Skip to main content

Show HN: Cube.js – Build Serverless Analytics https://ift.tt/2ObY0lq

Show HN: Cube.js – Build Serverless Analytics Hi everyone! I want to share with you a serverless analytics framework - Cube.js: https://ift.tt/2ERWiX0 . 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! :) October 30, 2018 at 04:48AM
Labels:

Comments

Post a Comment

Popular posts from this blog

Launch HN: Simmer (YC W19) – Reviews for Delivery Dishes https://ift.tt/2Y4sD67

Launch HN: Simmer (YC W19) – Reviews for Delivery Dishes Hi HackerNews community! We’re Vaibhav and Richard, founders of Simmer ( https://usesimmer.com ). Simmer aggregates dishes from DoorDash, Caviar, GrubHub, and basically every other delivery platform out there, and tells users the best dishes across the board. We do this by providing dish-level reviews. Users find highly reviewed dishes on Simmer, choose the delivery platform of their liking, and we deep link them into their chosen delivery app. We essentially lead gen to delivery. We started working on Simmer because we loved trying new restaurants, but never knew what to order. Especially, when there’s a 5 page menu. We always asked ourselves, “Why aren’t there ratings for individual dishes?” We launched our app with this restaurant-centric use case (reviews for every dish at every restaurant), but when we rolled out delivery integrations, we realized that users resonated most with the delivery angle. They found it particularly ...
Post a Comment
Read more