ETHGlobal

For Ethglobal  hackathon my team and I  (@quix & @stoopidpenguin ) built Data Gator! 
In today’s digital world, apps like X, LinkedIn, Facebook, Spotify, and Instagram gather our data to market to us. Yet, users rarely benefit from the data they create. Datagator changes this dynamic.

Datagator lets users consentfully share their data in exchange for financial incentives. Using a Large Language Model (LLM), we aggregate user data into a global information layer accessible to paying customers.

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2/ Data Providers share their information with Datagator and are compensated in real-time when their data is used. This empowers users to control and benefit from their data.

3/ Data Consumers, like businesses and marketers, interact with the Datagator LLM via a chat interface on a pay-per-message basis. They gain deep insights into data trends, helping them make informed marketing decisions.

4/Consumers pay for this service in tokens, which are distributed to data providers when their data is referenced during the Retrieval Augmented Generation (RAG) process.

5/The Datagator flywheel works like this:

More consentful data = Better model results.
Better results = More paying users.
More users = More data providers, adding more data.

When data consumers query the LLM, it performs real-time inference, references relevant user data, and compensates data providers instantly based on the relevance and usage of their data.

also @jessepollak  this will be my third consecutive win at ethglobal for base, am I based enough yet? 😎

1/ When user-owned data is used in text generation, the owner is instantly paid on-chain in tokens, and their data is cited in the response. This creates a balanced ecosystem with two main groups: data providers and data consumers.

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