Articles

LinkedIn outreach in 2026, in long form.

Seven articles covering what changed (connection limits, InMail reply collapse, Trust Score), why the architecture matters (browser vs cloud), and the daily moves that work (Connections.csv warming, voice-tuned comments). Each piece cites primary sources and links to the others.

Foundation Apr 30, 2026 · 6 min read

The 2026 LinkedIn outreach squeeze — and what actually still works for recruiters

LinkedIn tightened connection-request capacity and InMail reply rates collapsed in 2026. The data behind it, and the warming sequence that produces 40-45% reply rates instead of 5%.

Safety May 8, 2026 · 8 min read

LinkedIn connection request limits in 2026: what changed, and what the safe number actually is

The "100 invites per week" rule is gone. Dynamic Trust-Score-based capacity replaced it. Safe daily/weekly numbers by account profile, what flags the lowest band, what to do if you're already throttled.

Outreach May 8, 2026 · 7 min read

InMail reply rates collapsed in 2026 — and the comment-first sequence that's still working

Cold InMail at 3-8%, even personalized at 10-25%. The 3-touch warming sequence hits 40-45% on the same population. Why, with citations.

Safety May 8, 2026 · 7 min read

LinkedIn Trust Score in 2026: what it is, how it's computed, and how to raise it

The internal reputation signal that drives every cap that matters. Signals it appears to weight, and the unglamorous engagement habits that move it up.

Architecture May 8, 2026 · 8 min read

Browser-based vs cloud LinkedIn automation: the 2026 ban-rate data

Cloud-IP tools at ~31% restriction rate, browser-based at ~8%. The 4× gap is consistent across multiple sources and is widening. Why, mechanically.

How-to May 8, 2026 · 7 min read

How to actually use your LinkedIn Connections.csv: warming your existing 1st-degree network

The list of people who already accepted your invite is the highest-leverage warming target you have. How to export, classify Fresh/Dormant/Long-cold, run the workflow.

How-to May 8, 2026 · 8 min read

Voice-tuned LinkedIn comments: a framework with examples

Generic AI comments hit 20-30% accept-without-edit. Voice-tuned (1-3 of your real comments fed as in-context examples) hits 60-70%. Three before/after examples on the same source post.