Fonts In Use is a public archive of typography indexed by typeface, format, industry, and period. Supported by examples contributed by the public, we document and examine graphic design with the goal of improving typographic literacy and appreciation. Designers use our site for project research, type selection and pairing, and discovering new ways to choose and use fonts.
adriau
Titanic: First ever full-sized scans reveal wreck as never seen before
bbc.comTamiya Wild One Max
wildonemax.comTopanga Treehouse
airbnb.co.ukSteve Messam
stevemessam.co.ukFonts In Use
fontsinuse.comBrex's Prompt Engineering Guide
github.com[This is] based on lessons learned from researching and creating Large Language Model (LLM) prompts for production use cases. It covers the history around LLMs as well as strategies, guidelines, and safety recommendations for working with and building programmatic systems on top of large language models, like OpenAI’s GPT-4.
pure sh bible
github.comA collection of pure POSIX sh alternatives to external processes.
Fairbuds XL
theguardian.comThis ethical and repairable design proves Bluetooth headphones can be more sustainable
QAZ Cyberdeck
github.comA compact cyberdeck, featuring a QAZ 35% keyboard, Banana Pi M2 Zero SBC and 7.9 inch monitor.
Restoring the Old Way of Warming: Heating People, not Places
solar.lowtechmagazine.comThese days, we provide thermal comfort in winter by heating the entire volume of air in a room or building. In earlier times, our forebear’s concept of heating was more localized: heating people, not places.
They used radiant heat sources that warmed only certain parts of a room, creating micro-climates of comfort. These people countered the large temperature differences with insulating furniture, such as hooded chairs and folding screens, and they made use of additional, personal heating sources that warmed specific body parts.
Why I Stopped Worrying and Learned to Love Denormalized Tables
glean.ioI quickly learned that writing one giant query with a bunch of joins or even bunch of Python helper functions could get me stuck. My transformation functions weren’t flexible enough, or my joins were too complicated to answer the endless variety of questions thrown my way while keeping the numbers correct.
Instead, the easiest way to be fast, nimble, and answer all the unexpected questions was to prepare a giant table or dataframe and limit myself to it. As long as I understood the table’s contents, it was harder to make mistakes. I could group by and aggregate on the fly with confidence.
Dutch Safety Posters
50watts.comLemon Stroker
nikramage.comEnergy Saving Road Lighting in Norway
dailyscandinavian.comOnly as traffic approaches, Norway’s auto-dimming roads get brighter. New LED lights dim to 20 percent when no cars are in area. When a car drives by, the lights turn to 100 per cent. Thus it reduces the country’s carbon footprint.