Caffeinated Nokchaek
Caffeinated Nokchaek (#8AD973) is a true green with a cool character. It leans cool, sitting on the blue, green, and violet side of the wheel. Quiet and dependable, a fit for product UI and data visualization. Its HSL profile (106°, 57%, 65%) places it in the balanced band at a mid lightness. It works across type, buttons, and borders, saturated enough to feel deliberate but balanced enough to not fight the rest of the palette. For a confident two-color system, pair it with its complementary violet. For something softer, pull in its analogous neighbors on either side of the wheel.
Etymology
Modern French caféine — past-participle of caffeinate. As a color modifier, caffeinated implies a saturated-and-jumpy-and-active quality, the bright color of Red-Bull-and-Monster energy-drink-can label-design saturated-and-energizing palette. Sits at the bright-and-active end of the grid, parallel to jazzed and wired in usage.
The Korean word for green — used in the nokcha (green tea) tradition of Korean Buddhist monastery culture and the deep green of Korean ondol heated-floor textile dyes. The color refers to fresh-brewed Korean nokcha: a saturated, slightly cool deep green with the optical clarity of unfermented tea liquor.
Closest matches
The nearest named color in three reference sources, ranked by perceptual distance (ΔE76 in CIELAB). ΔE < 1 is imperceptible to most viewers; ΔE > 10 is clearly different. When two sources point to the same hex they’re merged into one tile; click any to open that color’s page.
Variations
Click any swatch to exploreHarmonies
Accessibility
How this color appears to viewers with the four major color-vision-deficiency types. Computed via the Machado (2009) physiologically-based model. If a tile matches the original, the color reads the same to that viewer.
The color used as foreground text against pure white and pure black, with the contrast ratio and WCAG 2.1 grade. Aim for AA (4.5:1) for body text and AA Large (3:1) for 18 pt+ headlines; AAA (7:1) is the gold standard for long-form reading surfaces.