for Analytics & BIHead of Analytics · Data Lead

The dashboard that answers back.

Stop building dashboards no one reads. KnitStack joins BigQuery, GA4, Stripe and your ERP, then answers cross-system questions in plain English — with the SQL exposed for trust.

See KnitStack answer your questions ↓Join the waitlist →

— the Analytics & BI stack —

8 integrations, knitted together.

— what you're stuck doing today —

The work that eats Friday afternoon.

01Every department asks the same questions in different ways
02Dashboards stale within a week of building them
03SQL bottleneck — one analyst, many requesters
04Cross-system metrics need 3 SQL joins and a prayer

— what KnitStack does instead —

Ask in plain English. Get the work done.

01prompt

"Compare gross margin by product line — join Shopify orders with NetSuite cost data."

— what you get back —

Cross-system join executed, margin chart by product line, anomalies flagged inline, full SQL shown for review.

02prompt

"What's our blended CAC across all paid channels this quarter?"

— what you get back —

One number, breakdown by channel, source SQL — and a saved query you can re-run weekly without rebuilding the dashboard.

03prompt

"Alert me when MRR drops more than 5% week-over-week."

— what you get back —

Live alert wired into Slack with the contributing accounts already named, the pipeline triggered automatically.

— ask KnitStack —

Plain English in. Real work out.

Below are real prompts. KnitStack reads across your stack, decides which agent runs, executes with your approval, and writes the result back to the tool of record.

— you, 9:14 AM —

"Compare gross margin by product line — join Shopify orders with NetSuite cost data."

KKnitStackrunning across 3 systems done

stack:

BigQuery

ShopifyNS NetSuite

— what you got back —

Cross-system join executed, margin chart by product line, anomalies flagged inline, full SQL shown for review.

— continue with —

— you, 11:02 AM —

"What's our blended CAC across all paid channels this quarter?"

KKnitStackrunning across 4 systems done

stack:

Looker

GA4

Meta Ads

Google Ads

— what you got back —

One number, breakdown by channel, source SQL — and a saved query you can re-run weekly without rebuilding the dashboard.

— continue with —

— you, 2:38 PM —

"Alert me when MRR drops more than 5% week-over-week."

KKnitStackrunning across 3 systems done

stack:

Snowflake

Slack

Stripe

— what you got back —

Live alert wired into Slack with the contributing accounts already named, the pipeline triggered automatically.

— continue with —

— what you can ask —

A command palette for your business.

K⌘ K

9 of 9 actions

› Analytics prompt
"blended CAC across all paid channels this quarter"
→
› Warehouse prompt
"compare gross margin by product line — Shopify × NetSuite"
NS→
› Alerts prompt
"alert me when MRR drops more than 5% week-over-week"
→
› ERP prompt
"top 10 products by revenue stonefruit erp last 30 days"
NS→
› ERP prompt
"outstanding AR Diamondnexus erp"
NS→
› Pipelines prompt
"trigger the daily sales digest pipeline"
→
› Drafts prompt
"create a google sheet with columns: SKU, units, margin"
→
› General prompt
"explain what a Redis pub/sub channel is"
no integrations→
› Slack prompt
"summarize the last 20 messages in #analytics"
→

a day

— a Analytics & BI day —

From morning standup to Friday wrap.

A glimpse of how KnitStack threads through your day. Six real prompts, six different agents, six tools touched — without you switching tab once.

8:42 AMmorning coffee
Analyticsrunning across 3 systems
"blended CAC across all paid channels this quarter"
stack:
10:15 AMstandup follow-ups
Warehouserunning across 3 systems
"compare gross margin by product line — Shopify × NetSuite"
stack:NS
11:50 AMpre-lunch sweep
Alertsrunning across 3 systems
"alert me when MRR drops more than 5% week-over-week"
stack:
2:08 PMafternoon dig
ERPrunning across 1 systems
"top 10 products by revenue stonefruit erp last 30 days"
stack:NS
3:47 PMbefore close
ERPrunning across 1 systems
"outstanding AR Diamondnexus erp"
stack:NS
5:11 PMFriday wrap
Pipelinesrunning across 1 systems
"trigger the daily sales digest pipeline"
stack:

pipelines

— pipelines for Analytics & BI —

Wire up the work, once.

