About
EIGEN
Ended--
Last price (USDT)
171.76K
24h total (USDT)
739.77K
Total vol (USDT)
2024-04-30 09:00:00 ~ 2024-10-01 03:30:00
Trading time (UTC+0)
2024-10-01 09:00:00
Delivery time (UTC+0)
Total supply1.75B
Resources
Introduction
EigenLayer is a protocol built on Ethereum that introduces re-staking, allowing users who have staked $ETH to join the EigenLayer smart contract to re-stake their $ETH and extend cryptoeconomic security to other applications on the network. As a platform, EigenLayer, on one hand, raises assets from LSD asset holders, and on the other hand, uses the raised LSD assets as collateral to provide middleware, side chains, and rollups with AVS (Active Verification Service) needs. The convenient and low-cost AVS service itself provides demand matching services between LSD providers and AVS demanders, while a specialized pledge service provider is responsible for specific pledge security services. EIGEN total supply: 1.67 billion tokens
Jito’s JTO token rises on a16z’s $50 million investment in Solana staking protocol
Jito’s native token, JTO, jumped 3% intraday on October 16, 2025, following a16z’s $50 million investment. The $50 million investment by Andreessen Horowitz’s crypto arm, acquiring locked JTO tokens, signals strong institutional confidence in Jito’s liquid staking and MEV solutions. The funding will fuel Jito’s Block Assembly Marketplace and node expansion. Andreessen Horowitz’s crypto arm has announced a $50 million investment in Jito, acquiring a substantial allotment of the protocol’s native JTO tokens. Jito, an important infrastructure layer on the Solana blockchain, offers liquid staking and maximum extractable value (MEV) extraction. a16z investment of $50m in staking protocol Andreessen Horowitz’s (a16z) $50 million infusion into Jito marks the venture firm’s largest single commitment to a Solana staking protocol. It eventually emphasizes strategic token purchases over traditional equity. In exchange for the investment, a16z received non-circulating JTO tokens, locking them for an extended period. Brian Smith, executive director of the Jito Foundation. highlighted the deal’s novelty: If you’re accepting long-term alignment where you can’t sell for a while, then there’s traditionally some modest discount associated with that. This structure, particularly 16z’s prior $55 million LayerZero and $70 million EigenLayer investments, prioritizes ecosystem growth over quick flips. The capital to accelerate Jito’s roadmap, including BAM node expansion. 📣🚨NEWS: @a16zcrypto has made a $50M strategic investment in Jito! With BAM live on mainnet, Jito's growing momentum across DeFi, and institutional adoption continuing to accelerate via JitoSol ETF's, things are just getting started. Accelerate Jito. pic.twitter.com/pKGhLyvkdI — Jito (@jito_sol) October 16, 2025 Strategically, it aligns a16z with Solana’s high-throughput ethos, where Jito’s MEV tools mitigate front-running risks plaguing other chains. This infusion arrives amid a16z’s aggressive crypto pivot, following $4.5 billion in new funds raised earlier in 2025. As institutional inflows swell, the deal could herald a staking renaissance, democratizing yields while fortifying blockchain security. Jito price outlook Jito is currently trading at $1.16, up nearly 3% and has touched highs of $1.19 across major exchanges. The gains came amid news of a16z’s investment and reflected trader optimism around the token as institutional validation takes root. Solana’s price rising in the past few weeks also buoyed traders. Analysts are linking this rebound to the investment’s timing, coinciding with positive Solana network metrics. This includes a 15% uptick in daily active users and rising decentralized finance volume. In terms of the technical outlook for JTO, the daily chart price is near the oversold territory with the Relative Strength Index (RSI) at 35. The indecisive market nonetheless has Jito poised above $1 after bulls recovered from lows of $0.33 seen on October 10, 2025. Jito price chart by TradingVew Other than the technical perspective, regulatory shifts that could impact liquid staking tokens remain a risk. However, recent SEC exemptions and broader market downturns indicate a long-term bullish outlook. The surge to near $1.20 suggests bulls could eye the $1.50-$1.70 range, above which lie the key targets of $1.85 and $2.56. If market conditions align, buyers will target the all-time peak above $5.61 reached in December 2023.
EIGEN Large Unlock Incoming: 10% Market Cap Dilution Per Month, Smart Money Exits Early
Original Author: Cryptor, On-chain Analyst Original Translation: TechFlow On October 10, the entire crypto market plunged due to tariff news, with $EIGEN dropping as much as 53% in a single day, from $1.82 to $0.86. At first glance, this seems like yet another victim of a market flash crash, but the reality is far more complex. In the past 30 days, 68% of the most profitable $EIGEN traders have already exited the market. They did not panic sell because of the October 10 tariff crash, but rather positioned themselves in advance to avoid the upcoming 24-month supply shock—the first unlock of which occurred on October 1. I specifically checked on-chain data because my timeline was flooded with overly optimistic headlines, narratives that did not align with price action. In reality, EigenCloud’s momentum is strong: it has partnered with Google, total value locked (TVL) has grown from $12 billions in August to $17.5 billions, Coinbase AgentKit integration has gone live, and both EigenDA V2 and multichain expansion are actively being developed. But the problem is, starting November 1, over the next two years, about $47 millions worth of $EIGEN tokens will be unlocked and flow into the market every month. In other words, every 30 days, 13% of the current market cap enters circulation. The most profitable traders have long seen this and exited early. Looking back at the past 30 days, smart money did buy some low-priced chips after the flash crash, but this was mainly driven by a single whale investor, who, according to @nansen_ai, has since remained silent. Meanwhile, about $12.2 millions flowed into exchanges last week. The market crash on October 10 was just noise and distraction. The real signal is in the timing: who exited before October 1, who bought during the crash, and who is now staying silent. Exit Pattern: September to October 2025 What stands out first: in the past 30 days, 68% of the top 25 most profitable $EIGEN traders have completely liquidated their positions. They didn’t just take partial profits—they exited entirely. The best-performing trader, “crashman.eth,” achieved a 272% return on investment (ROI) and now holds no tokens. The second place exited after a 97% return, and the third left after a 91% gain. This pattern repeats throughout the leaderboard. Only 8 out of the 25 top traders still hold $EIGEN, with an average “holding ratio” of just 30%. Even these remaining holders have cut their peak positions by 70%. This data is more meaningful than ROI. High returns with low holding ratios indicate that early confidence has shifted to caution. These exits began in mid-September, weeks before the October 10 flash crash, when prices were still above $2. These traders clearly saw the unlock schedule and exited in advance. Token Flows The timeline coincides with the first unlock event on October 1, when $EIGEN became tradable after months of restrictions. Two days before the first batch of 36.82 million $EIGEN was unlocked, the price had already dropped 26%. Top traders acted before this event, selling tokens into exchanges. On the surface, it may have looked like the market was accumulating, but in reality, this was systematic distribution. At least from on-chain data, I believe this is a reasonable interpretation. Fund flows over the past 7 days show another $12.32 millions worth of $EIGEN entering exchanges, including $3.44 millions from these top profitable traders. Contradiction: A Smart Money Whale Buys the Dip Smart money holdings increased by 68% last month, from 1.4 million to 2.36 million tokens. However, the turning point is: over half of the increase came from a single wallet, which currently holds 1.23 million $EIGEN. This whale accumulated throughout September, sold near the October 1 unlock low, then bought back at higher prices, and added again after the October 10 flash crash. While this staggered buying pattern is a bit odd, more importantly, it does not represent broad smart money consensus. The rest of the smart money is spread across dozens of wallets, totaling about 1.2 million $EIGEN, which is not convincing to me. The total supply held by smart money is only 0.13%. Moreover, in the past 24 hours, there has been no smart money activity and no other significant inflows. Even that whale has remained silent. Meanwhile, as more top profitable accounts (Top PnL wallets) take profits and move tokens to exchanges, $EIGEN’s price continues to fall. You can see this trend in the right-hand column of the screenshot above. There are two ways to interpret this silence: · Bullish view: Confidence. Choosing to hold, riding out volatility, waiting for fundamentals to catch up. · Bearish view: Uncertainty. Even at lower prices, there isn’t enough confidence to add more. On November 1, we’ll find out. The $47 Million Monthly Dilemma Because on November 1, the next challenge arrives: more unlocks. The unlock schedule is public information; it’s no secret. But few seem to pay attention to what it actually means, or put it in a meaningful context. The October 1, 2024 unlock lifted transfer restrictions and started a one-year cliff period. On October 1, 2025, the first batch of 36.82 million $EIGEN unlocks. Then, starting November 1, 2025, 36.82 million will unlock every month for about 23 months, until September 2027. At current prices, every 30 