Everyone avoids weekends on LinkedIn. That's exactly why it works: across 359,000 posts analyzed, the median like count rises to 20 on weekends vs. 17 on weekdays.
In short
→ The median like count is 20 on weekends vs. 17 on weekdays — +18% for the median creator → Publication volume drops roughly 3× on Saturday and Sunday: your post faces a fraction of the usual competition → On average, Sunday crushes weekdays: 124 likes vs. ~80 on working days → The edge comes from a less crowded feed, better dwell time, and early velocity that the algorithm reads more clearly → The "Tuesday 9am" myth is a placebo — it's a peak-competition slot, not a magic window
"Everyone posts on weekdays" — and that's the problem
The logic behind "post when people are at work" seems obvious. But it ignores the other side of the equation: everyone posts at the same time.
Across our corpus of 516,144 posts (9.6M snapshots, 30,843 profiles), the volume distribution confirms this imbalance. Monday through Friday, the vast majority of content piles up. Saturday and Sunday? Roughly 3× fewer posts than an average weekday.
The result: a post published on the weekend faces a fraction of the competition. LinkedIn's algorithm distributes posts by pitting them against what's published at the same time. Fewer competing posts means more space in your network's feed — and for longer.
This is exactly what our analysis of 516,000 LinkedIn posts confirms: the median is the indicator that resists viral outliers. And that median gives a structural edge to the weekend.
The raw numbers: weekdays vs. weekends
| Period | Median (likes) | Average (likes) | |---|---|---| | Weekdays (Mon–Fri) | 17 | ~80 | | Saturday | ~20 | 116 | | Sunday | ~20 | 124 |
Sunday's average (124) far outpaces weekdays (~80). But averages are sensitive to breakout posts. The median at 20 vs. 17 is the robust indicator. It says the middle-of-the-pack creator performs better on weekends — not just the rare viral post pulling the average up.
Note: this study is observational. Correlation is not causation, and sample bias is possible. Full methodology in our playbook.
Why does the weekend outperform?
Three solid hypotheses — none invented:
Competition is divided by 3. Fewer posts in circulation means more room in the feed. The algorithm has less content to surface to your network, so your post stays exposed longer on each impression.
Dwell time is better. On weekends, your audience isn't in meetings or frantically checking work notifications. They scroll LinkedIn more calmly and stop longer on individual posts. Dwell time is the number-one signal the LinkedIn algorithm uses to decide whether to amplify a post. The more time people spend on your content, the wider it gets distributed.
Early velocity is more legible. With fewer posts in circulation, the first reactions your content gets stand out more clearly in the overall signal. The algorithm reads them as strong engagement and extends distribution accordingly.
The "Tuesday 9am" rule is a placebo
Our playbook — built on 438,413 posts — makes it clear: the Tuesday 9am myth doesn't hold up. That slot concentrates heavy competition, not a more receptive audience. The same logic applies to every publication peak: the more people posting at the same time, the more each post drowns in the noise.
The right question isn't "when is my audience online?" — it's "when does my post encounter the least noise?" Weekends check that box structurally.
For a deeper look at timing, see the dedicated analysis on the best time to post on LinkedIn: UTC hours, CET timezone, and medians by slot.
What to do
→ Test Saturday or Sunday on your next important post — as an addition to your weekday schedule, not a replacement → Publish in the morning (9–11am local time): your audience is active and LinkedIn has time to amplify before noon → Reply to the first comments within the hour: early velocity matters just as much on weekends as on weekdays → Don't cut your weekday frequency if it's working: the goal is to extend your presence, not shift it → Analyze your own stats: the global median is a starting point — your audience may have its own patterns
Before you publish, run your post through the free LinkPost analyzer: it scores it on 33 virality criteria, independent of timing. The day optimizes distribution; the content builds the foundation.
If you want to schedule your weekend posts without thinking about it, the LinkPost content calendar handles the planning automatically — you pick the slot, it publishes at the right time.
Observational study by LinkPost (2020–2026, 516,144 posts, 30,843 profiles, 62% French-language content). Results are correlations. Sample bias possible. Full methodology and limitations in the playbook.
About the author

Yannis Haismann
Co-founder of LinkPost
Yannis writes about LinkedIn content creation, virality prediction and the algorithm. He builds LinkPost, calibrated on more than a million analyzed posts.
See the algorithm studyFree to start · predict virality before you publish