mobile game similar to Set. Launched by two engineers

Hacker News

Hey HN! We're a couple of devs who've been working on this minimalist async multiplayer game. It works on iOS and Android on a variety of screen sizes. You can also play against friends in offline mode (and matches sync when you are online). One of the cool things is ~80+% of it is written in Javascript (Coffeescript, actually). No HTML5 / CSS / iFrame, though. It's still very responsive and quick. Made development a LOT nicer - particularly because using an interpreted language meant we could hot compile; we threw together a node server to send JS to the device simulator. Would love to hear what you guys think!

Visit product View on Hacker NewsOct 31, 2013

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1points

Did not reach leaderboard

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

65%65% 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 HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos

63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs

48%48% 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

37%37% 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

17%17% 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.

Incorrect prediction on native model

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