Trusted by Individuals and Enterprises

"PixieBrix has solved one of our hardest operational problems - streamlining communication & product updates across support teams. Tracking and keeping everyone in the loop has yielded better agent performance, customer satisfaction & taken a huge burden off management."

Thatcher Foster

VP, Client Solutions

Top reasons to automate in the browser

Pull model metrics, query results, and experiment logs into one sidebar without switching tabs

Create Jira tickets from any page (notebook platforms, dashboards, GitHub) with pre-filled fields in one click

Surface data documentation and schema details directly inside your warehouse query editor for faster development

Auto-populate experiment tracking entries by pulling hyperparameters and metrics from notebook outputs and dashboards

AI Copilot in the sidebar can summarize pull requests, draft documentation, or explain query results from the current page

Build reusable data workflows your team can share without writing custom scripts or waiting for platform engineering

Frustrations that cost your team hours every week

Constant tab switching between notebook platforms, data warehouses, experiment trackers, and project management tools to gather context for analysis work
Manually copying query results, model metrics, or chart screenshots from dashboards into wiki pages, Confluence docs, or Jira tickets
No quick way to create a Jira ticket or task from a notebook finding or a failed experiment run without switching apps and re-entering context
Cross-referencing data lineage or schema documentation across multiple browser tabs while writing queries in a warehouse UI
Repetitive experiment logging that requires pasting hyperparameters, metrics, and dataset versions into a tracking tool from multiple sources
Reviewing pull requests on GitHub while needing to check related Jira tickets, data documentation, or notebook outputs in separate tabs
Sharing analysis findings requires manual formatting and copy-pasting of tables, charts, and SQL snippets into Slack or Confluence

Chat with AI to create your first custom workflow

Extract the model metrics from this notebook output and format them for my experiment tracker

Log Experiment Results

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Summarize the key findings from this query result and draft a write-up for stakeholders

Draft Analysis Summary

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Based on the data quality issue on this page, create a ticket in my project tracker with severity and impact details

Create Data Ticket

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Pull the column definitions from this data catalog page and format them as a documentation table for my wiki

Document Schema

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Summarize the code changes in this pull request and highlight any model or pipeline modifications

Summarize PR Changes

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Gather the key metrics from this dashboard and format a weekly data team update for stakeholders

Prep Stakeholder Update

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Frequently Asked Questions

Who is PixieBrix for?

PixieBrix is designed for teams that want to move faster without heavy engineering effort. It is commonly used by support teams, operations teams, product teams, and technical teams who need to connect tools, reduce manual work, and ensure the right information reaches the right people at the right time.

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What is PixieBrix?

PixieBrix is a browser-based automation platform that lets you customize how the tools you already use work together. It allows teams to add context, automate workflows, and create guided experiences across apps like support tools, internal dashboards, and SaaS products without building or maintaining custom integrations.

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How does PixieBrix work?

PixieBrix works by layering automation directly into the browser. It can read data from the page you are viewing, connect to APIs, and trigger actions like sending messages, filling forms, or enriching data in real time. This lets teams automate workflows exactly where work is already happening.

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"PixieBrix has solved one of our hardest operational problems - streamlining communication & product updates across support teams. Tracking and keeping everyone in the loop has yielded better agent performance, customer satisfaction & taken a huge burden off management."

Thatcher Foster

VP, Client Solutions

Snowflake

Databricks

GitHub

Jira

Confluence

Tableau

Google Sheets

Slack

Chat with AI to create your first custom workflow

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Frequently Asked Questions

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