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Jupyter/IPython service launched on Azure (free)
Hacker NewsJupyter/IPython service launched on Azure (free)
Hi folks from PyData Seattle conference! Our team just launched a hosted Jupyter notebook service. Would love to get your feedback! Also - it runs on Linux/docker - and we're new to Linux, so if you find any security holes, please drop us a line at nbhelp@microsoft.com. blog: http://aka.ms/jupyter If you just want to try it: http://studio.azureml.net ; click on "Get Started"; then +New Notebook and party on. If you want your notebooks saved, login. Thanks!
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2points
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Product HuntOn track for Day 1 leaderboard · Strong signals: dock, new · Missing: mac, agents, macos73%73% 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 · Strong signals: started · Missing: supports, reddit linkedin, podcasting65%65% 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 released53%53% 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, personal34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive33%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, revenue25%25% 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, crypto1%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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