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Computing

Illustration of a fiber membrane removing heat from an electronic chip through evaporation
Gaming Gear

New passive cooling approach from UC San Diego uses capillary evaporation to reduce heat in computing environments

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  • Evaporative cooling, like sweating, could reduce energy use in data centers
  • New fiber membrane handles heat with zero added energy use
  • Researchers retool filtration material to cool electronics passively

As AI and cloud computing grow, the rising demand for data processing is driving up heat output, with cooling already making up nearly 40% of a data center’s energy use and projected to more than double worldwide by 2030.

Researchers at the University of California San Diego have developed a new cooling technology that mimics the way animals regulate body temperature… through sweating.

The passive system removes heat from electronics using evaporation, offering a potential alternative to traditional cooling methods in data centers and other high-powered computing environments.


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Finding the “sweet spot”

The core of the system is a fiber membrane with a network of tiny, interconnected pores that use capillary action to draw cooling liquid across the surface.

As the liquid evaporates, it efficiently removes heat without requiring extra energy.

“Compared to traditional air or liquid cooling, evaporation can dissipate higher heat flux while using less energy,” said Renkun Chen, a professor in the Department of Mechanical and Aerospace Engineering at UC San Diego. Chen co-led the project with professors Shengqiang Cai and Abhishek Saha.

The research was published in the journal Joule, explaining how Chen’s team, including Ph.D. student Tianshi Feng and postdoctoral researcher Yu Pei, tested the membrane under variable heat conditions.

It handled over 800 watts per square centimeter of heat, a record for this type of cooling system. It also performed consistently over several hours.

Traditional porous membranes have often failed due to clogging or boiling. Chen explained that the team found a “sweet spot” with the membrane’s pore size and structure.

“These fiber membranes were originally designed for filtration, and no one had previously explored their use in evaporation,” said Chen. “We recognized that their unique structural characteristics – interconnected pores and just the right pore size – could make them ideal for efficient evaporative cooling. What surprised us was that, with the right mechanical reinforcement, they not only withstood the high heat flux–they performed extremely well under it.”

The researchers believe the membrane is still operating below its full potential.

They are now refining the design and working on ways to integrate it into cold plates, flat devices used to cool chips like CPUs and GPUs.

The group is also preparing to commercialize the technology through a startup. Their goal is to provide scalable, low-energy cooling solutions as global data demand continues to grow.

Via Tech Xplore

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GameFi Guides

How Will Bitcoin Defend Against Quantum Computing? This Project Just Raised $6M

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In brief

  • Project 11 has raised $6 million to protect Bitcoin’s network from quantum computing.
  • Quantum computing is a new type of technology which has not yet been released.
  • Still, some in the crypto space worry that it will one day be able to break Bitcoin’s cryptography.

A startup has raised $6 million in a seed round to protect Bitcoin from quantum computing. 

Project 11, which focuses on quantum computing’s hypothetical threat to the leading crypto network, announced the raise Thursday, which was co-led by Variant and Quantonation, and included participation from venture capital firms Castle Island Ventures, Nebular, and Formation. 

The firm said that quantum computing is a threat to Bitcoin so “every wallet, every account holder, every smart contract key—all of it—must upgrade to new, quantum-safe cryptography.”

“A cryptographically relevant quantum computer will break the foundational security assumptions of Bitcoin and nearly every digital asset,” Project 11 said in a statement.

“With rapid progress from companies like IBM and Google, that future is no longer hypothetical. It’s coming fast and there isn’t long to prepare.”

Quantum computing is a new type of technology that uses quantum physics to process far larger amounts of information than classical machines.

Such computers aren’t available to the public yet and top tech companies like Google and IBM are working on developing them. 

But some in the crypto space have raised concerns that as tech giants make bigger strides to releasing a quantum computer, Bitcoin’s cryptography could be cracked. 

The Bitcoin network is currently the world’s most secure computing network—and has never been hacked. 

In order to crack the network’s cryptography, a bad actor would have to take control of more than 50% of the Bitcoin network, which would require a huge amount of computing power. 



Hardcore Bitcoiners like Strategy co-founder and chairman Michael Saylor have shrugged off concerns about quantum computing, saying that when such a threat exists, other computing networks—used by the likes of banking giants or the U.S. military—will face a bigger risk. 

“I don’t worry about it,” he said. “Microsoft and Google market their quantum projects, but they would never sell a quantum computer that cracked cryptography, because it would destroy their own companies.”

