Browser tools that speed up analytics engineering
Use PixieBrix to customize and automate any tool you already use, right in your browser.
3000+ Integrations
AI Automation
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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 Snowflake query results, Looker dashboard context, and Jira ticket details into one sidebar without switching tabs
Create Jira tickets for data quality issues directly from Looker dashboards or Snowflake query results with pre-filled fields
Surface pipeline freshness metadata and upstream model status inside your BI tool while reviewing dashboards
Auto-format query results from Snowflake or Mode into tables for Confluence or Google Sheets in one click
AI Copilot in the sidebar can summarize data requests, draft model documentation, or explain SQL logic from the current page
Build reusable data request intake workflows your team can share without writing code or waiting for engineering
Integrate with 3000+ apps
Frustrations that cost your team hours every week
  • Constant tab switching between Snowflake console, Looker, Jira, GitHub, and documentation wikis to cross-reference data models and business requirements
  • Manually copying SQL snippets, column definitions, or metric logic between dbt docs, Confluence pages, and Jira tickets
  • No quick way to create a Jira ticket for a data quality issue directly from a Looker dashboard or Snowflake query result
  • Pulling stakeholder context from Slack threads or Jira tickets into data model documentation requires manual copy-paste across tabs
  • Repetitive creation of data request intake forms that require the same metadata fields every time
  • No way to surface upstream pipeline status or freshness metadata when reviewing a dashboard in Looker or Tableau
  • Manually formatting query results from Snowflake or Mode into tables for Confluence or Google Sheets status updates

Chat with AI to create your first custom workflow

Extract the data quality problem from this dashboard and create a ticket in my project tracker with severity and impact
Summarize the columns and logic in this query and draft a model documentation entry for my team wiki
Take the query results on this page and format them as a table for my team wiki or spreadsheet
Summarize this data request from the stakeholder thread and create a ticket with requirements and priority
Pull the pipeline freshness status for the data source referenced on this dashboard and summarize any delays
Summarize the data tickets completed this sprint from my project tracker and draft a weekly status update for stakeholders

Watch PixieBrix in action

Frequently Asked Questions

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.

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.

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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