Lightmatter

There are two main ways by which Lightmatter plans to improve the capabilities of its photonic computers. The first, and most insane sounding, is processing in different colors.

It’s not so wild when you think about how these computers actually work. Transistors, which have been at the heart of computing for decades, use electricity to perform logic operations, opening and closing gates and so on. At a macro scale you can have different frequencies of electricity that can be manipulated like waveforms, but at this smaller scale it doesn’t work like that. You just have one form of currency, electrons, and gates are either open or closed.

In Lightmatter’s devices, however, light passes through waveguides that perform the calculations as it goes, simplifying (in some ways) and speeding up the process. And light, as we all learned in science class, comes in a variety of wavelengths — all of which can be used independently and simultaneously on the same hardware.

The same optical magic that lets a signal sent from a blue laser be processed at the speed of light works for a red or a green laser with minimal modification. And if the light waves don’t interfere with one another, they can travel through the same optical components at the same time without losing any coherence.

That means that if a Lightmatter chip can do, say, a million calculations a second using a red laser source, adding another color doubles that to two million, adding another makes three — with very little in the way of modification needed. The chief obstacle is getting lasers that are up to the task, Harris said. Being able to take roughly the same hardware and near-instantly double, triple, or 20x the performance makes for a nice roadmap.

It also leads to the second challenge the company is working on clearing away, namely interconnect. Any supercomputer is composed of many small individual computers, thousands and thousands of them, working in perfect synchrony. In order for them to do so, they need to communicate constantly to make sure each core knows what other cores are doing, and otherwise coordinate the immensely complex computing problems supercomputing is designed to take on. (Intel talks about this “concurrency” problem building an exa-scale supercomputer here.)

“One of the things we’ve learned along the way is, how do you get these chips to talk to each other when they get to the point where they’re so fast that they’re just sitting there waiting most of the time?” said Harris. The Lightmatter chips are doing work so quickly that they can’t rely on traditional computing cores to coordinate between them.

A photonic problem, it seems, requires a photonic solution: a wafer-scale interconnect board that uses waveguides instead of fiber optics to transfer data between the different cores. Fiber connections aren’t exactly slow, of course, but they aren’t infinitely fast, and the fibers themselves are actually fairly bulky at the scales chips are designed, limiting the number of channels you can have between cores.

“We built the optics, the waveguides, into the chip itself; we can fit 40 waveguides into the space of a single optical fiber,” said Harris. “That means you have way more lanes operating in parallel — it gets you to absurdly high interconnect speeds.” (Chip and server fiends can find that specs here.)

The optical interconnect board is called Passage, and will be part of a future generation of its Envise products — but as with the color calculation, it’s for a future generation. 5-10x performance at a fraction of the power will have to satisfy their potential customers for the present.

Putting that $80M to work

Those customers, initially the “hyper-scale” data handlers that already own datacenters and supercomputers that they’re maxing out, will be getting the first test chips later this year. That’s where the B round is primarily going, Harris said: “We’re funding our early access program.”

That means both building hardware to ship (very expensive per unit before economies of scale kick in, not to mention the present difficulties with suppliers) and building the go-to-market team. Servicing, support, and the immense amount of software that goes along with something like this — there’s a lot of hiring going on.

The round itself was led by Viking Global Investors, with participation from HP Enterprise, Lockheed Martin, SIP Global Partners, and previous investors GV, Matrix Partners and Spark Capital. It brings their total raised to about $113 million; There was the initial $11M A round, then GV hopping on with a $22M A-1, then this $80M.

Although there are other companies pursuing photonic computing and its potential applications in neural networks especially, Harris didn’t seem to feel that they were nipping at Lightmatter’s heels. Few if any seem close to shipping a product, and at any rate this is a market that is in the middle of its hockey stick moment. He pointed to an OpenAI study indicating that the demand for AI-related computing is increasing far faster than existing technology can provide it, except with ever larger datacenters.

The next decade will bring economic and political pressure to rein in that power consumption, just as we’ve seen with the cryptocurrency world, and Lightmatter is poised and ready to provide an efficient, powerful alternative to the usual GPU-based fare.

As Harris suggested hopefully earlier, what his company has made is potentially transformative in the industry and if so there’s no hurry — if there’s a gold rush, they’ve already staked their claim.

Continue Reading

Trending