Pipelines turn one prompt into a chained workflow that runs on a schedule, an event, or an inbound message. KnitStack reads from one tool, decides with AI, writes to another, and tells you it did.

One pipeline shown three ways below — pick the visualisation that lands best for you.

Alert

MRR Drop Alert

trigger · Weekly · Monday 6:00 AM

Weekly: queries the warehouse for MRR trend. If WoW drops more than 5%, names the contributing accounts and pings finance + CS.

Snowflake

Query MRR by cohort + segment

Knitstack AI

Detect anomaly vs. last week

Stripe

Pull contributing churn detail

Slack

Post to #data-alerts

Gmail

Email finance + CS leads

tags:snowflakealertmrrweekly

— a Knitstack recipe —

MRR Drop Alert

Alert

— method —

01
Query MRR by cohort + segment
via Snowflake
02
Detect anomaly vs. last week
via Knitstack AI
K
03
Pull contributing churn detail
via Stripe
04
Post to #data-alerts
via Slack
05
Email finance + CS leads
via Gmail

— what you get —

Weekly: queries the warehouse for MRR trend. If WoW drops more than 5%, names the contributing accounts and pings finance + CS.

Alert · live run

MRR Drop Alert

total · 4.2s end-to-end

Weekly: queries the warehouse for MRR trend. If WoW drops more than 5%, names the contributing accounts and pings finance + CS.

08:00:02
+0s
Query MRR by cohort + segment
Snowflake
done
08:00:04
+2s
K
Detect anomaly vs. last week
Knitstack AI
done
08:00:07
+3s
Pull contributing churn detail
Stripe
done
08:00:08
+1s
Post to #data-alerts
Slack
done
08:00:10
+2s
Email finance + CS leads
Gmail
done

output:delivered to Slack + Gmail

— featured for Analytics & BI —

The tools you already use.

See all integrations →

BigQuery
Query the data warehouse in plain English
Snowflake
Warehouse-native AI queries
Databricks
Unified analytics over lakehouses
Looker
Read and explain dashboards
GA4
Web analytics and attribution
Mixpanel
Product analytics queries
Stripe
Match payouts to deposits, flag mismatches
HubSpot
Read contacts, deals, attribution

— a small ritual —

Connect. Ask. It acts.

✓ 4 tools connected

Plug in the stack you already use.

OAuth into the tools you have. KnitStack reads your data, learns your business, and waits for instructions. No migration.

●"Show me every Bill.com invoice that hasn't cleared QuickBooks."

Talk to your business in English.

"Show me every Bill.com invoice that hasn't cleared QuickBooks." "Draft Monday's growth update." Ask anything across every system.

✓Books reconciledQuickBooks · Bill.com · Stripejust now

✓Follow-up sent7 vendor emails via Gmail2m ago

◷PO draft readyAwaiting your approval →Review

It executes — with your blessing.

Reconcile the books. Send the follow-up. Draft the PO. KnitStack writes back into your tools; you stay in control.

— from the field —

"We retired four dashboards last month because nobody needed them anymore — they just ask Knitstack."

— Beta customer · SaaS scaleup

— also useful for —

Adjacent teams.

— for Finance

Ready to answer your questions?

Join the waitlist. Be first to plug in your tools, ask a question, and watch your business answer.

The dashboard that answers back.

The work that eats Friday afternoon.

Ask in plain English. Get the work done.

Plain English in. Real work out.

A command palette for your business.

From morning standup to Friday wrap.

Wire up the work, once.

MRR Drop Alert

MRR Drop Alert

MRR Drop Alert

The tools you already use.

Connect. Ask. It acts.

Plug in the stack you already use.

Talk to your business in English.

It executes — with your blessing.

Adjacent teams.

Close the books in days, not weeks.

One growth view. One Monday morning.

Inventory that watches itself.

Run your inbox. Reclaim your calendar.

Ready to answer your questions?