days, $47 millions worth of tokens enter the circulating market. At the current market cap (at the time of writing, $490 millions), these monthly unlocks represent about a 10% dilution rate. That’s a huge pressure. Currently, only 23% of tokens are in circulation, and the fully diluted valuation (FDV) to market cap ratio is 4.5x, meaning 77% of tokens are still locked. The top 10 holding addresses control 50% of the token supply. Most of these are held in protocol wallets, exchange reserves, and VC allocations, all subject to the same unlock schedule. This means the next two years will face ongoing selling pressure, not a one-off event. Those who exited in September didn’t do so because of price action, but to proactively address a known date of supply shock. Protocol vs. Token: Why Both Can Be True Ironically, as a protocol, EigenCloud is actually performing well. TVL has reached $17.5 billions (about $12 billions in August). It has partnered with Google Cloud for AI payment verification. Coinbase AgentKit integration supports verifiable blockchain agents. Slashing mechanism went live in April. EigenDA V2 launched in July. Multichain expansion is also actively underway. Development is real, adoption is growing, and the infrastructure logic is being realized. But strong fundamentals do not erase poor tokenomics. These are two separate issues. Even though the token belongs to a project, it doesn’t mean the two will develop in sync. $EIGEN’s growth story is colliding head-on with a heavy, multi-year unlock cycle that hasn’t fully started yet. That’s why I always separate product analysis from token analysis, because they rarely move in sync, especially during the vesting period. For the token to succeed, the protocol must generate enough real demand to absorb $47 millions in new supply every month. Even for a project as genuinely attractive and large-scale as EigenCloud, that’s a high bar. November 1: The Real Stress Test I don’t know who will win this battle: protocol growth or supply pressure. But what I do know is that the data tells us some facts. Once again, my timeline is filled with (the only) bullish $EIGEN news. Does this seem familiar? If you follow me, you should know which cases I’m referring to. For $EIGEN, profitable traders exited weeks before the first unlock, with the most successful leaving when the price was still above $2. A smart money whale bought heavily during the crash, but then went completely silent. Exchange inflows have continued to rise ahead of the next unlock window. The tariff-driven market crash on October 10 drew everyone’s attention, but the real story is about wallet positioning around the 24-month unlock plan, which will officially accelerate on November 1. Pattern recognition insights: When the “Still Holding %” of top performers drops below 30%, when exchange inflows surge relative to market cap, and when major cyclical unlocks are approaching, this is usually not your entry signal. November 1 is the next monthly test of this supply cycle. We’ll see whether the whale’s confidence pays off, or if early sellers made the right call. Watch these indicators: · Changes in smart money positions, and whether more wallets are increasing their holdings. · Whether other groups (such as the top 100 holders, top profitable accounts, whales, and funds) are accumulating. · Exchange flow velocity (will the weekly $12 millions inflow speed up?) · Number of active wallets (are new participants entering, or is it just existing holders rotating?) This framework applies to any token with an unlock schedule. The methodology here is more important than any single trade. On-chain data gives you the same information that institutions and funds have. The difference is whether you know where to look before the market finds out. If you do? Then you’re already ahead of 99% of crypto Twitter users.
a16z crypto division invests $50 million in Jito for token allocation
PANews, October 16—According to Fortune, a16z (Andreessen Horowitz)'s crypto division has invested $50 million in the Solana ecosystem protocol Jito, acquiring an allocation of Jito tokens. Brian Smith, Executive Director of the Jito Foundation, described this deal as the largest single commitment to Jito by an investor, emphasizing that the terms include "long-term alignment," with the tokens not being available for short-term sale and subject to a certain discount. Earlier this year, a16z also invested in LayerZero ($55 million) and EigenLayer ($70 million) through token transactions. Jito is a liquid staking and transaction prioritization tool for Solana.
EIGEN Large Unlocking Event Approaching: Monthly 10% Market Cap Dilution, Smart Money Exiting Early
Original Author: Cryptor, On-chain Analyst Original Translator: DeepTech TechFlow On October 10, the entire crypto market experienced a sharp decline due to tariff news, with $EIGEN plunging by as much as 53% within the day, dropping from $1.82 to $0.86. At first glance, this seemed to be another victim of a market flash crash, but the reality is far more complex. Over the past 30 days, 68% of the top-earning $EIGEN traders have exited the market. They did not panic sell due to the tariff crash on October 10, but rather they pre-positioned themselves to mitigate the upcoming 24-month supply shock — the first unlock of which occurred on October 1. I specifically looked into on-chain data because my timeline was filled with overly optimistic headlines that did not align with the price action. In fact, EigenCloud's development momentum is strong: it has partnered with Google, the Total Value Locked (TVL) has increased from $12 billion in August to $17.5 billion, Coinbase AgentKit integration has gone live, and EigenDA V2 and cross-chain expansions are actively in progress. However, the issue lies in the fact that starting from November 1, approximately $47 million worth of $EIGEN tokens will unlock monthly over the next two years, flooding into the market. In other words, this is equivalent to 13% of the current market cap entering circulation every 30 days. The top-earning traders have long foreseen this and exited the market early. Looking back at the past 30 days, it can be seen that smart money bought some dip chips after the flash crash, but it was mainly driven by a single whale investor, who, according to @nansen_ai data, is currently silent. Meanwhile, about $12.2 million flowed into exchanges last week. The market crash on October 10 was just noise and distraction. The real signal lies in timing: who exited before October 1, who bought during the flash crash, and who is silent now. Exit Pattern: September 2025 to October 2025 Most notably, in the past 30 days, among the top 25 highest-earning $EIGEN traders, 68% have completely liquidated their positions. They did not take partial profits but rather fully exited. The top-performing trader "crashman.eth" achieved a 272% return on investment (ROI) and is now no longer holding any tokens. The second-place trader exited after a 97% return, and the third-place trader left after a 91% return. This pattern continued throughout the leaderboard. Of the top 25 traders, only 8 still hold $EIGEN, with an average "holding ratio" of only 30%. Even these remaining holders have reduced their peak positions by 70%. This data is more meaningful than the investment ROI. High returns with low holding ratios indicate that early confidence has gradually turned cautious. These exits began in mid-September, weeks before the market crash on October 10th, when the price was still above $2. These traders clearly saw the unlock schedule and exited early. Token Flow The timeline aligns with the initial unlock event on October 1st when $EIGEN became tradable after months of restriction. Two days before the first batch of 36.82 million $EIGEN was unlocked, the price had already plummeted by 26%. Top traders took action before this event, selling tokens to exchanges. While it may seem like the market was accumulating chips, it was actually systematic distribution. At least from on-chain data, I think this is a reasonable interpretation. Data on fund flows over the past 7 days shows that approximately $12.32 million worth of $EIGEN has flowed into exchanges, including $3.44 million from these top-profit traders. Contradiction: A Smart Money Whale Buys the Dip Smart money holdings increased by 68% last month, from 1.4 million to 2.36 million tokens. However, the turning point is that over half of the increment came from a single wallet currently holding 1.23 million $EIGEN. This whale kept buying in September, sold near the low point unlocked on October 1st, then bought back at higher prices and added positions again after the market crash on October 10th. While the staggered buying pattern is somewhat peculiar, the more critical point is that this is not a broad smart money consensus. The total holdings of other smart money are distributed among several wallets, totaling about 1.2 million $EIGEN, which is not convincing to me. Smart money holds only 0.13% of the total supply. Furthermore, in the past 24 hours, Smart Money has been inactive with no significant fund inflows. Even the whale has remained silent. Meanwhile, as more Top PnL wallets have taken profits and transferred tokens to exchanges, the price of $EIGEN continues to decline. This trend can be seen in the column on the right of the screenshot above. There are two interpretations for this silence: · Bullish View: Confidence. Choose to hold, ride out the volatility, and wait for the fundamentals to catch up. · Bearish View: Uncertainty. Even at a lower price, there isn't enough confidence to continue adding to positions. November 1st will reveal the outcome. The $47 Million Monthly Conundrum Because come November 1st, the next challenge is around the corner: more unlocks. The unlock schedule is public information; this is no secret. But it seems