# Robinhood Chain — X 热门讨论 (2026-10-09 15:42 UTC)
## @thehoodparody (Robinhood Parody) · 10-09 13:04 · ♥197 ↻106 💬0 ROBINHOOD CHAIN - KEEP THIS ONE ON YOUR RADAR! 🚀
Early opportunities growing communities, and fresh momentum are what make this ecosystem worth watching. 👀
The real power comes when the community gets active, more eyes start noticing, and momentum begins to build. 💎
Still watching the early moves? Keep this one on your radar before the crowd catches on. 🔥
📊 Chart: https://t.co/4jGEbNVgCe
📝 CA: 0x88401f04a9af8326ccd642d64192442875d8378f7f5b324ac2449c481831ff9
DYOR / NFA. 💯 https://x.com/thehoodparody/status/2108544076455055464
## @Ishaq0x_ (Ishaq) · 10-09 13:12 · ♥60 ↻1 💬69 Good afternoon gZaps
ZeruAI is making behavioral intelligence easier to access
One update that caught my attention is that ZeruAI’s behavior intelligence is now live across multiple block explorers, including Etherscan, BaseScan, BscScan, Arbiscan, Optimistic Etherscan, PolygonScan, Lineascan, and Robinhood Chain Explorer.
Why does this matter?
Your onchain activity can tell a story beyond your wallet balance. @zerufinance zScore turns behavioral signals into a trust score, giving users another way to understand their onchain profile.
Through the Zaps ecosystem, users can also check their zScore, claim Zaps, enter the Hall of Fame, and participate in campaigns.
The update says 25,000+ Zappers are already onboard.
I like this direction because behavioral intelligence becomes more useful when people can access it where they already explore onchain activity, rather than having to discover a completely separate platform first https://x.com/Ishaq0x_/status/2108546027766608096
## @ianheinischmma (Ian Heinisch) · 10-09 14:38 · ♥73 ↻10 💬33 Dear @vladtenev,
BRO!!! SAY SOMETHING!
SOFT SHILL SOMETHING!
ANNOUNCE SOMETHING!
DO SOMETHING!!!
Sincerely, The entire Robinhood chain. https://t.co/wINTXbUdvT https://x.com/ianheinischmma/status/2108567660883579359
## @Tradinator33 (Tradinator) · 10-09 07:55 · ♥120 ↻0 💬6 Don't fucking fade $BATON bro
CASHCAT showed you what happens when crypto turns a forgotten thing of company history into a meme Robinhood was once called CashCat then RH launched its own chain and CASHCAT became the biggest meme on it
now look at $BATON Pumpfun didn't always have the Pumpfun name Baton was there first
if CASHCAT could turn Robinhood's old identity into a 9 digit memecoin meme, why couldn't BATON do the same with the biggest memecoin launchpad in crypto? https://x.com/Tradinator33/status/2108466263806583110
## @bigchog (bigchog) · 10-09 13:39 · ♥62 ↻0 💬31 robinhood chain has been bleeding a lot lately
here's how the top 10 tickers look now, compared to their ATH
do you think they can ever see these levels again? https://t.co/xOxlIGwSEP https://x.com/bigchog/status/2108552941418225988
## @dayothev1 (Dayo) · 10-09 09:33 · ♥60 ↻1 💬27 Just secured @ComputersRh spots for dysfunctional amigos
Computers RH is a PC-building game on Robinhood Chain. Collect computer parts (GPUs, CPUs, mainboards, fans and more) and put together your dream PC, piece by piece, as you grow your system.
