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Top 10 Revenue-Generating Hyperliquid Builders in the Past 30 Days: MetaMask Tops the List, With Phantom and Trust Wallet Securing Second and Third Spots Respectively.

1 hours ago

Per HyperTracker data, in Hyperliquid Builder’s 30-day revenue ranking, MetaMask leads with ~$1.3248 million, followed by Phantom at ~$1.2568 million, and Trust Wallet third with ~$900,200. The full breakdown: MetaMask: $1.3248M, 30-day trading volume $1.43B; Phantom: $1.2568M, $2.29B; Trust Wallet: $900.2k, $1.5B; Invo: $658.4k, $1.87B; fomo: $430.1k, $971M; 0xc7...b71a: $291.6k, $294M; 0x7c...e781: $242.3k, $636M; Trasia: $229k, $457M; Rabby: $227.7k, $1.13B; Blockchain: $181.2k, $160M. The Hyperliquid Builder Code mechanism allows wallets, trading frontends, tools, or bots to add origin tags to transaction orders via the on-chain Builder field, earning a share of fees from the transaction flows they route. Data shows top wallets and frontends are emerging as key revenue capture entry points for the Hyperliquid ecosystem, with MetaMask and Phantom both generating over $1.2 million in Builder revenue over the past 30 days.

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Jiang Zhuoer: Probability of Bitcoin falling back below $67,000 is very low, ETH remains the "engine" of this bull market.

Jiang Zhuoer, founder of BTC.TOP (莱比特矿池), noted in a post that on the first U.S. stock trading day after the weekend’s sharp rally, ETF fund flows are a key indicator to monitor. Data shows Bitcoin ETFs saw a net inflow of $314 million, while Ethereum ETFs recorded a net inflow of $180 million. U.S. stock funds are piling into longs, meaning this rally has been further confirmed by capital, making it highly unlikely for Bitcoin to fall back below its $67,000 starting point. Additionally, Ethereum ETF inflows equal 57.2% of Bitcoin’s inflows, a figure significantly higher than ETH’s 18.8% share of the total BTC market cap. Based on this, he believes ETH will continue to act as the "engine" of this bull market. With Trump’s strong embrace of blockchain and the advancement of the CLARITY Act, financial assets including the U.S. dollar, U.S. stocks, and U.S. Treasuries may become further on-chain, tokenized, and smart-contract integrated in the future. He holds that this will drive more traditional finance professionals to understand and invest in related blockchain ecosystems.

3 minutes ago

HyperCore’s manual borrowing feature is now live on the testnet, while mainnet borrowing remains limited to portfolio margin.

Hyperliquid co-founder Jeff Yan announced that HyperCore’s manual borrowing feature has launched on the testnet. All borrowing functions on the mainnet remain restricted to the portfolio margin model for now. HyperEVM smart contracts can now access HyperCore’s lending functions via CoreWriter and read-only precompiled contracts.

3 minutes ago

Zhipu AI takes ownership of Ox Alpha: New GLM version natively supports images and videos, to be open-sourced tonight.

Beating AI News Insight: Zhipu AI has confirmed that Ox Alpha is a new version of its GLM series, with the model’s weights set to be released publicly tonight. Earlier, the community had already identified Ox Alpha as Zhipu’s work via clues such as API error logs and tokenizer details, and this has now been officially verified. Ox Alpha anonymously launched on OpenRouter over the weekend, focusing on programming and long-duration agent tasks, while supporting inputs of text, images, and videos. Shortly after its launch, it rose to become the most-used model on OpenRouter, with usage volume twice that of DeepSeek. OpenRouter described this as the largest model release in the platform’s history. Multimodality is a notable shift here: Zhipu previously separated its core GLM models from GLM-V visual models – for instance, GLM-5 only supported text, while images and videos were handled by models like GLM-5V-Turbo. This time, Ox Alpha is confirmed as a new GLM version that can process both images and videos. If the final official model name drops the "V" suffix, it would mark Zhipu’s move to merge its two model lines. Ox Alpha will stay free for one week; post-period pricing has not been announced.

3 minutes ago

MINIMAX reports H1 revenue of $117 million, up 283.1% year-over-year.

MINIMAX announced in a Hong Kong Stock Exchange (HKEX) filing that its revenue for the first half of 2026 reached $117 million, representing a 283.1% year-on-year surge. The company recorded a net loss of $358 million over the period, down 11% year-on-year, while its gross profit jumped 464.8% year-on-year to $20.813 million.

3 minutes ago

An address has accumulated a total of 6,000 ETH since August 17, with an unrealized profit of approximately $130,000.

According to on-chain analyst Ai Yi (Twitter handle @ai_9684xtpa)’s monitoring, address 0xa69…49eAd has been steadily accumulating ETH since August 17, amassing a total of 6,000 ETH at a price range of roughly $1,894 to $2,505. The address’s current unrealized profit stands at approximately $130,000; it now holds ETH worth around $14.56 million, with an average entry price of $2,427.29. Its most recent accumulation occurred roughly 3 hours ago.

3 minutes ago

A crypto whale has placed a long-term TWAP buy order that has been outstanding for 5 days, and plans to go long AAPL with 20x leverage.

According to TradingBeats monitoring, an address starting with 0x7dac launched a non-deleveraging TWAP order for AAPL at 16:08 today, planning to buy 16,000 AAPL shares over 7,230 minutes (roughly 5 days). Calculated at a snapshot price of $309.51, the total planned value is approximately $4.952 million, with execution expected to run until 16:38 on August 31. As of 17:00, only 117.27 shares of this TWAP have been filled, with a trading volume of ~$36,300, an average price of ~$309.59, and a completion rate of about 0.73%. There are still around 15,880 shares pending execution, valued at ~$4.916 million, accounting for ~99.27% of the total plan. TradingBeats, an on-chain perpetual contract (perp) and address analysis tool, is now live, supporting real-time access to Hyperliquid data—from address tracing to whale operations, delivering in-depth analysis at a glance.

3 minutes ago

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