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I ported the tabletop card game Anomia to mobile

Hacker News

I ported the tabletop card game Anomia to mobile

Anomia is a trivia card game where players take turns drawing cards: when two symbols match those two players race to name an example of a thing in the other person's category. It's a very chaotic party game with lots of shouting. We built this because me and my friends wanted to play the card game but we didn't always have the deck. But hey, everyone always has their phone and a phone is roughly card-shaped. The backend is all Rust + Axum and the app is React Native. We use websockets to sync the phones in real-time. It's a party game so you'll need ideally 3-8 people to play. Would love feedback so please give it a try and let me know how it goes!

Visit product View on Hacker NewsMay 23, 2024

Actual performance

3points

2comments

Did not reach leaderboard

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

75%75% 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 · Missing: mac, agents, macos

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

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

TrustMRRLess likely to generate early MRR · Strong signals: way · 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: ide · Missing: https docs, excited, just released

28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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.

Correct prediction on native model

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