Cube.js – Build Serverless Analytics

Hacker News

Hi everyone! I want to share with you a serverless analytics framework - Cube.js: https://github.com/statsbotco/cubejs-client . I’m one of the authors and would love to hear your thoughts and feedback. Cube.js is an analytics layer for applications. It supplies building blocks to add analytics features into your application. It comes with caching, pre-aggregations and all other stuff you need to handle large data sets. We’re launching public beta today, with open-sourced React client and cloud hosted server. We’re planning to open source server as well, so it could be self-hosted as a container or on AWS Lambda/Firebase Cloud Functions. It is visualization agnostic, meaning you can use any visualization library you want. Looking forward to hearing your feedback! :)

Visit product View on Hacker NewsOct 30, 2018

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

79%79% 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: open source, io · Missing: https docs, excited, just released

68%68% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

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

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

31%31% 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

21%21% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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