GTM Project — 2025

The Signal Stack

A weighted scoring system that turns 267 companies into a tiered, data-driven target list — so every application goes somewhere worth going.

Signal_Stack_2025.xlsx — Tier A (All)
Company Category Brand Role Fit Attain Financial Score Tier
Sierra AI (Agent Platform) 5 5 5 5 100 A1
Runway AI (GenAI Video) 5 5 5 5 100 A1
Arctic Wolf Cybersecurity (MDR) 5 5 5 5 100 A1
Anthropic AI (LLM/Foundation) 5 5 4.7 5 98.74 A1
SecurityScorecard Cybersecurity (Risk) 5 5 4.1 5 96.22 A2
Databricks Data Infra (AI) 5 5 4.2 5 96.64 A2
Okta Cybersecurity (IAM) 4.7 5 4 5 93.94 B
Gong AI (Revenue Intel) 4.2 5 4.1 5 91.26 B
267
Companies scored across AI, cyber, and cloud
14
A1 elite targets identified
4
Weighted dimensions, zero gut feel
Google Sheets Weighted Scoring Market Intelligence GTM Strategy AI-Assisted Research

The best companies don't announce themselves.

Every major publication has a top 50. Every VC has a portfolio. Every sector has its darlings. But when you stack them all together, you're left with hundreds of names, no clear signal, and a job search that feels more like noise than strategy.

The instinct is to chase logos. The smarter move is to build a system.

AI 50, Cloud 100, Infra 100, Brex 50 Fastest Growing — all valuable individually, none of them telling you where you specifically fit

No way to compare across categories — a cybersecurity firm and an AI platform scored by the same gut feel is not a strategy

267 companies with no ranking means every morning starts with the same question: who do I actually go after today?

Spray-and-pray wastes time on companies that look exciting but score low on the dimensions that actually predict fit and attainability


Four dimensions. One stack rank.

01 /

Source aggregation

Companies pulled from six publicly available market intelligence sources, cross-referenced and deduplicated into a single master list.

AI 50 Forbes Cloud 100 Enterprise Tech 30 Infra 100 Brex 50 Top VC Portfolios
02 /

Weighted scoring across four dimensions

Each company scored 1–5 per dimension, multiplied by its weight, and normalized into a 100-point composite. No gut feel. No logo bias.

31%
Brand signal and market leadership
29%
Role fit and product relevance
21%
Attainability and network leverage
19%
Financial health and momentum

The Signal Stack is a prioritization tool, not a perfect oracle. A company scoring A1 is a strong signal worth pursuing — not a guarantee of fit. The system gets you in the right ballpark faster than intuition alone ever could.

03 /

Tier assignment with locked cutoffs

Composite scores map to a locked grading curve with color coding by category for instant visual scanning across hundreds of rows.

A1
95–100 · Elite
A2
90–94 · Core
B
84–89 · Strong
C / D
Below 84 · Watch
04 /

Sprint board and live pipeline tracking

A1 and A2 companies feed directly into a sprint board with application status, effort level, follow-up dates, and warm contact paths — turning a static ranking into an active pipeline.


From 267 options to a surgical target list.

Tier distribution — 267 companies scored
14
A1
50
A2
30
B
32
C1
51
C2
13
C3
13
D
A1 — Elite (95–100)
A2 — Core (90–94)
B — Strong (84–89)
C / D — Watch list
64
A-tier companies worth pursuing immediately
4
Weighted dimensions replacing subjective guesswork
1
Reusable framework for territory planning and account mapping

Sierra scored a perfect 100 — fives across brand, role fit, attainability, and financial momentum. That's not enthusiasm. That's a data-backed conviction that held up against 266 other companies.

The Signal Stack didn't just power a job search. It's a territory planning framework — the same logic that drives account segmentation, ICP definition, and prioritized outreach in any GTM motion. Built once, reused everywhere.


Built to run a job search like a sales territory. Turns out it's also a template for every pipeline I'll build on the other side.