2D Duel Shoot Game

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2D Duel Shoot Game

Last in Town - Just released - funny 2D duel shoot game in a western city. - Opened for feedbacks There is a time to shoot and a time to reload. All duels have a different strategy, be smart. But you will be vulnerable when reloading or shooting... be careful. Only one will stay alive. Manage your stress and shoot at the perfect time. Only one will survive in each level. Available on stores Android: https://play.google.com/store/apps/details?id=io.mcflydev.shootnkill iOS : https://apps.apple.com/us/app/last-in-town/id1670161425 Hope you get fun!

Visit product View on Hacker NewsFeb 18, 2023

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Actual performance

6points

Did not reach leaderboard

Launch Intel predictions

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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.

TrustMRRFits verified-revenue profile · Strong signals: ios, apps, google · Missing: mobile apps, personal, entrepreneurs

66%66% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

30%30% predicted probability of success on Product Hunt, 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 · Strong signals: smart · 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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