The Stack Index / Signal / PredictLeads
Signal · serves Motion
PredictLeads
PredictLeads sits in the signal layer of the GTM Vault instrumentation index. It is recommended in GTM Vault essays, and no operator on the record has described running it.
No operator on the record has described running PredictLeads. It appears here because GTM Vault recommended it in an essay, which is opinion rather than reporting. Weigh it accordingly.
Where it appears
One entry per episode. Mentions in passing, sponsor reads and guest biographies are not counted.
- Rick Koleta
Detects buying intent and hiring spikes
GTM Vault essay · Three StagesThe Three Stages of AI-Native GTMThe essay →
For the PredictLeads team
Put a PredictLeads customer on the record.
PredictLeads is here because GTM Vault recommended it in an essay. No operator has described running it yet. One customer walking through their system changes that.
Placement, order and counts are never for sale. How the index works.
Add a customer
Put a customer forward for Show Me Your StackA customer walks through the system they built with PredictLeads. If it holds up, it goes on the record.
See which stacks this tool shows up in next
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Others in signal
Common questions
- Why is PredictLeads in the Stack Index?
- PredictLeads appears because GTM Vault recommended it in an essay (Three Stages). No operator on the record has described running it, so it carries essay evidence only, which the index never blends with operator evidence.
- What layer of revenue architecture does PredictLeads serve?
- PredictLeads is placed on the Signal layer, which serves Motion in the eight-layer model of revenue architecture. What changed and when: intent, reviews, hiring, monitoring. Placement follows the job the tool did in an operator's system, not the category its marketing claims.
- What entry tier is PredictLeads?
- PredictLeads is listed at the mid-market tier. The index records budget as a posture (self-serve, mid-market, enterprise), not a price, because public pricing in this category is unreliable.