My company's new turn based strategy game for Android

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Hey, it's been a long time in the making, but we're finally ready with our public BETA version of our Android application. We're anxiously (and nervously) awaiting your feedback, so please lay it on us. Our biggest fear is hearing nothing. The game is called Super Tic Tac Toe. It's a new take on the old, boring tic tac toe that more often than not ended in a cat's game. The game board is a large tic tac toe board with each square comprised of a smaller tic tac toe board. You and an opponent place your marks on the smaller boards, each move dictating where your opponent may move next (and vice versa), to achieve victory on the larger board. You can Connect With Facebook, but if you'd rather not, you can create a normal account in our system. You can add and play any of the developers / founders (usernames: nuri, Gootz, QippArgent) or invite your friends and play against them! Please, check out the application and leave us your feedback! You can leave a comment here and myself or QippArgent will try to respond as soon as possible, and feel free to send either one of us a private message as well. https://play.google.com/store/apps/details?id=com.cannygroup.superttt http://www.youtube.com/watch?v=7UGTWHg_wUM

Visit product View on Hacker NewsJun 20, 2012

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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.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

50%50% 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: apps, google · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: google, apps, user · Missing: mac, agents, macos

42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

36%36% 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

22%22% 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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