Changes to tyrantmap.scroll.pub

+ buildHtml

+ baseUrl https://tyrantmap.scroll.pub

+ metaTags

+ editButton /edit.html

+ title TyrantMapper - Historical Leader Analysis

+ style.css

+

+ header

+ class hero

+ div

+ class hero-content

+ h1 TyrantMapper

+ class gradient-text

+ p Explore historical patterns of authoritarian leadership through AI-powered analysis

+ main

+ class container

+ section

+ class visualization

+ div

+ class plot-container

+ canvas#pcaPlot

+ div

+ class analysis-box glass

+ form#leaderForm

+ label

+ class sr-only

+ for leaderDesc

+ textarea#leaderDesc

+ placeholder Describe your political opponent...

+ button

+ type submit

+ class analyze-btn

+ Find Historical Match

+ div

+ class result-card hidden

+ id result

+ script.js

+ {

+ "id": "ebcb620b-5b97-4328-a0f1-80a4205ac02e",

+ "object": "chat.completion",

+ "created": 1738201476,

+ "model": "deepseek-reasoner",

+ "choices": [

+ {

+ "index": 0,

+ "message": {

+ "role": "assistant",

+ "content": "---domain---\ntyrantmap.scroll.pub\n---index.scroll---\nbuildHtml\nbaseUrl https://tyrantmap.scroll.pub\nmetaTags\n editButton /edit.html\ntitle TyrantMapper - Historical Leader Analysis\nstyle.css\n\nheader\n class hero\n div\n class hero-content\n h1 TyrantMapper\n class gradient-text\n p Explore historical patterns of authoritarian leadership through AI-powered analysis\nmain\n class container\n section\n class visualization\n div\n class plot-container\n canvas#pcaPlot\n div\n class analysis-box glass\n form#leaderForm\n label\n class sr-only\n for leaderDesc\n textarea#leaderDesc\n placeholder Describe your political opponent...\n button\n type submit\n class analyze-btn\n Find Historical Match\n div\n class result-card hidden\n id result\nscript.js\n\n---style.css---\n:root {\n --primary: #ff4d4d;\n --secondary: #6c5ce7;\n --bg-gradient: linear-gradient(135deg, #1a1a2e 0%, #16213e 100%);\n --glass: rgba(255, 255, 255, 0.05);\n}\n\nbody {\n margin: 0;\n font-family: 'Segoe UI', system-ui;\n background: var(--bg-gradient);\n color: white;\n min-height: 100vh;\n}\n\n.hero {\n padding: 2rem 1rem;\n text-align: center;\n background: linear-gradient(45deg, #ff416c55, #ff4b2b55);\n backdrop-filter: blur(5px);\n}\n\n.gradient-text {\n background: linear-gradient(45deg, #ff4d4d, #6c5ce7);\n -webkit-background-clip: text;\n background-clip: text;\n color: transparent;\n}\n\n.container {\n max-width: 1200px;\n margin: 0 auto;\n padding: 2rem 1rem;\n}\n\n.visualization {\n display: grid;\n gap: 2rem;\n grid-template-columns: 1fr;\n margin-top: 3rem;\n}\n\n.plot-container {\n position: relative;\n background: var(--glass);\n border-radius: 20px;\n padding: 1rem;\n backdrop-filter: blur(10px);\n