CloudCruise (YC W24) – Graph-Based Workflow Builder for Web Agents
Hi HN, this is Adrian, Vere and Felix. CloudCruise is a graph-based workflow builder for web agents. Our DSL lets you orchestrate LLM-powered web actions with loops, conditionals and memory. Here is a 1 min demo: https://youtu.be/4AQfl5Gj_Ro We tried out existing web agents and found zero-shot planning unreliable for longer workflows. That’s why we’ve built a framework that lets you define a graph-based workflow. Every action is modelled as a node and edges between nodes define the next action to take. There are two different node type categories: Low-level browser interaction…
In plain words
CloudCruise is a graph-based workflow builder designed for creating reliable web agents powered by language models. It addresses limitations in zero-shot planning by letting users define workflows as graphs, where nodes represent browser actions or reasoning tasks and edges determine the sequence. The platform includes low-level interaction nodes for clicking and text input, and high-level nodes for data extraction and conditional logic, along with support for loops and memory. It is built for developers who need predictable automation of complex web tasks.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hi HN, this is Adrian, Vere and Felix. CloudCruise is a graph-based workflow builder for web agents. Our DSL lets you orchestrate LLM-powered web actions with loops, conditionals and memory. Here is a 1 min demo: https://youtu.be/4AQfl5Gj_Ro We tried out existing web agents and found zero-shot planning unreliable for longer workflows. That’s why we’ve built a framework that lets you define a graph-based workflow. Every action is modelled as a node and edges between nodes define the next action to take. There are two different node type categories: Low-level browser interaction nodes and high-level reasoning nodes. Low-level nodes are actions like clicking, inputing text or navigating to a new URL. High-level nodes are able to extract structured data from a webpage or make a conditional decision based on the content of the webpage. All of the nodes can be configured with a prompt in natural language. For instance, if you had a list of websites you could define a click-node with a prompt “Click on the contact page”. This ensures that workflows generalize to different websites independent of the layout. Our early users use us to automate tasks like: 1. Find the contact information of fire department chiefs in the US 2. Check the HR information of all employees registered on Gusto 3. Automate background research on people they have meetings with in Google Calendar We just released our chrome extension where you can build & run workflows for yourself. Its free for up to 200 browser actions a month. We’d love for you to try it and give us feedback. You can find the link to our extension through our landing page: https://cloudcruise.com/ Last but not least, here are some of the strange things we’ve encountered so far whilst automating the web: 1. Ancient relics like this website using a frameset instead of a body tag http://wantaghfd.com/ 2. This animation showing why having a dance off on a balcony is catastrophic: https://balcony1.com/ 3. A big company violating RFC 2616 by sending back an undefined HTTP status code 999
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