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Score neighborhoods across Germany, United States, France, Spain, United Kingdom, Netherlands, Switzerland, and Australia on a free interactive map. Draw drive-time and transit catchment territories, compare areas and overlap, and estimate captured demand and cannibalization with the Huff model. No signup, no sales call.
👋 Hey Product Hunt!
Maker here. I built MapBees because every "location intelligence" tool I looked at asked me to just trust a score — no idea what's inside it, no way to check the math, and usually a demo call and a price tag before you even get to try it.
MapBees does the opposite. It's a free, self-serve map where every number is explainable — click any hex tile and you'll see exactly which signals (demand, competition, demographics, accessibility) drove that score, and how much each one counted. No black box, no signup, no sales call.
A few things you can do with it today:
🎯 Score any city block 0–100 for site selection, with live weight sliders
🎨 Bivariate — color a map by two metrics at once to spot patterns neither one shows alone
📍 Territory Mapping — draw real drive-time trade areas and see exactly where they overlap
📊 Market Share — a proper Huff gravity model to estimate who's really winning contested customers between competing locations
It's all built on open data (Overture Maps + public census sources), so anyone can go verify the inputs themselves.
Would love your feedback — especially if you've worked in retail site selection, franchising, or urban planning and have opinions on what's missing or what the math should look like. Try it live at mapbees.com and tell me what breaks!
Drew a 10-minute drive-time zone around my favorite bakery in Berlin and the catchment overlap tool instantly showed me which nearby spots were stealing foot traffic. Honestly impressive that something this useful lives behind a no-signup link.
The Huff model estimate was surprisingly accurate when I tested it against a few areas I know well, and not having to sign up or sit through a sales call is honestly refreshing.
love that the drive-time and transit catchments work together on the same map, makes comparing accessibility across neighborhoods actually feel intuitive instead of a spreadsheet chore
Drew a quick 15-minute drive time around a Berlin café and it matched my commute almost exactly, which was a nice surprise. The Huff model overlay is genuinely useful for figuring out where a new shop would pull demand from.
Drew a 15-minute drive-time around a Berlin address and the territory rendering was instant, no lag or signup wall. The Huff model overlay for comparing two overlapping zones is genuinely useful for anyone scouting locations.
About MapBees on Product Hunt
“Smarter locations, faster decisions”
MapBees was submitted on Product Hunt and earned 5 upvotes and 10 comments, placing #157 on the daily leaderboard. Score neighborhoods across Germany, United States, France, Spain, United Kingdom, Netherlands, Switzerland, and Australia on a free interactive map. Draw drive-time and transit catchment territories, compare areas and overlap, and estimate captured demand and cannibalization with the Huff model. No signup, no sales call.
MapBees was featured in Tech (627.8k followers) on Product Hunt. Together, these topics include over 165.7k products, making this a competitive space to launch in.
Who hunted MapBees?
MapBees was hunted by tinkal amazon. 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.
Want to see how MapBees stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
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