Signal Plane is a live GTM decision-support system built entirely on public signals.
It monitors competitive messaging changes, narrative drift, ICP shifts, pricing moves, launch patterns, distribution signals, trust and proof changes, objection trends, and hiring indicators across public surfaces. 12+ signal systems feed a single synthesis layer, Control Plane, which produces a structured weekly decision packet: executive summary, key shifts, open questions, and 90-day hypotheses. Every claim links back to its source.

The system goes beyond detection. Builders convert signals into operational GTM artifacts: self-updating battlecards, a living objection library ranked by frequency and severity, and a buyer language swipe file tagged by persona and funnel stage. GTM Memory stores durable knowledge objects, so insights compound across weeks instead of resetting. A Judgment Loop tracks predictions each week and scores them against outcomes, building a verifiable record of PMM judgment over time.

The system is designed for product marketing managers and GTM leaders at B2B SaaS companies who need competitive and market intelligence that is repeatable, evidence-linked, and low-noise. Not a dashboard. Not a quarterly deck. Infrastructure that runs weekly and reduces the surface area of guesswork.
What Signal Plane produces:

Weekly decision packets synthesized from 12+ signal sources
Self-updating battlecards, a living objection library, and a buyer language swipe file

- Tracked predictions scored against outcomes each week
- Compounding knowledge via GTM Memory across objections, buyer phrases, competitor claims, and proof points
- Classified competitor messaging changes with severity and strategic intent
- Narrative drift detection, ICP shift identification, pricing and packaging analysis, and hiring signal monitoring

Built by a product marketing professional with 10+ years in B2B SaaS, developer tools, and enterprise software. 

Signal Plane

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Signal Plane

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