Laser, a new game played on a chess board

Hacker News

Laser is a turn based game similar to chess, with different piece movement rules, starting position, and win conditions. It's named after the laser piece, which can shoot diagonally through every piece on the board except for the wall , which blocks it. The detailed rules are on the website. I made the website as a super minimal way to play online against friends. Nobody really knows about it so it might be hard to find a game, but maybe you will against someone on HN if people read this. It uses the lichess.org chessboard UI which is super pretty and allows you to draw on the board, make premoves, etc. The code is public if you are interested: github.com/melgrove/laser If you are playing, good luck, and don't get lasered!

Visit product View on Hacker NewsJul 11, 2023

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

65%65% 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 · Strong signals: way · Missing: mobile apps, ios, personal

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

41%41% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

39%39% predicted probability of success on Indie Hackers, 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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