GoodData buying intent
5 tracked signals — top 3 topics below — Engineering is carrying most of it.
Attention by team
taxonomy_intent_rollup × social_profile.roleEvery tracked signal from a GoodData employee, placed by the team they sit in and the theme they engaged with. Darker means more concentrated attention.
Topics being researched
30-day windowAll tracked topics, ranked by signal volume. Confidence is the classifier's certainty that the signal belongs to this topic.
11d ago
22d ago
22d ago
Need intent for a specific topic or industry?
We track the full taxonomy across every account in the graph — including themes not shown on this page.
Who to contact at GoodData
verified title on filePeople at GoodData whose own activity produced these signals. Names are withheld pending a consent decision; titles, seniority and topic are real and free to browse.
Top accounts researching GoodData
names withheld on the public pageCompanies whose people mention GoodData in their own activity. Account names are withheld here; not yet classified as implementation partner vs. genuine prospective buyer.
No buyer signal yet for this account
Nobody in the graph is currently discussing this company by name in a way we can attribute to a specific employer.
Buyer profile
company size · seniorityHow big those accounts are, and who inside them is senior enough to matter. Competitor products still not yet computed for this account.
What's been said
public posts mentioning GoodDataReal public activity that surfaced GoodData in a tracked topic. Not a sentiment score — just what people actually wrote.
DuckDB Quack was announced yesterday and the hype is immense. Hannes Mühleisen joined me just after the announcement to go deep on all the details. DuckDB + DuckLake + Quack = a super simple, high performance data stack. How do they keep innovating like this?! Watch and see what all the fuss is about. Thank you to MotherDuck for sponsoring my trip to AI council and making this interview possible.
Bauplan on running agents on production data infrastructure. People lobotomize agents to get them into production - make them stupid so they can't fuck things up. Good systems accommodate untrustworthy actors but the data stack isn't. People in software figured this out with git, etc, but in data we're way behind. Bauplan is git, but for data. How? Store commits for iceberg lake states. Branching and time travel. Merging. This uncorks real agentic workflows because the trust required goes down; agents can experiment without breaking things because they treat data objects like software. A new branch is created by an agent on Bauplan every four seconds. Big! This is possible because everything is a metadata operation, not a data operation. It's catalog pointers. Ultimately the effect is to let agents try, fail and try again without destroying anything. No more dumb agents. Jacopo Tagliabue is onto something here. And a good presenter. The jokes landed which is the real measure of any presentation.
it's worth choosing Good Data over Power BI, for example.