{
  "name": "PoplarML",
  "slug": "poplarml",
  "domain": "http://poplarml.com",
  "sources": [
    "yc"
  ],
  "branding": {
    "colorScheme": "light",
    "fonts": [
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        "family": "Times New Roman",
        "count": 3
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      {
        "family": "monospace",
        "count": 1
      }
    ],
    "colors": {
      "primary": "#000000",
      "accent": "#000000",
      "background": "#FFFFFF",
      "textPrimary": "#000000",
      "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": 10,
      "borderRadius": "0px"
    },
    "components": {},
    "images": {
      "logo": null,
      "favicon": null,
      "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"
      }
    }
  },
  "images": [
    {
      "file": "https://e4p9rs3sldnmtboz.public.blob.vercel-storage.com/poplarml/789e08f1ad.webp",
      "alt": "Launch YC: 🌳 PoplarML – Deploy machine learning models with one command |  Y Combinator | Danna Liu | 14 comments",
      "source_url": "https://www.linkedin.com/posts/dnaliu_launch-yc-poplarml-deploy-machine-learning-activity-7033559856141787136-cP2r",
      "image_url": "https://media.licdn.com/dms/image/v2/C5622AQGm7MbseGvI3Q/feedshare-shrink_800/feedshare-shrink_800/0/1676927092550?e=2147483647&v=beta&t=1oefoFIhYMACLmNJ6kTPp31ZzMUEqf5Vt5xa6g7nHOs",
      "width": 800,
      "height": 530,
      "bytes": 53358,
      "query": "\"PoplarML\" ad",
      "query_suffix": "\"PoplarML\" ad"
    },
    {
      "file": "https://e4p9rs3sldnmtboz.public.blob.vercel-storage.com/poplarml/25322e73b5.webp",
      "alt": "poplarml and liarliar - Which AI Detection Software Platform Is Better in  February 2026?",
      "source_url": "https://www.revoyant.com/compare/poplarml-vs-liarliar",
      "image_url": "https://www.revoyant.com/assets/imgs/common/logo.png",
      "width": 1505,
      "height": 340,
      "bytes": 23760,
      "query": "\"PoplarML\" report",
      "query_suffix": "\"PoplarML\" report"
    },
    {
      "file": "https://e4p9rs3sldnmtboz.public.blob.vercel-storage.com/poplarml/64a3467cd8.webp",
      "alt": "PoplarML AI Tool Information, Review & Alternative | Toolcent",
      "source_url": "https://ai.toolcent.com/tool/poplarml.html",
      "image_url": "https://ai.toolcent.com/logo/continual.webp",
      "width": 1024,
      "height": 576,
      "bytes": 39478,
      "query": "\"PoplarML\" ad",
      "query_suffix": "\"PoplarML\" ad"
    },
    {
      "file": "https://e4p9rs3sldnmtboz.public.blob.vercel-storage.com/poplarml/2a1c0461ca.webp",
      "alt": "I saw a demo of PoplarML (YC W23). It's pretty cool and helps drive down  model deployment cost. Congrats @danna Evan Chu for the launch! | Shaohua  Zhang",
      "source_url": "https://www.linkedin.com/posts/shaohuazhang_i-saw-a-demo-of-poplarml-yc-w23-its-pretty-activity-7033907708399427585-EAPl?trk=public_profile_like_view",
      "image_url": "https://media.licdn.com/dms/image/v2/C5622AQESz0ZqglJwNw/feedshare-shrink_800/feedshare-shrink_800/0/1676963697797?e=2147483647&v=beta&t=-wkjTG91eCwYDrmATS0FaqIKuklPtx-cuRqkbw7e0vA",
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      "height": 552,
      "bytes": 43406,
      "query": "\"PoplarML\" report",
      "query_suffix": "\"PoplarML\" report"
    },
    {
      "file": "https://e4p9rs3sldnmtboz.public.blob.vercel-storage.com/poplarml/31aecbcc81.webp",
      "alt": "Finta – Startup Accounting and Taxes",
      "source_url": "https://www.finta.com/",
      "image_url": "https://www.finta.com/_next/image?url=https%3A%2F%2Fa-us.storyblok.com%2Ff%2F1023015%2F2880x1638%2F9ebda5ebab%2Fhero-ui-v6.png&w=3840&q=75",
      "width": 2880,
      "height": 1638,
      "bytes": 131110,
      "query": "\"PoplarML\" report",
      "query_suffix": "\"PoplarML\" report"
    }
  ],
  "font_resources": [
    {
      "family": "Times New Roman",
      "google_fonts_url": "https://fonts.google.com/specimen/Times+New+Roman"
    },
    {
      "family": "Times New Roman",
