Google is shutting down all these, so grab them ASAP

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I put some old JavaScript libraries up on Google Code for posterity and research reasons. Some of it is old code, but a nice snapshot of the web in the DHTML era when DOM based Javascript widgets and libraries were all the rage. Take a look before Google Code is sunsetted! http://code.google.com/p/retrojs-oldskool-js-dhtml/ http://code.google.com/p/webfxwidgets/ http://code.google.com/p/asmscroller/ http://code.google.com/p/js-bezier-functions/ http://code.google.com/p/1kdomlib/ http://code.google.com/p/3dhtml/ http://code.google.com/p/innerdiv/ http://code.google.com/p/assembler-mirror/ http://code.google.com/p/domapi/ http://code.google.com/p/beehive2/

Visit product View on Hacker NewsMar 13, 2015

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2points

3comments

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, code · 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

55%55% 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: google, widgets · Missing: mobile apps, ios, personal

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

35%35% 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

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

13%13% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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