Bitcoin was recently trading at about $104,250, roughly flat over the past 24 hours. 

Edited by James Rubin

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JuCoin launches new feature that turns trading losses into computing power
NFT Gaming

JuCoin launches new feature that turns trading losses into computing power

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Trading platform JuCoin has introduced a new feature that can turn trader losses that reach more than 500 USDT into computing power.

The new JuCoin feature is called the “Contract Guardian Program is scheduled for a live launch on the platform starting from June 16 2025 at 00:00 UTC+8. Once it is activated, users that incur trading losses that reach a minimum of 500 USDT (USDT) and a maximum of 50,000 USDT will be able automatically receive computing power equal to their losses on a 1:1 ratio.

This means that if a user experiences an accumulates trading loss that amounts to 1,500 USDT, then the user will automatically receive 1,500 JU computing power as a subsidized reward.

”Computing power represents the production capacity within the JU ecosystem, which can generate continuous income instead of a one-time payment,” stated the exchange in its notice.

This means that overtime, the accumulated computing power will be able to continuously generate passive rewards in the form of JU tokens.

The platform assesses losses on a weekly basis every Monday at 00:00 UTC+8. The system calculates a user’s net realized profit and loss throughout the previous seven-day trading week. It takes into a account all closed positions, with the exception of handling fees and funding fees.

However, the exchange noted that this feature is only active during what it deems to be “loss trading cycles.” When users gain profits spanning weeks, balancing out the losses, then they will not receive computing power from previous losses. The system is designed this way to “ensure that successful transactions are fully rewarded.”

How to register for JuCoin’s protection plan?

In order to be eligible for the protection plan, users must complete the platform’s Know-Your-Customer verification for their JuCoin account. The exchange does not apply a minimum balance or other additional requirements.

”We intentionally keep the barrier to entry to a minimum because we believe that loss protection should be available to all serious traders,” stated the firm.

Users who make reservations in advance will share the JU computing power reward pool with a total value of 100,000 USDT. The higher the reservation ranking, the larger the allocation.

The reservation system adopts the principle of first come first served basis.

Most recently, JuCoin released its first Tether-based fixed income product with a tiered APY system. The offering includes six different terms—7, 15, 30, 45, 60, and 90 days—designed to cater to varying investor preferences.



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Big Brains, Tiny Models: Spain’s Multiverse Computing Bags $215M to Shrink AI for Smartphones
Crypto Trends

Big Brains, Tiny Models: Spain’s Multiverse Computing Bags $215M to Shrink AI for Smartphones

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In brief

  • Multiverse’s CompactifAI tech reportedly slashed parameter count by 70% and model memory by 93%, while preserving 97–98% accuracy.
  • The company just closed a $215M Series B round backed by Bullhound Capital, HP Tech Ventures, and Toshiba.
  • The method uses tensor networks from quantum physics to compress models and “heals” them with fast retraining, claiming 50% faster performance at inference.

A Spanish AI startup has just convinced investors to hand over $215 million based on a bold claim: they can shrink large language models by 95% without compromising their performance.

Multiverse Computing’s innovation hinges on its CompactifAI technology, a compression method that borrows mathematical concepts from quantum physics to shrink AI models down to smartphone size.

The San Sebastian company says that their compressed Llama-2 7B model runs 25% faster at inference while using 70% fewer parameters, with accuracy dropping just 2-3%.

If validated at scale, this could address AI’s elephant-sized problem: models so massive they require specialized data centers just to operate.

“For the first time in history, we are able to profile the inner workings of a neural network to eliminate billions of spurious correlations to truly optimize all sorts of AI models,” Román Orús, Multiverse’s chief scientific officer, said in a blog post on Thursday.

Bullhound Capital led the $215 million Series B round with backing from HP Tech Ventures and Toshiba.

The Physics Behind the Compression

Applying quantum-inspired concepts to tackle one of AI’s most pressing issues sounds improbable—but if the research holds up, it’s real.

Unlike traditional compression that simply cuts neurons or reduces numerical precision, CompactifAI uses tensor networks—mathematical structures that physicists developed to track particle interactions without drowning in data.

The process works like an origami for AI models: weight matrices get folded into smaller, interconnected structures called Matrix Product Operators.

Instead of storing every connection between neurons, the system preserves only meaningful correlations while discarding redundant patterns, like information or relationships that are repeated over and over again.

Multiverse discovered that AI models aren’t uniformly compressible. Early layers prove fragile, while deeper layers—recently shown to be less critical for performance—can withstand aggressive compression.

