llms.txt

Hypercubic Brand Identity

A complete profile of Hypercubic's visual system — colors, typography, components, and personality.

Quick Facts

Field Value
Primary #1E3A5F
Accent #008236
Body Font GigaSans
Heading Font EmilioLight

Color Palette

Typography

Visual Assets

UI Components

Brand Personality

Tone: professional · Energy: medium · Audience: enterprise clients seeking AI solutions for mainframe modernization

Hypercubic Brand in the Wild

Real-world brand assets — ads, campaigns, marketing materials.

Working with these fonts

Not found on Google Fonts? Agent Instructions that you can follow if you have permission to use the fonts:

  1. Open the company's homepage in a browser with DevTools open.
  2. In the Network tab, filter by "Font" (or by extension: woff2, woff, ttf, otf).
  3. Hard-reload the page and click around (pricing, blog, careers) — some weights only load on specific routes.
  4. For each captured font URL: right-click → Save As to download the file locally.
  5. View the page's CSS (DevTools → Sources, or curl the stylesheet URLs) and copy out the matching @font-face declarations. Rewrite each src: url(...) to point to your local file path.

Programmatic alternative: load the URL with Playwright or Puppeteer, listen for response events whose Content-Type starts with font/, and write the body to disk. The CSS extraction step is the same.

Only do this if you have permission to use the brand assets — most proprietary fonts are licensed and may not be redistributable.

Machine-Readable Profile

{
 "colorScheme": "light",
 "fonts": [
 {
 "family": "GigaSans",
 "role": "body"
 },
 {
 "family": "EmilioLight",
 "role": "heading"
 },
 {
 "family": "JetBrains Mono",
 "role": "monospace"
 }
 ],
 "colors": {
 "primary": "#1E3A5F",
 "accent": "#008236",
 "background": "#FAFAF9",
 "textPrimary": "#0F0E0D",
 "link": "#008236"
 },
 "typography": {
 "fontFamilies": {
 "primary": "GigaSans",
 "heading": "EmilioLight"
 },
 "fontStacks": {
 "heading": [
 "EmilioLight",
 "Georgia",
 "Times New Roman",
 "serif"
 ],
 "body": [
 "GigaSans",
 "system-ui",
 "-apple-system",
 "sans-serif"
 ],
 "paragraph": [
 "GigaSans",
 "system-ui",
 "-apple-system",
 "sans-serif"
 ]
 },
 "fontSizes": {
 "h1": "79.2px",
 "h2": "48px",
 "body": "18px"
 }
 },
 "spacing": {
 "baseUnit": 4,
 "borderRadius": "0px"
 },
 "components": {
 "buttonPrimary": {
 "background": "#0F0E0D",
 "textColor": "#FAFAF9",
 "borderRadius": "4px",
 "borderRadiusCorners": {
 "topLeft": "4px",
 "topRight": "4px",
 "bottomRight": "4px",
 "bottomLeft": "4px"
 },
 "shadow": "none"
 },
 "buttonSecondary": {
 "background": "#FAFAF9",
 "textColor": "#524F49",
 "borderRadius": "0px",
 "borderRadiusCorners": {
 "topLeft": "0px",
 "topRight": "0px",
 "bottomRight": "0px",
 "bottomLeft": "0px"
 },
 "shadow": "none"
 }
 },
 "images": {
 "logo": "https://www.hypercubic.ai/logos/hypercubic_logo_white.svg",
 "favicon": "https://www.hypercubic.ai/favicon.ico",
 "ogImage": "https://hypercubic.ai/assets/og-image.png",
 "logoHref": "/en",
 "logoAlt": "Hypercubic Logo"
 },
 "personality": {
 "tone": "professional",
 "energy": "medium",
 "targetAudience": "enterprise clients seeking AI solutions for mainframe modernization"
 },
 "designSystem": {
 "framework": "tailwind",
 "componentLibrary": ""
 },
 "confidence": {
 "buttons": 0.9,
 "colors": 0.9,
 "overall": 0.9
 }
}