I Built a Free AI Platform to Instantly Create Games with Your Voice

Hacker News

Hey HN, I'm Damiano Rodriguez, and I've been working solo on a project called Caisual Games. It's a free platform where anyone can create web games just by describing them with their voice. Here's how it works: You simply describe your game idea ("Make a cookie clicker game with 5 upgrades"), and the platform generates a playable web game in seconds using HTML and JavaScript. There's no coding required and no downloads needed—you can create and play directly in your browser. What's more, anyone can improve a published game, fostering a collaborative environment for game creation. The ultimate goal is to make game creation accessible to everyone by removing the coding barrier. Currently, it's possible to create only simple games, but soon maybe we might be able to create increasingly complex games. To my knowledge, this is a novel approach to game creation. Your feedback will be extremely valuable in refining and enhancing the platform, especially in this initial phase. Thank you. P.S.: You can create multiplayer games too :-) P.P.S: One of the early users made a game about a water drop floating in the air trying to avoid dust particles and trying to merge with other water molecules. I'm very proud of it: https://caisual.com/g/buo4vwbjveg926vt

Visit product View on Hacker NewsAug 14, 2024

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

85%85% 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.

Product HuntOn track for Day 1 leaderboard · Strong signals: user, using, coding · Missing: mac, agents, macos

62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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: lua, ide, io · Missing: https docs, excited, just released

40%40% 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.

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