My WordPress mobile menu plugin, really nice one.

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Hi guys, I want to show you my WordPress plugin and possibly get some feedback. URL: http://griffinthemes.com I didn't like mobile menus in modern responsive web designs. They are either an unusable <select> element or a cropped menu with a ugly jerking animation. Once I saw an article on codrops with a off-canvas navigation menu which I really liked. I recreated that idea from scratch to get a good performance and made it a WordPress plugin to see if there's an interest in it. I tried to sell it on CodeCanyon but that didn't work very well. They decided that this is a 'blatant copy' of a codrops menu ( despite my request to review the code ) and shut down my account with a dozen of purchases. :( I wan't to know what do you think of it? Is it useful? Should I make it a standalone javascript library?

Visit product View on Hacker NewsMay 15, 2014

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1points

Did not reach leaderboard

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

86%86% 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.

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

46%46% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

44%44% 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

42%42% 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

33%33% predicted probability of success on AppSumo, 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

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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