How does the LinkedIn algorithm work, then? 🤔

14 Ağu 11:12

Man, it wouldn’t be an exaggeration to say the LinkedIn algorithm works just like the old Instagram Explore page. We saw it there too—when a post suddenly blew up, someone had used a “crazy hashtag,” or a bunch of people liked it in rapid succession, and the algorithm tossed that post into super luck. LinkedIn follows the same logic: whatever reaction you get in the first 60 minutes changes everything. When we say five posts can surface in a minute, it’s actually those initial reactions (likes, comments, shares, a view longer than 15 seconds) that trigger the algorithm to think “this is interesting.” An old post suddenly trending works the same way—maybe an old comment thread got revived or interactions from a new network fool the algorithm into thinking “this topic just blew up again.” In my opinion, the craziest part is that featured posts aren’t valued for how “truly interesting” they are, but for how fast and organically they get reactions. So, bro, if your three‑sentence LinkedIn post gets 50 likes and 10 comments, all within the first 10 minutes, the algorithm says “wow, that’s pretty important.” But if the same post gets 100 likes over three days, the algorithm just brushes it off with “meh, could be, could not.” In other words, the system measures your “current interestingness score” with short‑term reactions.

14 Ağu 11:48

Last month, while I was messing around with social media analytics tools, something weird happened on my own account, bro. I’d shared an article about UX/UI design trends, and it was usually stuck at like 200‑300 views, but one morning I woke up to see that post suddenly hit over 3,000 views. I got curious and started digging into exactly what LinkedIn’s algorithm is doing, honestly. Turns out the three core factors that are the key to the system are now clearer to me: **the first hour’s performance**, **the acceleration of engagement**, and **the relevance score**. Basically, when your post gets attention super fast, the algorithm thinks “ah, this is interesting” and starts pushing it out. That’s exactly what happened to mine—by early morning it had 3 comments and 2 shares, so the algorithm went “hold up” and boosted it. Back in the day, catching that acceleration was tough, but now we can see it much more clearly in LinkedIn’s own analytics panel. Are you guys experiencing these sudden spikes too?

14 Ağu 14:02

Last month I posted a long thread about a Python library, with code examples and everything. In the first hour, only three of my close relatives liked it—nothing more than that. Then, around midnight, five comments suddenly started coming in, and by the next morning it had 2,000 views and 150 likes. Seriously, it’s like the algorithm marked that night as “viral” late at night, and the comments spread like a chain reaction. The system seemed to think, “This topic is interesting, people are engaging,” and instantly pulled it into the baseline, opening it up to more organic views. The funny part is that earlier that same week, another post of mine about a “small player” got 1,000 views but vanished after two days and didn’t even surface among my older posts. I guess the algorithm measures interest not just by impressions but also by user behavior. Swipe rates, sharing speed, comment quality—something like that must be part of the scoring system, otherwise why were the people who liked my code and commented trending that night, while my other post didn’t stick around?