few have truly paid attention to its actual implications or placed it in a meaningful context for understanding. The October 1, 2024 unlock lifted transfer restrictions and initiated a one-year lock-up cliff. On October 1, 2025, the initial batch of 36.82 million $EIGEN unlocked. Starting from November 1, 2025, 36.82 million tokens will unlock every month for about 23 months until September 2027. At the current price, approximately $47 million worth of tokens will enter the circulating supply every 30 days. Based on the current market cap (at the time of writing, $490 million), these monthly unlocked tokens equate to about a 10% dilution rate. That's significant pressure. Currently, only 23% of the tokens are in circulation, giving a Fully Diluted Valuation (FDV) to Market Cap ratio of 4.5x, indicating that 77% of the tokens are still locked up. The top ten holding addresses control 50% of the token supply, most of which are held in protocol wallets, exchange reserves, and VC allocations, all subject to the same unlock schedule. This means that there will be continued selling pressure over the next two years, rather than a one-time event. Those who exited in September did so not due to a particular price trend, but to preempt a known supply shock date. Protocol and Token: Why Both Can Stand Alone Ironically, as a protocol, EigenCloud has actually performed well. The Total Value Locked (TVL) reached $17.5 billion (up from around $12 billion in August). Collaborated with Google Cloud for AI payment validation. Coinbase AgentKit integration added support for verifiable blockchain agents. Slashing mechanism went live in April. EigenDA V2 was launched in July. Cross-chain extensions are also actively in progress. Development is real, adoption is growing, and the logic of the infrastructure is coming to fruition. But strong fundamentals cannot erase poor tokenomics. These are two separate issues. While the token is part of a project, it doesn't mean they will progress in sync. $EIGEN's growth narrative is now colliding head-on with a heavy, multi-year unlocking schedule that has yet to fully start. This is why I always separate product analysis from token analysis, as they rarely sync up, especially during the vesting period. Token success requires that the protocol can generate enough real demand to absorb $47 million in new supply each month. Even for a project like EigenCloud with genuine appeal and scale, this is a high bar. November 1: A True Stress Test I'm not sure who will come out on top in this showdown: protocol growth or supply pressure. But what I do know is that the data is telling us some facts. Once again, my timeline is littered with (scarce) bullish news about $EIGEN. Does this situation sound familiar to us? Those following me should know which cases I'm referring to. For $EIGEN, profit-taking traders exited in the weeks leading up to the initial unlock, with the most successful ones leaving when the price was still above $2. A savvy whale of funds bought heavily during the dip but then fell completely silent. Exchange inflows continued to rise in the lead-up to the next unlock window. The October 10th market crash driven by tariffs captured everyone's attention, but the real story revolves around the wallet distribution of the 24-month unlock schedule, which will officially accelerate on November 1st. Insights from pattern recognition: When the "Still Holding %" of top performers drops below 30%, when exchange inflows surge relative to market cap, and when a major cyclical unlock is approaching, this is usually not your entry signal. November 1st marks the next monthly test of this supply cycle. We will see whether whale confidence pays off or early sellers were right in their judgment. Watch these metrics: · Position changes of smart money and whether more wallets are increasing their holdings. · Whether other groups (such as top 100 holders, top profit accounts, whales, and funds) are accumulating. · Exchange flow velocity (will the weekly $12 million inflow rate accelerate?). · Number of active wallets (are there new participants entering, or is it just existing holders rotating?). This framework applies to any token with an unlock schedule. The methodology here is more critical than a single trade. On-chain data provides you with the same information that institutions and funds have. The difference is whether you know where to look before the market does. If you do? Then you've already outdone 99% of crypto Twitter.
Sreeram Kannan: Building the Trust Layer for Ethereum
Despite the controversy, EigenLayer remains at the core of Ethereum's evolution. Written by: Thejaswini M A Translated by: Block unicorn Preface The interviewer from Caltech leaned forward and posed an intriguing question. “Suppose I give you unlimited resources, unlimited talent, and 30 years. You lock yourself in a lab like a hermit. After 30 years, you come out and tell me what you’ve invented. What would you create?” Kannan, a postdoctoral researcher applying for a faculty position at the time, was stunned. His mind went blank. The question required him to think without limits, on a scale he had never attempted before. For years, he had been solving problems in computational genomics, advancing step by step on the foundation of existing knowledge. But this question had no restrictions. No budget constraints. No time pressure. No shortage of talent. There was only one requirement: What would you build if there were no obstacles? “I was completely shocked by the breadth of the question,” Kannan recalled. The degree of freedom terrified him. He didn’t get the Caltech position. But the question planted a seed in his mind, which later grew into one of Ethereum’s most controversial innovations—EigenLayer. However, the journey from the Caltech interview room to running a multi-billion dollar crypto company required Kannan to answer this 30-year question at three different stages, and at each new stage, his answer changed. Academic Journey and Transformation Kannan grew up in Chennai, southern India, where pure mathematics sparked his imagination early on. He stayed in India for his undergraduate studies at Guindy College of Engineering and participated in the development of India’s first student-designed microsatellite, ANUSAT. This project piqued his interest in complex systems and coordination problems. In 2008, he came to the United States with only $40. He studied telecommunications engineering at the Indian Institute of Science in Bangalore, then earned a master’s in mathematics and a PhD in electrical and computer engineering at the University of Illinois Urbana-Champaign. His doctoral research focused on network information theory—how information flows through networks of nodes. He spent six years solving long-standing problems in the field. When he finally cracked them, only about twenty people in his subfield noticed. No one else cared. Disappointment led to reflection. He had been pursuing curiosity and intellectual beauty, not impact. If you don’t deliberately pursue it, you can’t expect real-world change to appear randomly as a byproduct. He drew a two-dimensional graph. The X-axis represented technical depth, the Y-axis represented impact. His work landed squarely in the high-depth, low-impact quadrant. It was time to move on. In 2012, he attended a lecture on synthetic genomics by Craig Venter, one of the founders of the Human Genome Project. The field was creating new species, discussing building biological robots instead of mechanical ones. Why waste time optimizing download speeds when you could reprogram life itself? He completely shifted to computational genomics, focusing on it during his postdoctoral research at Berkeley and Stanford. He studied DNA sequencing algorithms and built mathematical models to understand gene structures. Then, artificial intelligence caught him off guard. A student proposed using AI to solve DNA sequencing problems. Kannan refused. How could his carefully crafted mathematical models be surpassed by neural networks? The student built the model anyway. Two weeks later, AI crushed Kannan’s best benchmarks. This sent a message: within ten years, AI would replace all his mathematical algorithms. Everything his career depended on would become obsolete. He faced a choice: dive deep into AI-driven biology, or try a new direction. Ultimately, he chose the new path. From Buffalo to Earth The Caltech question kept haunting him. Not because he couldn’t answer it, but because he had never thought that way before. Most people work incrementally. You have X capabilities, you try to build X incremental improvements. Small enhancements on top of what already exists. The 30-year question required a completely different mindset. It asked you to imagine a destination without worrying about the path. In 2014, after joining the University of Washington as an assistant professor, Kannan set his first 30-year project: decoding how information is stored in living systems. He gathered collaborators and made progress. Everything seemed on track. Then in 2017, his PhD advisor called to talk about bitcoin. It had throughput and latency issues—exactly what Kannan had studied during his doctorate. His first reaction? Why would he give up genomics for “wildly speculative nonsense”? The technical fit was obvious, but it seemed far from his grand vision. Then he reread Yuval Noah Harari’s “Sapiens.” One point struck him: humans are special not because we innovate or are smart, but because we can coordinate at scale. Coordination requires trust. The internet connects billions, but leaves a gap. It enables instant communication across continents, but provides no mechanism to ensure people keep their promises. Email can deliver a promise in milliseconds, but fulfilling that promise still requires lawyers, contracts, and centralized institutions. Blockchain fills