Geocode.XYZ
Geocode and Geoparse Places to X, Y, and Z - worldwide
I wanted to scan books for locations so I could build a worldwide map of literature. There was no API suitable for this task, so I built my own. Turns out, a lot of others had a similar need.
Share cardActual performance
27followers
Made the leaderboard
Launch Intel predictions
Analyze your own launch →65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
40%40% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Bi
Bimble – All Your Favourite Places26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Bimble – All Your Favourite Places
Sh
Showing places with kebab cuisine in Austria, Germany and switzerland25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Showing places with kebab cuisine in Austria, Germany and switzerland
Pa
Pandacodium (worldwide hackathon we bootstrapped)50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pandacodium (worldwide hackathon we bootstrapped)
Pulps17%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Your best places
We
Website to find places to volunteer virtually44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Website to find places to volunteer virtually
Humbo14%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find places to visit. Share where you have been.
Bi
Bimble.com – For places that mean something to you33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Bimble.com – For places that mean something to you
Pl
Places on mobile34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Places on mobile
IH
IHBH – Find people who visit the same places47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
IHBH – Find people who visit the same places
Bi
Bimble – A Home for Your Places44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Bimble – A Home for Your Places