diff --git a/package.json b/package.json
index ee9041a2..da36e179 100644
--- a/package.json
+++ b/package.json
@@ -17,7 +17,7 @@
     "./stats": "./stats.mjs"
   },
   "scripts": {
-    "build": "node script/build.js && node script/stats.js",
+    "build": "node script/build.js && node script/stats.js && node script/report.js",
     "test": "mocha test.js"
   },
   "engines": {
diff --git a/script/report.js b/script/report.js
new file mode 100644
index 00000000..71f339b4
--- /dev/null
+++ b/script/report.js
@@ -0,0 +1,142 @@
+#!/usr/bin/env node
+
+import fs from 'node:fs/promises';
+import path from 'node:path';
+
+async function generateReport() {
+  try {
+    // Read the data files
+    const statsData = JSON.parse(await fs.readFile('stats.json', 'utf8'));
+    const modelsData = JSON.parse(await fs.readFile('models-lite.json', 'utf8'));
+    
+    // Get current date and date 7 days ago
+    const today = new Date();
+    const sevenDaysAgo = new Date();
+    sevenDaysAgo.setDate(today.getDate() - 7);
+    const sevenDaysAgoStr = sevenDaysAgo.toISOString().split('T')[0];
+    
+    // Calculate models with most runs this week
+    const weeklyRunsMap = new Map();
+    
+    for (const [modelName, modelStats] of Object.entries(statsData)) {
+      const weeklyRuns = modelStats
+        .filter(stat => stat.date >= sevenDaysAgoStr)
+        .reduce((sum, stat) => sum + stat.dailyRuns, 0);
+      
+      if (weeklyRuns > 0) {
+        weeklyRunsMap.set(modelName, weeklyRuns);
+      }
+    }
+    
+    // Sort by weekly runs (descending)
+    const topWeeklyModels = Array.from(weeklyRunsMap.entries())
+      .sort((a, b) => b[1] - a[1])
+      .slice(0, 10);
+    
+    // Calculate models with most runs ever
+    const totalRunsMap = new Map();
+    
+    for (const model of modelsData) {
+      const modelName = `${model.owner}/${model.name}`;
+      totalRunsMap.set(modelName, model.run_count);
+    }
+    
+    // Sort by total runs (descending)
+    const topTotalModels = Array.from(totalRunsMap.entries())
+      .sort((a, b) => b[1] - a[1])
+      .slice(0, 10);
+    
+    // Detect new models (created in last 7 days)
+    const newModels = modelsData
+      .filter(model => {
+        const createdDate = new Date(model.url.includes('created_at=') ? 
+          decodeURIComponent(model.url.split('created_at=')[1]) : 
+          new Date(0)); // fallback for models without creation date in URL
+        return createdDate >= sevenDaysAgo;
+      })
+      .slice(0, 10);
+    
+    // For updated models, we'll check models that have had recent activity
+    const recentlyActiveModels = [];
+    
+    for (const [modelName, modelStats] of Object.entries(statsData)) {
+      if (modelStats.length > 0) {
+        const lastStat = modelStats[modelStats.length - 1];
+        const lastStatDate = new Date(lastStat.date);
+        
+        // Check if model had runs in the last 3 days
+        if (lastStatDate >= new Date(today.getTime() - 3 * 24 * 60 * 60 * 1000) && lastStat.dailyRuns > 0) {
+          const model = modelsData.find(m => `${m.owner}/${m.name}` === modelName);
+          if (model) {
+            recentlyActiveModels.push({
+              name: modelName,
+              runs: lastStat.dailyRuns,
+              totalRuns: lastStat.totalRuns,
+              description: model.description || 'No description'
+            });
+          }
+        }
+      }
+    }
+    
+    // Sort by recent activity and limit
+    const updatedModels = recentlyActiveModels
+      .sort((a, b) => b.runs - a.runs)
+      .slice(0, 10);
+    
+    // Generate the report
+    const reportContent = `# Replicate Models Report
+
+*Generated on ${today.toISOString().split('T')[0]}*
+
+## 📈 Models with Most Runs This Week
+
+${topWeeklyModels.map((model, index) => 
+  `${index + 1}. **${model[0]}** - ${model[1].toLocaleString()} runs`
+).join('\n')}
+
+## 🏆 Models with Most Runs Ever
+
+${topTotalModels.map((model, index) => 
+  `${index + 1}. **${model[0]}** - ${model[1].toLocaleString()} total runs`
+).join('\n')}
+
+## 🆕 New Models (Last 7 Days)
+
+${newModels.length > 0 ? 
+  newModels.map(model => 
+    `- **${model.owner}/${model.name}** - ${model.description || 'No description'}`
+  ).join('\n') : 
+  'No new models found in the last 7 days.'
+}
+
+## 🔄 Recently Updated Models (Active in Last 3 Days)
+
+${updatedModels.length > 0 ? 
+  updatedModels.map(model => 
+    `- **${model.name}** - ${model.runs} runs recently (${model.totalRuns.toLocaleString()} total)`
+  ).join('\n') : 
+  'No recently active models found.'
+}
+
+---
+
+*This report is automatically generated from Replicate model usage data.*
+`;
+
+    // Write the report
+    await fs.writeFile('report.md', reportContent);
+    console.log('Report generated successfully: report.md');
+    
+  } catch (error) {
+    console.error('Error generating report:', error);
+    process.exit(1);
+  }
+}
+
+// Run the report generation
+if (import.meta.url === `file://${process.argv[1]}`) {
+  generateReport();
+}
+
+export { generateReport };
\ No newline at end of file