Family Chess: Play across firewalls and Internet cultures

Hacker News

Hi HN! I built a simple chess game so that my son in Singapore can play chess with his grandfather in China. Why? There is currently no service or open source software that has all of the following: * All processing and assets on a single server (Critical to workaround a firewall) * No email account required (Chinese Internet services typically login via WeChat) * Works on Android browser * Simple to install and config I built it, together with Claude Code, using simple and boring technologies (Django + Client-side JS). I hope that when you use it, you will find it simple to understand (everything is done server-side), deploy, play, and maybe even hack. :) Live demo: https://family-chess.quee.org (Please be gentle, it's a tiny 2GB VPS!)

Visit product View on Hacker NewsSep 26, 2025

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

81%81% 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: claude, email, single · Missing: mac, agents, macos

64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

34%34% 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

33%33% 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

18%18% 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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