GTMcraftOS
The Signal Engine

Where the signal comes from.

The best go-to-market voices on earth go in one side. Weekly ingestion and one operator's judgment turn raw signal into diagnostics, plays and agent skills that come out pointed at your next revenue milestone.

105 sources across the US, EU and global GTM scene. Credited, curated, re-read weekly. This is the input to throughput to output story behind every GTMcraft play.

GTMcraft OS · The Signal Engine

The world's best GTM signal, filtered by a real operator,
turned into human + AI skills tuned to you.

A living pipeline. The best GTM voices on earth go in one side. Weekly ingestion and a founder-operator's judgment turn raw signal into diagnostics, plays, and agent skills that come out the other side pointed at your next revenue milestone.

1Input · the signal sources
2Throughput · raw signal becomes leverage
3Output · tuned to your context
The one-in-a-thousand moat
40
NewslettersThe sharpest written GTM in the market
17
PodcastsOperator conversations, transcribed weekly
48
LinkedIn GTM creatorsThe top voices, tracked post by post
Refreshed weeklyThe best GTM voices in the world, in one feed. Almost nobody reads all of it. This engine does.
Automated · weekly
Ingestion & enrichment into the Notion corpus
Every source pulled, cleaned, and tagged. The raw feed becomes a searchable, structured body of GTM signal.
The human-judgment layer
Koen's weekly operator lens
A European founder-operator who has scaled to 10M ARR multiple times, curating what actually matters and cutting what does not. Judgment is the filter machines cannot fake.
Distilled into four assetshuman × AI
Human intelligence
Competency Library
The human skills that move revenue
AI
Agent Skill Library
Skills you run in your own LLM
Reference
Metric Catalog
Role-indexed, bowtie-mapped
Execution
Plays
Run them Monday morning
Human×AIthe two multiply, they do not compete
Tuned to your context
Two DiagnosticsMetric diagnostic + Competency diagnostic
The PlaysRun them Monday morning
The Agent SkillsRun them in your own LLM
CoachingOperator support when the play meets reality
The promised outcome
€2M/€5M/€10M
Your next ARR milestone. Everything upstream exists to get you there.
Signal in motion
Human intelligence
AI
The story in five seconds: the world's best GTM signal goes in, a real operator filters it, and it comes out as human plus AI skills tuned to your revenue stage. That is the GTMcraft OS.
GTMcraft
The pipeline, stage by stage

Input. Throughput. Output.

Three stages, one job: take the sharpest GTM signal in the world and turn it into something you can run this week, tuned to your stage.

1 · Input

The one-in-a-thousand moat

  • 40 newsletters, the sharpest written GTM in the market
  • 17 podcasts, operator conversations transcribed weekly
  • 48 LinkedIn GTM creators, tracked post by post
  • Refreshed every week. New signal in, stale signal out.
2 · Throughput

Machine ingestion, then human judgment

  • Every source pulled, cleaned and tagged into the Notion corpus
  • One European operator lens curates what matters, cuts what does not
  • Distilled into the Competency Library and Agent Skill Library
  • Mapped to the Metric Catalog and turned into Plays
3 · Output

Tuned to your context

  • Two diagnostics, one reads the number, one reads the operator
  • Metric-tagged plays you run Monday morning
  • Agent skills you run in your own LLM
  • Coaching for when the play meets reality
The multiplier: human craft times AI. The two do not compete. See how the loop runs.
Voices we read, distill, and pressure-test

The core registry, credited by source.

A slice of the names GTMcraft mines every week. This is not a reading list. It is a curated feed of the sharpest go-to-market voices on the planet, run through one European operator lens and rebuilt into plays you can ship.

40
Newsletters
17
Podcasts
48
LinkedIn voices
Weekly
Refresh cadence

The lime dot marks the European operators in the mix.

Podcasts 6 of 17
30 Minutes to President's Club
Nick Cegelski & Armand Farrokh
Topline
Sam Jacobs, AJ Bruno, Asad Zaman
GTMnow
Sophie Buonassisi, GTMfund
The Official SaaStr Podcast
Jason Lemkin
Exit Five
Dave Gerhardt
The Revenue Formula •
Toni Hohlbein & Mikkel Plaehn
Newsletters 9 of 40
Lenny's Newsletter
Lenny Rachitsky
Growth Unhinged
Kyle Poyar
SaaStr AI
Jason Lemkin
Positioning
April Dunford
Elena's Growth Scoop
Elena Verna
Revenue Leadership
Kyle Norton
GTM Strategist •
Maja Voje
Full-Funnel B2B •
Andrei Zinkevich
RevOps Impact
Jeff Ignacio
LinkedIn voices 10 of 48
Chris Orlob
Kevin "KD" Dorsey
Jen Allen-Knuth
Mark Kosoglow
Ian Koniak
Kyle Asay
Leslie Venetz
Belal Batrawy
Jason Bay
Gal Aga •
Krysten Conner, Nate Nasralla, Todd Busler, Anthony Natoli, Brian LaManna, Marcus Chan, Jamal Reimer, JC Pollard, Nick Cegelski, Mike Gallardo, Salman Mohiuddin, and more.
Refreshed every week

Living feed, not a static archive

Every week the registry gets re-read. New signal in, stale signal out. What lands here is what is moving GTM right now, not what worked three years ago.

The European operator lens

Filtered for how you sell in Europe

Most GTM content is written for the US market. GTMcraft filters all of it through a European operator who has scaled to €10M+ ARR three times and is now building toward €50M, so the plays fit how you actually sell in Europe, not just how it reads in San Francisco.

These are sources GTMcraft reads, distills, and credits. They are not partners, sponsors, or endorsers, and nothing here implies their endorsement of GTMcraft. Every play credits the original creator by name and source.

Get started

Turn the signal into your next increment.

Start with the free GTM Diagnostic. It names your one metric and points you to the plays that move it.

Start with the GTM Diagnostic Back to the overview