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GTM Stacker (a revenue-operations practice, not Google Tag Manager)
Channels
#revenue-weekly
Question: Are we on pace for the quarter?
Reports Agent: You're at 76% of target with three weeks left. The gap is two slipped mid-market deals; six stage-3 deals can close it. Reports: Pacing pulled. Deals: 6 flagged. workings.md: Attached.
#pipeline-hygiene
Question: Anything to fix before the forecast call?
Reports Agent: Three deals: Nortech idle 28 days, Averline past its close date, Kestrel's champion gone quiet. The rest is clean. Pipeline: 3 deals flagged. Close dates: Checked.
#account-research
Question: What changed at Kestrel Health since our last call?
Reports Agent: Their champion went quiet, but two new contacts opened the proposal page yesterday. A re-engage draft is ready for your review. Contacts: 2 new engaged. Activity: Page views traced. Sequences: Draft ready.
#data-definitions
Question: Why do Sales and Finance show different pipeline?
Reports Agent: Two definitions: Sales counts stage 2+, Finance stage 3+. That is the 8% gap; the stage 2+ ruling is now logged for both. Properties: Definitions compared. Register: Updated.
Every team knows Monday.
Export the dashboards
HubSpot Reports, pulled by hand
Rebuild the pacing maths
The same spreadsheet, every week
Write the story
The handmade narrative
Assemble the deck
Reports AgentOnline 24/7Report and deck are ready for review
Monday report, delivered
In your channel at 7:00
What you get back
~0 min
saved every week
~0 hours
a month. On a single report.
HubSpot holds the data. I build the missing layer.
Reports, dashboards and delivery rails are already in your subscription. The layer that turns them into decisions, and keeps compounding, is the build.
Theo Popov
Founder-operator turned systems builder
Numbers that come to you
Live figures inside the message, not a link to a dashboard — the number arrives where the conversation already is.
Reports that explain themselves
Pacing maths against target, written as prose on schedule or on demand. Commentary rewritten against fresh numbers each week, with a workings file.
Agents that compound
Context files, codified skills and review checkpoints. Every run updates the files, so month six is sharper than month one.
Proven in the field, documented at the source
Three engagements, picked to show the range: growing pipeline, running operations, engineering the systems underneath.
A venture program’s national growth hub
~2,585 founders outreached, 170+ founder calls, 211 long-form pieces against a 60-piece KPI, 1.74M+ ad impressions and two hackathons. One contract quarter, one operator, AI-built tooling.
Read the case studyAn 11-site business run on custom ops systems
Co-founded and scaled a hospitality group to 11 locations on a two-warehouse ERP model: stock variance 4-7% → ~0%, reporting lag 17 days → 1 day, related payroll cut ~14%.
Read the case studyAn agent-native registry, live on this domain
380+ entries, updated daily, zero runtime dependencies. A machine-readable media property (llms.txt, OpenAPI, MCP server, JSON-LD) and the verification discipline behind every system on this page, public.
Browse the registryQuestions & Answers
Start with a conversation.
Thirty minutes on your revenue stack: where the reporting ritual eats hours, where definitions disagree, where AI could carry real load with a human still in charge. If there is a system worth building, you leave with the sketch. Yours either way.
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