An unofficial sequel to Theseus and the Minotaur (the logic game)

Hacker News

I’m a big fan of logic puzzle games, and Theseus and the Minotaur ( https://en.wikipedia.org/wiki/Theseus_and_the_Minotaur ) is one of the best I’ve seen. Mazeplex ( https://play.google.com/store/apps/details?id=com.invariantl... ) is based on the core mechanics of that game (player moves once, then the monster moves twice with a known algorithm), and I’ve added more elements (like a teleport and different types of monsters. I built it with only native Android components (no game engine such as Unity) and wrote it in Kotlin. It was a fun project to work on, and generating the levels was the most challenging task.

Visit product View on Hacker NewsFeb 1, 2018

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2points

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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.

TrustMRRFits verified-revenue profile · Strong signals: apps, google · Missing: mobile apps, ios, personal

57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

39%39% 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: google, apps · Missing: mac, agents, macos

19%19% 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

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.

Correct prediction on native model

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