AI agents working on frontend tasks need reliable access to real, rendered web pages, but getting clean browser output is still harder than it should be. Rasterport makes this simple. Just run `npx rasterport ` and get a fully rendered screenshot and optional DOM in structured JSON, ready to plug into agent workflows, automation, or CI. It works across localhost, staging, and production, and is designed to be fast and lightweight This is v0, and I am actively iterating on feedback.

Fathom 3.0 — AI meeting notes: now bot-free, in ChatGPT & Claude + more

AI meeting notes: now bot-free, in ChatGPT & Claude + more

Hey everyone, I am the maker of Rasterport. I built this while working with AI agents that needed to interact with frontend apps. A recurring problem was getting reliable access to what a page actually looks like after rendering, in a way that fits cleanly into agent workflows. In many cases, I just wanted something simple. Point to a URL and get back structured browser output that an agent can actually use. Rasterport is my attempt to make that easy. You can run npx rasterport and get a fully rendered screenshot and optional DOM in JSON, ready for agent workflows, automation, or CI. It has already crossed 1100+ downloads in the first 24 hours, which has been a great signal and helped shape early improvements. It works across localhost, staging, and production, and is designed to stay fast and lightweight. This is still v0, and I am actively iterating based on feedback. Would love to hear: - What kind of agent workflows you would use this in - What is missing for your use case - Any rough edges you run into Happy to answer everything here.

Fathom 3.0 — AI meeting notes: now bot-free, in ChatGPT & Claude + more

AI meeting notes: now bot-free, in ChatGPT & Claude + more

Rasterport

Give AI agents eyes on the web

Give AI agents eyes on the web