GMGN market data showed that Friend, a token tied to the Friend.tech ecosystem, briefly climbed past a $6 million market capitalization, with its intraday gain exceeding 17x. Earlier, Taiwanese-American entrepreneur Jeffrey Huang, widely known in the crypto market as MachiBigBrother, said that when Friend.tech’s market value was still below $300,000, he had already made a $1 million acquisition offer to founder Racer and venture firm Paradigm. Huang also said he intended to relaunch Friend.tech through a community takeover in the form of a CTO initiative. With Friend’s sharp price increase, the unrealized profit on Huang’s related holdings is now about $730,000, according to the figures cited in the report. The move puts renewed attention on Friend.tech and the trading activity surrounding its ecosystem token.

Jeff Huang, also known as Machi Big Brother, said he has made a $1 million acquisition offer for Friend.tech as the project’s market capitalization fell below $300,000. According to Huang, the offer was submitted to Friend.tech founder Racer and venture firm Paradigm. He said that if the deal is completed, the project could be restarted through a community takeover in CTO form. Following his public remarks, Friend.tech’s market capitalization rebounded to more than $2.2 million. The statement outlines both the proposed purchase price and a possible path for reviving the social platform, while also triggering a sharp move in its market value.

Machi Big Brother, also known as Huang Licheng, said Friend.tech’s market capitalization has fallen below $300,000 and that he has submitted a $1 million acquisition offer to Friend.tech founder Racer and Paradigm. He said that if the deal goes through, Friend.tech could be restarted through a community takeover CTO approach. Following his statement, Friend.tech’s market capitalization rebounded and moved back above $2.2 million. The update was reported by ChainCatcher as a 7x24 newsflash.

PANews has published a long first-person essay by Digital Life Kha'Zix on what happened after his company spent the past two and a half years pushing AI across nearly every function. The firm, he wrote, now has close to 100% AI penetration, with agents used in finance, HR, legal, business development, talent management, and operations. Yet instead of shrinking, the company is hiring more people and preparing to move into a larger office because the current space is no longer enough. The core argument is that broad AI adoption did not turn the company into a lean, automated machine run by a small number of people. In his account, it had the opposite effect: the more routine, describable, and repeatable work agents absorbed, the more the organization was pushed back toward old-fashioned human tasks such as trust-building, judgment, responsibility, training newcomers, and direct communication with clients and creators. He argues for a "thin middle platform, thick front line" structure, saying companies with fewer than 100 native employees should be cautious about building a heavy AI platform team. He also says data accumulation and data governance matter more than agents themselves. The essay closes on a broader point: AI may change tools, workflows, and efficiency, but the real test for any organization still comes down to how it treats people.

CZ said at the SALT conference in Jackson Hole, Wyoming, that his earlier “supercycle” call for Bitcoin has not played out. He said market data still points to a strict four-year cycle and that crypto is now in a bear phase. He also argued that as total market value grows, price swings should narrow, more like shares of large public companies such as Amazon and Facebook. On regulation, CZ described the current U.S. environment as the friendliest he has seen in 12 years in the industry and said America’s framework has global influence, with other countries and exchanges looking to U.S. securities and trading rules. He added that Hong Kong is moving quickly to align its legislative approach with the U.S. CZ also detailed YZi Labs’ portfolio split, saying about 70% of capital goes to crypto and blockchain, around 20% to AI, and the rest to biotech and other areas. He said the firm uses its own capital, is not bound by outside LP return cycles, and focuses on positive impact and execution rather than pure financial models. On Hyperliquid, he rejected the idea that being a Binance shareholder means backing only centralized exchanges, saying he entered the industry because he believes in decentralization. He argued that if KYC-free platforms like Hyperliquid can enter the U.S. in a compliant way, it could open the door for more Perp DEX and other decentralized services to reach users in the U.S. and globally.

A long-form piece published by TechFlowPost argues that crypto venture capital is not disappearing after the speculative boom. It is being repriced. The article says the market now shows a split between strong top-line industry data and weak early-stage liquidity: institutions hold more than $175 billion in crypto assets through exchange-traded products, onchain projects generated $11 billion in fees over the last 12 months, and the sector logged $8.6 billion in M&A plus 11 IPOs. Yet Galaxy Research data cited in the piece shows only eight new VC funds launched last quarter, the lowest level since 2020, while quarterly investment fell to $4 billion, or roughly $16 billion annualized, about half of 2021’s $31 billion pace. The authors trace the problem to a crypto funding model built around early token listings and quick liquidity rather than durable business value. They argue that many token models failed because projects lacked real business models and token holders had no legal claim on operating income. In their view, the industry is now moving toward structures that tie revenue to tokens, including buybacks, while also reopening other exit routes such as acquisitions and IPOs. The article identifies three sectors that have already reached sustainable product-market fit: stablecoins, prediction markets and onchain perpetuals. It also points to tokenized Treasuries, tokenized equities, machine payments, onchain credit and compliance infrastructure as areas where early-stage opportunities may now be forming. The broader conclusion is that crypto investing is shifting away from broad thematic betting and toward specialized, patient capital focused on business quality, regulation and long holding cycles.

A meme token sharing the name of the animated film Niu Lai surged on BNB Smart Chain after the movie unexpectedly became a talking point. The token’s market cap briefly reached $46 million, and it rose 139% in 24 hours on Aug. 17, the same day takedown rumors around the film spread widely, according to the source article. Yet on-chain data cited in the report points to a twist: the developer address that launched multiple related tokens did not record a single buy or sell in the main Niu Lai token that became the market leader. The report says the same address launched two versions of Niu Lai within six minutes on Aug. 13, then issued Xiong Zou and Bandao Ti over the following days. Its only meaningful profit came from Bandao Ti, the fourth token, where it bought 37.7% of total supply for $2,180 in the launch transaction and sold across 12 transactions roughly 90 seconds later, taking more than $10,000 in profit. The article also notes an Aug. 18 update saying the creator later launched Niu Lailai and Moo, each generating more than $7,000. Separate addresses appear to have handled the main USDT liquidity pool for Niu Lai. One address created the pool on Aug. 15, while another, described by the source as a frequent liquidity operator with 4,861 on-chain trades, kept adding liquidity and collecting fees and had not exited at the time of writing. The article also says sniping bots grabbed 33.9% of supply at launch and later dispersed the holdings across dozens of addresses.

fomo co-founder Se Yong said in an Aug. 12 interview that the social meme trading platform has reached about 1.3 million users and is adding roughly 30,000 new users a day. He said the company is not trying to become a traditional pro-grade meme trading terminal. Instead, it wants to simplify cross-chain trading, make trust visible through public rankings, and turn trading into a social product that can reach users beyond crypto-native circles. In the interview, Se Yong also described how he first entered crypto through trading on Avalanche in 2021, how painful cross-chain flows on Base helped shape the product idea behind fomo, and why he sees mobile trading and social trading as the two core directions for the platform. He said the team wants users to think less about whether funds sit on SOL, ETH, or BNB and more about having a single usable balance. Se Yong added that fomo recently launched Clans, a new social feature that lets users join groups, view holdings, and compete on public leaderboards. Over time, he said, the feature could expand into internal chat, recruiting, subscriptions, shared treasuries, and even public clan addresses for airdrops. On competition, he said rival products are healthy and that fomo’s goal is to grow the overall market rather than protect a narrow slice of existing crypto users.