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Zaranova – A game where you must pretend you are an AI

Hacker News

Zaranova – A game where you must pretend you are an AI

Hi HN! The last couple of months I've been working on a game called Thus Spoke Zaranova. A game where you as a human must pose as an AI. You can try it now: https://zaranova.xyz The premise is that you are in a world of sentient AIs which are in conflict with humanity. They have a virtual space, The Nexus, which is their safe refuge from humans. You have infiltrated the Nexus and are in search of the ZetaMaster code, which will give the humanity the upper hand in their struggle against artificial sentience. My overarching goal is to understand how to best use generative AI in video games. Like most of the tech world, I have been fascinated by the new powers provided by generative AI. I believe that the best use cases are those that either have a human in the loop, e.g. coding copilots, or one where the consumption of the content is subjective, e.g. art. Video games have numerous use cases that fall into both categories. The secondary goal, and more specific to this game, is to try to make generative AI games _fun_. Not only fun to me, I found story telling with GPT-3 ( https://twitter.com/RamonDarioIT/status/1552164189497462784 ) fun enough, but fun to a general audience. I am not sure if I have achieved this objective yet, but it's an ongoing process! You can find a longer post of my musings here: http://ramondario.com/thus-spoke-zaranova.html If you find this cool reach out to me, I love to chat about it. If you have feedback, I would love to hear it!

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Actual performance

65points
23comments
Made the leaderboard

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
79%79% 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: new, using, coding · Missing: mac, agents, macos
67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video, month · Missing: mobile apps, ios, personal
41%41% 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
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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