Sitesaver
Save entire sites — powered by AI 🤖
As a product designer, I often needed to capture websites for research, benchmarking, or inspiration — but doing so efficiently was surprisingly difficult. Most browser “Save Page” options only download a single page, not a full experience. Paid offline tools existed, but they were cluttered, unreliable, or visually outdated. I wanted something simple, fast, and free — a way to download complete websites for offline browsing, without any unnecessary complexity.
I designed Sitesaver (working title) as a clean, single-purpose tool: enter a URL, hit download, and get a .zip with the full site structure, including pages, styles, and images. Once unzipped, users can open index.html locally and navigate the site just like they would online. The interface is intentionally minimal — just a search bar and progress feedback — removing the friction that makes most utilities feel heavy or dated.
The first prototype used Supabase as a lightweight backend and Firecrawl as the crawler for structured site extraction. It worked well but required multiple external connections and periodic maintenance. When Lovable launched its native Cloud runtime, I rebuilt the app using only their environment. This made it far faster and more stable, cutting server round-trips and allowing all processes — from crawling to file bundling — to run in one place.
The beta version now runs entirely serverless, handling small to medium-sized websites in seconds. It’s already part of my daily design process — whether I’m reviewing interface patterns offline, prepping workshop material, or comparing competitor layouts without constant tab-hopping. Sitesaver started as a side tool, but became a practical example of how I approach problems: identify inefficiencies in my own workflow, validate the need, and design a small, focused solution that just works.
👉 sitesaver.lovable.app
