Ti

Tiny – A 2D Game Engine in Kotlin Working with Lua

Hacker News

Tiny – A 2D Game Engine in Kotlin Working with Lua

I created a small 2D game engine named Tiny. The engine was created using Kotlin Multiplatform and can run on a JVM and JS. Funny things: Games can be created using the programming language Lua. Tiny is designed to help you create and test your ideas quickly and effectively. Not only can you run your games on your desktop computer, but you can also export them for the web, making it easy to share your creations with others. You can create games easily with the hot reload, small API and Lua, which is very easy to learn. If you want to test a game idea, to try to create your first game or just have fun, give it a try to Tiny.

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Actual performance

100points
28comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsStrong engagement from HN community · Strong signals: lua, ide, game engine · Missing: https docs, excited, just released
77%77% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: computer, tiny, using · Missing: mac, agents, macos
67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
33%33% 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
30%30% predicted probability of success on AppSumo, 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
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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