Other
Mar 2025Public profile data showed a material headcount decline (18 employees, -47.1% YoY) and a recent departure of senior operations/revenue operations leadership.
SourceCompany research
Public company, workplace, funding, and market signals
Updated Aug 16, 2026
Overview
Deepnote is an AI-native collaborative data workspace and notebook platform for data science, analytics, and building shareable data apps/dashboards. It combines Python, SQL, visualizations, integrations, scheduling, and AI-assisted analysis in one workspace.
Primary product
Deepnote collaborative data notebook / AI data workspace
Founded
2019
Headquarters
San Francisco, United States
Team size
11-50
Work style
Remote
Industry
Software Development
Sub-industry
Data science / analytics notebook SaaS
Offices
San Francisco, California, United States
575 Market Street, San Francisco, 94105, United States
Prague, Prague, Czechia
Business model
subscription SaaS
usage-based compute
enterprise plans
Funding
People & investors
Work & culture
Publicly described as collaborative, product-led, and AI-forward. Recent company writing emphasizes human-and-agent collaboration, shipped product features quickly, and a focus on sharing analytical work as reusable, governed artifacts.
Work style
Remote
Compensation
Public evidence is limited. One open role found (Senior Business Development Executive, B2B SaaS), but no salary details were visible in the sources reviewed. Deepnote’s public changelog also mentions a Pro plan starting at $9/month for individuals and paid/enterprise plans for teams.
Product & market
Pricing
Freemium / per-editor subscription pricing plus enterprise contact-sales pricing; public evidence also shows a Pro plan starting at $9/month and an editor plan at $39/month, with enterprise pricing via contact sales.
Differentiators
- —AI-native notebook/workspace that blends code, SQL, narrative, and visualizations
- —Shared semantic/context layer for agents and humans
- —Notebook-to-app/dashboard publishing
- —Strong integrations and MCP-based connectivity
- —Collaboration and permissions built into the workflow
- —Focus on making notebooks reusable, governed, and production-ready
Technology
Python
SQL
TypeScript
React
Node.js
PostgreSQL
Redis
Docker
Kubernetes
Terraform
Grafana
Prometheus
Sentry
CircleCI
Argo CD
OpenAI
Webflow
HubSpot
Google Analytics
Customers
Data teams and analysts
Businesses using collaborative analytics and data science workflows
Competitors
Jupyter
Hex
Mode
Databricks notebooks
Google Colab
DeepSource
Scale & contact
Estimated revenue
$1M-$10M (public estimate; exa profile specifically shows about $3.5M annual revenue)
Estimated monthly visits
192.9K
Traffic estimate as of Jun 2026
Signals & risks
Other
Mar 2025Public profile data showed revenue around $3.5M with employee count around 18, which is small for a company with $23.9M raised; not a risk event, but a scale signal.
SourceLatest news
Deepnote · Aug 2026
Deepnote introduced Agent Workspace, positioning the product as a shared environment where people and agents work on data tasks together and publish hosted apps.
Deepnote changelog · Jun 2026
The changelog reiterates the Codex integration and explains that Codex can search, read, run, and write to Deepnote workspaces within user permissions.
Deepnote · Jun 2026
OpenAI’s Codex data analytics plugin added native Deepnote connectivity, showing Deepnote’s push into agentic analytics and MCP-based workflows.
Deepnote · May 2026
Deepnote argues that notebooks already function as a governed context layer for AI agents and analytics work.
Deepnote · Mar 2026
A technical blog post showing Deepnote’s engineering practices, use of AI tools, and product/codebase complexity.
Jobs and careers at Deepnote
3 jobs at Deepnote
Technical Writer
On-site
Growth
Prague
6mo ago
On-site
Part-time
Account Executive
On-site
Sales
San Francisco
2y ago
On-site
Full-time
Full Stack Engineer
Remote
Engineering
Remote
2y ago
Remote
Full-time