Vovy finds the pages and API calls that return the same data over and over, then caches them at the edge or in Redis so they come back in milliseconds.
Add caching to my app so it stops hitting the database every time
How it works
- Find what repeats: Vovy looks at your routes and logs for data that is the same for everyone, like a pricing page, product list or public profile.
- Check current cache headers: In Chrome's Network tab it reads Cache-Control and x-vercel-cache on each response. MISS every time means nothing is being cached.
- Cache public pages at the edge: Cursor adds headers like s-maxage=60, stale-while-revalidate so Vercel's CDN serves a saved copy and refreshes it quietly in the background.
- Cache expensive queries in Redis: For data that needs a login, Vovy sets up an Upstash Redis database, a fast key-value store, and caches the slow query for a few minutes.
- Show the speed difference: You get a card with response times on first and second load, and the headers now showing HIT.
What you provide
- Your project open in Cursor
- An Upstash account if Redis is needed
What you get
- Edge caching on public pages
- Redis cache for slow queries
- Before and after timings
- Cache rules explained
FAQ
Will users see old data?
For as long as you set, often 60 seconds. Vovy keeps anything personal, like carts or dashboards, out of the shared cache.
Is Upstash free?
Upstash has a free tier with a monthly command allowance, enough for small apps. You pay per request above that.
Could caching leak one user's data to another?
Only if personal responses get cached publicly. Vovy marks logged-in responses private so the CDN never shares them.
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