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Map AI
US neighborhood data, trade areas and sales forecasts
Map AI is an interactive map of the United States built for location decisions. It shows over 100 indicators — income, housing, schools, crime, health, commute, amenities and competitors — down to one-mile cells. Users build drive-time trade areas, compare two addresses side by side, and forecast revenue for a site.
Map AI is a location intelligence platform that helps businesses, real estate professionals and homebuyers evaluate a specific place in the United States.
Location decisions are usually made on partial information. Demographic data is published at county or tract level, traffic counts are often several years old, and competitors have to be counted by hand. The decision ends up resting on averages that do not describe the actual site.
Map AI resolves data to one-mile and five-mile cells across the United States, covering over 100 indicators including income, housing values, school rankings, crime, health, commute patterns and points of interest. Trade areas are built as drive times or radii, and the platform sums data only for the cells inside that shape. Two addresses can be compared side by side on residents, visitors, buying power, traffic and competition. A sales forecast estimates gross annual revenue from the customer profile, visit frequency, average check and nearby competition.
Data comes from the U.S. Census Bureau, OpenStreetMap, Mapbox and Ticon traffic measurements.
Map AI is used by retail site selection specialists, franchise operators, real estate agents, investors and analysts.
About Map AI on Product Hunt
“US neighborhood data, trade areas and sales forecasts”
Map AI was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #64 on the daily leaderboard. Map AI is an interactive map of the United States built for location decisions. It shows over 100 indicators — income, housing, schools, crime, health, commute, amenities and competitors — down to one-mile cells. Users build drive-time trade areas, compare two addresses side by side, and forecast revenue for a site.
On the analytics side, Map AI competes within Analytics, Data & Analytics and Data Visualization — topics that collectively have 183.8k followers on Product Hunt. The dashboard above tracks how Map AI performed against the three products that launched closest to it on the same day.
Who hunted Map AI?
Map AI was hunted by Arthur Stepanyan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Map AI including community comment highlights and product details, visit the product overview.
Arthur Stepanyan