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My 4 Week Project

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My 4 Week Project

Well HN, I've finally produced something I think is worthy of sharing, but I didn't do it "in a weekend". Yeah, it's an iOS puzzle game. And yeah, it's a game I built because I wanted to play it rather than based on market research, so all this sort of makes it the antithesis of a popular HN post. But whatever. Still hoping for some of that patented (har har) expert HN feedback. Critique any part of it except the music. Also, PM me for upgrade codes, or I can post some here if there's any interest. Download (it's free): http://itunes.apple.com/WebObjects/MZStore.woa/wa/viewSoftware?id=514114597&mt=8 Website: http://samesamegames.com/quadros

Visit productView on Hacker NewsApr 12, 2012
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Actual performance

14points
5comments
Made the leaderboard

Launch Intel predictions

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AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
60%60% predicted probability of success on AppSumo, 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
52%52% 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.
Indie HackersIH features products with proven revenue · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
42%42% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: apple, code · Missing: mac, agents, macos
38%38% 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
15%15% 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.

Correct prediction on native model

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