Weekly Web Harvest for 2019-11-03

  • snarfed/granary: ? The social web translator.
    The social web translator. Fetches and converts data between social networks, HTML and JSON with microformats2, ActivityStreams, Atom, JSON Feed, and more.
  • Paul Ford on Twitter: “Oh my god enough about generations it’s just astrology for opinion columnists.” / Twitter
  • How to Build a Low-tech Website? | LOW?TECH MAGAZINE
    Page size has decreased more than sixfold, number of requests has decreased fivefold, and download speed has increased tenfold. Note that we did not design the website for speed, but for low energy use.
    In contrast, this website runs on an off-the-grid solar power system with its own energy storage, and will go off-line during longer periods of cloudy weather. Less than 100% reliability is essential for the sustainability of an off-the-grid solar system, because above a certain threshold the fossil fuel energy used for producing and replacing the batteries is higher than the fossil fuel energy saved by the solar panels.

    When is the best time to visit?
    The accessibility of this website depends on the weather in Barcelona, Spain, where the solar-powered web server is located. To help visitors “plan” their visits to Low-tech Magazine, we provide them with several clues.

  • Low-tech Lab
  • List: My Maximalist Lifehacks – McSweeney’s Internet Tendency
    I always say “yes” — even when no one is asking a question, or speaking, or physically near me.

    When someone suggests anything, I shout, “Think bigger! — “Let’s eat Greek food tonight.” — “Think bigger!” — “Mexican?” — “Think bigger!” — “Russian food?” — “Bigger!” — “Let’s feed asteroids to 1 billion poor people?” — “YES.”

  • Fast and Free Music Separation with Deezer’s Machine Learning Library – Waxy.org
    Cleanly isolating vocals from drums, bass, piano, and other musical accompaniment is the dream of every mashup artist, karaoke fan, and producer. Commercial solutions exist, but can be expensive and unreliable. Techniques like phase cancellation have very mixed results.

    The engineering team behind streaming music service Deezer just open-sourced Spleeter, their audio separation library built on Python and TensorFlow that uses machine learning to quickly and freely separate music into stems. (Read more in today’s announcement.)