Most outbound still starts with static lead lists.
But companies don’t actually buy randomly — they enter buying windows.
For example:
funding → hiring SDRs → GTM experimentation → tech stack installs.
That sequence usually signals a company preparing to scale revenue.
I’ve been experimenting with a system that detects those signals in real time and builds a high-intent prospect list automatically.
The pipeline roughly looks like:
signal ingestion → signal intelligence → intent scoring → AI research → personalized outreach.
Instead of scraping random leads, the system prioritizes companies that are statistically more likely to buy.
Curious how others here are approaching signal-driven outbound.
If anyone is exploring similar GTM infrastructure, I’d love to compare architectures.
