NotebookPipeline
Weekly pipeline reports on autopilot
Build the GTM review once in a collaborative notebook, then schedule it as a pipeline so the weekly pipeline recap lands in your team's inbox every Monday.
Talk to your CRM, campaigns and pipeline, build internal tools, deploy dashboards and automate weekly GTM reports — all from one platform connected to the tools your revenue team already uses.
See how it worksQuery CRM, campaigns and attribution data in plain language
From notebook to dashboard for marketing, sales ops and GTM teams
Schedule pipeline reviews, campaign recaps and lead-scoring refreshes
From asking a question to shipping a weekly GTM dashboard, MINEO covers the full journey — connected to the CRM, campaigns and pipeline data your revenue team already uses.
Connect any datasource — HubSpot, Salesforce, campaign exports, ads spend, attribution — and start asking questions in natural language. Threads auto-generates SQL, runs code, and delivers answers with interactive charts and tables. Build custom AI assistants with the model of your choice.
Threads · Revenue analysis { "tool": "salesforce-mcp", "action": "create_task", "summary": "Create follow-up tasks for the 15 stalled enterprise accounts" }
via salesforce-mcp · just now
More than Jupyter. MINEO Notebooks combine code, AI assistant cells, interactive widgets and visual tools in one collaborative environment. Perfect for marketing analysts, sales ops and GTM teams — write Python, explore your pipeline, and deploy as live apps from the same notebook.
File View Block Kernel Help 
Compare pipeline evolution across segments and campaign sources.
df = mineo.query("SELECT segment, SUM(amount) FROM opportunities GROUP BY segment")
px.bar(df, x="segment", y="amount", title="Q4 Pipeline")
Key insight: North America drives 43% of total revenue. APAC showed the strongest growth at +23% QoQ, driven by expansion in Japan and Australia.
df.sort_values("revenue", ascending=False).head()
| Region | Revenue | Growth |
|---|---|---|
| North America | $1.8M | +12% |
| Europe | $1.1M | +8% |
| APAC | $820K | +23% |
| LATAM | $480K | -3% |
Turn notebooks into always-on dashboards and interactive applications for pipeline reviews, campaign performance, attribution and lead scoring. Deploy with Streamlit, Gradio, Dash and 6+ more frameworks. Custom domains, white-label branding and embeddable visualizations — ready for your GTM stakeholders.
Mineo · Revenue dashboard Last updated: 2 minutes ago
Pipeline
$8.4M
+24% vs Q3
Qualified leads
2,318
+17% vs Q3
Win rate
27%
-2% vs Q3
| Customer | Region | Revenue | Status |
|---|---|---|---|
| Acme Corp | NA | $245K | Active |
| TechFlow GmbH | EU | $182K | Active |
| Sakura Ltd | APAC | $156K | Pending |
| DataBr SA | LATAM | $98K | Active |
A complete Linux development environment accessible from your browser. Install any package, any tool — Claude Code, Codex, Gemini CLI. Build your lead-scoring and attribution models with the libraries you trust, connect to your datasources and collaborate with your team. No local setup required.
VS Code — Dev Environment Explorer
import streamlit as st
from mineo import DataSource
import plotly.express as px
st.set_page_config(layout="wide")
st.title("Revenue Dashboard")
ds = DataSource("revenue_db")
df = ds.query("SELECT * FROM opportunities")
# Layout
col1, col2 = st.columns(2)
col1.metric("Pipeline", f"${df.amount.sum():,.0f}")
col2.metric("Deals", f"{df.opportunity_id.nunique():,}")
# Charts
fig = px.bar(df, x="month", y="amount", color="segment")
st.plotly_chart(fig, use_container_width=True)
mineo-dev@workspace:~/project$
Successfully installed plotly-5.22 scikit-learn-1.5
Your app is live at https://revenue-dashboard.mineo.app
✓ Deployed successfully
Chain notebooks into production workflows. Schedule recurring runs with cron, trigger via REST API, and monitor execution in real time. From weekly pipeline reviews to lead-scoring refreshes — build reliable workflows without infrastructure overhead.
/ Projects / revenue / Weekly revenue review Elements
Resource Config
Scheduling
API
The biggest unlocks come when MINEO's building blocks share the same logic — the same notebook becomes a weekly pipeline report, a self-serve campaign dashboard, or an answer in a Threads conversation.
Build the GTM review once in a collaborative notebook, then schedule it as a pipeline so the weekly pipeline recap lands in your team's inbox every Monday.
Marketers query campaign performance conversationally with Threads while sales ops gets the same numbers in an always-on Live App dashboard.
Prototype the lead-scoring model in a Cloud Dev Environment, refine it in a notebook with the team, and ship it as an internal Live App without rewriting.
Use MINEO to talk to your pipeline, build internal tools, deploy campaign dashboards and automate weekly GTM reports — all from the same workspace.