Wheel Ball – Multiplayer game for the web

Hacker News

This is my second time publishing this project so I've made some improvements based on what I saw people experiencing. New changes: - Added ping status for players connected to the the host - Added boundary checks for ball and player - Improved registration / sign in to make it more intuitive - Improved car controls! - Improved debug UI Tech stack: - Passkey for registration and login - JSON Web Tokens for game server authentication - WebSocket for real-time notifications and tunneled communication between server and player - WebRTC for real-time communication between host and players - Web Crypto API for server configuration and player scores handling Known issues: - Car can end up stuck in a collision when hitting a wall - Matches with more than two players may have some issues with objects data (investigating...) Source code: https://github.com/MiguelRipoll23/wheel-ball Feedback appreciated.

Visit product View on Hacker NewsDec 31, 2024

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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

74%74% 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, code · Missing: mac, agents, macos

62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

40%40% 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: intuitive, host · Missing: plus, platform, reviews

39%39% 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

11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: crypto · Missing: web3, chat, 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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