BRC · 492

Community users suggest a bug with unlimited token issuance in the Alkanes protocol. An address has already minted 100 million DIESEL

In comparison to Twitter, according to feedback from community user @CG_BRC20, there was a serious bug in the Alkanes protocol, and tokens were issued indefinitely. An address just used a BUG, and 100 million more $DIESEL were added out of thin air. The official Espo streaming browser of the agreement and the assets on the Subfrost interface cannot be displayed. Users holding this asset should be aware of the risk. According to reports, the Alkanes official TG group administrator temporarily reported that the funds were safe.

51d ago

CryptoQuant: Less than 0.01 BTC transactions rose to 80%, a record high in recent years

In comparison, Julio Moreno, head of research at CryptoQuant, said that transactions below 0.01 BTC currently account for about 80% of the total daily transaction volume of the Bitcoin network, which is significantly higher than about 44% in 2023. Moreno notes that this growth is mainly driven by OP_RETURN-based on-chain data protocols such as Runes, Ordinals, BRC-20, and data timestamping services. These agreements generate a large number of small transactions, some as low as 546 satoshi (around $0.35), driving the continued increase in the number of low-value transfers. Furthermore, the Bitcoin network activity index has continued to rise since January of this year and has now reached its highest level since the end of 2024. (The Block)

64d ago

Chainalysis: Tax Evaders Begin Using Bitcoin Ordinals and BRC-20 Tokens to Hide Wealth

According to the blockchain analysis platform Chainalysis, a blockchain analysis platform, Italy's Foggia Economic and Financial Police recently uncovered a tax evasion case. The people involved are suspected of using the Bitcoin Ordinals Agreement and the BRC-20 token standard to create and resell tokens to conceal capital gains of about 1.1 million US dollars (1 million euros) in the chain, and the profits continue to be invested in new inscriptions. Chainalysis points out that although such emerging technology methods seem hidden, the inherent transparency of blockchain leaves permanent and immutable transaction records. Blockchain intelligence can effectively track tax evasion by reconstructing financial networks and cross-comparing exchange declaration data. The agency warned that as new digital asset classes continue to emerge, the gap between real wealth on the chain and declared tax status will become a key investigation target for global law enforcement agencies.

93d ago

BRC-20 sector tokens pulled back slightly, and SATS fell 5.3% in 1 hour

Comparative news, according to Coingecko data, several tokens in the BRC-20 sector are still picking up slightly. Currently, the overall market value of the sector has fallen to about US$192 million, a 1-hour decline of 2.7%, of which: MUBI temporarily reported $0.00119, down 6.2% in 1 hour; ORDI temporarily reported $7.11, down 3.0% in 1 hour; SATS temporarily reported $0.00000001901, down 5.3% in 1 hour; TURT temporarily reported $0.0002513, down 15.4% in 1 hour; 1000SATS temporarily reported $0.00001,899, a 1-hour decline of 3.8%. This article is sponsored by GENG, Build Your Fortune on GENG (https://geng.one)

127d agoburnking

UniSAT: Will firmly support the development of the Bitcoin mainnet ecosystem and continue to invest in the infrastructure of Ordinals, Runes, and BRC-20

Comparing news, UniSAT officially posted on social media that the team is concerned about recent changes in the Bitcoin ecosystem (Magic Eden will shut down its Bitcoin and EVM markets). However, for UniSAT, it will still firmly support the development of the Bitcoin mainnet ecosystem and will continue to invest in the infrastructure of Ordinals, Runes, and BRC-20. In the future, the following phased adjustments and upgrades will be implemented: UniSat Marketplace: The threshold for market participation will be lowered in stages. Starting March 1, 2026, UniSat Marketplace will implement a 90-day zero-service fee policy across all platforms. UniHexa: Expanding the current invitation round. The scope of early access invitations to UniHexa will be expanded next week. UniHexa is a unified on-chain exchange service for BRC-20 and Runes. brc-20: Technical discussions on single-step transfers are about to begin. The team will soon share a detailed technical discussion on implementing brc-20 single-step transfers on the Bitcoin mainnet. For developers: UniSat API upgrade. It is expected that the UniSat API will soon be upgraded to a fully functional MCP that can provide commercial-grade Bitcoin on-chain data. Long-term participation in Fractal's standard indexing service. UniSAT will purchase FB from the market in stages to participate in Fractal's standard indexing service, which is scheduled to launch in Q2. The initial phase will purchase no less than 500,000 FB, and the first phase of deployment will be launched and completed within 15 days. These FBs will be used for long-term participation in index staking.

