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Record the latitude, longitude coordinates of every ATM

Hacker News

Record the latitude, longitude coordinates of every ATM

You can see I have a few verified ones here: https://kidbank.team/atms and tomorrow I will walk all over the city with the iOS app installed and take more pictures. It's all open source https://github.com/higherdotteam/kidbank the basic idea is: 1) Users use iOS app to seed our database of every ATM in the world. The app uploads a photo and the location. 2) Once we have enough phase II starts and the iOS app uses AR to show a virtual Kidbank ATM next to every real ATM. 3) Kids learn about banking and have fun making pretend withdrawals at every ATM in the world just like grownups can. If you want to help testflight the iOS you are welcome to!

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Strong signals: ios, users · Missing: mobile apps, personal, entrepreneurs
63%63% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released
57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: user, open · Missing: mac, agents, macos
42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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