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FreeBoardGames.org – FOSS platform for publishing boardgame.io games

Hacker News

FreeBoardGames.org – FOSS platform for publishing boardgame.io games

Hello HN, I have started FBG some years ago when I moved to the Bay Area and could not find a simple, cross-platform, no-registration way to play board games with my friends back in my home country. I also wanted to make it simple to create multiplayer board games online for developers in their free time. Shortly after, I found out about boardgame.io with similar goals and decided to join forces with them. It became the engine of our board games, and we focused on publishing/serving them. To be fair with everyone and inspired by Wikipedia, we made the project a non-profit with GPLv3 Affero license. Since then, the project has gotten many amazing contributors that developed really cool board games, added translations, helped with infra, etc (see https://www.freeboardgames.org/en/about ...). My focus has been on the infrastructure (scaling, adding text chat, etc). During the pandemic, we saw a large 30x increase in usage, and it also became more useful for me, as I started using it at work for (now virtual) fun team meeting events. Please check it out and give any feedback!

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
79%79% 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: ide, io · Missing: https docs, excited, just released
72%72% 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 · Strong signals: way · 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 · Strong signals: platform · Missing: plus, intuitive, reviews
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: using · Missing: mac, agents, macos
22%22% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: profit · Missing: arr, mrr, revenue
20%20% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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