Decision Chess – A chess variant where players play on the same turn

Hacker News

Feel free to join the discord, link on the home page. I recommend just going through the intro and special lessons to learn the rules. I've had reports the game doesn't load on Mac and I can't debug it, otherwise give the game maybe 10 seconds to load. The site is best viewed on desktop. You can do things like chat, spectate live games, play from a custom position, play timed modes with increments, or sign up for an account for ranked games and tracking games in your profile. The AI for the variant is not very good and is essentially random as I didn't have a good idea on how to implement it efficiently so I recommend playing against someone else. There might be some bugs. I made some subvariants for fun but am unsure if they're any fun to play and might tweak them if the site catches on. Any feedback is welcome!

Visit product View on Hacker NewsFeb 22, 2025

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82%82% 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.

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

47%47% 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

42%42% 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

38%38% 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: efficient · Missing: plus, platform, intuitive

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 · Strong signals: chat · Missing: web3, crypto, cryptocurrency

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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