GTM engineering for B2B teams · built in your stack
Every morning: who to approach, who to save, who to grow.
I build the system behind that list: clean data in your CRM, signals with a source and a date, rules your team can read, and a human check before anything changes. Start with new customers or with the ones you have. Both build on the same foundation: clean data, signals with sources, rules you can read.
Fixed price before code · Read-only access to start · You own what I build
Tuesday 08:30 · Your list for today
From: Press releaseJobs
From: ProductCRM
From: LinkedInBilling
From: Rules
Everyone uses AI. Few have built it into how they sell and keep customers.
Your reps still research by hand.
Sellers spend only 40% of their time selling; prospecting alone takes almost a day a week.
The signals sit in different tools.
A new leader at a prospect, a drop in usage at a customer: different people see them at different moments, or never.
AI on messy data answers fast, and wrong.
Without clean records and clear rules, it just makes the wrong answer arrive quicker.
Source: Salesforce, State of Sales 2026.
One foundation. Four layers. Your CRM stays the source of truth.
- 1
Clean data.
One record per company and per person, matched across your tools.
- 2
Signals with proof.
Every signal has a source and a date. No source, no claim.
- 3
Rules decide.
Priority comes from rules your team can read and change, not from an AI guess.
- 4
People approve.
Nothing changes in your CRM, and nothing goes out, until someone on your team says yes.
Built around the stack you already have.
I connect the tools you already use and add the data, rules and workflows that make them work together.
HubSpot
Clay
Claude
n8n
Lemlist
Your tools stay yours. I build the connections between them.
Start where it hurts most.
New customers: signal-based outbound.
A weekly list of accounts with a real reason to talk now, with context and first drafts for your reps.
See outbound →Existing customers: retention & expansion.
Every morning, know which customers need you and why: renewals at risk, billing gaps, accounts ready to grow.
See customer data →A shared foundation across the customer journey. Build one side first; the other builds on it.
Want to see the method first? Read the use cases →Who it's for
A good fit
B2B teams of roughly 20 to 200 people, usually SaaS or another recurring-revenue business, on HubSpot, with sales and customer success, data spread across tools, and AI used ad hoc rather than in the process.
Not a fit
sending thousands of cold emails a month; fully autonomous AI with nobody reviewing; no one to own the system once it's built.
How to start
- 1
Diagnose (2 weeks, fixed price).
Read-only access and a written plan. For outbound: your ICP and triggers defined, and a scored sample of accounts with sources. For existing customers: one real question answered with your data.
- 2
Build (4 weeks)
One side of the engine live in your stack, with a checkpoint after week 2: if it doesn't meet the agreed criteria, you stop and pay half.
- 3
Run & improve.
Monthly or by the hour. New signals and rules as they earn it.
Built by someone who's sat in the seat.
I'm Tim. I've worked on the commercial side of B2B tech, in business development, account management and customer success. I've seen both ends: reps researching accounts by hand before every message, and customer teams rebuilding context before every call. Seamline builds the systems behind both: clean data, signals with sources, rules your team can read, and AI and automation only where they actually make sense.
— Tim, founder
Questions founders ask me.
Tell me where it hurts most.
A 30-minute call. I'll tell you what's realistic in two weeks, and if I'm not the right fit, I'll say so.
Book a diagnostic