box-shadow: 0 8px 32px rgba(0, 0, 0, 0.3);\n}\n\n#pcaPlot {\n width: 100%;\n height: 60vh;\n min-height: 400px;\n}\n\n.glass {\n background: var(--glass);\n border-radius: 15px;\n padding: 1.5rem;\n backdrop-filter: blur(5px);\n border: 1px solid rgba(255, 255, 255, 0.1);\n}\n\n#leaderForm {\n display: grid;\n gap: 1rem;\n}\n\ntextarea {\n width: 100%;\n padding: 1rem;\n border-radius: 10px;\n border: none;\n background: rgba(0, 0, 0, 0.3);\n color: white;\n min-height: 100px;\n resize: vertical;\n}\n\n.analyze-btn {\n background: linear-gradient(45deg, var(--primary), var(--secondary));\n color: white;\n border: none;\n padding: 1rem 2rem;\n border-radius: 50px;\n cursor: pointer;\n font-weight: bold;\n transition: transform 0.2s;\n}\n\n.analyze-btn:hover {\n transform: scale(1.05);\n}\n\n.result-card {\n margin-top: 2rem;\n animation: fadeIn 0.5s;\n}\n\n@keyframes fadeIn {\n from { opacity: 0; transform: translateY(20px); }\n to { opacity: 1; transform: translateY(0); }\n}\n\n@media (max-width: 768px) {\n .visualization {\n grid-template-columns: 1fr;\n }\n \n #pcaPlot {\n height: 50vh;\n }\n}\n\n.sr-only {\n position: absolute;\n width: 1px;\n height: 1px;\n padding: 0;\n margin: -1px;\n overflow: hidden;\n clip: rect(0, 0, 0, 0);\n border: 0;\n}\n\n.hidden {\n display: none;\n}\n---script.js---\nconst canvas = document.getElementById('pcaPlot');\nconst ctx = canvas.getContext('2d');\nconst leaders = [];\nconst colors = ['#ff4d4d', '#6c5ce7', '#ffaf40', '#2ecc71'];\n\n// Generate random leader data\nfor (let i = 0; i < 200; i++) {\n leaders.push({\n x: Math.random() * 0.8 + 0.1,\n y: Math.random() * 0.8 + 0.1,\n name: `Leader ${i+1}`,\n era: Math.random() > 0.5 ? 'Modern' : 'Historical',\n traits: Array.from({length: 5}, () => Math.random())\n });\n}\n\nfunction resizeCanvas() {\n canvas.width = canvas.offsetWidth;\n canvas.height = canvas.offsetHeight;\n drawPlot();\n}\n\nfunction drawPlot() {\n ctx.clearRect(0, 0, canvas.width, canvas.height);\n \n leaders.forEach(leader => {\n const x = leader.x * canvas.width;\n const y = leader.y * canvas.height;\n \n ctx.beginPath();\n ctx.arc(x, y, 5, 0, Math.PI * 2);\n ctx.fillStyle = colors[Math.floor(Math.random() * colors.length)];\n ctx.fill();\n \n // Add glow effect\n ctx.shadowColor = ctx.fillStyle;\n ctx.shadowBlur = 15;\n ctx.shadowOffsetX = 0;\n ctx.shadowOffsetY = 0;\n });\n}\n\ndocument.getElementById('leaderForm').addEventListener('submit', (e) => {\n e.preventDefault();\n const input = document.getElementById('leaderDesc').value;\n \n // Simulate similarity analysis\n const randomLeader = leaders[Math.floor(Math.random() * leaders.length)];\n const resultDiv = document.getElementById('result');\n \n resultDiv.innerHTML = `\n

