Some queries that should work:
- A zip code (should be fastest, shows block-by-block population density)
- An address (block-level population density within the surrounding zip code)
- A demographic/population/housing indicator (e.g. "$500k+ homes", "percent of people who drive to work" - shows US States and you can double-click to see more detail)
- A comparison between two indicators (e.g. "median income vs homeownership rate") - this shows two maps which zoom & pan together
You can also try to search for an indicator and a place, e.g. "population density by zip code in Los Angeles County" - this only works sometimes though, I'd like to made it more reliable.
Searching these demographic indicators is tricky and I haven't totally solved it, but I think this works reasonably well. The search backend uses LLMs for query parsing, result selection, & embeddings, and uses postgres full text search + pgvector for retrieval. The app is hosted on CloudFlare Workers and mostly written in TypeScript.
I posted this as a Show HN about a month ago, but am posting again because I've made some pretty substantial changes since then (block-by-block data and comparisons are new).
[1] Specifically, population and occupied/vacant/total housing unit counts, with some randomness added by the Census for privacy
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