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ATLAS
AI that guesses any street view location in 3 seconds
ATLAS looks at a street view image and predicts where in the world it is: country right about 81% of the time, measured in real games. Built as a Windows desktop app for GeoGuessr players who want an AI teammate, coach, or bot.
Hi Product Hunt. Solo builder here. ATLAS started as a question: how well can an AI locate a single street view frame with no metadata, just pixels? The answer today, measured across 1,600+ real GeoGuessr rounds, is about 81% country accuracy with a plausible map pin, in about 3 seconds on a normal PC.
A few honest notes, because this space is full of inflated claims:
- 81% is a real game number, not a lab benchmark. We publish how we measure it on the blog, including where the model is weak.
- It runs as a desktop app that reads the screen. Nothing is injected into the browser and no game files are touched.
- It is 19% wrong. We think shipping the real number matters more than a 99% that only exists in a cherry picked test set.
People use it as a coach (compare your read of a round against the AI), as an accessibility tool for players who cannot grind meta study, and yes, as a bot. Happy to answer anything about the tech, the accuracy measurement, or the ethics; I would rather have that conversation openly.
About ATLAS on Product Hunt
“AI that guesses any street view location in 3 seconds”
ATLAS was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #107 on the daily leaderboard. ATLAS looks at a street view image and predicts where in the world it is: country right about 81% of the time, measured in real games. Built as a Windows desktop app for GeoGuessr players who want an AI teammate, coach, or bot.
On the analytics side, ATLAS competes within Artificial Intelligence, Maps and Games — topics that collectively have 584.6k followers on Product Hunt. The dashboard above tracks how ATLAS performed against the three products that launched closest to it on the same day.
Who hunted ATLAS?
ATLAS was hunted by Sven. 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 ATLAS including community comment highlights and product details, visit the product overview.
Sven