Research
Insights on AI agents, data infrastructure, and the future of GTM from the Watt team.
The first Signal Drop. Education signals on 118M+ people (alumni queries in one line), geographic filters that finally compose like every other signal, plus company founding year, LinkedIn contacts, work-vs-personal flags, mobile ad IDs, and 1,700+ new intent topics. See you in two weeks.
A signal is a single fact about a person or company at a specific moment, raw, uncompressed, and composable with others. Everything else in the data industry — fields, traits, segments, scores — is downstream of signals. The cognitive flip from "what data can I get?" to "what can I find?"
Two vendors, thousands of upstream sources. Everything we use is available on the open market to anyone who knows where to look. The reason no one else has built this isn't the sourcing: it's the substrate.
For 20 years, anyone whose job depended on data they didn't produce was a Data Consumer waiting on a 5-role chain. That world is ending. The role that replaces it is the Signal Engineer. The operating model is Signal Engineering. Here's the definition.