Raffles live on discord 🫡❤️ https://t.co/v6NwjSue00 > 引用 @dayothev1: Just submitted collab applications for my communities
Free mint and only 3333 supply
I like the whitelist distribution :
1,889 Collabs 1,111 Players 333 Creators
Congratulations to @0xArtix for this smooth process https://x.com/dayothev1/status/2108491071923663017
## @NorthPraetor (winter) · 10-09 11:15 · ♥60 ↻1 💬1 Everyone screaming that Robinhood chain is base 2.0 is either paid by Pumpfun and Alon or the State of Israel
Bottom https://x.com/NorthPraetor/status/2108516679206797386
## @lympid_official (LYMPID | Tokenize Securities) · 10-09 10:01 · ♥62 ↻0 💬0 Hi friend 👋🏼
This week brought us a little bit of everything: a dinosaur worth millions, a difficult question about crypto valuations, a glimpse into how AI may reshape professional work, and a Bitcoin rally that appears determined to ignore the macro warnings.
𝗧𝗵𝗲 𝗪𝗲𝗲𝗸𝗹𝘆 𝗙𝘂𝗻 𝗙𝗮𝗰𝘁 🤔
𝗔 $𝟵 𝗠𝗶𝗹𝗹𝗶𝗼𝗻 𝗗𝗶𝗻𝗼𝘀𝗮𝘂𝗿 𝗛𝗲𝗮𝗱𝘀 𝘁𝗼 𝗔𝘂𝗰𝘁𝗶𝗼𝗻
There are rare collectibles, and then there are objects that have survived for approximately 67 million years.
Sotheby’s will offer a remarkably complete Nanotyrannus skeleton named “Jodi” at a live auction in New York on October 27. The fossil is expected to sell for between $6 million and $9 million.
Jodi Pierson discovered the skeleton on her privately owned ranch in Montana’s Hell Creek Formation in 2019. Her cousin, commercial paleontologist Clayton Phipps, subsequently led the excavation, which was documented in the Discovery Channel series Dino Hunters.
At 6.5 feet tall and 19.6 feet long, Jodi includes an almost complete skull containing 53 bones and 35 teeth. The skeleton also retains all four claws, a complete pelvis, a wishbone and a femur. The auction will bring one of only three known Nanotyrannus skeletons to the market, giving collectors access to a specimen of genuine scientific importance.
𝗝𝗼𝗱𝗶 𝗶𝘀 𝗻𝗼𝘁 𝗺𝗲𝗿𝗲𝗹𝘆 𝗮𝗻 𝗲𝘅𝗰𝗲𝗽𝘁𝗶𝗼𝗻𝗮𝗹𝗹𝘆 𝗼𝗹𝗱 𝗰𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗯𝗹𝗲. 𝗧𝗵𝗲 𝘀𝗸𝗲𝗹𝗲𝘁𝗼𝗻 𝗵𝗲𝗹𝗽𝗲𝗱 𝘀𝗲𝘁𝘁𝗹𝗲 𝗮𝗻 𝟴𝟰-𝘆𝗲𝗮𝗿 𝘀𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗱𝗲𝗯𝗮𝘁𝗲 𝗼𝘃𝗲𝗿 𝘄𝗵𝗲𝘁𝗵𝗲𝗿 𝗡𝗮𝗻𝗼𝘁𝘆𝗿𝗮𝗻𝗻𝘂𝘀 𝘄𝗮𝘀 𝗮 𝘀𝗲𝗽𝗮𝗿𝗮𝘁𝗲 𝗴𝗲𝗻𝘂𝘀 𝗼𝗿 𝘀𝗶𝗺𝗽𝗹𝘆 𝗮 𝘆𝗼𝘂𝗻𝗴 𝗧𝘆𝗿𝗮𝗻𝗻𝗼𝘀𝗮𝘂𝗿𝘂𝘀 𝗿𝗲𝘅.
Research published last year concluded that Nanotyrannus was indeed a distinct dinosaur. Scientists identified more than 150 anatomical differences between it and the T. rex, including substantial differences in body length and tooth count.
The estimate looks almost modest compared with recent fossil sales. Gus, one of the largest and most complete T. rex skeletons ever found, sold for a record $50.1 million earlier this year. A few years before that, Ken Griffin paid $45 million for Apex, a Stegosaurus skeleton.
Those results show how dinosaur fossils now occupy an unusual space between natural history, scientific research and the international collectibles market. Museums may value the public and academic significance of a specimen, but private collectors can often bring far greater purchasing power to the auction room.
