Mazelit - My wife and I released our first game

Hacker News

Hey folks, About a year ago my wife and I, both closing in on 40, quit our jobs at Red Hat to start a games company and learn game development. Many things happened along the road, and about a week ago we released our first (small) game on Steam. https://store.steampowered.com/app/2816120/Mazelit/ The demo is free to play up to level 8 (the final game plays up to level 80) and we'd appreciate any feedback you have, whether it's for the store page or the game itself. We made the game in Godot 4.2 in roughly 3 months and I was working full time next to it. Since we ran into a bunch of roadblocks, we decided to also offer the entire source code up as a DLC in case someone wants to go look how we implemented the game, mod the game, or compile it for a different platform. The only thing we can't redistribute with the game code is the Steamworks SDK, which is available for download from Steam. (The game minus integration is fully runnable without the SDK, though.) Cheers and happy weekend!

Visit product View on Hacker NewsApr 12, 2024

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Indie HackersFits the IH revenue-focused audience · Strong signals: wife · 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: ide, io · Missing: https docs, excited, just released

73%73% 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: month · Missing: mobile apps, ios, personal

61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

30%30% 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

17%17% 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.

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