This selective approach lets them achieve dramatic size reductions where other methods fail.

After compression, models undergo brief “healing”—retraining that takes less than one epoch thanks to the reduced parameter count. The company claims this restoration process runs 50% faster than training original models due to decreased GPU-CPU transfer loads.

Long story short—per the company’s own offers—you start with a model, run the Compactify magic, and end up with a compressed version that has less than 50% of its parameters, can run at twice the inference speed, costs a lot less, and is just as capable as the original.

In its research, the team shows you can reduce the Llama-2 7B model’s memory needs by 93%, cut the number of parameters by 70%, speed up training by 50%, and speed up answering (inference) by 25%—while only losing 2–3% accuracy.

Traditional shrinking methods like quantization (reducing the precision like using fewer decimal places), pruning (cutting out less important neurons entirely, like trimming dead branches from a tree), or distillation techniques (training a smaller model to mimic a larger one’s behavior) are not even close to achieving these numbers.



Multiverse already serves over 100 clients including Bosch and Bank of Canada, applying their quantum-inspired algorithms beyond AI to energy optimization and financial modeling.

The Spanish government co-invested €67 million in March, pushing total funding above $250 million.

Currently offering compressed versions of open-source models like Llama and Mistral through AWS, the company plans to expand to DeepSeek R1 and other reasoning models.

Proprietary systems from OpenAI or Claude remain obviously off-limits since they are not available for tinkering or study.

The technology’s promise extends beyond cost savings measures. HP Tech Ventures’ involvement signals interest in edge AI deployment—running sophisticated models locally rather than cloud servers.

“Multiverse’s innovative approach has the potential to bring AI benefits of enhanced performance, personalization, privacy and cost efficiency to life for companies of any size,” Tuan Tran, HP’s President of Technology and Innovation, said.

So, if you find yourself running DeepSeek R1 on your smartphone someday, these dudes may be the ones to thank.

Edited by Josh Quittner and Sebastian Sinclair

Generally Intelligent Newsletter

A weekly AI journey narrated by Gen, a generative AI model.



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SpiNNaker2 computing core
Gaming Gear

Sandia’s secretive brain-like supercomputer promises next-level defense computing with no OS or internal storage

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  • SpiNNaker 2 supercomputer operates without disks or an operating system for unmatched speed
  • Sandia’s system uses 152 cores per chip to mimic the parallelism of the human brain
  • With 138,240 terabytes of DRAM, the SpiNNaker 2 relies entirely on memory speed

A new computing system modeled after the architecture of the human brain has been activated at Sandia National Laboratories in the US state of New Mexico.

Developed by Germany-based SpiNNcloud, the SpiNNaker 2 stands out not only for its neuromorphic design, but also for its radical absence of an operating system or internal storage.

Backed by the National Nuclear Security Administration’s Advanced Simulation and Computing program, the system marks a noteworthy development in the effort to use brain-inspired machines for national security applications.


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SpiNNaker 2 differs from conventional supercomputers

Unlike conventional supercomputers that rely on GPUs and centralized disk storage, the SpiNNaker 2 architecture is designed to function more like the human brain, using event-driven computation and parallel processing.

Each SpiNNaker 2 chip carries 152 cores and specialized accelerators, with 48 chips per server board. One fully configured system contains up to 1,440 boards, 69,120 chips, and 138,240 terabytes of DRAM.

These figures point to a system that is not just large but built for a very different kind of performance, one that hinges on speed in DRAM rather than traditional disk-based I/O.

In this design, the system’s speed is attributed to data being retained entirely in SRAM and DRAM, a feature SpiNNcloud insists is crucial, stating, “the supercomputer is hooked into existing HPC systems and does not contain any OS or disks. The speed is generated by keeping data in the SRAM and DRAM.”

SpiNNcloud further claims that standard parallel Ethernet ports are “sufficient for loading/saving the data,” suggesting minimal need for the elaborate storage frameworks typically found in high-performance computing.

Still, the real implications remain speculative. The SpiNNaker 2 system simulates between 150 and 180 million neurons, impressive, yet modest compared to the human brain’s estimated 100 billion neurons.

The original SpiNNaker concept was developed by Steve Furber, a key figure in Arm’s history, and this latest iteration appears to be a commercial culmination of that idea.

Yet, the true performance and utility of the system in real-world, high-stakes applications remain to be demonstrated.

