feat: add Vercel Analytics, Speed Insights, and Umami analytics

- Add @vercel/analytics and @vercel/speed-insights packages
- Create SiteAnalytics component with Vercel + conditional Umami tracking
- Add analytics to main layout and dashboard layout
- Add Umami self-hosted setup documentation

Vercel Analytics/Speed Insights work automatically on deploy.
Umami activates when NEXT_PUBLIC_UMAMI_WEBSITE_ID env var is set.

Author: codercatdev

components/analytics.tsx

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+"use client";
+
+import { Analytics } from "@vercel/analytics/next";
+import { SpeedInsights } from "@vercel/speed-insights/next";
+import Script from "next/script";
+
+export function SiteAnalytics() {
+	return (
+		<>
+			<Analytics />
+			<SpeedInsights />
+			{process.env.NEXT_PUBLIC_UMAMI_WEBSITE_ID && (
+				<Script
+					src={process.env.NEXT_PUBLIC_UMAMI_URL || "https://analytics.codingcat.dev/script.js"}
+					data-website-id={process.env.NEXT_PUBLIC_UMAMI_WEBSITE_ID}
+					strategy="afterInteractive"
+				/>
+			)}
+		</>
+	);
+}

docs/umami-setup.md

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+# Umami Analytics Setup
+
+## Overview
+Umami is self-hosted on Vercel + Supabase for $0/month analytics.
+
+## Setup Steps
+
+### 1. Fork Umami
+Fork https://github.com/umami-is/umami to the CodingCatDev GitHub org.
+
+### 2. Create Umami tables in Supabase
+Run the Umami PostgreSQL schema in your Supabase SQL editor.
+See: https://umami.is/docs/install
+
+### 3. Deploy to Vercel
+- Import the forked repo in Vercel
+- Set environment variable: `DATABASE_URL` = your Supabase connection string
+- Deploy
+
+### 4. Configure
+- Visit your Umami instance (e.g., analytics.codingcat.dev)
+- Create a website entry for codingcat.dev
+- Copy the Website ID
+
+### 5. Set environment variables in codingcat.dev
+```
+NEXT_PUBLIC_UMAMI_WEBSITE_ID=<your-website-id>
+NEXT_PUBLIC_UMAMI_URL=https://analytics.codingcat.dev/script.js
+```
+
+### 6. Custom domain (optional)
+Add `analytics.codingcat.dev` as a custom domain in Vercel for the Umami project.
+
+## Querying Analytics Data
+Since Umami writes to your Supabase database, you can query analytics directly:
+
+```sql
+-- Top pages last 30 days
+SELECT url_path, COUNT(*) as views
+FROM website_event
+WHERE website_id = '<your-id>'
+  AND created_at > NOW() - INTERVAL '30 days'
+  AND event_type = 1
+GROUP BY url_path
+ORDER BY views DESC
+LIMIT 20;
+
+-- Sponsor report: views by content type
+SELECT 
+  CASE 
+    WHEN url_path LIKE '/post/%' THEN 'Blog Post'
+    WHEN url_path LIKE '/podcast/%' THEN 'Podcast'
+    WHEN url_path LIKE '/course/%' THEN 'Course'
+    ELSE 'Other'
+  END as content_type,
+  COUNT(*) as views,
+  COUNT(DISTINCT session_id) as unique_visitors
+FROM website_event
+WHERE website_id = '<your-id>'
+  AND created_at > NOW() - INTERVAL '30 days'
+  AND event_type = 1
+GROUP BY content_type
+ORDER BY views DESC;
+```