𝗜𝗳 𝗝𝗼𝗱𝗶 𝗿𝗲𝗮𝗰𝗵𝗲𝘀 𝗶𝘁𝘀 𝗲𝘀𝘁𝗶𝗺𝗮𝘁𝗲, 𝘁𝗵𝗲 𝘀𝗮𝗹𝗲 𝘄𝗶𝗹𝗹 𝗿𝗲𝗶𝗻𝗳𝗼𝗿𝗰𝗲 𝘁𝗵𝗲 𝗶𝗱𝗲𝗮 𝘁𝗵𝗮𝘁 𝘀𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝗰𝗲, 𝗲𝘅𝗰𝗲𝗽𝘁𝗶𝗼𝗻𝗮𝗹 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲𝗻𝗲𝘀𝘀 𝗮𝗻𝗱 𝗲𝘅𝘁𝗿𝗲𝗺𝗲 𝘀𝗰𝗮𝗿𝗰𝗶𝘁𝘆 𝗰𝗮𝗻 𝗰𝗿𝗲𝗮𝘁𝗲 𝗮 𝗺𝘂𝗹𝘁𝗶𝗺𝗶𝗹𝗹𝗶𝗼𝗻-𝗱𝗼𝗹𝗹𝗮𝗿 𝗺𝗮𝗿𝗸𝗲𝘁 𝗳𝗼𝗿 𝗻𝗮𝘁𝘂𝗿𝗮𝗹-𝗵𝗶𝘀𝘁𝗼𝗿𝘆 𝗮𝘀𝘀𝗲𝘁𝘀.
Not a bad return for something that spent most of the last 67 million years underground.
🔴 𝗘𝘁𝗵𝗲𝗿𝗲𝘂𝗺’𝘀 $𝟯𝟮𝟲 𝗕𝗶𝗹𝗹𝗶𝗼𝗻 𝗥𝗲𝘃𝗲𝗻𝘂𝗲 𝗣𝗿𝗼𝗯𝗹𝗲𝗺
Ethereum has an estimated market value of approximately $326 billion, yet it generated only about $64 million in chain revenue over the past 12 months.
On a simple price-to-revenue calculation, that places ETH at roughly 5,100 times annual revenue. It is an extraordinary multiple compared with conventional companies, but the calculation also exposes a disagreement over what ETH is supposed to represent.
DefiLlama counts revenue as the fees burned or transferred to a blockchain’s treasury. Validator payments do not count. For Ethereum, this means that reported revenue largely corresponds to ETH permanently removed from circulation through burning.
The difficulty is that Ethereum deliberately reduced the cost of using its network. Its 2024 Dencun upgrade made transactions significantly cheaper for Layer 2 networks, allowing more activity to occur without producing equally large fees for Ethereum itself.
Robinhood Chain provides a striking example. During its first two weeks, the network reportedly generated approximately $816,000 in fees. Robinhood retained around 89 percent, Arbitrum received approximately 10 percent, and Ethereum captured just $1,538, or about 0.15 percent.
The gap between Ethereum’s valuation and the revenue retained by the network raises a fundamental issue for ETH holders. Ethereum can host substantial economic activity without necessarily capturing a meaningful share of that activity as revenue.
𝗜𝗳 𝗘𝗧𝗛 𝗶𝘀 𝘃𝗮𝗹𝘂𝗲𝗱 𝗮𝘀 𝗮 𝗿𝗲𝘃𝗲𝗻𝘂𝗲-𝗽𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗮𝘀𝘀𝗲𝘁, 𝘁𝗵𝗲 𝗰𝘂𝗿𝗿𝗲𝗻𝘁 𝗻𝘂𝗺𝗯𝗲𝗿𝘀 𝗮𝗿𝗲 𝗱𝗶𝗳𝗳𝗶𝗰𝘂𝗹𝘁 𝘁𝗼 𝗱𝗲𝗳𝗲𝗻𝗱 𝘂𝘀𝗶𝗻𝗴 𝗰𝗼𝗻𝘃𝗲𝗻𝘁𝗶𝗼𝗻𝗮𝗹 𝗳𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗺𝗼𝗱𝗲𝗹𝘀.
