AI Student Builds Trade Analytics Boilerplate Using Streamlit and Plotly

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An AI/ML student and freelance developer created LandedIQ, a trade analytics dashboard that calculates landed costs by combining base price, import duty, freight, and insurance. Built with Streamlit and Plotly, the project was born after the developer repeatedly rewrote the same currency conversion and charting logic across multiple client projects. Key technical decisions included using Plotly over streamlit-echarts due to Python 3.13 compatibility issues, and caching exchange rate API calls hourly to prevent redundant requests. The app is deployed on Railway, requiring a manual start command to bind to all network interfaces rather than just localhost. The developer has since packaged the project as a purchasable boilerplate, complete with documentation and a PDF setup guide, listed on Gumroad and Contra.

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