“The SpiNNaker 2’s efficiency gains make it particularly well-suited for the demanding computational needs of national security applications,” said Hector A. Gonzalez, co-founder and CEO of SpiNNcloud, emphasizing its potential use in “next-generation defense and beyond.”

Despite such statements, whether neuromorphic systems like SpiNNaker 2 can deliver on their promises outside specialized contexts remains an open question.

For now, Sandia’s activation of the system marks a quiet but potentially important step in the evolving intersection of neuroscience and supercomputing.

Via Blocks & Files

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‘Existential Crisis’: Bitcoin Quantum Computing Threat Is Fast Approaching, Experts Say

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In brief

  • Experts fear a quantum computer could one day be used to access billions of dollars of ancient Bitcoin.
  • That could result in an immediate drop in Bitcoin’s price during a so-called liquidation event.
  • There may be a solution, but time is running out, they say.

Some members of Bitcoin’s community are quick to shrug off advancements in quantum computing, but behind closed doors, influential cryptographers and business leaders are concerned about a potential catastrophe.

A computer strong enough to reverse engineer wallets’ private keys could one day disrupt Bitcoin’s market, flooding exchanges suddenly with ancient Bitcoin and sending prices spiraling, computer and security experts explained at a private luncheon last week—a short walk away from The Venetian’s cavernous Bitcoin 2025 conference rooms in Las Vegas.

Although the threat was once viewed as far-off, experts now believe that Bitcoin’s community has less than a decade, even a handful of years, to put contingency plans in place. Among those who advocated for preparedness, as opposed to industry-wide denial, was Jameson Lopp, CTO and co-founder of self-custody service Casa.

“It’s difficult to say that we have decades because it seems like the timelines are getting compressed,” he said. “The real question is: Can Bitcoin come together and find consensus on how to mitigate this threat before it really becomes an existential crisis?”



The luncheon at the Delilah at Wynn Las Vegas, a modern-day supper club, was hosted by Anduro, a multi-chain layer-2 network incubated by Bitcoin miner Marathon Digital, and Evertas, a crypto insurance company founded in 2017. The discussion was led by Anduro Senior Protocol Engineer Hunter Beast and Marathon Director of Engineering Michael B. Casey.

The event, which explored potential solutions, secured RSVPs from members of the U.S. Treasury, according to a person familiar with the matter. The Treasury was not in attendance, however, according to a separate person familiar with the matter.

“Liquidation event”

Companies including Google and Microsoft have invested billions of dollars in researching quantum computing, making it an effective space race among the world’s tech elite.

Using particles that can act like both individual units and waves simultaneously, their experimental machines are able to crunch complex calculations that would otherwise take today’s machines thousands of years. (An in-depth breakdown can be found here.)

Bitcoin is vulnerable to quantum computers that could reverse-engineer private keys, enabling a bad actor to steal assets belonging to Bitcoin’s pseudonymous creator Satoshi Nakamoto, leading exchanges, and abandoned coins mined by early network participants.

Last week, a research paper from Google posited that breaking the so-called RSA encryption backing the security of private keys might require 20 times fewer quantum resources than experts previously estimated. In theory, a public key is all that they would need.

Beast and Casey say that Bitcoin’s algorithms could be cracked with zero warning. And based on the network’s current structure, a bad actor would likely be incentivized to collect as many keys as they can before potentially accessing billions of dollars of Bitcoin in one fell swoop.

A study published by Deloitte found that 25% of Bitcoin’s circulating supply is vulnerable to quantum attacks because their associated wallets’ keys had been exposed. That sum, totaling 4 million Bitcoin at the time, is worth nearly $42 billion, based on current prices.

The reality is that an attacker would get far less. If algorithms backing Bitcoin are cracked, then it could immediately depress the asset’s price during a “liquidation event,” the experts said. 

To be sure, Bitcoin can be secured against quantum threats by moving funds to a wallet that hasn’t had its public key exposed yet. Nevertheless, that’s impossible for actors that have lost their keys, or impractical for exchanges that let the public make on-chain deposits.

“It’s a huge coordination problem,” Beast said, emphasizing that the community should be leaning towards “preparedness” as opposed to “denial.”

“Biggest short of all time”

At present, Bitcoin’s community would have two options if a quantum computing attack occurred: Absorb the market impact that quantum computers have on Bitcoin and move on, or start confiscating assets. The latter option, in many ways, would conflict with Bitcoin’s ethos as an asset specifically built for self-custody.

