14 𝗗𝗮𝘆𝘀 𝗢𝗳 𝗖𝗵𝗮𝗶𝗻𝗯𝗮𝘀𝗲 $C 𝗛𝘆𝗽𝗲𝗿𝗱𝗮𝘁𝗮 𝗘𝘅𝗽𝗹𝗼𝗿𝗮𝘁𝗶𝗼𝗻
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Day 1
So first at all we have to understand what is Hyperdata and use case of it.
First, we have to understand what Chainbase does. They are a Web3 data infrastructure company. Running a node and trying to make sense of raw blockchain data is a nightmare, it's messy, complicated, and slow. Chainbase does all the heavy lifting of collecting, cleaning, and organizing that data for developers.
Now, "hyperdata" is Chainbase's specific term for their final, polished data product. It's not a generic industry term; it's their brand for the powerful, unified dataset they provide.
Think of it like this:
🔸Raw Blockchain Data is like a text file with every GPS coordinate of every car in a city, updated every second. It's technically all there, but it's a nightmare to use.
🔸Chainbase's Hyperdata is like Google Maps. It takes those raw coordinates and transforms them into a living, breathing map. You can see the cars, the roads, the traffic, the business names, and you can easily ask complex questions like, "Show me all the delivery trucks that stopped in this neighborhood in the last hour."
Hyperdata is essentially does these things :
🔸Multi-Chain: It combines data from Ethereum, Polygon, BNB Chain, and others into one single database.
🔸Decoded & Enriched: It translates raw transaction code into human-readable events (e.g., "NFT Mint," "Token Swap") and enriches it with other data, like real-time token prices.
🔸Interconnected: This is the "hyper" part. It links all the data together. You can easily track an address's entire history, see how protocols interact, and understand the relationships between different on-chain actions.