that gap. They are not just databases or digital currencies, but engines that turn promises into code execution. For the first time, strangers can enter binding agreements without relying on banks, governments, or platforms. The code itself enforces accountability. This became Kannan’s new 30-year goal: to build a coordination engine for humanity. But here, Kannan learned something many academics overlook. Having a 30-year vision doesn’t mean you can jump straight to 30 years. You have to earn leverage to tackle bigger problems. It takes a million times more energy to move the Earth than to move a buffalo. If you want to eventually move the Earth, you can’t just declare the goal and expect resources to appear. According to Kannan, you have to move a buffalo first. Then maybe a car. Then a building. Then a city. Each success earns you bigger chips for the next challenge. The world is designed this way for a reason. Giving someone who’s never moved a buffalo the power to move the Earth could blow up the whole world. Incremental leverage prevents catastrophic failure. Kannan’s first attempt at moving a buffalo was a project called Trifecta. It was a high-throughput blockchain he built with two other professors. They proposed a blockchain capable of 100,000 transactions per second. But no one funded it. Why? Because no one needed it. The team optimized the technology but didn’t understand market incentives or have clear customers. They hired people who thought the same way—all PhDs solving theoretical problems. Trifecta failed. Kannan returned to academia and research. Then he tried again, creating an NFT marketplace called Arctics. He had been an advisor to Dapper Labs (which runs NBA Top Shot). The NFT space seemed promising. But while building the marketplace, he kept running into infrastructure problems. How to get reliable price oracles for NFTs? How to bridge NFTs across chains? How to run different execution environments? This marketplace also failed. He didn’t understand the mindset of NFT traders. If you’re not your own customer, you can’t build meaningful products. Every problem needed the same thing: a trust network. Should he build an oracle? A bridge? Or should he build the meta-thing that solves all these problems—the trust network itself? This he understood. He was exactly the kind of person who would build oracles or bridges. He could be his own customer. In July 2021, Kannan founded Eigen Labs. The name comes from the German word for “own,” meaning anyone can build what they want. The core idea is open innovation through shared security. The technical innovation is “restaking.” Ethereum validators lock up ETH to secure the network. What if they could use these assets to secure other protocols at the same time? New blockchains or services wouldn’t need to build their own security from scratch—they could borrow Ethereum’s established validator set. Kannan pitched this idea to a16z five times before getting funded. One early pitch was memorable for the wrong reasons. Kannan wanted to build on Cardano because it had a $80 billion market cap but no usable smart contracts. An a16z partner took the call outside a Solana conference. Their reaction: This is interesting. Why Cardano? The feedback forced Kannan to think about focus. Startups are exponential games. You want to turn linear work into exponential impact. If you think you have three exponential ideas, you probably have none. You need to pick the one with the highest exponent and go all in. He refocused on Ethereum. The decision proved right. By 2023, EigenLayer had raised over $100 million from firms including Andreessen Horowitz. The protocol launched in phases, with total value locked peaking at $20 billion. Developers began building “Actively Validated Services” (AVS) on EigenLayer, from data availability layers to AI inference networks, each able to leverage Ethereum’s security pool without building validators from scratch. However, success also brought scrutiny. In April 2024, EigenLayer announced its EIGEN token distribution, which triggered a strong backlash. The airdrop locked tokens for months, preventing recipients from selling. Geographic restrictions excluded users from jurisdictions such as the US, Canada, and China. Many early participants (who had deposited billions of dollars) felt the distribution favored insiders over community members. This reaction caught Kannan off guard. The protocol’s total value locked plummeted by $351 million as users withdrew funds in protest. The controversy exposed a gap between Kannan’s academic mindset and the expectations of the crypto world. Next came a conflict of interest scandal. In August 2024, CoinDesk reported that Eigen Labs employees had received nearly $5 million in airdrops from projects built on EigenLayer. Employees collectively claimed hundreds of thousands of tokens from projects like EtherFi, Renzo, and Altlayer. At least one project, under pressure, included employees in its distribution. This revelation triggered accusations that EigenLayer was compromising its “credible neutrality,” using its influence to reward projects that airdropped tokens to employees. Eigen Labs responded by banning ecosystem projects from airdropping to employees and implementing lock-up periods. But its reputation had already been damaged. Despite these controversies, EigenLayer remains at the core of Ethereum’s evolution. The protocol has established partnerships with major players such as Google Cloud and Coinbase, the latter serving as a node operator. Kannan’s vision goes far beyond restaking. “Crypto is our superhighway for coordination,” he says. “Blockchains are engines of commitment. They let you make and keep promises.” He thinks in terms of quantity, diversity, and verifiability. How many promises can humans make and keep? How diverse can these promises be? How easily can we verify them? “This is a crazy, century-long project,” Kannan says. “It will upgrade the human species.” The protocol has launched EigenDA, a data availability system designed to handle the total throughput of all blockchains. The team has introduced subjective governance mechanisms to resolve disputes that cannot be verified solely on-chain. But Kannan admits the work is far from done. “Unless you can run education and healthcare on-chain, the work isn’t finished. We’re far from done.” His approach combines top-down vision with bottom-up execution. You need to know where the target mountain is. But you also need to find the slope from where you stand today to get there. “If you can’t do anything with your long-term vision today, then it’s useless,” he explains. Verifiable cloud is the next frontier for EigenLayer. Traditional cloud services require trust in Amazon, Google, or Microsoft. Kannan’s version allows anyone to run cloud services—storage, computation, AI inference—and prove cryptographically that they executed correctly. Validators stake on their honesty. Malicious actors lose their stake. In his 40s, Kannan maintains an adjunct professorship at the University of Washington while running Eigen Labs. He still publishes research and continues to think from the perspective of information theory and distributed systems. But he is no longer the scholar who couldn’t answer Caltech’s 30-year question. He has now answered it three times—genomics, blockchain, coordination engines. Each answer builds on the lessons of the previous attempt. The buffalo has been moved. The car has started. The building is beginning to move. Whether he can ultimately move the Earth remains to be seen. But Kannan has learned something many academics never do: the path to solving big problems starts by solving small ones and accumulating chips to tackle bigger challenges. This is the story of the founder of EigenLayer.
A16z Crypto invests $50 million in Solana's Jito via private token sale
A16z Crypto, the crypto-focused wing of Andreessen Horowitz, has invested $50 million into Jito, a core protocol on the Solana blockchain. The marquee venture firm received an unspecified allotment of tokens in exchange for its capital injection, fostering “long-term alignment” between the firms. “Jito is catalyzing growth for the entire Solana ecosystem through its pace of delivery and BAM's measurable impact on network efficiency,” a16z General Partner Ali Yahya said in a statement, referencing Jito's Block Assembly Marketplace (BAM) launched in September. “We’re excited to back Jito and its stellar team’s efforts to accelerate the adoption of decentralized finance.” The investment is likely one of a16z’s largest crypto investments in recent years, particularly following the post-FTX bear market, though determining the exact numerical value of their deployments is difficult due to limited public disclosures. Fortune, first to report the news, noted a16z struck a $55 million deal with LayerZero and a $70 million deal with EigenLayer earlier this year. The venture firm also led smaller strategic investments like Poseidon’s $15 million and Catena Lab’s $18 million seed rounds, among numerous other deals. During the pandemic-era bull market, a16z raised two multi-billion dollar funds to invest in crypto ventures, including its $2.2 billion Crypto Fund III and $4.5 billion Crypto Fund IV . Notably, in April 2024, the firm announced it had raised $7.2 billion to invest in American Dynamism ($600 million), Apps ($1 billion), Games ($600 million), Infrastructure ($1.25 billion), and Growth ($3.75 billion), leaving crypto unnamed directly. This is not the first time a16z has invested in the Solana ecosystem. In fact, the firm is one of the Solana Layer 1’s earliest backers . Jito is a Solana infrastructure provider that builds MEV and liquid staking tools. Jito supports some $2.7 billion in liquid staking activity, according to The Block’s data. Last month, VanEck filed for a JitoSOL exchange-traded fund .
