Sumochess, chess variant where you push pieces out

Hacker News

We made a prototype for a chess variant where you have to push pieces off the board to take them (the king can still capture). What I like about it is that it seems more intense than normal chess, as the game doesn't get simplified much as it goes on, because most of the pieces stay on the board since they are hard to get rid of. And you can make some cunning moves with a well-placed push. I had lots of games where I was in desperate situations and was able to reverse the course, and vice versa, which I believe makes it quite entertaining until the end, and there is not such a big focus on taking a simple pawn for example. What do you think of it? I played it a lot but I still don't know if there is some strategy or opening that would make the game unplayable for the opponent. If that were the case, the rules would need to be tweaked I guess.

Visit product View on Hacker NewsJun 23, 2024

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71%71% 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.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: open · Missing: mac, agents, macos

34%34% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · 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

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.

Incorrect prediction on native model

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