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AsyncPoker – Turn-Based Poker with Friends

Hacker News

AsyncPoker – Turn-Based Poker with Friends

I’m 36 now and longing for the late nights playing poker with the boys. We’re so busy with families/careers that getting a game is never going to happen. So I had the idea of Turn-Based Poker, like Words With Friends but for Hold’em. Get a push notification when it’s your turn to act, so we can play on the train, between meetings, on the toilet, etc. It's built entirely on Expo + React Native + Firebase with a NextJS backend. I wrote a custom animation engine on top of React Native to render the card animations. Hope you like it!

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Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

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Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
46%46% 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
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
37%37% predicted probability of success on Indie Hackers, 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
7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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