Something I find strange: there are hundreds of AI tools for writing, coding, design, and marketing, but almost nothing built specifically for economic research.
Economists and analysts are still manually pulling data from government websites, copying numbers into spreadsheets, and writing their own analysis from scratch. The workflow has barely changed in twenty years.
That is why I built EconLens—not as a general‑purpose AI with some economics knowledge bolted on, but as a tool where the data pipeline is the product. Every request queries five official sources, uses smart indicator selection, runs historical pattern matching, and returns inline charts.
The gap in the market was obvious. The hard part was building the infrastructure to make it reliable: handling different APIs, formats, update frequencies, and error conventions without exposing any of that complexity to the user.
If your job depends on understanding macro, you should not be copy‑pasting CSVs at midnight. You should be asking better questions and stress‑testing scenarios. EconLens exists to make that the default.
econlens.app.