Fourplay.fun – A Cooperative Word Game

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I built this websocket game with the intent of learning the actor model with Actix, and getting better with Rust. The front end is made with Svelte, though I'm not really a frontend person, so if you poke around it's bound to be clunky. I've tested it with with Chrome, Firefox and Android, but not iOS or Safari. If you find errors with those, I'd appreciate a quick note. I have yet to clean up the frontend, but you can find the backend source https://github.com/kilroyjones/game-server , if you're curious. This could have been built with socket.io, but who doesn't want to spend more than double the time building a higher performance server to push around 100 bytes of JSON? The game is cooperative because I enjoy cooperative play more than competition, and wanted to build something that pushed people to work together. There's no in-game communication, so you really need to pay attention to what your teammates are doing. If you want to see what the game is like, but players aren't there, you can load up four windows and it'll work fine as well. Advice, comments and criticism are welcome.

Visit product View on Hacker NewsJun 19, 2022

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

84%84% 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: model · Missing: mac, agents, macos

63%63% predicted probability of success on Product Hunt, 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

44%44% 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: ios · Missing: mobile apps, personal, entrepreneurs

42%42% 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

31%31% 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

19%19% 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

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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