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DataLabs.store · AI Context Bridge

HubSpot runs your entire revenue operation.
DataLabs.store gives it an analytics layer.

Pipeline weighted by real stage odds. Win rate by stage. Deals ageing past 90 days. The deep analytics that need a relational engine — answered in plain English through Claude or ChatGPT, with the query to prove every number.

SELECT D.dealstage, SUM(D.amount * S.probability) FROM DEAL D JOIN DEALSTAGE S … HubSpot Breeze: "Reports cannot be created using multiple objects." DataLabs.store: one query, 0.8s — here's your weighted leaderboard, SQL attached.
The analytics your team has been asking for
#1 → #6
Pipeline weighted by close odds

The top rep by raw pipeline ($2.38M) is sixth once weighted by real stage odds. A six-deal rep quietly carries the biggest book at $979K.

10% → 0%
Forecast calibrated to your history

A stage configured at 10% probability has a real win rate of 0% across 27 deals. Four data points from your own history — a more accurate forecast number immediately.

72% / 93%
Revenue and logos tell different stories

Enterprise is 72% of your logos but 93% of ARR. A logo dashboard and a revenue dashboard look completely different — both are true.

The difference isn't the AI. It's what the data layer lets it do.

HubSpot Breeze

Breeze handles operational questions on a single object beautifully, and even generates SQL for its reports. For analysis that spans several objects — joins, CTEs, window functions, weighted ratios — a report reads one object at a time, so it stitches separate results together rather than joining them.

"Reports cannot be created using multiple objects."
Claude + DataLabs.store

Your portal replicated into real SQL. The AI writes the join, runs it on live data, explains the result — and shows you the query — then follows up the moment you do.

The full leaderboard, in under ten seconds.
See in Action
Prefer the raw database?

DataSync for HubSpot to SQL Server

The same full replication, delivered as a Microsoft SQL database you own — wire it straight into Power BI, Looker, or Excel. The AI Context Bridge is built right on top of it.

Explore DataSync