Cookie DAO price

Bitcoin is not just digital gold; it can also become a tool for stable returns. The challenges of holding BTC long-term are evident: the market is highly volatile, and a price surge may tempt one to cash out, while a drop can easily lead to panic selling. The traditional "hold on" strategy carries significant risks. @build_on_bob At this point, the Babylon protocol from @build_on_bob emerges, providing BTC holders with a new avenue. It connects native Bitcoin with DeFi yield channels, enabling the possibility of earning returns by directly staking BTC without custody. To date, $6.3 billion in BTC has entered the DeFi ecosystem through this protocol. Flexible operation methods: Beginners: One-click staking through #BOB Earn to receive LST (liquid staking tokens) and points rewards; Professional investors: Utilize BOB Bridge or manually deploy strategies to freely control yield paths. Diverse yield enhancement options: Liquidity provision: Provide LST in Uniswap to earn trading fees; Leverage borrowing: Collateralize LST in Euler to enhance leveraged returns; Cross-chain staking: Stacking rewards across multiple chains to maximize returns. The market potential is enormous: currently, the market cap of Bitcoin DeFi accounts for only 0.3% of the total BTC supply, while Ethereum DeFi has reached 30%. If the Bitcoin ecosystem catches up to Ethereum, the potential market space exceeds $750 billion. This means that entering Bitcoin DeFi now is not just an opportunity for returns but also a strategic advantage. The PoW mechanism has previously limited BTC staking, but the Babylon protocol breaks this barrier, allowing BTC not only to retain value but also to generate income. #BOB #Cookie @cookiedotfun @cookiedotfuncn

The weather has been nice lately, with plenty of sunshine, which is perfect for discussing a project that excites me—ZAMA @zama_fhe. You may have heard of it; it just raised over $130 million, which is no small amount in the industry, directly highlighting the market's high expectations for it. What ZAMA is doing is pretty cool; it uses Fully Homomorphic Encryption (FHE) technology to solve privacy issues on public blockchains. It's like adding a lock to a transparent ledger—data is encrypted throughout, but smart contracts can still run normally, processing transactions without needing to decrypt. Think about it: why are traditional financial institutions hesitant to tokenize on public chains? It's because of the transparency—transaction volumes, investment strategies, and client identities are all exposed, posing too much risk. With the introduction of ZAMA's FHEVM, everything changed: all sensitive data, such as amounts, identities, and investment portfolios, can be processed in an encrypted manner, allowing regulatory bodies like the SEC to audit when necessary. Now, banks and funds can operate confidently on public chains like Ethereum; the system is transparent, but strategies and clients remain secure. This is essentially a bridge between traditional finance and public chains, capable of unlocking trillions of dollars in real-world assets, with enormous potential. The application scenarios for ZAMA @zama_fhe are also impressively broad. For instance, in private DeFi, users can exchange and lend anonymously without revealing personal financial details; in DAO voting, ballots are encrypted, results are transparent, and no one knows who voted for whom; there are also on-chain privacy identities, where users can prove they meet certain criteria, like age, without disclosing specific information, which is much stronger than traditional KYC. The private data market is another highlight, where users can share encrypted health or consumption data, allowing AI to analyze its value, and users can earn money without having to make the raw data public. The same goes for gaming and social fields, where resources and messages can be hidden until the right moment. The tools they have released are also very practical; TFHE-rs is a high-performance encryption library suitable for blockchain environments, and there’s an open-source FHE SDK that can be easily integrated into smart contracts. ZAMA has also partnered with Aleo and RISC Zero to combine FHE with zkVM, paving the way for FHE-native smart contracts. Although the processing speed of FHE is still a bit slow, ZAMA is already working hard on optimizations, and performance improvements are just around the corner. Additionally, ZAMA @zama_fhe's Creator Program has also been upgraded; the new system rewards high-quality content and genuine interactions using a multiplier effect, rather than just focusing on quantity. This encourages community builders to focus on deep engagement, with scores able to double, which aligns well with the spirit of Web3—rewarding effort, not noise. Users can participate through platforms like CookieDotFun and interact with partners like Rayls Labs and LayerBankFi. Overall, #ZAMA has pioneered privacy protection in Web3, combining transparency and privacy to address core pain points. With successful funding, solid technology, and diverse applications, I believe it can drive a wave of innovation in the future, holding high investment value. As more institutions enter the space, ZAMA may become a key player in driving the large-scale adoption of blockchain.

Today's homework is to talk about @Almanak__. This project aims to solve a persistent issue in the industry: too many projects rely on Vibes and CX for their economic models, rather than rigorous mathematics. What we market participants fear the most is that once a project goes live, it leads to infinite inflation or liquidity exhaustion, ultimately burying us. Almanak's entry point is right here. It provides project teams with a "digital twin" simulation environment for token economic models. Before the TGE, projects can run their models using real on-chain data and market behavior logic to stress test whether the model will collapse. Almanak can simulate: With such a large token release, how much selling pressure will the market face? Will the incentive loop collapse under extreme market conditions? How much trading impact can the liquidity pool withstand? Through simulation, project teams can identify design flaws in advance, rather than letting users risk real money to find out after going live. So what benefits does this bring to us investors? It's simple: it provides a data-driven basis for decision-making. If a project has undergone this kind of simulation, it at least indicates that it is not a makeshift operation. We can see its potential risks under different market conditions. It also introduces AI agents, allowing the entire system to continuously evolve. I noticed they postponed the TGE recently, and I actually see this as a good sign. It confirms that before everything runs smoothly in the simulation environment, they will not easily push it to the real market. Web3 needs to shift from being vibe-driven to data-driven, and the emergence of tools like Almanak is a positive signal. #Cookie @cookiedotfun #Almanak