What it is
What it does
An open-source data notebook aimed at analytics engineering workflows, allowing each cell to be promoted to a dbt model and supporting python and prql.
Problem
Enables querying across different databases without ETL processes.
Who pays
Analytics engineers
Competition
The niche may be emerging but specific competition details are not provided; thus it's uncertain.
Weaknesses
Lack of community engagement (0 comments)
What could be built instead
Opportunity
Enhance community interaction and support for broader analytics engineering workflows.
Vertical niche
Vertical SaaS can be developed for analytics engineering.
MVP
A simple open-source notebook for analytics engineering.
Differentiation
The integration of federated queries and support for multiple programming languages.
AI opportunity
AI can provide insights from the federated queries across databases.