cdnjs - RSS & Atom feeds for new JavaScript libraries

Hacker News

Hey guys, Now that we host over 300 libraries and regularly receive updates from the community we have added an rss/atom feed for cdnjs.com that keeps you up to date with the latest library additions and updates. The feed is located at http://cdnjs.com/rss.xml and http://cdnjs.com/atom.xml Try the feed here: http://feedreader.com/myfeeds/add.html#url=http%3A%2F%2Fcdnjs.com%2Frss.xml If you have any feedback or suggestions we'd love to hear about it over at https://github.com/cdnjs/cdnjs/issues. Thanks to everyone who contributes and CloudFlare for hosting the service.

Visit product View on Hacker NewsMar 26, 2013

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

70%70% 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.

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

64%64% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

nativeThis product was originally launched on this platform.

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

55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

33%33% 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

17%17% 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.

Correct prediction on native model

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