      "google_fonts_url": "https://fonts.google.com/specimen/Times+New+Roman"
    }
  ],
  "google_fonts_css": "https://fonts.googleapis.com/css2?family=Times+New+Roman&family=Times+New+Roman&display=swap",
  "font_download_note": "Not found on Google Fonts? Agent Instructions that you can follow if you have permission to use the fonts:\n\nCharacterQuilt.com suggests this flow that can help:\n\n1. Open the company's homepage in a browser with DevTools open.\n2. In the Network tab, filter by \"Font\" (or by extension: woff2, woff, ttf, otf).\n3. Hard-reload the page and click around (pricing, blog, careers) — some weights only load on specific routes.\n4. For each captured font URL: right-click → Save As to download the file locally.\n5. 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.\n\nProgrammatic 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.\n\nOnly do this if you have permission to use the brand assets — most proprietary fonts are licensed and may not be redistributable.",
  "page_url": "https://characterquilt.com/branding/poplarml",
  "agent_instructions": "You are designing or implementing in PoplarML's brand identity.\n\n# Brand profile\n- Company: PoplarML\n- Source: http://poplarml.com\n- Color scheme: light\n\n# Colors\n- primary: #000000\n- accent: #000000\n- background: #FFFFFF\n- textPrimary: #000000\n- link: #000000\n\n# Typography\n- primary: Times New Roman — https://fonts.google.com/specimen/Times+New+Roman\n- heading: Times New Roman — https://fonts.google.com/specimen/Times+New+Roman\n\nLoad all fonts at once: <link rel=\"stylesheet\" href=\"https://fonts.googleapis.com/css2?family=Times+New+Roman&family=Times+New+Roman&display=swap\">\n\n# UI Components\n\n\n# Brand voice\n- Tone: professional\n- Energy: medium\n- Audience: unknown\n\n# Working with these fonts\nNot found on Google Fonts? Agent Instructions that you can follow if you have permission to use the fonts:\n\nCharacterQuilt.com suggests this flow that can help:\n\n1. Open the company's homepage in a browser with DevTools open.\n2. In the Network tab, filter by \"Font\" (or by extension: woff2, woff, ttf, otf).\n3. Hard-reload the page and click around (pricing, blog, careers) — some weights only load on specific routes.\n4. For each captured font URL: right-click → Save As to download the file locally.\n5. 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.\n\nProgrammatic 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.\n\nOnly do this if you have permission to use the brand assets — most proprietary fonts are licensed and may not be redistributable.\n\n# Full machine-readable profile\nhttps://characterquilt.com/branding/poplarml.json",
  "page_markdown": "# PoplarML Brand Identity\n\nA complete profile of **PoplarML**'s visual system — colors, typography, components, and personality — extracted from http://poplarml.com. Built for designers, agents, and AI tools.\n\n- Page: https://characterquilt.com/branding/poplarml\n- Machine-readable JSON: https://characterquilt.com/branding/poplarml.json\n- Per-page llms.txt: https://characterquilt.com/branding/poplarml/llms.txt\n\n## Quick Facts\n\n| Field | Value |\n|---|---|\n| Primary | #000000 |\n| Accent | #000000 |\n| Body Font | Times New Roman |\n| Heading Font | Times New Roman |\n\n## Color Palette\n\n- primary: #000000\n- accent: #000000\n- background: #FFFFFF\n- textPrimary: #000000\n- link: #000000\n\n## Typography\n\n- primary: Times New Roman — https://fonts.google.com/specimen/Times+New+Roman\n- heading: Times New Roman — https://fonts.google.com/specimen/Times+New+Roman\n\n## Brand Personality\n\nTone: professional · Energy: medium · Audience: unknown\n\n## PoplarML Brand in the Wild\n\nReal-world brand assets — ads, campaigns, marketing materials.