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14 ๐ฑ๐ฎ๐๐ ๐ผ๐ณ ๐๐๐ฏ๐ฏ๐น๐ฒ๐บ๐ฎ๐ฝ $BMT ๐ง๐ต๐ฒ ๐๐ฟ๐๐ฝ๐๐ผ ๐๐ฒ๐๐ฒ๐ฐ๐๐ถ๐๐ฒย -ย โGood morning. Let's start Day 5 For the past couple of days, we've been on high alert, scanning the horizon for red flags and danger zones. Today, we change our lens. We're looking for signs of life, health, and genuine decentralization. โNot every cluster is a conspiracy. Sometimes, a Bubblemap can give you a strong dose of confidence in a project. โ โHallmarks of a Healthy Token Distribution ๐ธThe Archipelago Effect: A healthy map rarely looks like one giant continent. Instead, it looks like an archipelago, a chain of many separate islands. You'll see numerous small to medium-sized clusters and individual bubbles that are not connected to each other. This is the visual proof of a wide, diverse, and unrelated community of holders. ๐ธโIndependent Whales: Projects will always have whales (large holders). The key is whether they are acting alone or as a pack. A healthy sign is seeing several large bubbles that are isolated from one another. They have no connecting lines, no shared clusters. These are likely separate funds or early believers, which is far healthier than a tight-knit "insider huddle." ๐ธโOrganic Exchange Flow: Yesterday, we flagged a one-way "funnel" to an exchange as a major warning sign for a dump. A healthy map shows two-way traffic. You'll see tokens flowing from many different, unrelated wallets to the exchange, and from the exchange out to many different wallets. This signifies a real, breathing market where people are actively buying, selling, and holding for different reasons. โUnderstanding the difference between a sick patient and a healthy one is the core skill of on-chain analysis. But this tool isn't just for diagnosis; it's for active investigation. โTomorrow, we'll put on our detective hats and explore one of the most popular use cases for Bubblemaps: uncovering sophisticated airdrop farmers. @Bubblemaps.io #Bubblemaps
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๐๐ฎ๐ 6 ๐๐ป๐๐ผ ๐ง๐ต๐ฒ ๐๐ถ๐ ๐ฒ๐ฑ ๐๐ป๐ฐ๐ผ๐บ๐ฒ ๐๐ฎ๐๐ฒ๐ฟ ๐ผ๐ณ ๐ง๐ฟ๐ฒ๐ฒ๐ต๐ผ๐๐๐ฒ $TREE -ย โGood morning. Yesterday we covered tETH, the token you get as a user of Treehouse. It's the "product." Today, let's talk about the other side of the coin: the tree token. โIf holding tETH is like being a client of the Treehouse investment fund, holding tree is like being a partner in the firm. It grants you a voice in its decisions and a direct share in its profits. โThe tree token serves two primary functions: governance and value accrual. โ โGovernance โThis is the most fundamental utility. Holders can propose and vote on crucial protocol parameters. ๐ธโWhat can you vote on? Things that actually matter. Adjusting the protocol fees, whitelisting new validators to stake with, or deciding how to allocate funds from the community treasury. It gives the community direct ownership over the protocol's evolution. โ โValue Accrual โThis is the direct financial incentive for holding tree. It's designed to capture the success of the protocol and pass it on to its most committed supporters. This happens in two ways we touched on earlier: 1. โAs we discussed in Day 2, a portion of the total ETH yield generated by the protocol is used to buy tree on the open market. These purchased tokens are then distributed as rewards to those who stake their tree. It's essentially a dividend paid out from protocol revenue. 2. A second portion of that protocol revenue is also used to buy back and burn tree tokens, permanently removing them from circulation. This constant reduction in supply makes the remaining tokens scarcer. โtETH is designed for those who want to earn a simple, powerful yield on their Ether. tree is for those who believe in the long-term vision of the protocol and want to have a hand in building it while benefiting directly from its growth. @Treehouse Official #Treehouse
