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How to Build an Airdrop Monitor with AI

This story is from 2026-09-05. It is preserved in the archive; the latest stories are on the live feed.

Detecting crypto airdrops often feels like searching for a needle in a haystack. Manual tracking is inefficient, and by the time you notice a new project, the window for eligibility is usually closed. By integrating Large Language Models (LLMs) into your monitoring pipeline, you can automate the di…

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  1. 2026-09-05 06:41 · DEV Community — AI
    How to Build an Airdrop Monitor with AI

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