R
RevStack
Explore Data →

Understand the full
landscape of Revenue
Operations
.

RevStack maps the tools, skills, and hiring patterns that define modern RevOps — so practitioners can navigate the space with clarity and companies can build roles that actually make sense.

Stack Intelligence

Every tool in the RevOps ecosystem mapped, categorized, and tracked by real job market demand.

Market Analytics

Live scoring of job postings for tool overload and requirement inflation — patterns you can act on.

Practitioner-Led

Built by someone in the role. No vendor bias, no affiliate deals — just data and context.

Context

What is RevOps?

Revenue Operations is the function that sits underneath Sales, Marketing, and Customer Success — connecting the systems, data, and processes that generate revenue. Think of it as the operating system for a company's go-to-market engine.

A RevOps team manages the CRM, builds the dashboards, designs the lead-routing logic, audits the tech stack, automates the handoffs, and makes sure the data everyone relies on is actually trustworthy.

The role exploded during the SaaS boom. Every B2B company suddenly needed someone who could speak both “Salesforce admin” and “pipeline strategy.” The problem? Companies still don't agree on what the role actually requires.

That's what RevStack measures.

⚙️

Operations

Process design, data hygiene, workflow automation — the infrastructure that keeps revenue teams efficient.

🧰

Technology

CRM, engagement tools, analytics, integrations — choosing, configuring, and connecting the tools that power go-to-market.

📊

Enablement

Reporting, forecasting, territory planning — translating data into decisions that Sales, Marketing, and CS can act on.

🧠

Strategy

GTM architecture, funnel design, comp modeling — the high-level thinking that aligns revenue teams around shared goals.

The Problem

Two patterns are killing RevOps hiring

We analyze every RevOps posting for two signals: are companies hoarding tools they don't need, and are they asking one person to do the work of four? Both are measurable. Both are getting worse.

Index 01

Franken-Stack
Score

Measures tool overload — how many disconnected platforms a single role is expected to manage. A CRM, three engagement tools, two enrichment providers, and a BI suite nobody uses? That's a Franken-Stack.

50.0
current avg /100
0–30 clean stack · 30–60 getting messy · 60+ tool hoarding
Index 02

Unicorn JD
Score

Measures requirement inflation — how many distinct skill categories a posting demands from one human. Admin + analytics + engineering + strategy + enablement? That's a unicorn. They don't exist.

61.2
current avg /100
0–40 focused role · 40–70 stretched · 70+ unicorn territory
Under the hood

How RevStack works

A fully automated intelligence pipeline. From raw job posting to scored, structured insight — no human in the loop.

01

Collect

An automated n8n workflow scrapes RevOps job postings from LinkedIn and other sources daily. No manual data entry — the entire ingestion layer runs on a schedule.

LinkedIn via Apify · Adzuna API · SerpAPI
02

Parse

Each posting is sent to an LLM that extracts 25+ structured fields: tools mentioned, skills required, seniority level, compensation data, company signals, and more.

Claude / GPT-4o-mini · 25+ fields per posting
03

Score

Two proprietary indices are computed per posting: the Franken-Stack Score (tool overload) and the Unicorn JD Score (requirement inflation). Red flags are identified.

Franken-Stack + Unicorn JD · Red flag detection
04

Visualize

Everything lands in a PostgreSQL database with materialized views powering a real-time dashboard. Custom Recharts components — no embedded BI — for full design control.

Supabase · Next.js · Recharts · Vercel
n8nApifySupabasePostgreSQLClaude APINext.js 14RechartsVercelTailwind
Live Intelligence

What the data reveals

Patterns emerging from 577 analyzed postings across the US, UK, DACH, and EU.

87%
of postings require 3+ tools

The average RevOps hire is expected to manage a Salesforce instance, an engagement tool, enrichment data, and at least one BI platform.

61
avg Unicorn JD Score

Most postings cross into "stretched" territory — asking for admin, analytics, strategy, and engineering skills from one person.

4.6
tools per UK role

UK postings consistently demand more distinct tools per role than DACH or EU-remote equivalents.

Explore the full dashboard

Regional breakdowns · Company leaderboard · Score distributions · Tool frequency

Origin

Why this exists

This project started from frustration. After years of working in Sales and Revenue Operations — configuring CRMs, building dashboards, debugging integrations, managing the tools that power go-to-market teams — a pattern became impossible to ignore.

Job postings in this space were getting more disconnected from reality every quarter. Companies listing 10+ tools as required experience. Asking for SQL, Salesforce admin, Tableau, strategic planning, enablement, and project management — in one role, at one salary. The expectations had drifted far from what any single person could deliver.

At the same time, AI started reshaping what's possible. New tools, new workflows, entire categories appearing that didn't exist two years ago. The landscape was moving fast and nobody was mapping it with actual data — just vendor marketing and anecdotal LinkedIn posts.

So RevStack became the answer: an automated pipeline that collects, parses, and scores every RevOps posting — producing intelligence that practitioners and hiring managers can both use to make better decisions.

How we think about this

Data over opinions
Every insight comes from analyzed job postings — not surveys, not vendor reports, not gut feeling.
Zero vendor bias
No sponsors, no affiliate deals, no paid placements. Tools are ranked by market demand, period.
AI-native from day one
The pipeline uses LLMs to parse and score postings. We track AI adoption in RevOps because we live it.
Built for practitioners
The audience is people doing the work — not executives who need a slide deck about it.
Show Don't Prompt
Live AI workflow demos
The 4-Tool Stack
Cut the bloat, keep what works
AI Needs an Operator
The human layer still matters