India Trade Explorer
What this proves
AI can turn opaque trade datasets into an opportunity surface people can actually navigate instead of leaving them trapped in spreadsheets and PDF summaries.
A public-data explorer that combines India trade flows, partner maps, strategic commodities, and opportunity scoring into one navigable surface for founders, operators, and researchers.
This build is part of the flagship proof collection on ShipWithTez: practical examples that make a new capability feel obvious through a real workflow, real data, or a live interactive surface.
What This Proves
Trade data is valuable and intimidating at the same time. The files exist, the APIs exist, and the official reports exist, but most people still cannot get to a usable answer without a lot of manual cleanup and synthesis.
This build shows a better pattern:
- combine multiple public or low-friction sources
- let AI help structure the questions and views
- ship one interactive layer that surfaces signal instead of raw tables
That makes trade data useful beyond economists. It becomes usable for builders, founders, operators, and anyone trying to spot patterns or opportunity areas.
What I Built
India Trade Explorer adapts the strongest parts of a TezEx experiment into a public proof asset. The live surface brings together:
- partner-level trade flows across multiple years
- country and commodity views in one place
- strategic commodity slices like gold, silver, crude, and minerals
- opportunity scoring and trade-angle exploration instead of just descriptive charts
The result is less "look at this dataset" and more "here is a way to explore a complicated market surface quickly."
Data Note
The live proof packages together free/public trade data plus curated supporting research from the original experiment. Coverage currently runs through calendar 2025 trade flows plus early-2026 trade-deal context, and the exported explorer was rebuilt on March 20, 2026.
That constraint matters. The goal here is to prove how far one person can go with public data, AI-assisted synthesis, and a fast shipping workflow.
What You Can Steal From This
- Blend sources instead of waiting for one perfect dataset: the useful product comes from combining trade flows, commodity breakdowns, and curated context.
- Design around decisions, not charts: "where are the opportunity pockets?" is a stronger framing than "what are the top imports?"
- Use exported explorers as content assets: one good interactive can feed a build page, blog post, and multiple newsletter angles.
Get the next build and workflow breakdown.