That does not automatically mean Ethereum is mispriced. Supporters increasingly describe ETH as a form of scarce monetary collateral or digital land rather than as equity in a software company. Under this interpretation, the value comes from Ethereum’s position as a settlement layer, its security and its use throughout decentralised finance.
Applications built on Ethereum can have a much more direct relationship with revenue. Hyperliquid, for example, reportedly retained around 12 times more revenue than Ethereum burned last month, despite having approximately one-sixteenth of Ethereum’s market value.
Protocols such as Uniswap, Aerodrome and Sky are also developing mechanisms that connect activity with token-holder economics through buybacks, burns or distributions. These mechanisms can make valuation easier to understand, provided the revenue exceeds the value of newly issued tokens used as incentives.
𝗖𝗿𝘆𝗽𝘁𝗼 𝗶𝗻𝘃𝗲𝘀𝘁𝗼𝗿𝘀 𝗮𝗿𝗲 𝗶𝗻𝗰𝗿𝗲𝗮𝘀𝗶𝗻𝗴𝗹𝘆 𝗯𝗲𝗶𝗻𝗴 𝗮𝘀𝗸𝗲𝗱 𝘁𝗼 𝗱𝗶𝘀𝘁𝗶𝗻𝗴𝘂𝗶𝘀𝗵 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝗻𝗲𝘁𝘄𝗼𝗿𝗸𝘀 𝘃𝗮𝗹𝘂𝗲𝗱 𝗹𝗶𝗸𝗲 𝘀𝗰𝗮𝗿𝗰𝗲 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗮𝗻𝗱 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝘃𝗮𝗹𝘂𝗲𝗱 𝗮𝗰𝗰𝗼𝗿𝗱𝗶𝗻𝗴 𝘁𝗼 𝘁𝗵𝗲 𝗰𝗮𝘀𝗵 𝗳𝗹𝗼𝘄𝘀 𝘁𝗵𝗲𝘆 𝗰𝗮𝗻 𝗰𝗮𝗽𝘁𝘂𝗿𝗲.
Ethereum may ultimately justify its valuation through monetary demand and its role as financial infrastructure. But if more activity migrates to Layer 2 networks without creating value for ETH itself, the question surrounding value capture will become harder to ignore.
🟡 𝗔𝗜 𝗕𝗲𝗮𝘁𝘀 𝗔𝗰𝗰𝗼𝘂𝗻𝘁𝗮𝗻𝘁𝘀, 𝗯𝘂𝘁 𝗡𝗼𝘁 𝗔𝗰𝗰𝗼𝘂𝗻𝘁𝗶𝗻𝗴
A recent Mercor study compared 12 professional accountants with frontier AI models on a series of real-world accounting tasks.
The participating accountants had an average of 5.4 years of experience. Ten were senior accountants or managers, and half had previously worked at Big Four firms. Despite that experience, the human participants reportedly achieved an average score of approximately 37 percent and required between 30 and 180 minutes to complete the assignments.
Claude Opus 5 achieved a perfect score across 20 solo attempts and completed each assignment in less than ten minutes. More surprisingly, accountants using Claude were reportedly about 15 times slower than the model working by itself.
The experiment suggests that frontier models can already outperform experienced professionals on specific accounting tasks, even when those professionals are given access to the same technology.
