I tracked the Iran-USA conflict, oil prices, and Bitcoin — without a data team

Roshni Melwani describes her experience tracking the Iran-USA conflict, oil prices, and Bitcoin fluctuations using the dltHub AI Workbench, a tool that allows users to build data pipelines by simply instructing an AI agent. Despite not being a finance expert, she explored news volume, oil prices, and Bitcoin prices using APIs recommended by the Claude Code AI, which guided her through setup, debugging, and data visualization tasks. The entire process, from creating data streams to deploying a comprehensive dashboard with 13 charts, was completed in just one afternoon, showcasing the efficiency of AI-assisted pipeline development. The work highlighted unexpected insights, such as Bitcoin's rise coinciding with news surges during the Hormuz blockade, and emphasized the importance of understanding data sources, as illustrated by GDELT's uneven coverage. Melwani's experiment underscored the potential for rapidly deploying data solutions without a full data engineering team, raising intriguing possibilities for future data-driven inquiries.

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