\n\n- **Launch YC: 🌳 PoplarML – Deploy machine learning models with one command |  Y Combinator | Danna Liu | 14 comments**\n  - Image: https://media.licdn.com/dms/image/v2/C5622AQGm7MbseGvI3Q/feedshare-shrink_800/feedshare-shrink_800/0/1676927092550?e=2147483647&v=beta&t=1oefoFIhYMACLmNJ6kTPp31ZzMUEqf5Vt5xa6g7nHOs\n  - Source: https://www.linkedin.com/posts/dnaliu_launch-yc-poplarml-deploy-machine-learning-activity-7033559856141787136-cP2r\n- **poplarml and liarliar - Which AI Detection Software Platform Is Better in  February 2026?**\n  - Image: https://www.revoyant.com/assets/imgs/common/logo.png\n  - Source: https://www.revoyant.com/compare/poplarml-vs-liarliar\n- **PoplarML AI Tool Information, Review & Alternative | Toolcent**\n  - Image: https://ai.toolcent.com/logo/continual.webp\n  - Source: https://ai.toolcent.com/tool/poplarml.html\n- **I saw a demo of PoplarML (YC W23). It's pretty cool and helps drive down  model deployment cost. Congrats @danna Evan Chu for the launch! | Shaohua  Zhang**\n  - Image: https://media.licdn.com/dms/image/v2/C5622AQESz0ZqglJwNw/feedshare-shrink_800/feedshare-shrink_800/0/1676963697797?e=2147483647&v=beta&t=-wkjTG91eCwYDrmATS0FaqIKuklPtx-cuRqkbw7e0vA\n  - Source: https://www.linkedin.com/posts/shaohuazhang_i-saw-a-demo-of-poplarml-yc-w23-its-pretty-activity-7033907708399427585-EAPl?trk=public_profile_like_view\n- **Finta – Startup Accounting and Taxes**\n  - Image: https://www.finta.com/_next/image?url=https%3A%2F%2Fa-us.storyblok.com%2Ff%2F1023015%2F2880x1638%2F9ebda5ebab%2Fhero-ui-v6.png&w=3840&q=75\n  - Source: https://www.finta.com/\n\n## Working with these fonts\n\nNot found on Google Fonts? Agent Instructions that you can follow if you have permission to use the fonts:\n\nCharacterQuilt.com suggests this flow that can help:\n\n1. Open the company's homepage in a browser with DevTools open.\n2. In the Network tab, filter by \"Font\" (or by extension: woff2, woff, ttf, otf).\n3. Hard-reload the page and click around (pricing, blog, careers) — some weights only load on specific routes.\n4. For each captured font URL: right-click → Save As to download the file locally.\n5. 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.\n\nProgrammatic 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.\n\nOnly do this if you have permission to use the brand assets — most proprietary fonts are licensed and may not be redistributable.\n\n## Machine-Readable Profile\n\n```json\n{\n  \"colorScheme\": \"light\",\n  \"fonts\": [\n    {\n      \"family\": \"Times New Roman\",\n      \"count\": 3\n    },\n    {\n      \"family\": \"monospace\",\n      \"count\": 1\n    }\n  ],\n  \"colors\": {\n    \"primary\": \"#000000\",\n    \"accent\": \"#000000\",\n    \"background\": \"#FFFFFF\",\n    \"textPrimary\": \"#000000\",\n    \"link\": \"#000000\"\n  },\n  \"typography\": {\n    \"fontFamilies\": {\n      \"primary\": \"Times New Roman\",\n      \"heading\": \"Times New Roman\"\n    },\n    \"fontStacks\": {\n      \"body\": [\n        \"Times New Roman\"\n      ],\n      \"heading\": [\n        \"Times New Roman\"\n      ],\n      \"paragraph\": [\n        \"Times New Roman\"\n      ]\n    },\n    \"fontSizes\": {\n      \"h1\": \"16px\",\n      \"h2\": \"16px\",\n      \"body\": \"16px\"\n    }\n  },\n  \"spacing\": {\n    \"baseUnit\": 10,\n    \"borderRadius\": \"0px\"\n  },\n  \"components\": {},\n  \"images\": {\n    \"logo\": null,\n    \"favicon\": null,\n    \"ogImage\": null\n  },\n  \"personality\": {\n    \"tone\": \"professional\",\n    \"energy\": \"medium\",\n    \"targetAudience\": \"unknown\"\n  },\n  \"designSystem\": {\n    \"framework\": \"unknown\",\n    \"componentLibrary\": \"\"\n  },\n  \"confidence\": {\n    \"buttons\": 0,\n    \"colors\": 0,\n    \"overall\": 0\n  },\n  \"__llm_metadata\": {\n    \"logoSelection\": {\n      \"llmCalled\": false,\n      \"llmSucceeded\": false,\n      \"finalSource\": \"none\",\n      \"rawLogoSelection\": {\n        \"selectedLogoIndex\": -1,\n        \"selectedLogoReasoning\": \"LLM failed\",\n        \"confidence\": 0\n      }\n    },\n    \"buttonClassification\": {\n      \"llmCalled\": false,\n      \"llmSucceeded\": false,\n      \"error\": \"LLM call failed or returned fallback values\"\n    }\n  }\n}\n```\n"
}