Data
Let the data discussions flow- onchain or offchain.
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gMorpho To track user deposits from FarCaster using the frame in the first 24 hours we‘d love some data. We have analytics after but unix timestamp from 1733234400 till 1733407200 On Base chain contracts 0xc1256Ae5FF1cf2719D4937adb3bbCCab2E00A2Ca 0xc0c5689e6f4D256E861F65465b691aeEcC0dEb12 Calls with deposit function. export const vaultABI = [ { "inputs": [ { "internalType": "uint256", "name": "amount", "type": "uint256" }, { "internalType": "address", "name": "receiver", "type": "address" } ], "name": "deposit", "outputs": [], "stateMutability": "nonpayable", "type": "function" } ]; Need to be formatted into a CSV of all these transactions with txhash, fid, deposit amount, contract address and the total sums over deposit amount and # users Bonus points if it’s a dune query + CSV. Though just CSV so I can get aggregates suffices @bountybot 50 USDC deadline 2024-12-24
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There’s so many ways to slice a problem until you forget what approaches are there so you avoid searching exhaustively. It’s best to choose a model that you vibe or are familiar with. As an analyst, it’s cardinality, quantity, time. A marketer thinks in funnels and conversion. Product: engagement/retention. Trader: supply, demand (liquidity) and positioning. Consultant: issue trees The trick is to resonate psychologically with your stakeholders and understand the root of the problem and approach they can implement. They all slice different but serve the same food For instance, if you are asked how can to increase trading volume. A consultant would break down into users and volume. An analyst would tell you we need more user types and pools. A marketer would then tell you ask what users come into use the DEX and do afterwards. Product ensures that users have a use case across all scenarios to increase retention and engagement. Traders do their mark out analysis, when bid/asks are made.
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