MapBees scores every block of a city on open map and census data, and shows the formula behind every answer. Ask it in plain words — "where should I open a café?" — and its built-in agent picks a map, says why, and undoes it with a tap.
A startup from Berlin, Germany that is founded by Tinkal Gogoi.
This page is designed to help you find out whether MapBees is good and if it is the right choice for you.
MapBees is a free-tier, self-serve location-intelligence map — with an AI that can drive it for you.
Point it at any street block, and it scores how good that spot is for what you're trying to do — open a business, sign a lease, split a sales territory, or see who's really winning a contested neighborhood. Every score is explainable: click any tile and see the exact breakdown behind the number, never a black box.
The map is an H3 hexagon grid over open data — Overture Maps buildings and points of interest, plus each country's public census data — so every answer is comparable block to block.
Ask, instead of building it yourself. Scout Bee, the built-in map agent, turns a plain question — "where should I open a café?" "which areas have fewer pharmacies than expected?" — into a map. It says which formula it chose and how the colours are cut, in plain words. Apply it with one tap, undo it with another, or take one of the alternative readings it offers. It only moves the same controls you have, so nothing it does is hidden or impossible to check.
Seven named formulas, one map:
Score — best overall spot? (weighted sum) Amount — how much is here? (count, rate, density, share) Variety — how mixed is it? (Simpson / Shannon) Fair share — more than its fair share? (Location Quotient) Missing — how many are missing? (gap analysis) Clusters — is this cluster real? (Getis-Ord Gi*, a real significance test) Cross two — where do two things meet? (3x3 bivariate) How a map is cut into colours is yours too — and on Auto it says which cut it picked and why.
Also: drive/walk/cycle/transit-time trade areas (true road-network isochrones, not circles) with overlap detection, and Huff gravity-model market share for captured, contested, and cannibalized demand. Every map is a shareable link.
No sales call, no GIS degree, no formula syntax to learn. There is a real Free Tier you can do actual work on.
Listed in
Score
best overall spot? (weighted sum)
Amount
how much is here? (count, rate, density, share)
Variety
how mixed is it? (Simpson / Shannon)
Fair share
more than its fair share? (Location Quotient)
Missing
how many are missing? (gap analysis)
Clusters
is this cluster real? (Getis-Ord Gi*, a real significance test)
Cross two
where do two things meet? (3x3 bivariate)
Catchment Area
drive/walk/cycle/transit-time trade areas (true road-network isochrones, not circles) with overlap detection
Huff gravity-model market share
market share for captured, contested and cannibalized demand
Two things. You can just ask it. Type "where should I open a café?" and Scout Bee, the built-in map agent, answers with an actual map — naming the formula it picked and why, in plain words, with an undo on the next tap. And every map is a real, named method, not an unnamed score: Location Quotient, Getis-Ord Gi* hot spots, gap analysis, Simpson/Shannon variety, a 3x3 bivariate cross. Each has plain-word controls with the field's own term beside it. Even how the colours are cut is stated out loud, because where the breaks go is a claim about the data. Click any tile and the exact breakdown behind its number opens — nothing is a black box.
Anyone making a location decision without a GIS team or an enterprise budget. In practice that's small business owners choosing where to open, franchise and sales teams splitting territory, retail and site-selection analysts shortlisting blocks, marketers matching a neighborhood to an audience, event planners, researchers and urban planners — and renters and movers screening neighborhoods for walkability, transit and amenities.
Secondary audience: analysts who already know what a location quotient or a Gi* hot spot is, and want one run on open data in seconds rather than an afternoon.
Because of what you have to bring. Enterprise site-selection suites are powerful and gated — a demo, a licence, a seat cost — before you can look at one block. Desktop GIS is free but expects you to bring your own data, know which method you want, and set it up. Data vendors sell you data, not an answer.
MapBees has the city already loaded, the methods already named, and an agent that will set one up for you if you'd rather describe the question than build it. Every number is explainable and every map is a shareable link that reopens the exact same analysis. There's a real Free Tier, so you can check whether it answers your question before anyone asks you for a card.
We have collected here some useful links to help you find out if MapBees is good.
Check the traffic stats of MapBees on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of MapBees on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of MapBees's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of MapBees on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about MapBees on Reddit. This can help you find out how popualr the product is and what people think about it.
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