01 / 06
Signal-based prospecting
Live
Instantly Growth Opportunity Engine
A traceable account-prioritisation system that combines hiring, funding, and outbound-stack signals into one explainable opportunity score.
- Clay
- Apollo
- TheirStack
- GPT-4o
01
The bottleneck
GTM teams need to know which accounts to contact first and why. Manual research is slow, prioritisation changes from rep to rep, and outreach is rarely tied to a current, observable signal.
02
System design
From input to action, with every decision visible.
- 01
Imported 22 target companies from Apollo with the firmographic context needed to make each signal usable.
- 02
Built a live hiring signal for relevant SDR, BDR, RevOps, GTM, and Sales Ops openings, with explicit flags separating genuine zero results from missing data.
- 03
Added outbound-tooling and funding-recency signals, then combined all three in a weighted score: hiring 45%, funding 30%, and outbound stack 25%.
- 04
Created deterministic GTM motion recommendations, excluded existing customers automatically, and constrained AI reasoning to facts present in the record.
03
Outcomes
What changed because the system existed.
- 22 companies scored end to end with every score traceable to an observed fact.
- 2 existing customers identified and excluded before outreach copy was generated.
- Zero hallucinated facts in the generated reasoning and email copy by design constraint.