Evertrace on the aulium podcast
Recently, Jacob Houlberg, co-founder of Evertrace, joined the aulium podcast to talk about how AI is changing the way venture capital firms discover startups.
The conversation explored how startup sourcing is evolving and why traditional discovery methods are quickly becoming outdated.
For many years, venture capital sourcing has relied heavily on manual work. Associates spend hours searching LinkedIn, monitoring trade registries, and trying to identify early signals that a new company might be emerging.
But today, much of this process can be automated.
Automating startup discovery
During the episode, Jacob shared how Evertrace is building infrastructure to automate the discovery of early-stage startups.
Instead of manually searching across dozens of sources, Evertrace continuously monitors signals such as:
- company incorporations
- patent filings
- GitHub activity
- domain registrations
- research publications
These signals often appear months before a startup launches publicly or raises its first funding round.
By connecting these signals, Evertrace helps investors detect founders and companies earlier than traditional venture workflows allow.
What we discussed
The conversation also touched on several broader themes shaping the future of venture sourcing, including:
- why sourcing is fundamentally a data problem
- how investors can detect pre-seed companies the moment they are incorporated
- the shift from reactive deal flow to proactive startup discovery
- how Evertrace has grown to more than 175 VC clients with a small team
It was a great discussion about where venture capital is heading and how technology is reshaping the discovery process.
Watch the episode
If you are curious about how investors discover startups today, and how AI is transforming early-stage sourcing, the episode is definitely worth watching.
Watch the episode below
