--- title: "11 meetings booked from content they already published | traxy Case Study" description: "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." canonical: "https://traxy.ai/case-studies/vamo" --- # 11 meetings booked from content they already published | traxy Case Study > 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. [All case studies](https://traxy.ai/case-studies) ![Vamo](https://traxy.ai/assets/customer-vamo-logo.png) # 11 meetings booked from content they already published 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. SaaS![Vamo](https://traxy.ai/assets/customer-vamo-logo.png) > “We didn’t even know what we were missing out on. We’re doing all these posts, so we might as well have some intelligence on it. Off the first demo, I knew right away how quickly we could pull leads up.”Gabe GranadosFounding Partnerships Lead, Vamo **11 meetings**Meetings from the first set of leads **14**Replies from 64 existing posts **4 minutes**Time to first lead IN THIS CASE STUDY[About Vamo](https://traxy.ai/case-studies/vamo#about) [Results at a glance](https://traxy.ai/case-studies/vamo#highlights) [The problem](https://traxy.ai/case-studies/vamo#chapter-0) [The gap](https://traxy.ai/case-studies/vamo#chapter-1) [Why traxy](https://traxy.ai/case-studies/vamo#chapter-2) [The transformation](https://traxy.ai/case-studies/vamo#chapter-3) [The takeaway](https://traxy.ai/case-studies/vamo#chapter-4) [Before & after](https://traxy.ai/case-studies/vamo#comparison) INDUSTRY Technical recruiting CUSTOMER TYPE SaaS [vamotalent.com](https://vamotalent.com/) ## 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. ## Results at a glance - 11 meetings booked from the first set of leads - 14 replies from 64 posts they’d already published - 4 minutes until they saw their first lead - Time to surface leads from a post cut in half - 4 months of stalled LinkedIn leads reactivated - A demo booked with a major company from a single traxy campaign ## 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 Metric Before With traxy Time to surface leads from a post Manual, hours per post Cut in half Stalled LinkedIn leads ~4 months ignored Reactivated across 64 posts Replies from posts 0 tracked 14 Meetings booked 0 from LinkedIn engagement 11 Time to first lead Not tracked 4 minutes ## 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. ## Want results like Vamo? Turn social engagement into qualified leads with buying intent. [Start your free trial](https://app.traxy.ai/signup) [Book a demo](https://calendly.com/d/cvj3-p2p-cpv/traxy-demo) Results reported by Vamo. ## More teams. More stories. [View all case studies](https://traxy.ai/case-studies) [![Forj Media: watch Matt Huang’s story](https://traxy.ai/assets/forj-media-video-thumbnail.jpg) LinkedIn content agency ### $100K Deal closed for a client with help from traxy Clearer ROI from LinkedIn content helps Matt reduce churn and keep clients longer. Read Forj Media’s story](https://traxy.ai/case-studies/forj-media) [SaaS![Outcome Catalyst](https://traxy.ai/assets/customer-outcome-catalyst-logo.svg) AI infrastructure ### $500K+ pipeline identified in six weeks Founder posting turned into a repeatable sales motion. Read Outcome Catalyst’s story](https://traxy.ai/case-studies/outcome-catalyst) [SaaS![Nostra](https://traxy.ai/assets/customer-nostra-logo.svg) Ecommerce infrastructure ### $200K+ pipeline in under 30 days 5+ live deals from warm paths hidden in LinkedIn engagement. Read Nostra’s story](https://traxy.ai/case-studies/nostra) [Agency![Tribe Digital](https://traxy.ai/assets/customer-tribe-digital-logo.png) B2B marketing & lead gen ### 15× return in the first two weeks 10+ meetings in one month for a single client account. Read Tribe Digital’s story](https://traxy.ai/case-studies/tribe-digital) The right people are already out there. ## Find your warmest leads. _Send them personalized messages._ From relevant interest to personalized outreach. Put traxy to work. 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