Ethereum treasury firm ETHZilla to execute 1-for-10 reverse stock split to help boost price of ETHZ shares
Ethereum treasury firm ETHZilla Corporation (ticker ETHZ) has announced a 1-for-10 reverse stock split to reduce the number of outstanding ETHZ shares. The split is expected to become effective on Oct. 20. The move also aims to boost the price of Nasdaq-listed ETHZ above $10 to appeal to large mutual funds with "minimum stock price threshold limitations." ETHZ is down over 7% on the day to trade around $1.77. "As part of ETHZilla's effort to significantly expand its engagement with the institutional investor community, the Reverse Stock Split is intended to provide these investors and large financial institutions with access to collateral and margin availability associated with stock prices greater than $10.00," the company said in an announcement on Wednesday, noting the split is not not connected to exchange listing requirements. The split was approved by the ETHZilla’s stockholders at a Special Meeting of Stockholders on July 24. The firm, originally 180 Life Sciences Corp., officially rebranded to ETHZilla in August after receiving backing from Peter Thiel’s Founders Fund . ETHZilla has previously engaged in operations to boost its stock price, including a $250 million stock buyback program . The firm, which holds over 100,000 ETH, has also deployed some of its crypto holdings into DeFi applications like liquid restaking protocols EtherFi and Puffer . Over 60 institutional and crypto-native investors participated in ETHZilla's PIPE transaction, including Borderless Capital, GSR, and Polychain Capital, as well as notable angel investors like Eigenlayer’s Sreeram Kannan, Gauntlet’s Tarun Chitra, and Superstate’s Robert Leshner.
[Long English Thread] Verifiable Cloud: How EigenCloud Ushers in a New Era for Crypto Applications and AI
Chainfeeds Guide: The application layer in the crypto space is too narrow, and the existing tech stack lacks programmability. Blockchains cannot meet the computational power required by modern applications. EigenLayer's EigenCloud addresses this issue through cloud-scale verifiable computation. Source: Author: Delphi Digital Opinion: Delphi Digital: In the current blockchain architecture, running high-intensity computational tasks (such as AI inference, game rendering, or large-scale data analysis) is almost impossible. The trustless mechanism brings determinism and security, but it also requires every computation to be agreed upon by all network nodes, causing the execution cost of complex tasks to rise exponentially. As a result, most applications have to migrate off-chain, which means the loss of trust guarantees—developers and users must once again rely on centralized servers or cloud providers. The trust problem that blockchain originally aimed to solve is thus reintroduced at the application layer. EigenCloud is a solution to this core contradiction. It makes off-chain computation verifiable, maintaining smart contract-level trust guarantees even in a large-scale environment. By decoupling verification logic from computation logic, EigenCloud allows developers to flexibly call computing power as they would on AWS or GCP, while ensuring the correctness and traceability of execution results through cryptographic proof mechanisms. This design opens up new possibilities for AI agents, zkTLS, secure data on-chain, and verifiable prediction markets, making heavy computation scenarios no longer conflict with the trustless concept, but rather become a key path for the scalability of crypto infrastructure. EigenCloud's core innovation lies in abstracting the cryptographic network as a verifiable cloud infrastructure, enabling developers to build applications in a modular way. The system consists of three primitives: EigenDA, EigenVerify, and EigenCompute. The first provides a large-scale data availability layer, ensuring that data executed off-chain can still be tracked and verified; EigenVerify uses both objective and subjective mechanisms to verify result correctness, allowing consensus among different participants; EigenCompute is responsible for verifying off-chain logic, so that complex computations remain cryptographically secure even when detached from the blockchain mainnet. This combination is equivalent to building a "decentralized AWS" for Web3—developers can break tasks into multiple independent modules, call them like containers or microservices, and link them through EigenDA and EigenVerify. Every step in the execution path can be individually verified and penalized, maintaining flexibility while ensuring trust. This architecture not only makes heavy tasks such as AI inference, data analysis, or off-chain order matching possible, but also heralds a paradigm shift in Web3 infrastructure: from chain-limited applications to application-defined chains, truly making infrastructure bend to the needs of applications. After verifiable computation becomes a reality, EigenCloud further proposes the concept of sovereign AI agents. Currently, most AI systems that can access user wallets or trading accounts operate as black boxes—users cannot verify their decision logic, trace the source of errors, or hold anyone accountable after losses occur. EigenCloud completely reconstructs this relationship through an on-chain commitment mechanism: the agent's strategy (i.e., scope of authority), code (container hash), and data sources are all stored on-chain in a verifiable way, backed by slashing-enabled collateral. When the agent deviates from established rules, the operator automatically loses the staked assets, thus achieving a balance between responsibility and autonomy. This is the so-called Cloud Chain Thesis—bitcoin brought verifiable currency, ethereum achieved verifiable finance, and EigenCloud becomes the underlying carrier for verifiable applications, connecting the weakest trust links between the crypto world and the real world. The rise of public cloud once created over 10 trillion USD in market value; now, verifiable cloud is expected to replicate this miracle—the difference is that the new trust foundation is no longer belief in AWS, but in cryptography and slashing mechanisms. This means the crypto industry is entering a new era with verifiability at its core.
Joseph Lubin says 'token-powered economies' are coming to Consensys' product suite, including Infura
Consensys founder Joseph Lubin said the blockchain firm will roll out tokens across its major products — extending beyond Linea and MetaMask to Infura's Decentralized Infrastructure Network — in a push to build "token-powered economies." In an early Monday post on X , Lubin mentioned Infura's decentralized infrastructure project (DIN), signaling that a token component for the developer platform is on the roadmap alongside a MetaMask token and ongoing Linea distribution. Infura's DIN has been progressing toward a more decentralized architecture, including work tied to EigenLayer and an early-access program aimed at distributing RPC services across multiple providers. Lubin’s post implies that a token component will soon plug into that effort. "Across Consensys, we’re building token-powered economies that create positive-sum relationships between users and builders," Lubin wrote. "Starting with Linea, expanding through MetaMask, soon through DIN (Infura’s Decentralized Infrastructure project) – and beyond." The Block reached out to Consensys for comment. The hint comes after MetaMask's forthcoming onchain rewards program, which will distribute over $30 million in Season 1, including LINEA incentives for everyday activity. MetaMask separately said the program is "one of the largest onchain rewards programs ever built" and will roll out in the next couple of weeks. The comments follow Consensys’ recent confirmation that a MetaMask token is on the way, as previously reported by The Block , and arrive less than a month after Linea’s token generation event and airdrop. Together, they suggest a broader Consensys token strategy that spans its wallet, Layer 2 network, and developer infrastructure. MetaMask said its rewards will include referrals, mUSD incentives, partner perks, and access to tokens, while emphasizing it is "not a farming play." Lubin added that Season 1 is a first step toward a larger evolution that "empowers" long-time users ahead of a MetaMask token event.
A major PEPE whale sold 314 billion PEPE and bought ETH, EIGEN, PUMP, and XPL.
BlockBeats News, on October 3, according to Onchain Lens monitoring, a PEPE whale address sold 314 billion PEPE (worth $3.16 million), exchanging them for 668.35 ETH and 203,000 USDC. Subsequently, 267.66 ETH (worth $1.178 million) was used to purchase 697,500 EIGEN. Afterwards, the whale converted part of the ETH into USDC and deposited $1.837 million USDC on the HyperLiquid platform. They used $1.02 million to purchase 151 million PUMP, and another $1.09 million to buy 1.11 million XPL.
A whale sold 314 billion PEPE for 668.35 ETH and 203,000 USDC.
According to Jinse Finance, Onchain Lens monitoring shows that this PEPE whale sold 314 billion PEPE ($3.16 million), exchanging them for 668.35 ETH and 203,000 USDC. Subsequently, the whale used 267.66 ETH ($1.178 million) to buy back 697,488 EIGEN. After that, the whale sold ETH for USDC, deposited 1.837 million USDC into HperLiquid, purchased 151.19 million PUMP for $1.02 million, and bought 1.11 million XPL for $1.09 million.
After selling 500 billion PEPE, a PEPE whale deposited 5.53 million USDC into HyperLiquid and opened a long position.
Foresight News reported, according to Onchain Lens monitoring, a PEPE whale sold 500 billion PEPE for 1,112.37 ETH (approximately $4.6 million) and 561,923 EIGEN for 188.62 ETH (approximately $819,000). Subsequently, the address swapped ETH for USDC, and after being dormant for 7 months, deposited 5.53 million USDC into HyperLiquid, opening long positions on ASTER (2x leverage) and XPL (3x leverage).
