Supaflow
ChatGPT plugin by Supaflow, LLC · ETL data pipelines & dbt core
Data updated · Last checked
In directory search?Position now, the last 7 days and the #1 result.
Listing check?What to fix in the listing and how much each item adds to the listing score (55/100; category leaders average 68).
-
!
0 / 30Put a search term in the name Search rank?Directory search ranks name matches first: 53% of top-3 results have the search term in the name. Searches for a brand name itself are not tracked.The name has none of the tracked search terms.7 of 20 category leaders do this
In ChatGPT conversations?How often ChatGPT mentions Supaflow when people ask common Data & Analytics questions.
About Supaflow
On the directory's Data & Analytics page Supaflow is #380 of 636. It joined the directory on Oct 13, 2026.
Build and run data pipelines directly in ChatGPT. Move data across SaaS apps, databases, data warehouses, and data lakes. Transform data using dbt Core™ models and sync data to your business apps with reverse ETL. Orchestrate pipelines, manage schedules, and troubleshoot issues—all through conversation.From the plugin’s directory listing
Try asking
Competitors?Plugins that show up in the same tracked searches as Supaflow.
No competitors yet.
In the directory
- Featured page
- Not on it
- Category page
- #380 of 636
- Same job
- 510 data & databases plugins
- Listed since
- Oct 13, 2026
Recent changes
More Data & Analytics plugins
Supaflow: questions and answers
What does Supaflow do?
ETL data pipelines & dbt core. Build and run data pipelines directly in ChatGPT. Move data across SaaS apps, databases, data warehouses, and data lakes. Transform data using dbt Core™ models and sync data to your business apps with reverse ETL. Orchestrate pipelines, manage schedules, and troubleshoot issues—all through conversation.
How do I use Supaflow in ChatGPT?
Install it from the ChatGPT plugin directory, then mention @Supaflow in a chat. Its listing suggests asking “Plan a Salesforce-to-Snowflake pipeline for Accounts and Opportunities, then ask me before creating it”, “Show me which pipelines failed in the last 24 hours, explain why, and recommend the next action” or “Run my HubSpot-to-Snowflake pipeline, monitor the job to completion, and summarize the outcome”.