My

My attempt at a piano version of Guitar Hero

Hacker News

My attempt at a piano version of Guitar Hero

So I've been working on this for quite a while and it's time I made a serious push. Besides being fun I think it could have a serious impact on how people learn to play the piano. I just launchedd a kickstarter project for it here: http://www.kickstarter.com/projects/733181147/crescendo-playing-the-piano-was-never-so-fun Any feedback would be appreciated but especially helpful at this point would be comments on the kickstarter presentation; ambiguities, missing information, odd use of semicolons, etc.

Visit product View on Hacker NewsSep 19, 2013

Actual performance

1points

1comments

Did not reach leaderboard

Launch Intel predictions

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

71%71% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

14%14% 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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