176d ago

Data: NFT transactions rose 11.31% to $68.98 million this week, and the number of buyers surged 50.28%

Comparing news, as reported by Crypto.News, CryptoSlam data showed that the NFT market turnover rose 11.31% to $68.98 million in the past week. The number of NFT buyers rose 50.28% to 231,167; the number of sellers rose 45.03% to 164,986; and the number of NFT transactions rose 5.22%. The transaction volume of the Ethereum network reached US$28.15 million, up 36.23% from the previous week; the transaction volume of the BNB Chain network reached US$8.67 million, down 19.16%; and the transaction volume of the Polygon network reached US$4.73 million, up 50.38%. This week's high-value deals include: Wrapped Ether Rock #38 sold for $265,594.19 (90 ETH), Beeple Spring Collection #100100001 sold for $186,493.03 (60 ETH), $X @AI BRC-20 NFT sold for $160,299.03 (1.7951 BTC), and Autoglyphs # 192 sold for $156,342.55 (55 WETH) and CryptoPunks #5133 sold for $131,200.81 (44.99 ETH).

244d ago
x402 ignition, $PING 8 times! Earn first, then understand

x402 ignition, $PING 8 times! Earn first, then understand

If you've recently viewed “x402,” you're probably confused — it's not a chain, it's not a hot token project, and even the official website is pretty simple. However, its narrative triggered a surge in on-chain activity and led to a sharp rise in several ecosystems such as $PING. $PING also achieved an 8-fold increase within 24 hours, and the popularity of x402 spread to the meme and AI developer community. x402 is starting a new on-chain payment narrative, and the drivers behind it are the companies that are currently best defining infrastructure standards: Coinbase, Cloudflare, The Graph. In this article, we'll start from the background of x402 and explain why it can “get out of the ring,” what problems it wants to solve in the Web3 field, and who might benefit from it first. The payment layer's “HTTP standard” x402 is a payment protocol built on HTTP status codes. The HTTP 402 (Payment Required) status code was actually kept in the standard as early as 1997, but it has remained idle because it has never been implemented. The x402 protocol proposed by the Coinbase Developer Platform is to truly “activate” this field left over from history. Simply put, it wants to establish a “HTTP native on-chain payment process.” Any web page, API, bot, or AI agent can tell the client “you need to pay first” when returning a 402 status code and provide standardized on-chain payment information. After the client completes the payment, the payment certificate is brought into the next request, and the server then verifies and returns the service content. This model seems very abstract, but it addresses exactly one of the most fundamental problems in the current crypto world: automated, tiny, on-chain payment mechanisms that don't require human intervention. In terms of business model, it opens up economic activity between machines: a bot wants to call the API of another service, doesn't need to register an account, doesn't need to connect to OAuth, make direct on-chain payments, and instantly access services. This is a truly open network with “machines as participants.” Another key reason why the “Big Factory” Consensus x402 can attract the attention of so many practitioners is that its “background” is very hardcore. The founder, Coinbase Developer Platform, is currently one of the teams with the strongest ability to build developer infrastructure in the Web3 world. From Wallet SDK to API Gateway, from smart contract tools to data indexing platforms, they're already building an AWS-like cryptographic development service stack. And x402 is an extremely critical layer in this stack: the payment layer. The addition of Cloudflare is a “circle-breaking booster” for whether this agreement can be rolled out on a large scale. You may not be familiar with it, but the truth is that you use Cloudflare's web services every day. More than 20% of the world's web pages, APIs, CDNs, and edge computing services run on its network. If Coinbase can define an on-chain standard, then Cloudflare can really push this standard into the Web2 world. The Graph's Edge & Node team represents the immediate need for on-chain data infrastructure for “access control” and “usage billing.” They were one of the first teams to combine an API with a tokenized payment model, and they are also the easiest real users to implement the x402 model as soon as possible. The three companies each represent transactions, traffic entry, and data services. The three jointly promote a certain agreement, which in itself is enough to form a “quasi-standard” atmosphere. Technology is very “heavy”, so why is it able to “get out of the ring”? If it were just a payment standard, even the most advanced design, most people wouldn't care. Why can x402 explode the secondary market and drive the coin price to take off? The reason is probably unexpected: it really “works” and is worth landing. Also, some people are making money. On the one hand, x402 is not limited to a certain chain, nor does it depend on a specific token. It's a completely open, chain-agnostic, token-agnostic protocol. If you want to use which chain or token to pay, as long as the server approves it and the client can sign, it will work. This attitude of “everyone can pick it up, everyone can use it” has been greatly reduced...

302d agoWendy#Coinbase #MEME #PING #x402 #X402 topic #inscriptions

Three traders have now surged more than $17 million by trading BSC ecological meme coins

In comparison, according to Lookonchain monitoring, the three traders are currently making more than $17 million by trading BSC ecosystem meme coins, of which: · Calm down and calm down (@hexiecs): earned $5.5 million on Binance Life; $36.17 million on 4; and $21,95 million on GIGGLE. · Wang Xiaoer (@brc20niubi): Earn $5.4 million on Binance Life; earn $736,000 on 4; earn $22.83 million on GIGGLE. · Shenzhen University Gao Weisheng.eth (@GCsheng): Earn $4.8 million on Binance Life; earn $26,800 on Customer Service Xiao He.

