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Backwards Compatible jQuery Web Tour

Hacker News

Backwards Compatible jQuery Web Tour

There are quite a few jQuery web tour applications out there, but I found that when working in a corporate environment many of them didn't work ... or just didn't work right in IE7/8. I put together this web tour jQuery application and have successfully used it and had no issues with older browsers. It doesn't look as 'pretty' since it relies on CSS3 to pretty it up a bit. But it's pretty light weight. It was my first foray into Javascript prototypes, and while I'm sure there are bugs, although I haven't encountered any game breaking ones myself. The GitHub is up at https://github.com/drazion/Crimson-Tour - if you notice any irregularities or issues, any and all tips or suggestions to improve it would be appreciated.

Visit product View on Hacker NewsFeb 7, 2013

Actual performance

2points

1comments

Did not reach leaderboard

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

75%75% 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.

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

64%64% 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 · Strong signals: compatible · Missing: supports, reddit linkedin, podcasting

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

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

55%55% 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

42%42% 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

13%13% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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