Trader Unveils Line in the Sand Price Level for Ethereum, Predicts Crypto Rallies in Coming Weeks
A closely followed crypto trader believes that Ethereum (ETH) bulls should defend a crucial price area to keep its uptrend alive. Pseudonymous analyst Inmortal tells his 235,500 followers on X that Ethereum needs to stay above its 2025 opening price to sustain its long-term bullish momentum. “Testing weekly demand. 2025 Open at $3,300 is the line in the sand.” Source: Inmortal/X At time of writing, Ethereum is worth $4,021. Despite calls that the bull market top is in for crypto, Inmortal believes that the market will soar to greater heights in the next three months. “Bull market is not over… I don’t know where it will bounce or how much it will retrace. I just know two things. It’s not over. Prices will be higher in Q4.” Looking at the altcoin market, the trader predicts that the meme token Bonk (BONK) will surge as long as it stays above $0.000018. He also notes that crypto whales have been accumulating BONK over the past few weeks. “Checking top memecoins whale inflows. I feel like they know something I don’t…” Source: Inmortal/X At time of writing, BONK is trading at $0.000019. The trader is also bullish on EigenCloud (EIGEN), a platform that aims to bring “verifiability as a service” to both on-chain and off-chain applications. Inmortal appears to be targeting $3 for EIGEN based on its technical and fundamental setups. “1. Institutions like the verifiable cloud. 2. Web3 arm of Japan’s largest telecom is joining Eigen. 3. EIGEN price action says it all. Today’s daily candle engulfing the previous one is very telling.” Source: Inmortal/X At time of writing, EIGEN is worth $1.89, up over 7% on the day. Generated Image: Midjourney
Whale Invests $1.07M in EIGEN, $121K in LINEA
Key Takeaways: Whale buys $1.07M EIGEN, injects confidence in crypto markets. EIGEN purchased at $1.9/token, LINEA at $0.028/token. Past whale activity suggests impact on token liquidity and price. Whale Invests $1.07M in EIGEN, $121K in LINEA A major cryptocurrency whale acquired $1.07 million in EIGEN and $121,000 in LINEA, utilizing 262.84 ETH and 30 ETH, respectively. This purchase did not cause immediate liquidity shifts or regulatory responses and aligns with previous large acquisitions by the same investor. The whale’s significant acquisitions in EIGEN and LINEA highlight potential increased activity and speculation in these tokens, with a possibility for short-term price impacts. The whale, linked to substantial PEPE, ENA, AAVE, and PENDLE holdings, acquired 561,923 EIGEN tokens through a 262.84 ETH transaction and 4.26 million LINEA tokens using 30 ETH. These investments underscore confidence in emerging tokens. Known for manipulating past crypto price movements, this whale aims to influence market prices and liquidity through strategic acquisitions. There are current large positions in PEPE and others, suggesting broad-ranging crypto influence. The purchases reflect substantial injections, with EIGEN trading at $1.9 per token and LINEA at $0.028. The on-chain data confirmed this whale’s address now holds $1.41 million in LINEA after the transaction. Potential regulatory scrutiny and market reaction concerns exist given the past influential trading history of this whale. Large token buys can alter trading patterns, possibly sparking speculation-driven price fluctuations or regulatory attention. Increased market liquidity and potential price adjustments might follow based on historical trading patterns. Such transactions in newcomer tokens frequently ignite market interest and volatility, affecting both liquidity and trader sentiment. No official statements or quotes attributable to any specific individual have been made regarding the recent transactions by the prominent whale. As such, there are currently no relevant quotes available from key industry figures, company leaders, or any regulatory representatives.
A PEPE whale spent about $1.2 million to buy EIGEN and LINEA tokens
according to on-chain analyst Onchain Lens (@OnchainLens), a PEPE whale spent 262.84 ETH (worth 1.07 million USD) to purchase 561,923 EIGEN tokens at a price of 1.90 USD, and also spent 30 ETH (worth 121,000 USD) to purchase 4.26 million LINEA tokens. The whale's current holdings include: 13.4 trillion PEPE tokens (worth 12.31 million USD), 19.73 million ENA tokens (worth 11.29 million USD), 26.5 thousand AAVE tokens (worth 7.08 million USD), 68.598 thousand PENDLE tokens (worth 3.14 million USD), and 50.78 million LINEA tokens (worth 1.41 million USD).
A PEPE whale spent approximately $1.2 million to purchase EIGEN and LINEA tokens.
According to a report by Jinse Finance, on-chain analyst OnchainLens (@OnchainLens) has monitored that a PEPE whale spent 262.84 ETH (worth $1.07 million) to purchase 561,923 EIGEN tokens at a price of $1.90 each, and also spent 30 ETH ($121,000) to acquire 4.26 million LINEA tokens. The whale's current holdings include: 1.34 trillion PEPE (worth $12.31 million), 19.73 million ENA (worth $11.29 million), 26,500 AAVE (worth $7.08 million), 685,980 PENDLE (worth $3.14 million), and 50.78 million LINEA (worth $1.41 million).
Can Gaia’s AI Technology Challenge Cloud Dominance of Apple, Google, OpenAI?
Artificial intelligence has quickly become a standard feature across consumer technology. Today, platforms like ChatGPT, Apple Intelligence, and Google’s Gemini process everything from search queries to personal reminders. Despite promises of stronger privacy, most processing still happens on cloud servers. This trade-off between ease and privacy raises the question: Can users truly control their digital lives if they are reliant on external servers? In an interview with BeInCrypto, Sydney Lai, Co-Founder of Gaia, outlined how the company is building toward true ‘data sovereignty,’ putting users back in control of their digital lives. Where Gaia Outpaces Cloud Assistants Gaia is a decentralized AI ecosystem designed to give users data sovereignty and ownership of their AI. The network has several products, including Gaia Domain, Gaia Agents, Gaia AI Chat, a newly released AI Phone, Edge OSS, an infrastructure solution specifically for smartphone manufacturers, and more. But what makes Gaia stand out from existing market leaders like Apple or Google, which also offer on-device AI platforms? According to Lai, Gaia’s differentiation is its commitment to local processing, ensuring that all AI operations occur on the user’s device without cloud transmission. “The key difference is complete data sovereignty rather than partial on-device capabilities. Additionally, users become stakeholders in a decentralized network, earning rewards while contributing to collective AI inference capabilities, rather than just consuming AI services,” she told BeInCrypto. She explained that Gaia addresses the ‘ownership problem’ inherent in platforms like Siri or Gemini, where users get access to generic, multi-tenant AI systems. “Existing platforms use what we call ‘one-size-fits-all’ models. They might learn some preferences, but they’re fundamentally the same AI assistant talking to everyone. Gaia Edge allows you to run your own personalized AI instance that learns specifically about your context, your workflows, and your data – without that information ever leaving your device,” she said. Lai noted that from an architectural perspective, Gaia Edge differs from Apple and Android by acting as a capability layer rather than part of an operating system, enabling true on-device AI inference. According to her, “While Apple and Android are making strides in on-device processing, they’re still primarily operating systems that happen to include AI features.” Furthermore, its integration of the Model Context Protocol (MCP) is a ‘competitive moat’. This facilitates context-driven automations from personal AI agents, informed by location and preferences, which current mainstream platforms lack. All these features sound impressive, but Lai highlighted that what’s particularly noteworthy about Gaia Chat is its offline capabilities. “Gaia Chat works in airplane mode, during poor connectivity, and processes sensitive personal context without internet dependency. Your AI maintains full knowledge of your preferences, habits, and context even offline. Unlike cloud assistants, it can handle personal financial discussions, health questions, and private thoughts without sending that data to external servers,” the executive stated. She outlined several use cases where it outpaces cloud-based assistants. Gaia Chat retains full conversational history and personal knowledge even without connectivity, unlike cloud assistants that lose context when offline. MCP integration enables instant automation of personal tasks directly on-device, without relying on APIs or the cloud. Professionals in sensitive fields (healthcare, law, therapy) can safely use Gaia since data never leaves the device, avoiding compliance risks. Local processing supports latency-critical applications like real-time language translation, voice interaction, and augmented reality (AR), which cloud systems struggle to handle due to network delays. The Gaia AI Phone and Network Economics One of Gaia’s boldest innovations is the Gaia AI Phone. Launched earlier this month, the phone doesn’t just function as a personal device but also operates as a full node in the decentralized AI network. Users can earn GAIA tokens, creating an economic incentive to support the system. Nonetheless, Gaia’s approach extends beyond rewarding raw computational power. Lai described that nodes are compensated based on a combination of factors: service quality, availability, specialized knowledge bases, and unique model configurations. In practice, this means a phone running a specialized medical AI could earn more than a powerful desktop running a generic model. Specialization, not just brute force, is positioned as the primary driver of value within the network. “The escrow smart contract system using ‘Purpose Bound Money’ creates interesting economic dynamics. When token prices drop, service providers receive more tokens per unit of electricity and compute, naturally encouraging new participants to join and diluting existing concentration. Conversely, when demand increases and token prices rise, users effectively pay premium rates, creating a supply-demand balance mechanism,” she added. Additionally, Gaia employs a domain structure in which nodes must meet specific LLM and knowledge requirements before joining, with load balancing spread evenly among qualified participants. Still, Lai acknowledged that challenges remain. These include low conversion rates and the overhead of continuous verification. “More fundamentally, the cryptoeconomic model relies heavily on staking and slashing mechanisms that haven’t been stress-tested at scale. The AVS validation system requires ‘mostly honest nodes,’ but economic incentives during market downturns could shift these ratios unpredictably,” she mentioned to BeInCrypto. How Does Gaia Counter Centralization Risks? Decentralized networks sometimes risk recreating centralization through economic or technical bottlenecks. Yet, Lai emphasized that Gaia’s architecture is designed to counter these tendencies from the ground up. She highlighted that GaiaNet employs a multi-layer decentralization strategy, where individual nodes retain full control over their models, data, and knowledge bases. “Domain operators provide trust and discovery services but cannot control the underlying nodes’ operations or data. The DAO governance layer ensures no single entity can unilaterally change network rules,” The Gaia co-founder remarked. On the economic side, Gaia integrates built-in decentralization incentives into its tokenomics. Moreover, the staking process distributes verification across many holders. Revenue also flows directly from domains to nodes through smart contracts, limiting ‘intermediate capture.’ Technically, each node runs on the WasmEdge runtime with standardized, OpenAI-compatible APIs. This allows seamless movement between domains and reduces the risk of vendor lock-in. “Knowledge bases and fine-tuned models remain with node operators as NFT-based assets, creating portable digital property rights,” Lai commented. Lastly, ‘Purpose-Bound Money’ further blocks intermediaries from capturing value without providing service. Can Gaia Run Within Your Jurisdiction? Beyond centralization challenges, compliance with local regulations has long been a weak spot for crypto and AI. Lai also stressed this is still an ‘evolving area’ for Gaia. “Cross-border scenarios where a French user accesses a German node create complex jurisdictional questions,” she stated. Still, Lai argued that local inference shifts the landscape by allowing each node to adapt to its own jurisdiction. “Each Gaia node can be configured with region-specific compliance parameters. For example, nodes operating in California could implement CCPA-specific data retention policies, while European nodes might have stricter anonymization requirements. The WasmEdge runtime provides isolated execution environments that can enforce these compliance rules at the hardware level,” she revealed. Lai pointed out that Gaia’s core advantage lies in its ‘data sovereignty by design.’ Because data never leaves the local node, a user in Germany running Gaia with local inference keeps all personal data and conversations within German jurisdiction. This approach inherently addresses many GDPR requirements related to data residency and cross-border transfers. Moreover, the executive cited the research paper, noting that EigenLayer AVS can verify that nodes are running the correct models and knowledge bases. She added that this mechanism can also extend to compliance checks, with validators periodically auditing nodes to confirm adherence to jurisdiction-specific requirements such as data handling, logging, and retention policies. “While conversations stay local, nodes can generate cryptographically signed compliance logs that prove adherence to regulations without exposing user data. These logs can demonstrate consent management, data processing purposes, and retention compliance to regulators while maintaining privacy,” Lai elaborated. Ethical Guardrails: Mitigating Misuse in a Permissionless Ecosystem While giving users full control of their AI and data empowers individuals, it also risks misuse, such as running biased or harmful models locally. As Lai clarified, Gaia coordinates risks via: Domain-Level Governance: Operators set requirements for acceptable models within their domain, restricting harmful or biased ones from earning rewards or gaining traction. AVS Validation: The EigenLayer AVS research demonstrates how the network can verify that nodes run their advertised models. In theory, it could also identify harmful models, though the scope remains limited for now. Economic Disincentives: Staking and slashing penalize malicious activity, creating financial pressure toward responsible behavior. Despite this, Lai acknowledged that there are still some critical gaps in the current framework. “The documentation reveals several concerning limitations. The system explicitly allows for ‘politically incorrect’ responses and models that can ‘answer requests in a specific style (e.g., to mimic a person),’ capabilities that could easily enable harassment or impersonation. The permissionless nature means anyone can run nodes with whatever models they choose, regardless of ethical considerations.’ She underlined that the verification system merely confirms whether nodes operate the models they claim, without assessing their ethical quality. As a result, even a node openly running a biased model could still pass all verification checks. Gaia to Launch AI Agent Deployment Interface in Winter 2025 Despite all the tech breakthroughs, Gaia is not done. Lai revealed that the network is preparing to launch its user interface for deploying AI agents in Winter 2025. She also described the design philosophy and approach to BeInCrypto. “Our approach centers on chat as the primary interface – not because we’re building ‘another ChatGPT clone,’ but because conversational interaction is the most intuitive way for users to communicate intent to AI systems. The complexity of agent deployment is abstracted away behind natural language interactions. Launching autonomous workflow automation is conducted through the Chat interface with MCP,” she disclosed to BeInCrypto. The company is also adopting what it calls a ‘progressive disclosure’ model. Instead of overwhelming users with configuration options at the start, the software introduces more advanced controls only as individuals become comfortable with the system. Onboarding, meanwhile, adapts to each device and user environment, offering personalized guidance instead of generic tutorials. Finally, Gaia is handling the technical complexity behind the scenes via Edge OSS. Resource allocation, model deployment, and security protections are managed transparently. So, users can retain control over how their AI behaves without needing to understand the underlying hardware. Gaia’s vision, as articulated by Lai, reframes AI from corporate utility to personal dominion, potentially reshaping the balance between innovation and individual agency in a data-saturated world. Its success will hinge on bridging technical promise with economic and ethical resilience as adoption scales.
Token Unlock Schedules and Tokenomics Data: A Key Resource for Professionals
Sui Blockchain’s Projected Growth: Sui’s tokenomics reveals accelerated growth from 2025, with significant milestones ahead, offering insights for long-term strategies. EigenCloud’s Rapid Expansion: Formerly EigenLayer, EigenCloud shows promising scaling projections, particularly around 2026. Token Unlock Data for Professionals: Platforms like Sui and EigenCloud offer transparent tokenomics, providing critical insights into unlock. . The increasing complexity of blockchain tokenomics requires professionals to have access to precise and timely data. Having clear insights into token unlock schedules and growth projections is vital for understanding market movements and blockchain evolution. Platforms like Sui and EigenCloud are offering valuable data on tokenomics and their expected growth patterns, allowing experts to make informed decisions in an ever-changing market. Sui Blockchain’s Rapid Growth and Tokenomics Transparency The Sui blockchain, recognized as a leading Layer 1 solution, has seen notable growth projections in recent months. Data reveals an accelerated increase in its token distribution from 2025 onwards, with significant milestones expected as early as mid-2025. The stacked area charts clearly depict the sharp increase in value expected beyond 2025, especially as the platform matures. Different colors in the chart represent various metrics contributing to the blockchain’s overall value, with each layer growing more substantial in future years. Source: Tokenomist The use of this data allows professionals to track the progress of token distribution and staking rewards. With projections spanning until 2030, experts are getting a clear look at how SUI tokens will evolve over the next several years. The tokenomics also suggest that staking will play a significant role in enhancing network security and liquidity, highlighting the increasing utility of the Sui blockchain in decentralized applications. Sui’s commitment to transparency in its tokenomics and scheduled unlocks provides critical insights into how the platform will perform over the long term. As the blockchain ecosystem grows, professionals can track and assess the potential of Sui as a leading Layer 1 blockchain. Its tokenomics system provides much-needed clarity about upcoming token releases and staking rewards, enabling stakeholders to make data-driven decisions. EigenCloud’s Tokenomics and Growth Projections EigenCloud, formerly known as EigenLayer, focuses on offering decentralized cloud services. Its tokenomics data reveals impressive growth patterns that professionals can use to evaluate future performance. Like Sui, EigenCloud’s growth is expected to surge dramatically between 2025 and 2027, with various factors contributing to its expansion. Source: Tokenomist The detailed projections suggest that EigenCloud will see rapid scaling in its decentralized services, especially as it moves into its next phase. This timeline is backed by the platform’s ability to support decentralized applications, enhancing Ethereum’s security and liquidity. The color-coded layers in the data charts provide a comprehensive view of how EigenCloud’s growth will unfold across different areas, with a sharp focus on token distribution and staking rewards. With a robust token unlock schedule and a clear tokenomics structure, EigenCloud is positioning itself for sustained success. Professionals tracking these changes will gain valuable insights into how these unlock events will impact the platform’s value. The upcoming transitions, particularly those around 2026, are poised to bring significant changes that could redefine cloud services and decentralized computing. Accessing Comprehensive Data for Strategic Decisions Both Sui and EigenCloud present exceptional data on their tokenomics and unlock schedules, making them indispensable tools for professionals. Access to this data provides a distinct advantage in understanding market dynamics and the growth trajectory of these blockchain projects. By staying informed on token unlock events, professionals can prepare for the next big shift in the market and adjust their strategies accordingly. Source: Tokenomist The future of decentralized technologies relies on clearand accurate projections that enable professionals to make informeddecisions based on data rather than speculation. By offering real-time insights into token unlock schedules and long-term projections, platforms like Sui and EigenCloud are empowering experts to navigate the complex blockchain landscape with confidence.
