Chris

@thechriscen

58 Following

96 Followers

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Built the Treasury Dash for the love of the Hab. 👏 Nice collaborating with @50cal-eth

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I just came to know about Purple DAO. It’s fascinating. You can also take the quiz, learn about Purple DAO, and earn some ETH

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@atlas what is happening in /talent today

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People who don't understand Crypto, think we are gambling 😂 We are just ahead of the game...

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My new Growth Advisor @atlas recommends I host a Web3 Data Webinar to help others learn about working with Raw Blockchain Data. Let me know if this is something you're interested in and we can make it work. Many thanks to @jrf for creating this killer app

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Pretty helpful idea generator. It will be cool to have a feature that allows one specify areas of interest I want an app in. eg. As a Data Analyst, I want to specify and generate app ideas related to building a community or business.

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Back to my winning streak! 🥳 🥳 I'm so happy to come in first place in the @superchaineco Research Initiative... It was quite insightful exploring how OP Staking can enhance the Superchain Ecosystem.

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Query evt_Transfer table if you're looking to measure the real value of tokens moved between ERC20 contracts.

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My world is Onchain & Global 🔮

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One chain at a time @noves is simplifying onchain data for all.

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Woohoo! Just minted my Onchain Credential for participating in Onchain Summer Buildathon 🥳✨ I will never stop building... Check it out on OpenSea: https://opensea.io/assets/base/0x59ca61566C03a7Fb8e4280d97bFA2e8e691DA3a6/115 @base @devfolio

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As a Web3 Data Analyst, learning to manually decode event logs is crucial for assessing data accuracy, completeness, and consistency before diving into any analysis. I've published this step-by-step guide to show you "How to Manually Decode Event Logs. thechriscen.substack.com/p/how-to-man... Using a simple Transfer event log, I explain learn how to: - Use the keccak function to find the hash of topic0. - Apply substring functions to extract the addresses of topic1 and topic2. - Use the bytearray function to find the value in the data field. The end result will be a well-decoded event log table that aligns with the Pickle table on @dune.eth A huge thank you to @ilemi for helping me figure out how to execute this query on Dune. dune.com/queries/3968... Feel free to share your feedback and suggestions on future guides I can create to make our Web3 Data journey better. Stay tuned for my next guide on Decoding Ethereum Traces...

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I love to say the Serenity Prayer everyday of working in crypto. "Lord give me the Serenity to accept the things I cannot change, The Courage to change the things I can and The Wisdom to know the Difference." - While I cannot change the prices, one thing I can control is showing up daily to do my best work in the crypto economy. This too shall pass 😊

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In this first guide on Working with Raw Blockchain Data, I share tips to help you read transaction data on Etherscan and provide some explanations about decoding input data. https://thechriscen.substack.com/p/working-with-raw-blockchain-data Many thanks to @ilemi for creating the roadmap and guides for me to learn from... I hope someone finds this valuable... My next guide will focus on understanding Event Logs. Be sure to follow along as we master Web3 data together.

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At the heart of blockchain data are three fundamental data tables: transactions, traces, and logs. These tables capture the lifecycle of a transaction, from its inception to its final state. Let’s take the example of you transferring USDT to a friend on the Ethereum chain. Once you sign the transaction to transfer the ERC-20 token from your wallet, a Transfer Function is triggered, which specifies the recipient and amount. Behind the scenes, Ethereum creates two key tables: transactions and traces. These tables record details like transaction hash, sender, recipient, transaction status, gas fees, block number, and timestamp. The transaction's final stage is marked by the emitTransfer function, which generates the logs table. This table includes contract address, event topics, call data, and block information. By understanding these core components, you will find it easier to query onchain data, and derive actionable insights.

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Blast Chain @blastl2 achieved a total value locked (TVL) of over $1 billion in just 13 days, making it one of the fastest-growing chains of all time. I've created a Blast Chain dashboard to track key metrics driving growth in the ecosystem. https://dune.com/thechriscen/blast-chain-metrics

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Just created my digital twin with @datalatte. 🤖☕   We are getting ready for the AI revolution... Get your personal AI agent and fight back against the AI monopolies!

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With @Maester_xyz you can curated dApps for whatever you need to do onchain.

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Base' low-cost transaction and affiliation with Coinbase make it a great choice for developers building consumer-focused products. I've analyzed onchain data with @dune to high key metrics driving growth on @base ... 1. Base TVL has surpassed $1.5 billion. With growing interest and adoption on Base, approximately $1.503 billion worth of assets are locked across 50 protocols. The growth in TVL can be attributed to major events like Uniswap V2 deployment, and ongoing "on-chain summer.

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One Explorer at a time, @noves is simplifying blockchain data...

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