Epistemeland – explore geometry with our game prototype

Hacker News

Hello HN! We're the team behind Epistemeland ( https://epistemeland.com/ ), a platform dedicated to making learning fun and accessible. We've just released a prototype of a single player game that uses basic geometry. It is a fist, but an important step in creating our MMO game to revolutionize education. The game mechanics are simple but intriguing and naturally incorporated in the game process. We built it with UE5 and want to continue development. We'd love for you to try it out and give us your feedback, which we'll use to guide our next improvement cycle. Our goal is to make education more engaging and we believe in the power of the community to help us achieve that. You can play the prototype directly on our website at https://funny-study.itch.io/epistemeland . We're looking forward to hearing your thoughts and suggestions. Thank you and let’s revolutionize education together!

Visit product View on Hacker NewsJun 19, 2023

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

86%86% 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.

Hacker NewsStrong engagement from HN community · Strong signals: just released, ide, io · Missing: https docs, excited, exist

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

nativeThis product was originally launched on this platform.

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

52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

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

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

13%13% 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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