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Agentic data notebooks
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packages
files
variables
scheduled-runs
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SQL cell
quarterproduct_lineregioncustomer_sectorrevenue_usd
0Q3-2025Teleportation padsCore WorldsDefense18200000
1Q3-2025Quantum drivesCore WorldsDefense16500000
2Q3-2025Wormhole initiatorsCore WorldsDefense14800000
Revenue Trends by Product Line (Q1-Q3)
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40
30
20
10
0
Q1
Q2
Q3
Python cell
Account Revenue vs Growth (Q3)
25
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5
0
0
10
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Python cell
Galactic Revenue Distribution by Product Line (Q3)
Teleportation pads
Quantum drives
Wormhole initiators
Dark matter lasers
Temporal stabilizers
Anti-gravity generators
0%
20%
40%
60%
80%
100%
Python cell
Sector Revenue Mix by Product Line (Q3)
Teleportation pads
Quantum drives
Wormhole initiators
Dark matter lasers
Temporal stabilizers
Anti-gravity generators
0
20%
40%
60%
80%
100%
magicAgent
History
/NexaCorp Revenue Insights
plus
close-small
Can you show me NexaCorp's Q3 sales by product line?
I'll help you analyze NexaCorp's revenue by product line. I'll pull data from Q1-Q3 so you can compare trends over the last few quarters and see how Q3 fits into the broader pattern.
chevron-downThought for 23 seconds

NexaCorp revenue trends by product line

Here's what I found in the "nexacorp_sales" tables (powered by the Galactic Sales semantic model):

  • Teleportation pads$42.3M
  • Quantum drives$38.7M
  • Wormhole initiators$33.1M
  • Dark matter lasers$28.6M
  • Temporal stabilizers$21.8M
  • Anti-gravity generators$11.2M
chart
Created Revenue by Product Line Over Time (Q1-Q3)
chart
Created Account Revenue vs Growth (Q3)
I also created a chart showing revenue vs growth. Let me know if you'd like to break this down by region or customer sector.
Can you break this out by region too? I want to see how each product line performed across the Core Worlds, Mid-Rim, and Outer Rim.
I'll help you analyze NexaCorp's Q3 revenue by product line and region. Let me search for the most relevant data source.
chevron-downThought for 11 seconds
I found regional revenue data in the endorsed semantic model "NexaCorp: Galactic Sales Model." This model contains standardized region definitions (Core Worlds, Mid-Rim, Outer Rim) and pre-calculated revenue metrics, which is the best source for your question.

Let me create a grouped bar chart so you can compare regions within each product line:
chart
Created Galactic Revenue Distribution by Product Line (Q3)
Quick insight: Core Worlds lead revenue for Teleportation pads and Quantum drives, while Wormhole initiators see a stronger mix from the Outer Rim.
Can you also show how revenue breaks down by customer sector?
I'll help you analyze NexaCorp's Q3 revenue by product line and customer sector. Let me search for the most relevant data source.
chevron-downThought for 17 seconds
I found customer sector data in the same NexaCorp: Galactic Sales Model. This includes standardized sector definitions (Defense, Commercial, Research, Government) and pre-calculated revenue metrics.

Let me compute the sector mix for each product line so you can compare buyer patterns.
chart
Created Sector Revenue Mix by Product Line (Q3)
Quick insight: Defense drives most high-value product-line revenue, while Research over-indexes for Anti-gravity generators and Wormhole initiators.
plus
NexaCorp Galactic Warehousechevron-down
enter
Conversational self-serve
Can you show me NexaCorp's Q3 sales by product line?
I'll help you analyze NexaCorp's revenue by product line. I'll pull data from Q1-Q3 so you can compare trends over the last few quarters and see how Q3 fits into the broader pattern.
chevron-downThought for 23 seconds

NexaCorp revenue trends by product line

Here's what I found in the "nexacorp_sales" tables (powered by the Galactic Sales semantic model):

