- Salesforge
- Posts
- Before AI: 50. After: 6
6 people. More meetings.
My old sales team had 50 people.
My current team has 6.
And this team books more meetings every month.
That sounded impossible to me three years ago. More pipeline meant more SDRs. More SDRs meant more list builders, researchers, follow-up trackers, reporting layers, and managers managing managers.
That math doesn't hold anymore.
Lead sourcing runs on agents. Account research runs on agents. First-touch personalization, follow-ups, reply routing, reporting. All of it runs in the background.
The 6 people I have left? They talk to prospects. Handle replies. Run demos. Find better angles. The work where judgment actually matters.
That is how a smaller team produces more output.
This is exactly what I'm walking through next week.
I am doing a live session with Bill Stathopoulos from SalesCaptain on how to use Clay + Claude Code for GTM.
Lead sourcing, account research, campaign building, outbound execution. The full setup a small team needs to run modern outbound.
🚀 New Updates in Forge
Salesforge
Updated Contacts Import Flow
Contacts import now matches the Multichannel import experience, with cleaner UI and easier contact mapping.Salesforge + Weezly Integration
Generate and send personalized videos directly inside Salesforge outreach sequences.Sorting and Ordering in Sequence Contact Details
Sort and order contacts inside Contact Details to review leads and active sequences faster.Smarter LinkedIn Connection Request Handling
If a connection request with a note fails because the note limit is reached, Salesforge retries without the note. If that also fails, only that step is marked failed for that lead.Attachments in Primebox
Send, receive, view, and download attachments across email and LinkedIn messages directly inside Primebox.
Leadsforge
Language Filters
Filter contacts by language across ICP search, Lookalikes, and Followers.
Chrome Extension
Knowledge Base Powered AI
AI messages now use your workspace Knowledge Base and Agent Frank API, so output has more product context and stays closer to your positioning.
This is what outbound looks like when the full stack runs as one system.
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