𝗧𝗵𝗲 𝗿𝗲𝘀𝘂𝗹𝘁𝘀 𝗮𝗿𝗲 𝗮 𝘀𝗲𝗿𝗶𝗼𝘂𝘀 𝘄𝗮𝗿𝗻𝗶𝗻𝗴 𝗳𝗼𝗿 𝗮𝗻𝘆 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝘄𝗵𝗼𝘀𝗲 𝘃𝗮𝗹𝘂𝗲 𝗱𝗲𝗽𝗲𝗻𝗱𝘀 𝗺𝗮𝗶𝗻𝗹𝘆 𝗼𝗻 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗶𝗻𝗴 𝗿𝗲𝗽𝗲𝗮𝘁𝗮𝗯𝗹𝗲, 𝗿𝘂𝗹𝗲𝘀-𝗯𝗮𝘀𝗲𝗱 𝘁𝗮𝘀𝗸𝘀.
But outperforming accountants on isolated assignments is not the same as replacing an accounting department. Current models cannot independently collect every required record, resolve ambiguous transactions, maintain internal controls, take responsibility for judgments and close a complex company’s books from beginning to end.
The more realistic outcome is that the job changes. Software has already removed enormous amounts of manual work from finance departments. Spreadsheets replaced many calculations once completed by entire floors of employees, but they did not eliminate the need for financial professionals.
AI could follow a similar path at a much greater speed. Routine reconciliation, classification and document review may require fewer people. Human work may shift towards oversight, judgment, client communication, internal controls and decisions involving incomplete or contradictory information.
There are already signs of pressure in some of the industries most exposed to AI. Since mid-2025, finance and technology have reportedly lost 246,000 jobs, while other industries added 812,000. That does not prove that AI caused every lost position, but the divergence deserves attention.
𝗔𝗜 𝗶𝘀 𝘂𝗻𝗹𝗶𝗸𝗲𝗹𝘆 𝘁𝗼 𝗲𝗹𝗶𝗺𝗶𝗻𝗮𝘁𝗲 𝗮𝗰𝗰𝗼𝘂𝗻𝘁𝗶𝗻𝗴 𝗮𝘀 𝗮 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻, 𝗯𝘂𝘁 𝗶𝘁 𝗺𝗮𝘆 𝘀𝗵𝗮𝗿𝗽𝗹𝘆 𝗿𝗲𝗱𝘂𝗰𝗲 𝘁𝗵𝗲 𝘃𝗮𝗹𝘂𝗲 𝗼𝗳 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗶𝗻𝗴 𝘁𝗮𝘀𝗸𝘀 𝘁𝗵𝗮𝘁 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗰𝗮𝗻 𝗻𝗼𝘄 𝗽𝗲𝗿𝗳𝗼𝗿𝗺 𝗳𝗮𝘀𝘁𝗲𝗿, 𝗺𝗼𝗿𝗲 𝗰𝗵𝗲𝗮𝗽𝗹𝘆 𝗮𝗻𝗱 𝗺𝗼𝗿𝗲 𝗮𝗰𝗰𝘂𝗿𝗮𝘁𝗲𝗹𝘆.
The transition will create winners and losers. Businesses may become more productive, and professionals who know how to supervise these systems could handle much more work. At the same time, entry-level roles traditionally used to train future senior professionals may become harder to justify.
The central question is therefore not whether accountants disappear. It is whether companies can redesign the profession without removing the experience and training needed to produce the next generation of trusted financial experts.
🟢 𝗕𝗶𝘁𝗰𝗼𝗶𝗻 𝗥𝗮𝗹𝗹𝗶𝗲𝘀 𝗔𝗴𝗮𝗶𝗻𝘀𝘁 𝗮 𝗥𝗶𝘀𝗸-𝗢𝗳𝗳 𝗕𝗮𝗰𝗸𝗱𝗿𝗼𝗽
The broader macro picture is deteriorating, but Bitcoin appears unwilling to follow it.
The Milk Road Macro Index fell from -0.84 to -1.05, placing its allocation signal firmly in risk-off territory. Market momentum caused the entire weekly decline, while the economic pillar remained comparatively strong.
Bond markets are creating much of the pressure. The MOVE index, which measures expected volatility in US Treasury markets, reached 107.29, while the ten-year Treasury yield climbed to 5.24 percent. These conditions make borrowing more expensive and can place pressure on equities and other risk-sensitive investments.
