An open-source Profound alternative sized for a startup
Profound serves enterprise brand teams. Tin gives a startup the two jobs that matter first: measure whether AI answers recommend you, and publish the pages that change the answer.
codex mcp add tin --url https://app.tin.computer/mcpWhat Tin does in place of Profound
Profound is an enterprise platform for AI visibility, with large-scale prompt tracking, analytics and brand monitoring across AI engines.
| the job | how Tin does it | workflow |
|---|---|---|
| Visibility measurement | A target-blind audit you can rerun on a schedule. | visibility.audit → |
| Content for answer engines | Answer pages drafted from the findings. | content.answer_page → |
What Tin does not replace
Tin is not a clone. Here is where each one fits.
Profound still does this better
- Enterprise-scale prompt tracking and analytics.
- Brand safety and sentiment monitoring.
Choose Tin when
You are early, the budget is small, and you want the work done as well as measured.
Stay with Profound when
You manage an established brand across many markets and engines.
What every workflow here comes with
Battle tested on real products
These are the workflows we run for real companies. Claw Messenger went from about $45 to $2,105 in monthly revenue in 124 days on them. Each one has declared inputs, bounded execution and tests, and anything public waits for your review.
See the case study →Open source: read it, fork it, self-host it
Apache 2.0. Every workflow is a folder in the repository: the steps it runs, the data it reads and what it is allowed to do. Change it, or run the whole system on your own machine.
Open the repo →Runs on the agent that already knows your product
Tin connects to Claude Code, Codex or Cursor over MCP. That agent has your repository open and knows your product, customers and voice, so it fills the inputs and reviews the output. You never brief a new tool from zero.
All workflows →The workflows behind this page
Each one is a folder in the repo. Open a page for its steps, inputs and output.
Questions
Can I schedule Tin's AI visibility audit?
Yes. Workflows can run on a schedule, so you can compare results over time in your own project files.
Is Tin really open source?
Yes. Tin is licensed under Apache 2.0 and the source is at github.com/tin-computer/tin. You can read every workflow, change it, and self-host the whole system.
Which coding agents can run Tin workflows?
Any agent that speaks MCP, including Claude Code, Codex and Cursor. There is also an API, and the same projects run in the browser at app.tin.computer.
Why run marketing from a coding agent?
Because it already knows your product. It has the repository open, so it fills workflow inputs accurately, reviews output against what the product really does, and can act on the results in the same session.