  • Teleportation pads$42.3M
  • Quantum drives$38.7M
  • Wormhole initiators$33.1M
  • Dark matter lasers$28.6M
  • Temporal stabilizers$21.8M
  • Anti-gravity generators$11.2M
Revenue by Product Line Over Time (Q1-Q3)
exploreExplore
50
40
30
20
10
0
Q1
Q2
Q3
Account Revenue vs Growth (Q3)
exploreExplore
25
20
15
10
5
0
0
10
20
30
40
50
I also created a chart showing revenue vs growth. Let me know if you'd like to break this down by region or customer sector.
Can you break this out by region too? I want to see how each product line performed across the Core Worlds, Mid-Rim, and Outer Rim.
I'll help you analyze NexaCorp's Q3 revenue by product line and region. Let me search for the most relevant data source.
chevron-downThought for 11 seconds
I found regional revenue data in the endorsed semantic model "NexaCorp: Galactic Sales Model." This model contains standardized region definitions (Core Worlds, Mid-Rim, Outer Rim) and pre-calculated revenue metrics, which is the best source for your question.

Let me create a grouped bar chart so you can compare regions within each product line:
Galactic Revenue Distribution by Product Line (Q3)
exploreExplore
Teleportation pads
Quantum drives
Wormhole initiators
Dark matter lasers
Temporal stabilizers
Anti-gravity generators
0%
20%
40%
60%
80%
100%
Quick insight: Core Worlds lead revenue for Teleportation pads and Quantum drives, while Wormhole initiators see a stronger mix from the Outer Rim.
plus
NexaCorp Galactic Warehousechevron-down
enter
Beautiful data apps
Summary
Regions
Customer Sectors
Product Lines
$175.7M
Total Q3 Revenue
9.7% vs last quarter
Mid-Rim
Top Growth Region
4.1% vs last quarter
Commercial
Highest Revenue Sector
3.0% vs last quarter
Product Line
All
chevron-down
All product lines
Teleportation pads
Quantum drives
Wormhole initiators
Dark matter lasers
Temporal stabilizers
Anti-gravity generators
Region
All
chevron-down
All regions
Core Worlds
Mid-Rim
Outer Rim
Customer Sector
All
chevron-down
All customer sectors
Defense
Commercial
Research
Government
Quarter
Q3
chevron-down
All quarters
Q1
Q2
Q3
exploreExplore
Revenue by Product Line Over Time (Q1-Q3)
50
40
30
20
10
0
Q1
Q2
Q3
exploreExplore
Account Revenue vs Growth by Product Line
25
20
15
10
5
0
0
10
20
30
40
50
exploreExplore
Revenue Mix by Customer Sector
Teleportation pads
Quantum drives
Wormhole initiators
Dark matter lasers
Temporal stabilizers
Anti-gravity generators
0
20%
40%
60%
80%
100%
magicAgent
History
/New thread
plus
close-small
How did Commercial revenue perform in the Mid-Rim in Q3?
I’ll update the app to focus on that.
chevron-downThought for 17 seconds
  • Customer Sector → Commercial
  • Region → Mid-Rim

With those filters applied, the Revenue by Product Line Over Time (Q1–Q3) chart shows Commercial revenue in the Mid-Rim increasing through Q3, ending the quarter at its highest point in the time range.

You can switch Product Line to isolate what’s driving that growth, or change Quarter to compare against earlier periods.

plus
enter

Connected AI workflows
for every data question

Hex brings together technical and non-technical, quick questions and deep-dives, analyses and apps – with powerful AI agents that partner to do more with data.

Agentic data notebooks, for your most critical analyses

For in-depth work, Hex’s powerful, collaborative notebooks give you superpowers – with cells for code, queries, and viz - and a built-in agent that can help you go deeper, faster.

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"With Hex's Notebook Agent, I never have to build another chart again? What a dream come true."

