PathScrollbarMenu - A Javascript, Path inspired scrollbar menu

Hacker News

Hey HN! This is PathScrollbarMenu, a javascript implementation of the neat little scrollbar indicator that you can see on Path's mobile apps. It allows the developer to center any content on the scrollbars of a site. We implemented it at Jetsetter so we could allow users to jump between sections, but still give them the largest content area possible. GitHub: http://jetsetter.github.com/PathScrollbarMenu/ There is an example page in the project but you can also check it out in action on our new homepage: www.jetsetter.com/?via=hackernewsos

Visit product View on Hacker NewsMay 31, 2012

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, user, new · Missing: mac, agents, macos

72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

57%57% 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 · Strong signals: mobile apps, apps, users · Missing: ios, personal, entrepreneurs

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

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

44%44% 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

18%18% 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.

Incorrect prediction on native model

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