Hyper Naivasha
Hyper Naivasha (#D858B3) is a true magenta 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 (317°, 62%, 60%) 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 green. For something softer, pull in its analogous neighbors on either side of the wheel.
Etymology
Greek hyper, over / beyond — sharing root with Latin super. As a color modifier, hyper implies a saturated-and-over-the-top-active quality where the hue exceeds normal visual amplitude with maximum-stimulation register. Sits at the bright-and-over-active end of the grid, parallel to manic and frenetic in usage.
Kenyan Rift Valley freshwater lake — and the seasonal nesting site of Phoenicopterus ruber lesser-flamingo flocks whose massed pink-magenta plumage colors the lake-edge mudflats during the summer breeding season. Naivasha color refers to a Lake Naivasha mudflat with massed Phoenicopterus ruber in late-afternoon light: a saturated, slightly cool deep magenta with the optical complexity of carotenoid-pigmented feather mass against muddy water.
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.