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Built a tool that turns Discord discussions into structured UMA data 🚀
Just finished a Python pipeline that connects Discord threads with UMA voting data.
What it does:
— collects messages
— extracts market_id
— links with UMA results
— cleans & structures data
— exports to CSV / SQLite
The goal: turn messy discussions into something analyzable.
Had to deal with inconsistent data, edge cases, and linking off-chain with UMA.
Now it runs end-to-end and produces clean datasets ready for analysis.
Pretty cool to see chaos → structured data.
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