Show HN: Papercups Support for React Native/Expo https://ift.tt/3iY2Y4R

Show HN: Papercups Support for React Native/Expo https://ift.tt/3aIvKDF August 21, 2020 at 01:45AM

Show HN: A Twitter bot I made that posts real-time deforestation data https://ift.tt/3l4Qt9y

Show HN: A Twitter bot I made that posts real-time deforestation data https://twitter.com/ForestsWar August 21, 2020 at 12:15AM

Show HN: CloudBrowser API https://ift.tt/3l3BU6o

Show HN: CloudBrowser API https://ift.tt/2YhFYpE August 20, 2020 at 11:58PM

Clash Of Clans

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Show HN: Say Less – An AI-powered tool to write shorter, more effective email https://ift.tt/3iStnB8

Show HN: Say Less – An AI-powered tool to write shorter, more effective email https://sayless.email/ August 20, 2020 at 11:09PM

Show HN: Using GraphQL to publish REST-like endpoints (WP plugin) https://ift.tt/32chOxY

Show HN: Using GraphQL to publish REST-like endpoints (WP plugin) https://ift.tt/2E8MNTJ August 20, 2020 at 08:22PM

Launch HN: Hubble (YC S20) – Monitor data quality inside data warehouses https://ift.tt/3gno0Zj

Launch HN: Hubble (YC S20) – Monitor data quality inside data warehouses Hey everyone! We’re Oliver and Hamzah from Hubble ( https://gethubble.io/hn ). Hubble runs tests on your data warehouse so you can identify issues with data quality. You can test for things like missing values, uniqueness of data or how frequently data is added/updated. We worked together for the last 4 years at a startup where we built and managed data products for insurers and banks. A common pattern we saw was teams taking data from their internal tools (CRM, HR system, etc.), application databases, and 3rd party data and storing it in a warehouse for analysis. However, when analysts/data scientists used the data for reports they would spot something suspicious and the engineering team would have to manually go through the data pipelines to find the source of the problem. More often than not it was simple things like a spike in missing values because an ETL job failed or stale data because a 3rd party data source hadn’t updated correctly. We realised that reliability/ trustworthiness of the raw data was essential before you could start abstracting away more interesting tasks like analysis, insight or predictions. We wanted to do this without having to write and maintain lots of individual tests in our code. So we built Hubble, which connects to a data warehouse and creates tests based on the type of data being stored (i.e. freshness of timestamps, the cardinality of strings, max value of numbers, missing values, etc.). We’ve also added the ability to write any custom tests using a built-in SQL editor. All the tests run on a schedule and you’ll get an email or slack alert when they fail. We’re also building webhooks and an Airflow operator so you can run tests immediately after running an ETL job or trigger a process to fix a failing test. Instead of asking users to send their data to us, the tests are run in the data warehouse and we track the test results over time. Today we support BigQuery, Snowflake and Rockset (which lets us work with MongoDB and DynamoDB) and are adding more on request. We’re planning on charging $200 a month for a few seats, and $30-50 for extra users after that. We’re still at an early access stage but want the HN community’s feedback so we’ve opened up access to the app for a few days, you can try it out here https://gethubble.io/hn . We’ve added a demo data warehouse you can start with that has data on COVID-19 cases in Italy and bike-share trips in San Francisco. Thanks and looking forward to hearing your ideas, experiences and feedback! August 20, 2020 at 10:38PM

Show HN: Freshlytics – No-cookie privacy-friendly analytics https://ift.tt/2Edc7YB

Show HN: Freshlytics – No-cookie privacy-friendly analytics https://ift.tt/2PCuKYb August 20, 2020 at 07:55PM

Show HN: Wishlist – Collect and organize user feedback https://ift.tt/3aOzh3C

Show HN: Wishlist – Collect and organize user feedback As founders, we know how important it is to talk to our customers in order to avoid wasting time building features that no one wants. It can be difficult to know what to work on next, and how many resources to devote to a particular product or feature. That's why I've decided to build https://getwishlist.io, a (currently free in beta) user feedback tool that will help founders like ourselves not only collect user feedback, but also organize it, and build product roadmaps. As such, I'd love to speak with my fellow founders about how you collect feedback from your team and users, how you do your product roadmaps, and some of the challenges you face while doing so. How do you collect and organize feedback from your users? What are your processes? What don’t you like about them? Care to share? August 20, 2020 at 05:36PM

Show HN: A list of 470 static analysis tools https://ift.tt/3l3Kq56

Show HN: A list of 470 static analysis tools https://ift.tt/2zYuAq1 August 20, 2020 at 05:16PM

Hay Day

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Show HN: Free to use static generated landing page template for your mobile app https://ift.tt/2YeS3vF

Show HN: Free to use static generated landing page template for your mobile app https://ift.tt/2YfLysw August 20, 2020 at 02:49PM