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$NOT The Telegram Playbook: A Growth-Hacking Case Study How Notcoin Mastered Platform-Native Growth $NOT The viral explosion of @The Notcoin Official was not luck. It was a perfectly executed "growth hack," a strategy that leverages the unique features of a specific platform to achieve massive scale at a low cost. Notcoin's success provides a definitive playbook for any developer looking to build on Telegram's 900 million user ecosystem. The core components of the strategy were: * Leveraging Channels as Pre Launch Funnels: Before the game even started, the Notcoin team built an audience of over 5 million followers in their Telegram announcement channel. This created a massive, captive audience that was ready to play on day one. * Engineering Virality via Direct Messages: The "invite a friend" bonus feature was the primary growth engine. It was seamlessly integrated into Telegram's native sharing function, making it frictionless for users to invite their contacts. On chain data suggests this single feature was responsible for over 60% of the game's 35 million users. * Building Micro Communities with Group Chats: The "Squads" feature was a masterstroke. It directly utilized Telegram's group chat functionality, encouraging users to form over 500,000 organic micro communities to compete together, dramatically increasing engagement and retention. * Frictionless Onboarding with Mini Apps: The game was a Telegram Mini App, meaning there was no app store to visit and no download required. This one click access led to a user conversion rate from impression to first-play of over 60%, a number that is unheard of in traditional mobile gaming. #notcoin @The Notcoin Official #NOT $TON
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$TREE Automated Provenance: The Compliance Layer for Institutional DeFi A Solution for AML and CFT Requirements $TREE Problem: An institutional asset manager receives a $10 million deposit in USDC. Before they can accept these funds, global anti money laundering (AML) and counter financing of terrorism (CFT) regulations require them to perform due diligence to ensure the funds do not originate from illicit sources. Manually tracing a decade of on-chain history for a large deposit is a monumental task that can take compliance officers days of work. Solution: The @Treehouse Official data platform provides the infrastructure for automated on chain provenance tracking. This allows institutions to programmatically answer the most critical compliance question: "What is the full history of this money?" Here is how the automated process works: 1. Data Ingestion: The institution's compliance system queries the Treehouse API with the deposit address. 2. Historical Trace: The system automatically traces the funds' entire on chain history, moving backward through every transaction and wallet, across more than 10 different blockchains and potentially hundreds of "hops." 3. Sanctions Screening: At each hop, the wallet addresses are cross-referenced with known illicit sources, including the OFAC Specially Designated Nationals (SDN) list, which contains over 3,000 crypto addresses linked to sanctions, and databases of known hackers and scammers. This entire process, from ingestion to a final "risk score" report, can be completed in minutes. It is a fundamental compliance tool that enables institutions to safely interact with the on chain economy. #Treehouse @Treehouse Official
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$WCT The Universal Translator: WalletConnect's Chain Agnostic Architecture A Technical Look at Cross Ecosystem Interoperability $WCT The future of Web3 is undeniably multi-chain, but this creates a massive technical challenge for developers and a confusing experience for users. A dApp that wants to operate on Ethereum, Solana, and Cosmos traditionally needs to build three separate connection systems. The @WalletConnect v2.0 protocol was re architected from the ground up to solve this. It acts as a universal translation layer for a world with hundreds of different blockchains. The key to this is a technical standard called CAIPs (Chain Agnostic Improvement Proposals). Here is how it works: Instead of just asking for a generic "address," a dApp using $WCT WalletConnect v2.0 makes a specific, standardized request. * For an Ethereum address, it asks for `eip155:1:<address>`. * For a Solana address, it asks for `solana:4sGj...:<address>`. * For a Cosmos address, it asks for `cosmos:cosmoshub-4:<address>`. This standardized formatting allows a single WalletConnect session to request connections and signatures from multiple, completely different blockchain ecosystems simultaneously. A user can, in one interface, approve an NFT purchase on Ethereum and sign a vote on a Solana DAO. This chain agnostic architecture is a critical piece of infrastructure for building the next generation of cross chain applications, serving a user base that performs over 20 million daily transactions across just the top 10 blockchains. #WalletConnect @WalletConnect #wct
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$BMT Network Theory Meets On Chain Analysis: Identifying Key Influencers An ELI5 Guide to Centrality Metrics $BMT @Bubblemaps.io does more than just draw pretty circles; it applies concepts from a field of mathematics called network theory to reveal the hidden power structures on the blockchain. One of the most basic but powerful concepts it uses is "degree centrality." Let's explain it like we're 5. Imagine a school playground. "Degree centrality" is just a fancy way of saying "popularity." The person who is connected to the most other people is the most popular. On the blockchain, wallets are the people, and transactions are the connections. * A wallet that has only ever done one transaction has a "degree" of 1. It's an isolated node. * A wallet that has sent tokens to 5,000 other wallets has a "degree" of 5,000. This is a "high-degree" node, a center of influence. What does this tell us? A high-degree node is almost never a regular user. It's usually something important, like a centralized exchange's main wallet, a project's treasury that is airdropping tokens, or a major influencer/whale who is distributing a new memecoin. By using $BMT Bubblemaps to filter for and analyze these high degree nodes, investigators were recently able to identify the 100 specific wallets that were responsible for the initial distribution of over 80% of the tokens for a major memecoin launch, providing a clear map of the token's initial power brokers. #Bubblemaps @Bubblemaps.io
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