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GlobeHoppr – find a route between cities using limited-distance jumps

Hacker News

GlobeHoppr – find a route between cities using limited-distance jumps

Hi HN, I built a game where you have to travel from point A to B by hopping through intermediate cities. Each jump has a maximum range, so you can’t simply select the destination. You need to build a route through cities that are close enough together, using as few jumps as possible. It sounds straightforward until you need to cross a part of the world where you only know one or two cities. I’ve found that the game exposes a different kind of geographical knowledge: not just knowing where countries are, but understanding how cities connect across a region. There’s a fixed daily route that everyone can compare, along with unlimited practice games, weekly challenges and multiplayer. I hope people enjoy it and I would love any feedback!

Visit productView on Hacker NewsJul 30, 2026
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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
74%74% 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 · Missing: mobile apps, ios, personal
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: using · Missing: mac, agents, macos
40%40% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% 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.

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