Closest Match Found:

\n

${randomLeader.name}

\n

Era: ${randomLeader.era}

\n

Authoritarian Tendency Score: ${Math.floor(Math.random()*100)}/100

\n `;\n \n resultDiv.classList.remove('hidden');\n});\n\n// Initial setup\nwindow.addEventListener('resize', resizeCanvas);\nresizeCanvas();\n\n// Add interactive hover effect\ncanvas.addEventListener('mousemove', (e) => {\n const rect = canvas.getBoundingClientRect();\n const mouseX = e.clientX - rect.left;\n const mouseY = e.clientY - rect.top;\n \n leaders.forEach(leader => {\n const x = leader.x * canvas.width;\n const y = leader.y * canvas.height;\n const dist = Math.hypot(mouseX - x, mouseY - y);\n \n if (dist < 15) {\n ctx.beginPath();\n ctx.arc(x, y, 15, 0, Math.PI * 2);\n ctx.fillStyle = 'rgba(255, 255, 255, 0.1)';\n ctx.fill();\n }\n });\n});\n---end---",

+ "reasoning_content": "Okay, let's tackle this problem. The user wants a website that displays a PCA plot of bad historical leaders with 200 random dots. Then, an input where you describe a leader, and it finds the closest match. All using only HTML, CSS, JS, no frameworks, and it has to look great.\n\nFirst, the domain name. It should be something memorable ending with scroll.pub. Maybe \"tyrantmap.scroll.pub\"? Combines tyrant and mapping, which fits the PCA plot.\n\nNext, the structure. The main content should be above the fold. So a hero section with the plot and input. Using a gradient background for visual appeal. The PCA plot can be a canvas element. Since PCA typically is 2D, generate random x and y for 200 points. Each point represents a leader, but since it's random, no real data—just for demonstration.\n\nFor the input, a text area where the user describes a leader. On submit, find the closest leader. Since the data is random, the matching will be simulated. Maybe calculate the distance from a random point to the input's vector (which we'll generate randomly on each submit). The closest point will highlight.\n\nAccessibility: Ensure the form is accessible with labels, ARIA attributes. Use semantic HTML elements like main, section, header, footer.\n\nStyling: Use CSS gradients, maybe a dark theme with purples and blues. Animated gradients for background. The plot area with a glassmorphism effect (blur, translucent background). Responsive design with media queries for mobile.\n\nJavaScript: Handle canvas drawing, generate random points, store them with names and descriptions. On submit, generate a random vector for the input, compute distances, find the closest, and display the result. Also, animate the dots on hover for interactivity.\n\nPotential issues: Making the canvas responsive. Using relative units, redrawing on resize. Also, the random data—since real PCA isn't implemented, but the user asked for a simulation, so it's acceptable.\n\nTesting: Check mobile responsiveness, ensure the canvas doesn't overflow, and the form is usable. Check that the gradients look good on different screens.\n\nPutting it all together: The HTML structure using Scroll syntax, CSS with gradients and animations, JS for the canvas and interaction. Keep the code clean and commented where necessary."

+ },

+ "logprobs": null,

+ "finish_reason": "stop"

+ }

+ ],

+ "usage": {

+ "prompt_tokens": 882,

+ "completion_tokens": 2148,

+ "total_tokens": 3030,

+ "prompt_tokens_details": {

+ "cached_tokens": 0

+ },

+ "completion_tokens_details": {

+ "reasoning_tokens": 480

+ },

+ "prompt_cache_hit_tokens": 0,

+ "prompt_cache_miss_tokens": 882

+ },

+ "system_fingerprint": "fp_7e73fd9a08"

+ }

+ # tyrantmap.scroll.pub

+

+ Prompt: website

+ Agent: deepseekreasoner

+ Model: deepseek-reasoner

+

+ ## User prompt

+ Build a website which shows a PCA plot of all bad historical world leaders in history. It should show about 200 randomly drawn dots. And then you should be able to describe a world leader and it will show you which leader from history is most like the leader you are running against. Show there should be one input. As much as possible above the fold. Make it look visually appealing. Cool gradients etc.

+

+ ## System prompt

+ You are an expert web developer. Create a website based on this request: "Build a website which shows a PCA plot of all bad historical world leaders in history. It should show about 200 randomly drawn dots. And then you should be able to describe a world leader and it will show you which leader from history is most like the leader you are running against. Show there should be one input. As much as possible above the fold. Make it look visually appealing. Cool gradients etc."

+

+ Requirements:

+ - Use only Scroll, CSS, and JavaScript (NO frameworks, NO external dependencies)

+ - Create clean, semantic HTML5

+ - Make it mobile-responsive

+ - Follow modern best practices and accessibility guidelines

+ - Keep it simple but professional

+ - Use only relative links and no external resources

+ - Do not put a copyright symbol or all rights reserved in the footer.

+ - Make it beautiful. Dazzling. Advanced used of CSS.

+

+ As a refresher, for doing the html body, Scroll is a whitespace based language that uses a single indented space to mark a line (aka particle) as a subparticle of a parent line.

+

+ For example:

+

+ header

+ class hero

+ nav

+ div Scroll

+ class logo

+ div

+ class nav-links

+ a Features

+ href #features

+ a Examples

+ href #examples

+ a Edit

+ href edit.html

+ a GitHub

+ class cta-button

+ href https://github.com/breck7/scroll

+ div

+ class hero-content

+ h1 Write Better with Scroll

+ p The extendible markup language that makes source beautiful and compiles to anything

+ a Get Started

+ class primary-button

+ href https://hub.scroll.pub/

+ main

+ section

+ id features

+ class features

+ h2 Why Scroll?

