Strollhunt – Like Pokémon Go but you learn about the city by playing

Hacker News

Strollhunt: Walk, Play, Learn is a free mobile app to find and create games to play in the real world. It’s the fun of Pokémon Go, plus you learn about the city by playing. Strollhunt is for visitors and locals alike. You can play in 50+ cities around the world and growing (SF, NYC, Seattle, London, Paris, Barcelona, Berlin, Tokyo, etc.) on iPhone, and starting today on Android. Please accept my apologies if you download Strollhunt and we're not available to play in your city, the world is big and we have very limited resources, but you can add your city to the Strollhunt Platform by creating new points of interest to discover through play straight from the app. Indeed, Strollhunt is also a no-code Augmented Reality platform, so if you're interested in creating an immersive experience at any outdoor location in the world, Strollhunt can help you do just that. What is Strollhunt in 20 seconds: https://youtu.be/kwZFRZ5HpV4 Get Strollhunt for iPhone: https://apps.apple.com/us/app/strollhunt-walk-play-learn/id1... Get Strollhunt for Android (launched just today on the Play Store and on Product Hunt): https://play.google.com/store/apps/details?id=com.strollhunt... I'd love to get your feedback on your experience trying Strollhunt in your city. If you encounter any irregularities in the look and feel of the app, or if you stumble upon any aspect that seems ambiguous or could benefit from enhancement, please let me know in comments or by tapping the 'Contact Us' button found within the Menu. My ambition with Strollhunt is to turn cities into playgrounds and to make people more present in the real world. And often I found myself dreaming of Strollhunt one day being called by many, the most fun way to explore cities. If you can't try Strollhunt in your city, here's a demo of the experience of exploring a city with Strollhunt: https://youtu.be/WDXj4-aXi8w If you want to know more about why we do what we do: https://medium.com/@strollhunt If you want to get in touch with me, you can find me here: https://www.linkedin.com/in/lucasbraunschvig/en Have a playful weekend and remember to Walk, Play, Learn

Visit product View on Hacker NewsJul 28, 2023

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

84%84% 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: apple, google, apps · Missing: mac, agents, macos

57%57% 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

54%54% 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: apps, google, way · Missing: mobile apps, ios, personal

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: plus, platform · Missing: intuitive, reviews, host

53%53% 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

24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: real world · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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