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Molly Jane N. Senior Researcher
Notebook & App builder
data-sources
packages
files
variables
scheduled-runs
history
SQL cell
quarterproduct_lineregioncustomer_sectorrevenue_usd
0Q3-2025Teleportation padsCore WorldsDefense18200000
1Q3-2025Quantum drivesCore WorldsDefense16500000
2Q3-2025Wormhole initiatorsCore WorldsDefense14800000
Revenue Trends by Product Line (Q1-Q3)
50
40
30
20
10
0
Q1
Q2
Q3
Python cell
Account Revenue vs Growth (Q3)
25
20
15
10
5
0
0
10
20
30
40
50
Python cell
Galactic Revenue Distribution by Product Line (Q3)
Teleportation pads
Quantum drives
Wormhole initiators
Dark matter lasers
Temporal stabilizers
Anti-gravity generators
0%
20%
40%
60%
80%
100%
Python cell
Sector Revenue Mix by Product Line (Q3)
Teleportation pads
Quantum drives
Wormhole initiators
Dark matter lasers
Temporal stabilizers
Anti-gravity generators
0
20%
40%
60%
80%
100%
magicAgent
History
/NexaCorp Revenue Insights
plus
close-small
Can you show me NexaCorp's Q3 sales by product line?
I'll help you analyze NexaCorp's revenue by product line. I'll pull data from Q1-Q3 so you can compare trends over the last few quarters and see how Q3 fits into the broader pattern.
chevron-downThought for 23 seconds

NexaCorp revenue trends by product line

Here's what I found in the "nexacorp_sales" tables (powered by the Galactic Sales semantic model):

  • Teleportation pads$42.3M
  • Quantum drives$38.7M
  • Wormhole initiators$33.1M
  • Dark matter lasers$28.6M
  • Temporal stabilizers$21.8M
  • Anti-gravity generators$11.2M
chart
Created Revenue by Product Line Over Time (Q1-Q3)
chart
Created Account Revenue vs Growth (Q3)
I also created a chart showing revenue vs growth. Let me know if you'd like to break this down by region or customer sector.
Can you break this out by region too? I want to see how each product line performed across the Core Worlds, Mid-Rim, and Outer Rim.
I'll help you analyze NexaCorp's Q3 revenue by product line and region. Let me search for the most relevant data source.
chevron-downThought for 11 seconds
I found regional revenue data in the endorsed semantic model "NexaCorp: Galactic Sales Model." This model contains standardized region definitions (Core Worlds, Mid-Rim, Outer Rim) and pre-calculated revenue metrics, which is the best source for your question.

Let me create a grouped bar chart so you can compare regions within each product line:
chart
Created Galactic Revenue Distribution by Product Line (Q3)
Quick insight: Core Worlds lead revenue for Teleportation pads and Quantum drives, while Wormhole initiators see a stronger mix from the Outer Rim.
Can you also show how revenue breaks down by customer sector?
I'll help you analyze NexaCorp's Q3 revenue by product line and customer sector. Let me search for the most relevant data source.
chevron-downThought for 17 seconds
I found customer sector data in the same NexaCorp: Galactic Sales Model. This includes standardized sector definitions (Defense, Commercial, Research, Government) and pre-calculated revenue metrics.

Let me compute the sector mix for each product line so you can compare buyer patterns.
chart
Created Sector Revenue Mix by Product Line (Q3)
Quick insight: Defense drives most high-value product-line revenue, while Research over-indexes for Anti-gravity generators and Wormhole initiators.
plus
NexaCorp Galactic Warehousechevron-down
enter

Conversational analytics, for daily questions from your team

Threads makes it easy for anyone to get answers by just asking, or point-and-click using a full-featured visualization and BI experience. And it works great from Slack, or other tools like Claude and Cursor via MCPs.

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quote

"My favorite thing about Threads is that it writes out formulas for metrics and identifies any issues with the data...This is what I would expect an analyst would do."

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Hannah B. Data Product Manager
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@Hex can you show me NexaCorp's Q3 sales by product line?
☑️ 1
3 replies
Your question was sent to Hex! The answer will be posted here, but you can also follow along in Hex.
View in Hex

NexaCorp Q3 revenue trends by product line

Here's what I found in the “nexacorp_sales” tables (powered by the Galactic Sales semantic model):

