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Robinhood reported one of its strongest quarters yet, with Q1 revenue rising 50% year-over-year to $927 million and net income more than doubling to $336 million. Robinhood reported first quarter results after Wednesday’s closing bell. Earnings per share of 37 cents was up 106% from last year while revenue of $927 million was up 50% year-over-year. The company saw record net deposits of $18 billion and reached new highs in Robinhood Gold subscribers, which climbed 90% to 3.2 million. The trading platform also continued to roll out new products, including AI-powered financial planning tools and an expanded prediction markets hub. Robinhood closed its acquisition of TradePMR and is on track to complete its purchase of Bitstamp later this year. The board expanded its share buyback program by $500 million to $1.5 billion, citing confidence in long-term growth. Mizuho analyst Dan Dolev praised Robinhood’s performance during a CNBC interview following the report. He described the report as “one of their best quarters on record,” noting the company’s all-time highs in funded accounts and revenue. The stock traded lower by 4% following the report, suggesting the dip represents “a buying opportunity.” Robinhood’s stock recovered from its morning lows of $46.53 and traded at $48.64 at press time, down less than 1%. “They’re getting into Asia, they’re getting into Europe,” the analyst said. “Their product velocity is the best one I’ve ever seen with Robinhood Gold. Pretty much every quarter there is something new and so I think over time what you are going to see is that they are not going to bifurcate from the volatility, but they’re going to fare better than the volatility.” Robinhood deserves credit for its aggressive push into what Dolev describes as a $600 billion total addressable market. The company is seeing strong results, notably from higher net-worth clients that typically flock to legacy platforms like Schwab and Interactive Brokers. “Three years ago everyone thought [Robinhood] was a joke for millennials,” Dolev said. “And now people are taking them really seriously. And I think their competitors are getting worried about them taking assets away.”

Why do crypto projects flock to issue cards? A battle for access rights between Web3 and the real world This article will analyze the driving factors, competitive landscape and potential risks behind this wave of crypto payment craze to gain a clear understanding of this industry leap.

Tonight’s mission: Taking my YoungLife kids to “flock” yards with plastic flamingos to help them raise money to go to camp. Kids are convinced we’re doing something crazy so we do the whole thing like we’re on some kind of secret mission. It’s a lot of fun and a cool way to get them to be active and involve the community in the process.

FLock.io is about to launch the gmFLOCK staking mechanism to optimize the token economic model The decentralized AI training platform FLock.io announced that it will soon launch the gmFLOCK (game-FLOCK) staking mechanism as a core component of its FLock ecosystem. gmFLOCK adopts a non-transferable design and is only used for internal staking on the platform. It aims to optimize the market supply structure of FLOCK through liquidity lock-up, suppress short-term "mining and selling" behavior, improve the value stability of tokens, and provide users with a more flexible way to participate. Users can obtain gmFLOCK by staking FLOCK. The longer the staking period, the higher the exchange ratio (0-30 days is 1:1, and for every additional day, an additional 0.006 gmFLOCK is obtained, and the maximum staking period is 365 days). After the staking period expires, users can redeem gmFLOCK back to the original FLOCK in proportion. The obtained gmFLOCK can be used to play the following roles: Model Trainer Node: Contribute computing power to train the model; Model Validator: Verify the performance and security of the model; Delegator: Support network operation and ensure security.

FLock.io and Alibaba Cloud have reached a strategic cooperation to establish a decentralized and centralized AI collaborative ecosystem The decentralized AI training platform FLock.io officially announced a strategic partnership with Qwen, Alibaba Cloud's leading open source large language model series. By cooperating with traditional AI giants, FLock has truly broken through the circle, marking the deep connection between decentralized AI and blockchain technology in the mainstream AI ecosystem. This cooperation focuses on three major technological breakthroughs: Technology integration: Combining Alibaba Cloud's centralized infrastructure with FLock.io's decentralized technology to jointly develop domain-specific and general AI models. Data privacy protection: Explore the combination of distributed ledger technology and federated learning to solve data privacy and sovereignty issues in model training and provide innovative solutions for the secure application of private data. Collaborative innovation: Create a more inclusive, scalable and privacy-protecting AI ecosystem.