Catch up on our latest tech observations and insights.

  • Streams Header Image

    I am so excited to be able to release the new version of readable-stream, v3! For all of you that might not know, readable-stream is the most downloaded module on NPM, and part of practically any dependency chain of any JavaScript application. readable-stream is a userland port of the Node.js require(‘stream’) module, so that module authors could have a stable…

  • Pino Header Image

    If you’ve not heard of Pino before, it’s a low-overhead, newline-delimited-JSON logger with close compatibility to Bunyan. The idea behind Pino is to provide the lowest overhead JSON logging possible in order to keep Node’s event-loop as free as possible to handle the most critical work, such as request-handling. For information on Pino, in general, see Pino –…

  • Building a Q&A machine learning model, for answering White House Press Briefing questions about Brexit, using Latent Dirichlet Allocation. Image: unsplash-logopalesa

    Andreas Madsen
    | 26th July 2018
  • Back in January, we announced the Node Clinic project and the first tool in Clinic, Doctor. After many intensive months of work by the team, we’re more than a little excited to announce Clinic Bubbleprof! Bubbleprof has a unique new approach to profiling your Node code so that you can visualise exactly where and how that code is busy….

    Conor O'Neill
  • Series of solcial media and web icons to portray using web notifications for PWAs

    How Web Push Notifications can help increse the user engagement in PWAs

  • Attendees who made it along to our Node.js Dublin meetup featuring author and fintech superstar David Gonzalez earlier this year were given an excellent introduction to serverless and Node.js

  • Join us at FullStack London 2018

  • How the introduction of the CSS in JS can improve the first render time of a Progressive Web Application

    Paolo Insogna
  • How the Payment Request API can help provide in-app purchases in PWAs

    Diogo Cunha
  • Developing an automated intrusion detection system for Udaru using statistical modelling.

    Andreas Madsen
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