Segify maps who's actually close to your brand on LinkedIn using an Orbit model, then turns your ICP into two daily inboxes: ICP -> Posts and ICP -> Comments, showing exactly where to engage today. Drafts are written in your voice and in your brand context, but you always review and publish. It also scores your own posts to reveal what content resonates with clients vs. your ICP. A 10-15 min/day routine, data stays in your environment via a desktop app, with optional local AI.
Hey Product Hunt 👋
I built Segify because I kept scrolling LinkedIn without a plan. I had an ICP defined somewhere in a slide, but nothing connected it to what I actually saw in my feed each day — so I'd end up commenting at random, or not commenting at all.
The deeper problem: followers aren't relationships. Vanity metrics don't tell you who's actually close to your brand, who's cooling off, or whose attention you should be earning today. And when I tried using generic AI to draft comments, it just didn't sound like me.
Segify started as a simple question: what if LinkedIn gave you two inboxes instead of one feed — ICP → Posts and ICP → Comments — showing exactly where your ideal customer is already talking? From there, it grew into the Orbit model (who's near or far from your brand) and a way to see which of your own posts actually resonate with clients vs. prospects, not just likes.
The process changed a lot along the way. I started building an automation tool, then realized the real unlock wasn't automating comments — it was making the decision of where to show up every day easy, while keeping the actual writing and publishing in your hands. That's why every draft is a starting point in your voice, and you're always the one who reviews and hits publish.
I'd love your feedback, especially if you already live on LinkedIn for business development—what would make this a daily habit for you?