+ div

+ class feature-grid

+ div

+ class feature-card

+ div ⚡

+ class feature-icon

+ h3 Simple Syntax

+ p Like Markdown, but more powerful. No parentheses needed.

+ div

+ class feature-card

+ div 🧩

+ class feature-icon

+ h3 Extendible

+ p Build your own custom parsers.

+ div

+ class feature-card

+ div 🎨

+ class feature-icon

+ h3 Beautiful Output

+ p Create stunning documents with minimal effort.

+ div

+ class feature-card

+ div 🚀

+ class feature-icon

+ h3 Fast & Light

+ p Built on the efficient PPS Stack.

+ section

+ id examples

+ class code-demo

+ h2 See It In Action

+ div

+ class code-container

+ pre

+ class code-example

+ div

+ class code-output

+ footer

+ div

+ class footer-content

+ div

+ class footer-links

+ a Documentation

+ href https://scroll.pub/tutorial.html

+ a Community

+ href https://www.reddit.com/r/WorldWideScroll/

+ a Blog

+ href https://scroll.pub/blog

+ p Started by Breck Yunits. Evolved by a community.

+ https://twitter.com/breckyunits Breck Yunits

+ https://github.com/breck7/scroll/graphs/contributors community

+

+

+ First suggest a short, memorable domain name ending in scroll.pub that represents this website. Then provide the website files. Use this exact format:

+

+ ---domain---

+ (domainscroll.pub here)

+ ---index.scroll---

+ buildHtml

+ baseUrl https://(domainscroll.pub here)

+ metaTags

+ editButton /edit.html

+ title (Title here)

+ style.css

+

+ (body content here. no blank lines please.)

+

+ script.js

+ ---style.css---

+ (CSS content here)

+ ---script.js---

+ (JavaScript content here)

+ ---end---

+ const canvas = document.getElementById('pcaPlot');

+ const ctx = canvas.getContext('2d');

+ const leaders = [];

+ const colors = ['#ff4d4d', '#6c5ce7', '#ffaf40', '#2ecc71'];

+

+ // Generate random leader data

+ for (let i = 0; i < 200; i++) {

+ leaders.push({

+ x: Math.random() * 0.8 + 0.1,

+ y: Math.random() * 0.8 + 0.1,

+ name: `Leader ${i+1}`,

+ era: Math.random() > 0.5 ? 'Modern' : 'Historical',

+ traits: Array.from({length: 5}, () => Math.random())

+ });

+ }

+

+ function resizeCanvas() {

+ canvas.width = canvas.offsetWidth;

+ canvas.height = canvas.offsetHeight;

+ drawPlot();

+ }

+

+ function drawPlot() {

+ ctx.clearRect(0, 0, canvas.width, canvas.height);

+

+ leaders.forEach(leader => {

+ const x = leader.x * canvas.width;

+ const y = leader.y * canvas.height;

+

+ ctx.beginPath();

+ ctx.arc(x, y, 5, 0, Math.PI * 2);

+ ctx.fillStyle = colors[Math.floor(Math.random() * colors.length)];

+ ctx.fill();

+

+ // Add glow effect

+ ctx.shadowColor = ctx.fillStyle;

+ ctx.shadowBlur = 15;

+ ctx.shadowOffsetX = 0;

+ ctx.shadowOffsetY = 0;

+ });

+ }

+

+ document.getElementById('leaderForm').addEventListener('submit', (e) => {

+ e.preventDefault();

+ const input = document.getElementById('leaderDesc').value;

+

+ // Simulate similarity analysis

+ const randomLeader = leaders[Math.floor(Math.random() * leaders.length)];

+ const resultDiv = document.getElementById('result');

+

+ resultDiv.innerHTML = `

+

Closest Match Found:

+

${randomLeader.name}

+

Era: ${randomLeader.era}

+

Authoritarian Tendency Score: ${Math.floor(Math.random()*100)}/100

+ `;

+

+ resultDiv.classList.remove('hidden');

