Shamelessly showing off: we built a VC dataset with 17,000+ investors you can actually contact
Shameless self-promo, but we just shipped a massive update to Causo and I am genuinely proud of this one.
We spent the last few months rebuilding our VC dataset from the ground up. We now cover:
1,000+ venture funds
17,000+ investors and investment professionals
Fund size, cheque size, stages, sectors and geographies
Investment theses, portfolios, recent investments and latest fundraises
Individual investor backgrounds, focus areas, career histories and past investments
Verified emails where available
Sources for the underlying research
Non-investment staff separated from the people who actually make investment decisions
But the goal was never to build another giant directory or give founders a CSV and wish them luck.
You add your company, and Causo works out which funds actually fit, explains why, identifies the most relevant people inside each fund and tells you why those specific people may care.
There is also a lot more data sitting behind the scenes than what you can see in these screenshots. We use it to understand both the fund and each individual partner, so the emails are written around the actual match, their background, investment focus and relevant experience.
It means the message to one partner at a fund can be completely different from the message to another partner at the same fund. Not just the same template with a different first name.
We built this because most VC databases left us with the same questions:
Is this fund still active?
Do they actually invest at my stage?
Who at the fund covers my sector?
Is this person an investor or just on the operating team?
What should I actually say to them?
More than 500 founders have registered for Causo since we launched. Their searches, feedback and weird edge cases helped us turn the original product into something much more complete.
I honestly think this may now be the most complete VC research and outreach system available to early-stage founders.
Still plenty to improve, so brutal feedback is very welcome.
Replies
Causo
Currently also improving our fund-level discovery mechanism, so we can keep adding more funds faster, as well as let users trigger this: if we have no data on a fund, a user should be able to click a button, and then we run our discovery and enrichment agent swarm on that fund:)
Causo
@dawid_baranowski 🚀🚀
Causo
@mazin_assaf Thanks dude!
They will for follow-ups but if you want to take full advantage of the new data I would recommend adding funds to a new campaign!
Really like this update. Separating the real decision-makers from operating staff is the thing most databases skip, and it’s exactly what eats founders’ time — nice. One bit of honest feedback: the hard part isn’t the data, it’s trusting the match. When Causo says “this partner cares because of X,” I’d want to see the source behind that before I bet my one cold email on it — same way you already cite sources for the fund research. We’re building on the deck side of the same problem, so this is fun to watch. Would love to compare notes sometime.
Causo
@tmaleh_ Completely agree. The partner-level reasoning is source-backed too, but we need to make that much more visible in the UI.
Definitely let's do it at some point!
17,000 investors is a serious dataset to maintain, the hard part with anything like this is usually not the initial build but keeping it accurate as people change funds or move roles. how often does the underlying data get refreshed, and is that a manual research process or something more automated?
Causo
@omri_ben_shoham1 Indeed, true!
It is automated, but of course requires some manual work to maintain the quality.