About DataHub
DataHub is a context management platform that helps technical data teams understand where their data comes from, how it moves, who uses it, and how it changes across the modern data stack.
Its core users are data engineers and data platform teams working with tools like DBT, Airflow, Spark, Snowflake, AWS, and Kafka.
Results at a Glance - 2026 Q1
- $1.01M in pipeline generated from Reo.Dev-signaled accounts in Q1
- 18% of outbound pipeline influenced by Reo.Dev-signaled accounts
- 15 meetings booked from Reo.Dev-signaled accounts
- 7% of all Q1 SQLs came from Reo.Dev-signaled accounts
The Challenge
DataHub had strong open-source adoption across the market, but the GTM team lacked visibility into which users and companies were moving toward a commercial conversation.
Before Reo.Dev, DataHub primarily relied on tools like Common Room, GitHub activity, Slack engagement, and Mixpanel telemetry to understand user behavior. But connecting those signals into actionable GTM workflows remained a challenge.
“Before, the information was sitting mostly in engineering. It was hard to really get a read on how we could use that information.” - Waccara Yeomans, Director of Demand Generation, DataHub
The team was trying to answer two important questions:
- Which open-source users are actually showing signs of buying intent?
- Who are the real champions and buyers inside these organizations?
Without that visibility, it was difficult to identify the right accounts to prioritize and the right moment to engage them.
How DataHub Uses Reo.Dev
Today, DataHub uses Reo.Dev across marketing, BDR, and sales workflows to make developer activity actionable for go-to-market teams.
1. Prioritizing OSS-to-Cloud Conversion:
DataHub's primary GTM motion is converting open-source users into Cloud customers.
Reo.Dev helps the team identify which OSS accounts are actively engaging with the product and prioritize outreach based on real usage signals.
Rather than reaching out to every open-source account on a fixed cadence, BDRs focus on accounts showing meaningful activity and momentum.
"It's shifted our outreach from spray-and-pray to timing-based." - Lydia Hutchison, Head of Business Development, Datahub
The team pays particular attention to signals such as:
- Deployment activity
- Contributor behavior
- Account-level usage trends
These signals help identify when an account has moved beyond evaluation and start operationalizing DataHub internally because that is exactly when they start to feel the pain that Cloud solves.
2. Personalizing Marketing and ABM Campaigns:
One of the first workflows the team built was identifying companies actively exploring DataHub’s platform and automatically syncing those accounts into LinkedIn advertising audiences.
“If they’re in an enterprise company and starting to dabble with our product, they’re automatically synced to all of my LinkedIn ads.” - Waccara Yeomans, Director of Demand Generation, DataHub
This gave the marketing team a way to continuously nurture technically engaged accounts with more relevant messaging.
The team also uses Reo.Dev data to organize accounts based on the technologies they use.
For example:
- AI-native companies using tools like Claude and Cursor
- Modern data infrastructure teams using DBT, Kafka, and Airflow
This allows DataHub to personalize messaging based on the specific workflows and problems each segment was likely facing.
“We can solve different problems for different kinds of organizations.” - Wacarra Yeomans, Director of Demand Generation at Datahub
3. Enabling More Contextual Sales Outreach
Reo.Dev signals help DataHub's sales team prioritize outreach and quickly understand account activity.
Instead of relying solely on static ICP criteria, reps can see what technologies an account uses, how it is engaging with the product, and which signals indicate growing interest.
One of the most adopted workflows internally has been Reo.Dev Copilot. The sales team uses Copilot summaries to synthesize account activity and build outbound messaging.
BDRs use the summaries inside Claude to generate outbound sequences, while AEs use them for account research and planning.
What outcomes has Datahub achieved with Reo.Dev?
In Q1 alone, Reo.Dev-signaled accounts contributed:
- $1.01M in new pipeline
- 15 meetings booked
- 7% of all qualified leads (SQLs)
- 18% of outbound pipeline generated
Beyond pipeline generation, Reo.Dev has helped DataHub identify high-intent open-source accounts, refine its ICP, personalize outreach, and focus seller attention on accounts showing meaningful engagement.
"The visibility has just been huge. There's no way we would have known all the information about the companies and people using our product if we hadn't had Reo.Dev. We were pretty much flying blind before." - Waccara Yeomans, Director of Demand Generation, DataHub