+ });

+

+ // Initial setup

+ window.addEventListener('resize', resizeCanvas);

+ resizeCanvas();

+

+ // Add interactive hover effect

+ canvas.addEventListener('mousemove', (e) => {

+ const rect = canvas.getBoundingClientRect();

+ const mouseX = e.clientX - rect.left;

+ const mouseY = e.clientY - rect.top;

+

+ leaders.forEach(leader => {

+ const x = leader.x * canvas.width;

+ const y = leader.y * canvas.height;

+ const dist = Math.hypot(mouseX - x, mouseY - y);

+

+ if (dist < 15) {

+ ctx.beginPath();

+ ctx.arc(x, y, 15, 0, Math.PI * 2);

+ ctx.fillStyle = 'rgba(255, 255, 255, 0.1)';

+ ctx.fill();

+ }

+ });

+ });

+ :root {

+ --primary: #ff4d4d;

+ --secondary: #6c5ce7;

+ --bg-gradient: linear-gradient(135deg, #1a1a2e 0%, #16213e 100%);

+ --glass: rgba(255, 255, 255, 0.05);

+ }

+

+ body {

+ margin: 0;

+ font-family: 'Segoe UI', system-ui;

+ background: var(--bg-gradient);

+ color: white;

+ min-height: 100vh;

+ }

+

+ .hero {

+ padding: 2rem 1rem;

+ text-align: center;

+ background: linear-gradient(45deg, #ff416c55, #ff4b2b55);

+ backdrop-filter: blur(5px);

+ }

+

+ .gradient-text {

+ background: linear-gradient(45deg, #ff4d4d, #6c5ce7);

+ -webkit-background-clip: text;

+ background-clip: text;

+ color: transparent;

+ }

+

+ .container {

+ max-width: 1200px;

+ margin: 0 auto;

+ padding: 2rem 1rem;

+ }

+

+ .visualization {

+ display: grid;

+ gap: 2rem;

+ grid-template-columns: 1fr;

+ margin-top: 3rem;

+ }

+

+ .plot-container {

+ position: relative;

+ background: var(--glass);

+ border-radius: 20px;

+ padding: 1rem;

+ backdrop-filter: blur(10px);

+ box-shadow: 0 8px 32px rgba(0, 0, 0, 0.3);

+ }

+

+ #pcaPlot {

+ width: 100%;

+ height: 60vh;

+ min-height: 400px;

+ }

+

+ .glass {

+ background: var(--glass);

+ border-radius: 15px;

+ padding: 1.5rem;

+ backdrop-filter: blur(5px);

+ border: 1px solid rgba(255, 255, 255, 0.1);

+ }

+

+ #leaderForm {

+ display: grid;

+ gap: 1rem;

+ }

+

+ textarea {

+ width: 100%;

+ padding: 1rem;

+ border-radius: 10px;

+ border: none;

+ background: rgba(0, 0, 0, 0.3);

+ color: white;

+ min-height: 100px;

+ resize: vertical;

+ }

+

+ .analyze-btn {

+ background: linear-gradient(45deg, var(--primary), var(--secondary));

+ color: white;

+ border: none;

+ padding: 1rem 2rem;

+ border-radius: 50px;

+ cursor: pointer;

+ font-weight: bold;

+ transition: transform 0.2s;

+ }

+

+ .analyze-btn:hover {

+ transform: scale(1.05);

+ }

+

+ .result-card {

+ margin-top: 2rem;

+ animation: fadeIn 0.5s;

+ }

+

+ @keyframes fadeIn {

+ from { opacity: 0; transform: translateY(20px); }

+ to { opacity: 1; transform: translateY(0); }

+ }

+

+ @media (max-width: 768px) {

+ .visualization {

+ grid-template-columns: 1fr;

+ }

+

+ #pcaPlot {

+ height: 50vh;

+ }

+ }

+

+ .sr-only {

+ position: absolute;

+ width: 1px;

+ height: 1px;

+ padding: 0;

+ margin: -1px;

+ overflow: hidden;

+ clip: rect(0, 0, 0, 0);

+ border: 0;

+ }

+

+ .hidden {

+ display: none;

+ }