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Live streaming taking up your time during this lockdown? Then imagine what it must feel like for the frontliners in health and other sectors battling to keep Covid-19 at bay so we can all stay safely at home, comfortably live streaming. Or, tune in to watch the recorded Live Stream of the D3 Charity Concert recorded on May 5th 2020, a giving event jointly organized by crypto charity The Giving Block, and a host of other crypto stakeholders, including Bitcoin gaming platform Bitcasino! D3 – Donate, Dance, Decentralize The virtual relief concert was put together to raise funds for those suffering from the

US-based crypto gaming company Bling has reported a significant increase in the number of people using its products since most of the world entered various stages of lockdown in response to the COVID-19 pandemic. According to statistics shared exclusively with Cointelegraph, Bling’s user statistics are up almost 50% over the month of March. The platform is reaching 70,000 users per day, and over 400,000 active users per month. Bling’s flagship app, Bitcoin Blast, has furthermore passed one million downloads from Google Play Store. The COVID-19 crisis as an opportunity Bling CEO Amy Wan told Cointelegraph that she chalks these

Snap: Snap reports in Q1 DAUs increased 20% YoY to 229M, revenue increased 44% YoY to $462M, time spent watching Discover content rose 35%+; stock up 18%+ after hours  —  Snap Inc. Announces First Quarter 2020 Financial Results Daily Active Users increased 20% year-over-year to 229 million … Read the Full Article here: >Techmeme

[This article was first published on Stories by Tim M. Schendzielorz on Medium, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Learn how to build a robust REST API with Docker and R Plumber. The schema of the public live data set on Google Big Query for which we will build an API This article was also published on https://www.r-bloggers.com/. This is part three of a multi article series on building and deploying an API robustly with R