  • Teleportation pads $42.3M
  • Quantum drives $38.7M
  • Wormhole initiators $33.1M
  • Dark matter lasers $28.6M
  • Temporal stabilizers $21.8M
  • Anti-gravity generators $11.2M
Revenue Trends by Product Line (Q1-Q3) (56 kB)
50
40
30
20
10
0
Q1
Q2
Q3
Let me know if you'd like to break this down by region or customer sector.
Threads
Can you show me NexaCorp's Q3 sales by product line?
I'll help you analyze NexaCorp's revenue by product line. I'll pull data from Q1-Q3 so you can compare trends over the last few quarters and see how Q3 fits into the broader pattern.
chevron-downThought for 23 seconds

NexaCorp revenue trends by product line

Here's what I found in the "nexacorp_sales" tables (powered by the Galactic Sales semantic model):

  • Teleportation pads$42.3M
  • Quantum drives$38.7M
  • Wormhole initiators$33.1M
  • Dark matter lasers$28.6M
  • Temporal stabilizers$21.8M
  • Anti-gravity generators$11.2M
Revenue by Product Line Over Time (Q1-Q3)
exploreExplore
50
40
30
20
10
0
Q1
Q2
Q3
Account Revenue vs Growth (Q3)
exploreExplore
25
20
15
10
5
0
0
10
20
30
40
50
I also created a chart showing revenue vs growth. Let me know if you'd like to break this down by region or customer sector.
Can you break this out by region too? I want to see how each product line performed across the Core Worlds, Mid-Rim, and Outer Rim.
I'll help you analyze NexaCorp's Q3 revenue by product line and region. Let me search for the most relevant data source.
chevron-downThought for 11 seconds
I found regional revenue data in the endorsed semantic model "NexaCorp: Galactic Sales Model." This model contains standardized region definitions (Core Worlds, Mid-Rim, Outer Rim) and pre-calculated revenue metrics, which is the best source for your question.

Let me create a grouped bar chart so you can compare regions within each product line:
Galactic Revenue Distribution by Product Line (Q3)
exploreExplore
Teleportation pads
Quantum drives
Wormhole initiators
Dark matter lasers
Temporal stabilizers
Anti-gravity generators
0%
20%
40%
60%
80%
100%
Quick insight: Core Worlds lead revenue for Teleportation pads and Quantum drives, while Wormhole initiators see a stronger mix from the Outer Rim.
plus
NexaCorp Galactic Warehousechevron-down
enter
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DATEAGENTPROMPTUSERROLETOPICWARNINGS
44 min agoNotebookHow did revenue change across the Outer Rim compared to last quarter?Luc PattonAdminRevenue by Product Line
1 hr agoThreadsWhich product lines saw the strongest Research-sector demand?Eels GulsenEditorSales BreakdownUser doubt
2 hrs agoModelingHelp me define measures and dimensions for the Core Worlds semantic model.Andrei LeesomExplorerSector Analysis
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Semantic Model Workbench
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Files
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galactic_sales
.yml
product_lines
.yml
M
regions
.yml
customer_sectors
.yml
rules
.yml
M
galactic_sales
.yml
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product_lines
.yml
M
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regions
.yml
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customer_sectors
.yml
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Beautiful data apps, dashboards, and explorations, for when you want to click around

Take your analysis, configure a UI, and publish with a click. With Hex, sharing is easy – and users can start new Threads right from your apps.

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Summary
Regions
Customer Sectors
Product Lines
$175.7M
Total Q3 Revenue
9.7% vs last quarter
Mid-Rim
Top Growth Region
4.1% vs last quarter
Commercial
Highest Revenue Sector
3.0% vs last quarter
Product Line
All
chevron-down
All product lines
Teleportation pads
Quantum drives
Wormhole initiators
Dark matter lasers
Temporal stabilizers
Anti-gravity generators
Region
All
chevron-down
All regions
Core Worlds
Mid-Rim
Outer Rim
Customer Sector
All
chevron-down
All customer sectors
Defense
Commercial
Research
Government
Quarter
Q3
chevron-down
All quarters
Q1
Q2
Q3
exploreExplore
Revenue by Product Line Over Time (Q1-Q3)
50
40
30
20
10
0
Q1
Q2
Q3
exploreExplore
Account Revenue vs Growth by Product Line
25
20
15
10
5
0
0
10
20
30
40
50
exploreExplore
Revenue Mix by Customer Sector
Teleportation pads
Quantum drives
Wormhole initiators
Dark matter lasers
Temporal stabilizers
Anti-gravity generators
0
20%
40%
60%
80%
100%
magicAgent
History
/New thread
plus
close-small
How did Commercial revenue perform in the Mid-Rim in Q3?
I’ll update the app to focus on that.
chevron-downThought for 17 seconds
  • Customer Sector → Commercial
  • Region → Mid-Rim

