Trailmarks – Huge, browser-based, Carmen Sandiego-style travel game

Hacker News

I'd love to have people test-play my Carmen Sandiego/Backpacker style travel game. It's a retro genre... but if you like geography and quizzes, you'll like this! It's a working alpha with most of the content I intend to add, but I need to have people give it a try now before I decide which directions to fully develop! I'm torn between putting effort into missions, more advanced in-game trading economy or creating more of a narrative. But I'm also curious if you get the navigation, if the core gameplay makes sense and if you want to continue playing, basically. Hope you find it worth playing. It's a pure browser game with no login, you're playing for free immediately in this alpha! Please feel welcome to DM feedback or reply or anything!

Visit product View on Hacker NewsApr 22, 2025

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AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

TrustMRRLess likely to generate early MRR · Strong signals: trading · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

41%41% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

36%36% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit

15%15% 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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