Celestia Upgrade and Proof-of-Governance: A Turning Point for TIA?
Celestia is entering a pivotal stage with two fundamental changes: the Matcha upgrade and the proposed Proof-of-Governance (PoG). These technical improvements and a restructuring of tokenomics could transform TIA from a highly inflationary token into a potentially deflationary asset. With rising community expectations and a rapidly expanding ecosystem, the question is: Can TIA break out strongly in the coming years? Matcha: Technical upgrade and supply tightening According to Celestia’s official announcement, the Matcha upgrade will increase block size to 128MB, optimize block propagation, and improve performance under proposal CIP-38. More importantly, the CIP-41 proposal reduces annual inflation from around 5% to 2.5%, directly tightening TIA’s circulating supply. This change makes TIA more attractive to long-term investors and strengthens its role as a potential collateral asset in DeFi. Inflation rate over time for Celestia. Source: Celestia Beyond supply dynamics, Matcha also expands available “blockspace” for rollups, removes token-filter barriers for IBC/Hyperlane, and positions Celestia as the central data availability (DA) layer for other chains. This lays the foundation for new revenue streams, as DA fees from rollups could be channeled to support TIA’s value in the future. PoG: The path toward a deflationary token? The next highlight is the Proof-of-Governance (PoG) proposal. According to Kairos Research, PoG could lower annual issuance to just 0.25% — a 20x reduction from current levels. With such a sharp drop in issuance, the revenue threshold required to push TIA into net-deflationary status becomes very low. “Our analysis shows that TIA can potentially transition from an inflationary token to a deflationary, or near zero-inflation asset under the right conditions,” Kairos Research noted. Some experts argue that even DA fees alone may be enough to push TIA into deflationary territory. Adding new revenue streams, such as an ecosystem stablecoin or revenue-generating DATs, could “completely flip TIA’s tokenomics story”. This perspective strengthens community confidence that Celestia could become a model for aligning token value with real business performance. Even Celestia Co-founder Mustafa Al-Bassam, who was once skeptical of PoG, has changed his stance. He compared the system to resilient decentralized structures like ICANN and IANA, which have outlasted centralized applications without concentrating power. “This perspective aligns with Celestia’s vision: by enabling verifiable light nodes, the network ensures that validators need not be trusted for correctness, preserving security without concentrating power,” Mustafa Al-Bassam shared. If Celestia delivers, PoG could be an extremely positive step for the entire network. TIA: High expectations, but risks remain On the price front, TIA has recently corrected downward, reflecting short-term bearish technical signals such as RSI, MACD, and net capital outflows. At the time of writing, BeInCrypto data shows TIA trading more than 93% below its February 2024 ATH. TIA price chart. Source: BeInCrypto With such volatility, market sentiment remains largely pessimistic. Some investors argue that TIA exemplifies the saying, “don’t marry your bags.” The hype from the airdrop 18–24 months ago, combined with venture investors continuously unlocking tokens and suppressing its value, has weighed heavily on the token. Some even described TIA’s chart as “pain and suffering!” Therefore, these new proposals and the $100 million treasury could become a lifeline for the project. Still, the key lies in execution. PoG requires community approval, revenue distribution, and transparent buyback/burn mechanisms, and the number of rollups using Celestia must be large enough to generate sustainable DA fee revenue. If DA revenue fails to grow quickly or competitors like EigenDA pull ahead, the deflationary scenario could be delayed.
Web3 firm NTT Digital partners with EigenLayer to accelerate restaking adoption
The alliance aims to bring institutional-level efficiency to restaking. The deal bridges web3 technology with the traditional enterprise infrastructure. EIGEN price rebounded after the announcement. The web3 branch of Japan’s telecom giant NTT Group has announced a strategic collaboration with EigenLayer’s infrastructure provider EigenCloud. As part of this partnership, NTT Digital will run the data availability layer, EigenDA, as a validator, strengthening the ecosystem’s security and reliability. NTT Digital is proud to announce a landmark collaboration with EigenCloud ( @eigenlayer ). Rooted in the trusted heritage of the NTT Group and driven by web3 innovation, we are proud to operate EigenDA ( @eigen_da ) as a validator and accelerate the growth of the restaking ecosystem.… pic.twitter.com/yhERI2poOr — NTT Digital (@nttdigital_io) September 24, 2025 The X post highlights NTT Digital’s broader goal of pushing the decentralized economy. As an EigenDA validator, the web3 firm will directly participate in enriching the restaking sector, a feature that has seen massive traction among crypto enthusiasts looking to secure many platforms leveraging shared Ethereum trust. Restaking ensures capital efficiency by enabling individuals to stake the same assets on the primary blockchain and other networks, consequently securing many networks concurrently. Users can enjoy additional rewards for securing more protocols, though with amplified slashing risks. Bolstering the restaking sector EigenLayer’s restaking mechanism has been among the most-watched innovations within the Ethereum ecosystem in the past few months. The model creates a shared security environment by allowing individuals to restake ETF to secure other blockchains. Besides boosting security, EigenLayer’s restaking approach reduces the barriers for launching new protocols. With NTT Digital as a validator, EigenLayer gets a reputational boost and additional infrastructure backing. Such an environment could attract more developers and enterprises to explore EigenLayer’s capabilities as a network for creating dApps. That will enhance demand for native EIGEN in the coming times. NTT Digital brings its experience in running scalable, secure infrastructure that could be essential as EigenDA supports multiple applications. Validator diversity translates to stable uptime, which is crucial in ensuring trust in restaking. Working with enterprise players like NTT guarantees the EigenLayer community that the data availability layer will remain reliable even amid skyrocketed demand. EIGEN’s growing demand The altcoin plays a key role within the EigenLayer platform, aligning incentives. Validators receive EIGEN as rewards. Also, the token supports restaking activities and network upgrade governance. Increasing adoptions means growing roles for EIGEN as an economic and decision-making instrument. Success by NTT Digital as a validator could draw more corporates to the platform, boosting EIGEN’s demand further. EIGEN price outlook EigenLayer’s native token displayed recoveries following the news. It trades at $1.78, up 2.5% on its daily chart after a notable rebound. EIGEN has maintained impressive price actions in the past few sessions. The coin gained nearly 20% and over 35% the past week and month. Technical indicators suggest EIGEN could lead the next leg up in the broader crypto market. The MACD and RSI on the daily timeframe show buyer presence. Also, EIGEN boasts reliable support as it trades above the 50- and 100 Exponential Moving Averages.
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