With those filters applied, the Revenue by Product Line Over Time (Q1–Q3) chart shows Commercial revenue in the Mid-Rim increasing through Q3, ending the quarter at its highest point in the time range.

You can switch Product Line to isolate what’s driving that growth, or change Quarter to compare against earlier periods.

plus
enter

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FAQ

What is Hex?
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Hex is the AI Analytics Platform for your whole team: a single, connected workspace where data practitioners run deep analysis, business users ask questions in plain language, and everyone collaborates on the same data. A shared context engine ensures every AI-generated insight is accurate and consistent.
What is an AI Analytics Platform?
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An AI Analytics Platform combines three capabilities in one connected system: AI agents for deep analysis, conversational self-serve so anyone can ask questions in plain language, and trusted data apps for sharing insights. The platform part is what matters: everything runs on shared context, so every answer is consistent and trustworthy, whether it comes from an analyst's notebook or a business user's question.
Who uses Hex?
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Hex allows anyone to get answers from data with AI. Whether you’re a member of the data team running code-based experiments or a business user looking to self-serve a one-off question, Hex provides tailored AI-workflows for you to find answers from data, faster.
Why do data teams switch to Hex?
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Data teams switch to Hex because it gives them one connected, AI-native workspace for everything they do with data. Deep analysis, one-off questions, and critical business dashboards all happen on the same trusted context. Instead of juggling separate notebooks, BI tools, and ad-hoc Slack requests, Hex brings data work & AI together in one place.
Can business users access data without knowing SQL or Python?
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Yes. Hex lets anyone ask questions in plain language in Hex, Slack, or via MCP and get AI-generated analysis backed by your actual data, metrics, and business rules. No SQL, no Python, no ticket to the data team. And when a question needs deeper investigation, a data practitioner can jump directly into the same workflow without switching context.
How does Hex ensure AI answers are accurate and trustworthy?
chevron-down
Hex's context engine combines database descriptions, semantic models, business rules, and analytical logic into one curated layer that powers every AI answer. Data teams can observe what's being asked, catch inconsistencies, and continuously improve context over time. The result: business users get answers they can act on, and data teams maintain visibility and control over every insight.
How is Hex different from traditional BI tools like Tableau or Looker?
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Traditional BI tools separate deep analytical work from reporting, meaning multiple tools and multiple sources of truth. Hex doesn't make that tradeoff. A complex model built by a data scientist can become an interactive app for business users with one click. When that app raises a new question, anyone can ask it in plain language using all the logic the analyst built. One platform, one shared context layer.
How is Hex different from just using ChatGPT or an AI assistant for data?
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Horizontal AI tools don't know your company's data, your business definitions, or your metrics. They generate plausible-sounding answers that may not reflect your actual numbers. Hex's AI is grounded in your real data, connected to your warehouse, and governed by your metric definitions and business rules. The resulting insights are specific, trusted, and consistent — and built to improve the more your team uses it.
How is Hex different than other AI Analytics platforms?
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Most AI analytics tools force you to choose between conversational self-serve or code-based analysis. Each runs on different context, produces different answers, and often requires copying and pasting underlying logic across tools just to validate what’s correct. Hex doesn’t just combine these workflows—it connects them. Whether you’re exploring with code in the Notebook or plain language in Threads, every answer is explainable, editable, reusable, and grounded in the same shared context.
How is Hex different than point solution analytics tools?
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Hex enables you to bring all your business’s critical data context into one workspace. Solution-specific analytics platforms exacerbate tool sprawl and siloed workflows between teams, while creating governance gaps leading to poor decisions and thrash.

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