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I've open sourced DD Poker

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I've open sourced DD Poker

I'm the original author of DD Poker, a Java-based computer game that ran on Mac, Linux and Windows and originally sold in stores in physical boxes. I shut down the backend servers in 2017 but the game is still functional and people can still play each other online even though the central lobby and find-a-game functionality no longer work. I've been asked over the years to release the source code, especially during the pandemic, and again this year. I finally got motivated to clean up the code and put it out there. The code is 20 years old and uses some ancient Spring, log4j, Wicket and other dependencies, but it still works on Java 1.8.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
83%83% 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: mac, computer, physical · Missing: agents, macos, agent
72%72% 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, io · Missing: https docs, excited, just released
60%60% 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
41%41% 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
35%35% 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 · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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