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PLG dashboard live appPM
Weekly signups128k+12%
Activated41%+6%
At risk742-18%
Pipeline by segmentlast 30 days
Enterprise47 accounts
Startup31 accounts
Self-serve92 accounts
published · shared with revenue team
Churn analysisDA
SQL
SELECT variant, churned_30d
FROM ab.assignments a
JOIN events.churn c USING (user_id)
churn rate · 30d
control
4.2%
treatment
7.8%
✦Deepnote AIinsight
Treatment users skipped onboarding 2.4x more often. Segment by first-session length before shipping.
add follow-up cellexplain drivers
top drivers
tutorial_skipped
+0.34
no_team_invite
+0.21
first_session < 2m
+0.14
treatment +85% vs control
Fraud detection agentJJ
✦summarize and cancel fraudulent transactions by country
planning next steps
↓ generated 4 blocks
SQLflag_fraud_txns
SELECT txn_id, country, amount FROM txns
WHEREfraud_score > 0.8
PYtrain fraud_detector.pt
ep 010.412
ep 030.187
ep 050.064
DEPLOYfraud_detector → live
▲deepnote.com/api/v1/fraud-detector
postscoring 1.2k txns / seclive
CHARTcard cancellations by country
BR
NG
RU
4 cells · query → train → deploy → visualize
Cursorproject: revenue-app
user
why is March revenue down 12%?
agent
let me check the canonical revenue breakdown skill
⚙ tool_call
deepnote.run(
skill = "revenue_breakdown",
period = "2026-03"
)
project · 4 vCPU · 8 GB
← returned notebook
revenue_breakdown_2026_03.deepnote
4 cells · trace #4729
Visual Studio Codechurn_analysis.deepnote
1import deepnote as dn
2
3df = dn.query("SELECT …")
4df.groupby('cohort').agg(…)
5
6fig = px.line(df, x='week', y='retention')
7dn.publish(fig, name="churn-cohorts")
⌘⇧Pcommand palette
>Deepnote: Open in Cloud
>Deepnote: Run as Skill
>Deepnote: Schedule Notebook
✓kernel state14 MB
✓packages47
✓env vars6
✓files3
→ opening at deepnote.com/workspace/…
Claude Code~/revenue-investigation
██████╗ ██╗ █████╗ ██╗ ██╗ ██████╗ ███████╗ ██╔════╝ ██║ ██╔══██╗ ██║ ██║ ██╔══██╗ ██╔════╝ ██║ ██║ ███████║ ██║ ██║ ██║ ██║ █████╗ ██║ ██║ ██╔══██║ ██║ ██║ ██║ ██║ ██╔══╝ ╚██████╗ ███████╗ ██║ ██║ ╚██████╔╝ ██████╔╝ ███████╗ ╚═════╝ ╚══════╝ ╚═╝ ╚═╝ ╚═════╝ ╚═════╝ ╚══════╝ ██████╗ ██████╗ ██████╗ ███████╗ ██╔════╝ ██╔═══██╗ ██╔══██╗ ██╔════╝ ██║ ██║ ██║ ██║ ██║ █████╗ ██║ ██║ ██║ ██║ ██║ ██╔══╝ ╚██████╗ ╚██████╔╝ ██████╔╝ ███████╗ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝
user"investigate march revenue dip — return a notebook"
claude
spinning up a deepnote project & pulling the canonical revenue skill
$deepnoteproject create--from-skillrevenue_breakdown
✓ project prj_8f21 · python 3.12 · 4 vCPU · 8 GB
$deepnoterun--cell"join_orders_with_refunds"
✓ 1.4s · 2,184 rows · warehouse:
snowflake/prod
$deepnotenotebook publish--shareteam
✓ deepnote.com/n/march-revenue-dip
← handed back
march_revenue_dip.deepnote
7 cells · trace #c12a · ran in 4.3s
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Loved by a community of 500,000+ data professionals
Deepnote gets us from raw SQL to polished visuals instantly, so we can focus on delivering real business value, rather than tweaking charts.
Melvin Low
MLOps platform engineer
Implementing Deepnote was as easy as connecting to BigQuery, and analysts were quickly using Deepnote as their preferred tool for analytics.
Brian Doherty
Principal Data Analyst
Deepnote has revolutionized our data analysis workflow, enabling our teams to deliver insights in a fast collaborative manner.
Guy Yarkoni
Head of Analytics & BI
Collaborative data analysis where team members can freely share their work and get feedback… This made the analysis workflow much faster.
Khanh Nguyen
Data Analyst
It always surprises stakeholders how fast we work with Deepnote. We discuss something in the morning and we have results to share in the same afternoon.
Thom Hopmans
Senior ML Engineer
I just love how SQL is now a first-class citizen in Deepnote notebooks! 🔥 It is SO easy to query databases!
Charly Wargnier
Developer
Deepnote has become our go-to solution for data science, abstracting away all the infrastructure complexities we previously faced.
Maximilian Strauss
Co‑founder & CTO
We needed a way to instantly dive into data, collaborate seamlessly, and build reusable analytical templates. Deepnote checked all those boxes.
Timothy Chan
Head of Data
At 96 out of top 100 universities
Used by the next generation of data analysts and data scientists.
Deepnote was incredibly easy to set up and allows us to start new notebooks in seconds. Working together with Deepnote gives us a great window into the ways candidates approach the interview problem.
Becca Carter
Head of Data Science
I just swapped my Jupyter workflow for Deepnote, now open source and fully Apache 2.0. Think of Deepnote as Jupyter, but with SQL, AI, and multiplayer mode, among other handy features.
Lior Alexander
CEO
Deepnote gets us from raw SQL to polished visuals instantly, so we can focus on delivering real business value, rather than tweaking charts.
Melvin Low
MLOps platform engineer
Implementing Deepnote was as easy as connecting to BigQuery, and analysts were quickly using Deepnote as their preferred tool for analytics.
Brian Doherty
Principal Data Analyst
Deepnote has revolutionized our data analysis workflow, enabling our teams to deliver insights in a fast collaborative manner.
Guy Yarkoni
Head of Analytics & BI
Collaborative data analysis where team members can freely share their work and get feedback… This made the analysis workflow much faster.
Khanh Nguyen
Data Analyst
It always surprises stakeholders how fast we work with Deepnote. We discuss something in the morning and we have results to share in the same afternoon.
Thom Hopmans
Senior ML Engineer
I just love how SQL is now a first-class citizen in Deepnote notebooks! 🔥 It is SO easy to query databases!
Charly Wargnier
Developer
Deepnote has become our go-to solution for data science, abstracting away all the infrastructure complexities we previously faced.
Maximilian Strauss
Co‑founder & CTO
We needed a way to instantly dive into data, collaborate seamlessly, and build reusable analytical templates. Deepnote checked all those boxes.
Timothy Chan
Head of Data
At 96 out of top 100 universities
Used by the next generation of data analysts and data scientists.
Deepnote was incredibly easy to set up and allows us to start new notebooks in seconds. Working together with Deepnote gives us a great window into the ways candidates approach the interview problem.
Becca Carter
Head of Data Science
I just swapped my Jupyter workflow for Deepnote, now open source and fully Apache 2.0. Think of Deepnote as Jupyter, but with SQL, AI, and multiplayer mode, among other handy features.
Lior Alexander
CEO