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Floppy Dodo

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Floppy Dodo

I'm not a fan of In App Purchases or Ads (I despise them) and browsing the App Store I found that all of the Flappy Bird clones available on the App Store were either A) low quality cash-ins or B) Riddled with Ads and IAP. So what is an enterprising iOS Developer to do in that case? Make a better hammer! The game was written in 12 Hours over 3 days in my spare time (Art took longer) so the total dev time around 16 hours over 5 days. Available now for 99¢, No IAP, No Ads. Updates and expansions free for life. Multiple areas to explore and some cool weather particle effects (rain and snow). Proceeds go to being able to feed my family, Paying my taxes the crazy rent prices in the Bay Area. :-| PS: my high score is 89 see if you can beat it! I stand behind my work, if you buy it and don't like it I'll refund the full 99¢ out of my own pocket. Drop me a line @ kenrikmarch.com

Visit productView on Hacker NewsFeb 22, 2014
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Actual performance

1points
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
85%85% 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
54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs
51%51% 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
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
43%43% 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
25%25% 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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