Beast is the author of BIP 360, a proposal aimed at introducing certain address types that leverage post-quantum cryptography. Because experts aren’t sure just how strong quantum computers could grow, the proposal features address types with varying levels of security.

According to Casa’s Lopp, quantum signature schemes “are massive in terms of data size,” and they would likely ignite “a version of the block size debate” that centered on Bitcoin’s transaction overall throughput. The debacle split Bitcoin’s community and ultimately led to the creation of Bitcoin Cash after years of acrimonious debate over Satoshi Nakamoto’s vision for the network.

Even then, Beast’s solution would require that Bitcoin owners move their assets to a new address type, from your average user to the biggest crypto exchange.

Casey’s solution, which has not been assigned a so-called BIP number that’s used to track proposed software changes, is aptly dubbed “hourglass.” He believes that it could stretch out the dilemma of quantum-accessed coins to eight months from a few hours.

There’s a certain type of Bitcoin address, named pay-to-public-key, or p2pk, that’s especially vulnerable to quantum attacks, he said. The format is outdated—most new wallets use hash-based signatures now—but it was standard for Satoshi Nakamoto and the first Bitcoin miners.

By limiting the number of transactions from p2pk addresses that can be included in one block, Casey said the community would have more time to explore other solutions. As a pseudo-legitimate way to access coins, it may also encourage bad actors to target abandoned Bitcoin addresses—coins that nobody would end up missing—as opposed to real users.

What’s more, the network would have a better way of assessing how many actors have access to strong quantum computers. If only one p2pk-based transaction was allowed per block, attackers would have to bid against each other to get their transaction included. In theory, that could dampen the market impact, as those fees are awarded to Bitcoin miners.

As Bitcoin’s community mulls solutions to a seemingly inevitable threat, Project 11 is among those involved, offering a Bitcoin bounty to anyone that’s able to break a “toy version” of algorithms underlying the network and $2 trillion worth of assets.

“Bitcoiners do not want to hear this story,” Alex Pruden, a Project 11 co-founder and former U.S. army infantry and special operations officer, said during the event’s Q&A portion.

Amid the jargon, one Wall Street veteran and mathematician, however, floated a more personal solution in the event that a quantum computing attack depresses Bitcoin’s price.

“Open the biggest short of all time on Hyperliquid,” he said, referring to the rapidly rising decentralized exchange.

Edited by James Rubin

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Quantum Computing Threat Sparks Surge in Privacy Altcoins Like Best Wallet Token
GameFi Guides

Quantum Computing Threat Makes Privacy Altcoins Like Best Wallet Token Explode

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Trusted Editorial content, reviewed by leading industry experts and seasoned editors. Ad Disclosure

Quantum computing is no longer just theory – it’s edging closer to reality. The crypto world is now buzzing with warnings about how this powerful new tech could one day crack the encryption behind Bitcoin and other blockchains.

Experts call it ‘Q-Day’ – the moment when quantum machines become capable of breaking classical cryptography.

While quantum computing and the ability to break cryptography aren’t here yet, recent developments are forcing the crypto community to ask some tough questions. How do we future-proof our digital assets? Can the security we rely on today survive the next wave of innovation?

At the same time, projections show the quantum tech industry could reach $93B in revenue by 2040. That kind of growth points to serious momentum.

Pair that with the rise of tools for offline Bitcoin transfers, and it’s obvious: crypto is evolving fast. Security and privacy are now top priorities for users who want to stay ahead of the curve. Best Wallet Token ($BEST), one of the best altcoins right now, is making waves in this context.

Read on to learn how quantum computing benefits privacy altcoins like Best Wallet Token.

Why Is Everyone Talking About Quantum?

The excitement – and fear – around quantum computing is grounded in how it fundamentally changes data processing.

Unlike traditional computers, which process information as bits (ones and zeroes), quantum computers use qubits.

These qubits can exist in multiple states simultaneously, allowing quantum computers to accomplish specific tasks, like factoring very large numbers, at speeds previously thought impossible.

This matters because modern cryptography, including the encryption that secures Bitcoin and Ethereum, is based on encryption that would take classical computers thousands of years to solve. But quantum computers? They could potentially do it in hours.

That’s what ‘Q-Day’ refers to – the theoretical point in time when quantum computing becomes powerful enough to break public-key cryptography.

While we’re not there yet, the warning signs are flashing. Major players like Google and IBM are actively investing in quantum research. Governments are pouring billions into quantum development. And the potential fallout for crypto security is real.

To make matters more pressing, tools like Darkwire are now enabling Bitcoin transfers without internet access.

