11 meetings booked from content they already published

About Vamo

Vamo finds and recruits top engineers straight from GitHub: the cracked builders who never show up on LinkedIn. They sell to recruiters, staffing firms, and founders trying to fill engineering seats fast. Here’s the twist: the engineers Vamo sources live off LinkedIn, but the people who buy Vamo live on it. Their founder’s LinkedIn following was driving real demand from hiring teams, and nobody could keep up with it. With traxy, Vamo went back through 64 posts they’d already published and turned that engagement into 14 replies and 11 booked meetings without writing a single new post.

The problem

Vamo’s founder was getting heavy engagement on LinkedIn from exactly the people they sell to: recruiters and hiring teams looking for engineers. Likes, comments, shares. But turning that into pipeline meant someone manually reading every post, scanning every commenter, and guessing who was actually worth a message. They didn’t want to blast everyone. They only wanted to reach people the message was relevant to. So most of it never got touched. The result: roughly four months of leads sitting stalled. Real buyers engaging with their content, and no system to catch them.

The gap

Most teams don’t have a lead-gen problem, they have a signal problem. Vamo tells engineers to get off LinkedIn, but that’s exactly where their buyers live, and four months of that intent was engaging with their founder’s posts and going uncaught.

Why traxy

Vamo was deep in go-to-market tool evaluation, demoing outbound platforms, automated SDR tools, the whole category. Most of it was cold. traxy was different because it was signal-based. Instead of buying strangers, it worked the network they already had. Every post they’d published was sitting on intent data, and traxy turned it into qualified leads. Two things closed it: speed and clarity. The platform surfaced the right people in minutes instead of hours, and the ICP match meant they could see exactly who was worth reaching out to.

The transformation

From guessing to ICP match. traxy scans the engagers on each post and flags the ones that fit their ICP. No more reading every comment and guessing. From stalled to activated. They went back through 64 old posts, exported the matched leads to a CSV, and ran email sequences off it. Months of dormant engagement turned into a working pipeline. From one profile to many. They started with the founder’s account, then expanded to their new CEO, thought leaders, and competitor audiences, mapping intent well beyond their own network. From hours to minutes. Surfacing leads from a post now takes half the time it used to.

Before & after

The takeaway

Most teams treat LinkedIn engagement as a vanity metric. Vamo treated it as pipeline sitting in plain sight. The lesson isn’t “post more.” They didn’t write a single new post to get 11 meetings. They already had the demand. What they were missing was a way to read the signal and act on it before it went cold. If your founder is posting and the right people are engaging, you’re already generating intent. The only question is whether you’re catching it or letting four months of it slip.