Got it — lead with the signal/AI scoring/autopilot angle. LinkedIn accounts are just a footnote, not the headline. Here's the rewrite: Hey everyone — we built Linkedify because outbound is broken and everyone knows it. The average B2B team sends thousands of cold emails and LinkedIn messages every month to people who were never going to buy. Reply rates sit at 1-2%. Reps spend 80% of their day on research and list building instead of having conversations. The core problem: teams are reaching out to the right people at the wrong time. Someone matching your ICP doesn't mean they need your product this week. But someone who just posted a job for the role you sell to, just raised funding, or is actively engaging with competitor content — that's a different conversation entirely. What Linkedify does: We built an intent-signal-first outbound system. Instead of starting with a list, you start with buying signals. Monitor for real-time intent — job postings, funding rounds, leadership changes, tech stack shifts, competitor engagement AI scores every lead 0-100 before any outreach happens — signal strength, company fit, timing, contact authority Only high-scoring leads get personalized outreach, written by AI referencing the specific trigger The system runs on autopilot — surfaces scored leads every morning, drafts outreach, handles follow-ups, books meetings The teams using this approach are seeing 8-12% reply rates vs the 1-2% industry average on cold. They're sending 75% fewer messages and booking 3x more meetings because every touch is relevant and timely. We also solve the LinkedIn infrastructure side (scaling outbound safely across multiple accounts), but honestly the bigger unlock is the signal layer. Reaching the right person at the right moment matters more than anything else. Would love feedback from anyone doing B2B outbound — what signals are you tracking to decide when to reach out?

Linkedify

Scale LinkedIn outbound without getting banned

Scale LinkedIn outbound without getting banned