Source: Darkwire

Using LoRa radio, it relays transactions across offline nodes until reaching a connected exit point. Built for disaster zones and censorship resistance, it shows how crypto is adapting to extreme threats, but also new opportunities.

Enter Best Wallet Token ($BEST) – Privacy Without the Paranoia

Best Wallet Token ($BEST) isn’t just another token in a crowded space. It’s the driving force behind a bold new ecosystem that’s shaking up how users store, send, and stake their crypto.

Designed to challenge outdated players like MetaMask, Best Wallet combines sleek design with advanced functionality. It’s the gateway to a secure, seamless, and modern crypto experience, and the $BEST token is the key that unlocks it all.

By buying and holding $BEST, you get reduced transaction fees, early access to new crypto project launches, and higher staking rewards within the app.

Most importantly, Best Wallet places a strong focus on security. The app is built on Fireblocks’ cutting-edge MPC-CMP technology, offering robust protection without sacrificing speed or usability.

Thanks to its Multi-Party Computation (MPC) implementation, Best Wallet keeps your crypto safe against potential data vulnerabilities.

Your private key, the gateway to your crypto, is split across your device and an external server. Because of this, nobody can access your full key, rendering your wallet virtually unhackable even in the case of a breach.

And features like the app’s Upcoming Tokens allow users to safely buy into vetted crypto presales directly from the app – no scammy websites, no rug pull roulette.

Even the presale of $BEST itself started inside the Best Wallet app, rewarding early adopters and adding a layer of exclusivity.

It’s the kind of ecosystem that doesn’t just look toward the future of crypto – it’s already building it.

Why Buying $BEST Now Could Be a Power Move

Currently priced at just $0.025085 and with over $12.7M already raised during presale, $BEST is gathering serious momentum.

But this price won’t last. As presale stages progress, prices are bound to rise. With long-term forecasts predicting $BEST could hit $0.072 by the end of 2025 (a +187% increase from today’s price), the upside is clear.

Let’s break it down. If you were to buy $1K worth of $BEST today at $0.025, you’d get 39,866 tokens. $BEST’s staking options currently offer competitive APY – let’s assume a modest 15% over one year. That brings your token count to around 45,846.

Now, even if $BEST only hits a lower estimated price, like $0.24 (according to our 2026 forecast), your total investment could one day be worth roughly $11K – a potential 10x return. If it climbs to $0.62? That’s a potential ROI of over $28K.

Timing matters, though. With growing user adoption, a fast-moving roadmap, and a clear market fit, buying $BEST today looks like a smart move for anyone who cares about privacy, profit, and the future of crypto.

Brace for the Quantum Future

No one knows exactly when Q-Day will arrive, but the smart money isn’t waiting.

As the conversation around quantum computing and blockchain security heats up, new crypto projects focused on privacy, like Best Wallet Token, are carving out their space in the new world order.

Want to stay ahead of the curve? You might want to start with a wallet that’s built for it.

Remember that all crypto investments carry risk. Always do your own research (DYOR) before investing. This article is not meant as financial advice.

Editorial Process for bitcoinist is centered on delivering thoroughly researched, accurate, and unbiased content. We uphold strict sourcing standards, and each page undergoes diligent review by our team of top technology experts and seasoned editors. This process ensures the integrity, relevance, and value of our content for our readers.



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Shaurya Malwa
NFT Gaming

Cracking Bitcoin-Like Encryption Through Quantum Computing Could be 20x Easier Than Thought

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Shaurya is the Co-Leader of the CoinDesk tokens and data team in Asia with a focus on crypto derivatives, DeFi, market microstructure, and protocol analysis.

Shaurya holds over $1,000 in BTC, ETH, SOL, AVAX, SUSHI, CRV, NEAR, YFI, YFII, SHIB, DOGE, USDT, USDC, BNB, MANA, MLN, LINK, XMR, ALGO, VET, CAKE, AAVE, COMP, ROOK, TRX, SNX, RUNE, FTM, ZIL, KSM, ENJ, CKB, JOE, GHST, PERP, BTRFLY, OHM, BANANA, ROME, BURGER, SPIRIT, and ORCA.

He provides over $1,000 to liquidity pools on Compound, Curve, SushiSwap, PancakeSwap, BurgerSwap, Orca, AnySwap, SpiritSwap, Rook Protocol, Yearn Finance, Synthetix, Harvest, Redacted Cartel, OlympusDAO, Rome, Trader Joe, and SUN.



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