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Meatshields – Write your own strategy game AI

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Meatshields – Write your own strategy game AI

Hello, HN! I've posted a couple times here to get feedback on a strategy game I've been working on called Meatshields. All of your suggestions and feedback have been EXTREMELY helpful so I want to thank everyone here once again for generously helping me iron out kinks in the game. One big request I got the last time I showed the game was the ability to write your own AI for it. I thought about it and realized that would be totally do-able! The downside is that you have to host the AI service yourself, so it's sort of BYOAI, but it won't need to support a massive ton of requests or anything like that yet so free webservice hosting like Heroku will be more than sufficient. One of our wonderfully brilliant community members, asah, is currently working on his own AI for the game in python. He hopes to implement machine learning and beat the meta :). He has graciously shared his github project with us. You can check out what he's got so far at https://github.com/asah/meatshields-python-botkit I've also included a text-dump of my basic example bot core AI file in PHP, just to give you an idea of how that works. Warning, it's a little ugly because I just whipped it together as an example community-created bot. It doesn't include the full service architecture like handling the necessary incoming requests. https://pastebin.com/eEY1YYQR If you want to check out the docs for creating an AI, take a look at https://meatshields.com/createBotGuide.php And of course, please do come check out the game itself at https://meatshields.com I hope to see you in a game!

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
84%84% 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.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: mac · Missing: agents, macos, agent
43%43% 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
41%41% 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 · Strong signals: host · Missing: plus, platform, intuitive
37%37% 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
16%16% 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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