318d ago#Binance Life Topics
From explosion to concern: Interpreting Hyperliquid's successes and challenges

From explosion to concern: Interpreting Hyperliquid's successes and challenges

Author | Shijijun Original title: Opinion: Talking about Hyperliquid's path to success and future concerns The author's personal opinion does not represent what Wu said. The content of this article does not constitute any investment and financial advice. Readers are requested to strictly abide by local laws and regulations. 1. Research Background Recently, I have basically studied all the Perps (perpetual trading platforms) on the market. The 5-fold growth of the Hype market once again proved that when I first studied it last year, my judgment still ignored its core values. Also, recently Aster, Antex, dYDxV4, and even Grandpa Sun left the game, and SunPerps, which shook the track, have all gradually ushered in an explosive period on the Perps track. In addition, various mainstream exchanges are scrambling to launch Hype and the above sustainable trading capabilities. Yesterday, it was once again reported that Metamask has become another large-scale wallet platform after Phantom. It plans to connect to Hyper's sustainability, and circle will also become its validator, breaking down its core decentralization concerns. Hyperliquid itself is also struggling to continuously improve its openness, especially the gradual introduction of HyperEVM and Hip2/3/4. 1. At this point, the 3 elements of the new track, Perps can basically be described as having all 3 key elements of the new track. In fact, if we look back at any huge circuit wave in history, we can see that it is often a new leading platform, a new wealth opportunity, and a new narrative background. Trend aggregation brings peaks, while subsequent platforms' airdrop strategies and gradually developing platform complexity reduce the level of freshness perceived by users, and eventually gradually bring waves and valleys. This process has actually gone through many waves. The typical scenario is as follows: · For the 17-year ICO craze, the corresponding platform is CEX. The basics are just needed; there is no controversy. Many are living very well now. · In the summer of DeFi '21, the corresponding platforms were Uniswap and lending and stablecoins, ibid. · The 22-year-old NFT actually existed for a long time, but it also came from Opensea when it reached its peak. The root cause was pricing through transactions, and dissemination was achieved based on price. Among them, the decline also stemmed from its arrogance. In terms of airdrop strategies and royalties, it brought about a death spiral of higher prices, and it was his own work. · The 23-year inscription corresponds to the platform Unisat. The root cause of its decline is shortsightedness. At the peak of popularity, they only issued assets and did not apply them, and the narrative life cycle was too short. When other new stories came, rwa and perps occupied the attention, making recent Alkanes and BRC2.0 not able to take back the popularity; they are all on their own. · The 24-year meme and corresponding pump platform and this year's dark horse axiom have made this wave unusually long-lasting. These stem from the advantages of the chain itself in terms of transactions, and the constant influx of people targeting the trading community, which, together with new users brought about by the big wave of compliance, has supported the life cycle · Finally, there were both RWA (focus on stocks) and Perps (led by Hyperliquid) for 25 years. 2. Interpreting Hyperliquid's Key Development Step 2.1 Development Status Objectively speaking, until now, the system is still in a relatively centralized state. Theoretically, it has the ability to unplug the network cable and change the state. Furthermore, hacker funds are also on top. This is a big sticking point for many exchanges in terms of compliance and popularity access. However, his data is just too contradictory. Hyperliquid currently has around 10,000 to 20,000 daily active users, and the total number of users is around 600,000. Of these, 20,000 to 30,000 core users contributed nearly $1 billion in revenue, a significant portion of which came from the US. Over $3 trillion has been accumulated in trading volume, and the average daily trading volume is already close to $7 billion. Currently, Perps trading is supported for over 100 assets. Looking at his data this way, I can only say that it's really good, and they don't seem to have a large number of users, but they are all the people who can generate the most money. 2.2 Major updates and interpretations The specific timeline is as follows: · March 25: Open HyperCore and HyperEVM connections. The theory allows users to trade c from EVM...

331d agoLuxurytracy#HYPERLIQUID

BNB surpasses Comcast and Rolls Royce to rank 177th in the global asset market capitalization ranking

比推消息, 8MarketCap数据显示,BNB超越康卡斯特、劳斯莱斯跻身全球资产市值排名177位,目前BNB市值约为1254.7亿美元,24H涨幅2.54%。<img 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9ln57rnFa8E+O/zh+L7/3OCI7voyo+Hnd46cCVxnLdg4KHNEB92evOQnWGde4BQr87//IfyjQKqREhXB8c3w/ofSGDpX/GcnyKX5zel1zfxyuJbhx1a3ffvo9iLBzTLbh5y4G/dqKIT+x7aOuz0K5TT2H5gd8bynW9TOfhBAkgACSABowQqyuuMyDzv4E77Emf+9/RG/ePKcln5Y2Lfkzekg47KgbzOHchT7WVsvOdfsLWT1ZX8LPntvAGHqocNXN+fllbWXzPU13kAtx2pe/i79HapnHTi9tG1AYR0gvHm6xQxnnC7IL+UCIcO0X6OVl1SIr5F3KfFpO5OXjRCj5RgQqAX28Hher4As0zXbyg6Qmo9yti

346d ago