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DIR-B8-85I-IMWR/LVL 2·Guided ArbitrageGuided multi-step solo arbitrage producing a concrete deliverable. Requires basic commercial judgment. Examples: formatting extracted data into a $99 compliance checklist and cold-emailing 500 affected businesses; translating a buried scientific abstract into a viral short-form script monetised via affiliate links./80% confidence
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Monetize Social Media Flood Imagery via Scraping and Dataset Sales

Organization
Social media platforms (Twitter, Reddit, Facebook)
Sector
Climate tech researchers and startups needing training data
Location
Location unspecified
// Venture Capital// Backend// Humanitarian Aid & Relief// Data Scraping// Climate Adaptation// Machine Learning & Modeling// Open-Source Intelligence// Data Engineering & Pipelines

Executive summary

Current state

NSF awarded $304k SBIR Phase I grant to ISEECHANGE for AI flood mapping technology, creating a structural commercial gap where technical validation funding exists but zero commercialization resources are provided, generating three asymmetric exploitation vectors around bridge financing, patent choke-points, and data monopolization.

Market catalyst

Social media platforms contain millions of user-submitted flood photos with timestamp and sometimes location data, but no one aggregates this into organized, searchable datasets for AI training and research purposes.

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Field notes

Intelligence ledger

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