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Dummy Defense - Instruments of Death

Hacker News

Dummy Defense - Instruments of Death

This is a level pack I just launched today for my iPhone game, Dummy Defense. I'm promoting Dummy Defense today with FreeAppADay and it is currently at #31 in Games -> Puzzle. Here's the trailer: http://www.youtube.com/watch?v=R2ZsOB6EkuM Here's the app store page: http://itunes.apple.com/us/app/dummy-defense/id460832678?mt=8 I'd be glad to hear your feedback about the game as well as answer any questions regarding the development or marketing efforts. You can get the level pack for free by following this link on your iPhone after you install the game. This link will open the game and unlock the level pack for free: http://goo.gl/Hd54o

Visit product View on Hacker NewsSep 2, 2012

Actual performance

1points

1comments

Did not reach leaderboard

Launch Intel predictions

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

71%71% 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 NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

53%53% 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 · Missing: mobile apps, ios, personal

37%37% 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

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

27%27% 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

16%16% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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