The labour data added another complication. September payroll growth reportedly slowed to 29,000 jobs, the weakest figure of the current cycle. Markets responded by assigning approximately an 85 percent probability to the Federal Reserve holding interest rates steady in October.
Normally, weaker employment numbers could support bonds by increasing expectations of lower rates. Instead, Treasury yields remained elevated, suggesting that investors are not yet convinced inflation and geopolitical risks are under control.
Against that backdrop, the return of Bitcoin to a bull market despite deteriorating macro indicators is particularly notable. Crypto had been under pressure for an extended period, so part of the rally may simply represent a recovery towards more normal valuation levels.
𝗕𝗶𝘁𝗰𝗼𝗶𝗻’𝘀 𝗿𝗲𝗰𝗲𝗻𝘁 𝘀𝘁𝗿𝗲𝗻𝗴𝘁𝗵 𝘀𝘂𝗴𝗴𝗲𝘀𝘁𝘀 𝘁𝗵𝗮𝘁 𝗰𝗿𝘆𝗽𝘁𝗼-𝘀𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗱𝗲𝗺𝗮𝗻𝗱 𝗶𝘀 𝗰𝘂𝗿𝗿𝗲𝗻𝘁𝗹𝘆 𝗼𝘂𝘁𝘄𝗲𝗶𝗴𝗵𝗶𝗻𝗴 𝘁𝗵𝗲 𝗽𝗿𝗲𝘀𝘀𝘂𝗿𝗲 𝗰𝗼𝗺𝗶𝗻𝗴 𝗳𝗿𝗼𝗺 𝗯𝗼𝗻𝗱 𝘃𝗼𝗹𝗮𝘁𝗶𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝘁𝗶𝗴𝗵𝘁𝗲𝗿 𝗳𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗰𝗼𝗻𝗱𝗶𝘁𝗶𝗼𝗻𝘀.
The divergence is encouraging, but it remains vulnerable. Bitcoin has often traded like a high-risk technology asset, especially when investors rapidly reduce exposure across global markets. A sharp equity correction could therefore test whether the current rally represents genuine independence or only a temporary delay.
The wider economy remains stronger than the headline risk signal might suggest. Jobless claims are near 57-year lows, and core personal consumption expenditure inflation is running at 0.2 percent month over month. However, the Atlanta Fed’s GDPNow estimate has reportedly fallen from 5 percent to 3.7 percent following weakness in goods trade.
Several developments could improve the outlook, including an explicit Federal Reserve pause, an easing of geopolitical tensions around the Strait of Hormuz or a decline in bond volatility. The US inflation report scheduled for October 14 will provide the next major test.
𝗙𝗼𝗿 𝗻𝗼𝘄, 𝗕𝗶𝘁𝗰𝗼𝗶𝗻 𝗶𝘀 𝗱𝗲𝗺𝗼𝗻𝘀𝘁𝗿𝗮𝘁𝗶𝗻𝗴 𝗿𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝗰𝗲 𝗮𝘁 𝗽𝗿𝗲𝗰𝗶𝘀𝗲𝗹𝘆 𝘁𝗵𝗲 𝗺𝗼𝗺𝗲𝗻𝘁 𝘄𝗵𝗲𝗻 𝘁𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗿𝗶𝘀𝗸 𝗶𝗻𝗱𝗶𝗰𝗮𝘁𝗼𝗿𝘀 𝘀𝘂𝗴𝗴𝗲𝘀𝘁 𝗶𝗻𝘃𝗲𝘀𝘁𝗼𝗿𝘀 𝘀𝗵𝗼𝘂𝗹𝗱 𝗯𝗲 𝗯𝗲𝗰𝗼𝗺𝗶𝗻𝗴 𝗺𝗼𝗿𝗲 𝗱𝗲𝗳𝗲𝗻𝘀𝗶𝘃𝗲.
That does not remove the macro risks. It does, however, show that Bitcoin’s market cycle can occasionally move on its own timetable. https://x.com/lympid_official/status/2108498169034113299