Zoltar Labs Brand Identity

A complete profile of Zoltar Labs's visual system — colors, typography, components, and personality — extracted from https://www.zoltarlabs.com/. Built for designers, agents, and AI tools.

• Page: https://characterquilt.com/branding/zoltar-labs
• Machine-readable JSON: https://characterquilt.com/branding/zoltar-labs.json
• Per-page llms.txt: https://characterquilt.com/branding/zoltar-labs/llms.txt

Quick Facts

Color Palette

• primary: #000000
• accent: #000000
• background: #FFFFFF
• textPrimary: #111111
• link: #000000

Typography

• primary: Times New Roman — https://fonts.google.com/specimen/Times+New+Roman
• heading: Times New Roman — https://fonts.google.com/specimen/Times+New+Roman

Visual Assets

• Favicon: data:,

Brand Personality

Tone: professional · Energy: medium · Audience: unknown

Zoltar Labs Brand in the Wild

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

• Zoltar Labs (YC S22) is creating the de facto staging and testing environment for Web3 companies. As Web3 use cases grow in complexity, a new wave of testing needs is pushing the
  • Image:
  • Source: https://www.linkedin.com/posts/y-combinator_zoltar-labs-yc-s22-is-creating-the-de-facto-activity-6968946717413040128-2oAq
• Zoltar Labs | TechCrunch
  • Image:
  • Source: https://techcrunch.com/startup-battlefield/company/zoltar-labs/
• Zoltar Labs: Funding, Team & Investors | Startup Intros
  • Image:
  • Source: https://startupintros.com/orgs/zoltar-labs
• James Chen - Co-Founder @ Hong Kong Comic Con | YC Alumni | Ex-Citi ECM | LinkedIn
  • Image:
  • Source: https://hk.linkedin.com/in/james-chen-67013041
• Top 10 VCs investing in blockchain companies at the pre-seed stage | by Diana | Tapx | Medium
  • Image:
  • Source: https://medium.com/tapx/top-10-vcs-investing-in-blockchain-companies-at-the-pre-seed-stage-de57d8ef1bd9
• Zoltar Labs: Funding, Team & Investors | Startup Intros
  • Image:
  • Source: https://startupintros.com/orgs/zoltar-labs

Working with these fonts

Not found on Google Fonts?

CharacterQuilt.com suggests this flow that can help:

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.

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": "Times New Roman",
      "count": 3
    }
  ],
  "colors": {
    "primary": "#000000",
    "accent": "#000000",
    "background": "#FFFFFF",
    "textPrimary": "#111111",
    "link": "#000000"
  },
  "typography": {
    "fontFamilies": {
      "primary": "Times New Roman",
      "heading": "Times New Roman"
    },
    "fontStacks": {
      "body": [
        "Times New Roman"
      ],
      "heading": [
        "Times New Roman"
      ],
      "paragraph": [
        "Times New Roman"
      ]
    },
    "fontSizes": {
      "h1": "16px",
      "h2": "16px",
      "body": "16px"
    }
  },
  "spacing": {
    "baseUnit": 8,
    "borderRadius": "8px"
  },
  "components": {},
  "images": {
    "logo": null,
    "favicon": "data:,",
    "ogImage": null
  },
  "personality": {
    "tone": "professional",
    "energy": "medium",
    "targetAudience": "unknown"
  },
  "designSystem": {
    "framework": "unknown",
    "componentLibrary": ""
  },
  "confidence": {
    "buttons": 0,
    "colors": 0,
    "overall": 0
  },
  "__llm_metadata": {
    "logoSelection": {
      "llmCalled": false,
      "llmSucceeded": false,
      "finalSource": "none",
      "rawLogoSelection": {
        "selectedLogoIndex": -1,
        "selectedLogoReasoning": "LLM failed",
        "confidence": 0
      }
    },
    "buttonClassification": {
      "llmCalled": false,
      "llmSucceeded": false,
      "error": "LLM call failed or returned fallback values"
    }
  }
}