Deepnote GTM brain

category

market profile

• text: Data teams need reproducible work that combines SQL, Python, collaboration, and communication with stakeholders.
• text: Data agents introduce additional requirements for permissions, reusable context and run traces.

personas

• title: Data scientist
  pains:

  • Local notebook environments are difficult to reproduce and share
  • Analyses require iteration with other scientists and business stakeholders
• title: Head of data or analytics
  pains:

  • Analytical work is siloed in individual notebooks
  • Must balance self-service analytics with access controls and auditability
• title: Data analyst
  pains:

  • Moving from raw SQL to stakeholder-ready visuals takes time
  • Metric definitions require feedback and alignment across teams

icp

• text: Data science and analytics teams in startups through enterprises, particularly fintech, biotechnology and technology businesses.
• text: Teams using Python and SQL across shared data sources that need collaboration, scheduled analysis or governed AI agents.

message pillars

• text: Bring people and agents together around shared data work.
• text: Move from notebook work to shared applications and dashboards.
• text: Collaborate on code and queries in real time.

objections

• objection: We already use Jupyter notebooks.
  response: Evaluate real-time editing, shared environments, apps and governance on a current notebook workflow; import and export of ipynb is supported.
• objection: Sensitive data cannot be exposed to everyone or moved outside our environment.
  response: Evaluate enterprise permissions, audit trails and available private deployment options against the organization's requirements.

competitors

• name: Hex
  why: Collaborative notebooks and data apps for analytics teams.
• name: Jupyter
  why: Widely used open notebook ecosystem and alternative starting point.
• name: Google Colab
  why: Hosted notebooks for Python and data science.
• name: Databricks
  why: Data platform offering collaborative notebooks and compute.

influencers

• name: Jakub Jurovych
  url: https://www.deepnote.com/about
  why: Founder and public advocate for collaborative data notebooks.

keywords

• collaborative data notebook
• Jupyter alternative
• SQL Python notebook
• data science collaboration
• publish notebook dashboard
• AI data agent workspace
• scheduled notebooks

voice

• Curious and builder-oriented
• Collaborative and accessible
• Product-led and practical

signals

• text: Data scientists are sharing notebooks as files or screenshots and need live collaboration.
• text: A data team wants governed agents and reusable analyses connected to its existing warehouse.

stack

• Python
• SQL
• Jupyter
• dbt
• LookML
• MCP

pricing

motion

channels

• SEO
• open source
• GitHub
• webinars
• customer case studies

confidence

Founders

• name: Jakub Jurovych
  title: Founder
  role: Founder