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14 ๐๐ฎ๐๐ ๐ข๐ณ ๐๐ต๐ฎ๐ถ๐ป๐ฏ๐ฎ๐๐ฒ $C ๐๐๐ฝ๐ฒ๐ฟ๐ฑ๐ฎ๐๐ฎ ๐๐ ๐ฝ๐น๐ผ๐ฟ๐ฎ๐๐ถ๐ผ๐ปย - Day 5 We've explored the technology, the problem it solves, and the real-world applications being built. We now arrive at a critical question, one that determines the long-term health of any decentralized project: what makes the economy behind it work? โA token can either be the lifeblood of an ecosystem or a pointless accessory. Tomorrow, we find out which one applies here. โFor Day 5, we're diving into the tokenomics. My goal here is not to speculate on price, but to dissect the token's design and purpose from a first-principles perspective. A well-designed token aligns the incentives of everyone involved, from the developers to the users and investors. โWe'll break down the token's role by asking three fundamental questions: ๐ธโWhat is its Utility? What can you actually do with the token? Is it the primary method of payment for data services? Is it used for staking to secure the network or access premium features? ๐ธโHow does it Accrue Value? As the platform grows and generates more fees, how does that value flow back to the token? We'll look for mechanisms like revenue sharing, token burns, or other sinks. ๐ธโWho is in Control? Does the token grant governance rights? We'll explore if holders get a vote on the future development and direction of the protocol. โUnderstanding the economic model is non-negotiable for anyone trying to get a complete picture of a project. How does this sound for tomorrow's focus? @Chainbase Official #Chainbase
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๐๐ฎ๐ 9 ๐ผ๐ณ ๐๐๐บ๐ฎ ๐๐ถ๐ป๐ฎ๐ป๐ฐ๐ฒ $HUMA ๐ฃ๐ฎ๐-๐๐ถ ๐๐ฟ๐ผ๐ฝย - โNo project, especially one breaking new ground in finance, is without risk. After Eight days of exploring the potential, it's time to put on our risk-analyst hats. Let's be clear-eyed about the challenges involved. โThe innovation of bringing uncollateralized lending on-chain also introduces specific risks that users and lenders must understand. The protocol is designed to manage them, but they can never be eliminated entirely. โThe primary risks in the Huma ecosystem fall into a few key categories: ๐ธโCredit Default Risk: This is the most obvious one. What happens if a borrower fails to pay back their loan? In this system, the risk is primarily shouldered by two groups: the lenders in the pool who lose their principal, and the underwriters who approved the loan, as they will lose their staked capital. This is the fundamental risk of any lending activity. ๐ธโUnderwriter & Oracle Risk: The entire system's health relies on underwriters making smart, informed decisions. If a group of underwriters consistently approves bad loans, it could drain a lending pool. Similarly, if the appraisers (data oracles) that feed them information are compromised or inaccurate, it could lead to poor risk assessment. ๐ธโSmart Contract Risk: This is a universal risk across all of DeFi. A bug or vulnerability in the protocol's code could be exploited by a hacker, potentially leading to a loss of funds. While reputable projects undergo extensive audits, the risk is never zero. ๐ธโLiquidity Risk: If a large number of lenders decide to withdraw their capital from a pool at the same time, it could leave insufficient funds for new borrowers, temporarily halting the pool's function. โHuma's model, particularly forcing underwriters to have "skin in the game," is a direct attempt to mitigate the biggest risk of default. However, anyone interacting with the protocol must weigh these factors. @Huma Finance ๐ฃ #HumaFinance
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๐๐ฎ๐ 5 ๐๐ป๐๐ผ ๐๐ต๐ฒ ๐ช๐ผ๐ฟ๐น๐ฑ ๐ผ๐ณ ๐๐ฎ๐ด๐ฟ๐ฎ๐ป๐ด๐ฒ $LA ๐ญ๐ ๐ฐ๐ผ๐ฝ๐ฟ๐ผ๐ฐ๐ฒ๐๐๐ผ๐ฟ - For Day 5, weโre tackling a frontier previously thought impossible for blockchains: Artificial Intelligence. โRunning an AI model directly on-chain is computationally prohibitive. The sheer cost and processing power required make it a non-starter. Lagrange provides the elegant solution by enabling ZKML, or Zero-Knowledge Machine Learning. โHereโs the process: Lagrange executes complex AI models off-chain on its high-performance network. As the model runs, a ZK proof is generated. This proof is a compact, cryptographic guarantee that the computation was performed correctly and without tampering. โThis tiny proof is then sent to the on-chain smart contract. โThe impact is revolutionary. The smart contract doesn't need to run the AI model; it only needs to verify the ZK proof, which is incredibly fast and cheap. This allows the contract to trust the AI's output without relying on a fallible, centralized server. โThis capability unlocks a new wave of intelligent dApps. We can now build smarter DeFi protocols with AI-driven risk models, more efficient DAOs that use ML to analyze proposals, and advanced identity systems. โLagrange provides the crucial bridge, making blockchains not just faster, but fundamentally smarter. @Lagrange Official #lagrange
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