From followers to signal: how feeds actually rank you now

Your follower count is a vanity number the feed mostly ignores. That sounds harsh, but it’s how ranking works now. A post from an account with 800 followers routinely outperforms one from an account with 80,000, because the feed isn’t asking “how many people follow this person?” It’s asking “will the specific person scrolling right now stop and stay?”

If you’re still writing to grow followers, you’re optimising for the wrong meter. Here’s what the meter actually reads.

What the feed measures instead

Three signals do most of the work. None of them is follower count.

Dwell time. This is the one people underrate. LinkedIn’s own engineering describes two versions: dwell time “on the feed” (the clock starts when at least half your post is visible as someone scrolls) and dwell time “after the click” (time spent once they tap to expand or open). They prefer it to clicks and likes for a blunt reason: it’s a real-valued, always-measurable signal, not a binary “did they tap or not.” A like is one bit. Time is a spectrum, and it’s harder to fake.

Crucially, their engineers name a skip threshold (T_skip): watch a post for less than a couple of seconds and your probability of engaging with it is near zero, whatever the format. Below that line, you’re skipped and the feed learns it.

Early engagement - the “golden hour.” New posts get tested on a small slice of your network first. If that slice reacts, comments, and lingers, the post is pushed to second- and third-degree connections. If it goes quiet, distribution quietly stops. The first 30 to 60 minutes set the trajectory.

Relevance over recency. Since a mid-2025 update, LinkedIn will surface a two- or three-week-old post over a fresh one if it’s more relevant to that reader’s interests. The feed is a relevance ranker with a recency tiebreaker, not a chronological river. And LinkedIn is explicit that the platform “is not designed for virality.” Reach is earned reader by reader, not sprayed.

One more weighting that changes how you write: a thoughtful comment from someone in a relevant field counts far more than a like. Comments are treated as much stronger signal - some third-party analyses put the multiplier at roughly 10-15x (illustrative). The exact number doesn’t matter. The direction does: a reply beats a react, and a react beats a scroll-past.

Why follower count quietly stopped mattering

Follower count is a lagging indicator of past interest. The feed cares about predicted interest for this reader on this post. A 50,000-follower account that posts recycled motivational lines gets tested, gets skipped inside T_skip, and gets throttled - same as anyone. The follower number bought a slightly bigger initial test audience, nothing more.

This is good news if you’re a founder with a small following. You are not out-gunned. You’re one strong first hour away from a post that reaches people who’ve never heard of you.

How to write for signal

Signal-first writing is a craft with a few repeatable moves.

Earn the first two seconds

You are writing against T_skip. The first line and a half is visible before the “…see more” cut, and that fragment decides whether the clock even starts. Kill the throat-clearing.

• Weak: “I’ve been thinking a lot lately about hiring, and I wanted to share some lessons.”
• Signal: “We hired our first salesperson six months too early. Here’s what it cost us.”

The second version front-loads a specific claim with tension. Someone in SaaS hiring has to open it. If hooks are your bottleneck, a LinkedIn hook analyzer will tell you fast whether a line pulls or stalls.

Engineer for dwell, not for the like

Likes are cheap; time is the asset. Structure the whole post so a reader who opens it keeps going.

• Short lines and white space (a wall of text kills dwell - people bounce).
• Put a genuine payoff below the fold so opening is rewarded.
• Formats that demand slower reading - a carousel someone swipes through, a story that unfolds - accumulate more dwell per reader. That’s a large part of why document posts consistently out-reach plain text (engagement figures vary by source and are illustrative). A tight carousel outline turns one insight into 6-8 swipes of dwell.

Design the first comment on purpose

You want replies in the golden hour, so hand people something to reply to. End with a real question, or a claim someone in your field will want to challenge. “Curious what others think” gets nothing. “I think outbound is dead for sub-₹50L-ACV SaaS in India - tell me I’m wrong” gets a fight worth watching, and the algorithm reads that fight as depth.

Post when your people are actually scrolling

The golden hour only works if your first-degree network is online to spend it. For an Indian B2B audience that clusters around commute and mid-morning windows on weekdays, a Saturday-night post has no one to run the early test. Use a best-time-to-post reference for your specific audience rather than borrowing a US-centric schedule.

Write for one reader, not the room

Relevance ranking rewards narrow. A post titled “Marketing tips for everyone” is relevant to no one in particular, so it ranks for no one. “The 3-line cold email that booked us 4 demos last week” is razor-relevant to a specific reader - and that reader’s dwell and comment are exactly the early signal the feed is waiting for.

The scoreboard to actually watch

Stop screenshotting follower milestones. Track the numbers that map to the ranking machine: comments in the first hour, average dwell (LinkedIn’s analytics increasingly expose it), and reach beyond your immediate network. Those tell you whether you’re producing signal or noise. For more teardowns of what’s working right now, the Clanner blog and our LinkedIn playbook go deeper on specific formats.

Writing for signal every single day is genuinely hard, which is the whole reason Clanner reads what your audience is actually engaging with and drafts posts in your voice built around hooks and structure that earn dwell - so your calendar fills with signal, not filler.