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Google Maps + Pokemon, for real this time: Mobbles

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Google Maps + Pokemon, for real this time: Mobbles

Following the Google Maps April's fool and seeing the reaction around it, I feel the need to post about our app: Mobbles ( http://www.mobbles.com ) In a nutshell, it's Google Maps + Pokemon + tamagotchis It's a real-life creature hunting. Once caught, you'll need to take care of your creatures (like Tamagotchis), you can then trade/fight them with your friends! Some creatures are only catchable in Asia. Some creatures are only catchable in France. Some creatures are only catchable during full moon nights. Some creature are only catchable early in the morning. etc. We've had some users tell us they go out at night and hunt! Or users actually putting their alarm clock early to catch this one Mobble! Some feedbacks are quite unbelievable sometimes, like someone crossing the whole city of LA to catch an exclusive Mobble we put around the convention center during E3. HN is actually responsible for this game since we applied through our incubator (I/O venture) after sseing a link here. Anyway, for those who are frustrated by Google's april fool, you should give Mobbles a try! Looking forward to your feedback!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
68%68% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: google, user · Missing: mac, agents, macos
65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: google, users, way · Missing: mobile apps, ios, personal
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: exclusive, users · Missing: plus, platform, intuitive
30%30% 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
18%18% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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