> **Methodology in brief.** First-party LinkHub data: **657,722 real LinkedIn comments** and their impressions, segmented by **hour posted (UTC)** and by **day of the week**. Raw hours are in **UTC**; we give an approximate conversion for a French audience (Paris time ≈ UTC+1 in winter, UTC+2 in summer). Complemented by public industry studies on **posts** (Buffer, Hootsuite, Sprout Social), cited and dated.

## Key takeaways

- **The best hours to comment are weekday mornings**: the **6–13h UTC** window concentrates the strongest impressions (average ~197-203), i.e. **≈ 8am-3pm Paris time** in summer. *(LinkHub, n = 657,722)*
- ⚡ **The #1 factor for a comment isn't the hour — it's speed.** Commenting within minutes of a post going live (the *golden hour*) matters far more than the time slot. The opposite of **posts**, whose publish hour is nearly negligible. *(see [LinkPost's algorithm study](https://www.linkpost.gg/fr/playbooks/linkedin-algorithm-playbook-2026) and our [delay study](/en/blog/quand-commenter-sur-linkedin))*
- The **median visibility peak** sits around **6–7h UTC** (median 43-45), well above the evening. Visibility **declines steadily through the afternoon and evening** (median ~17-25 at 20–23h UTC).
- **Weekdays beat weekends**: Monday to Friday, median impressions stay stable (~35-36). Weekends have **lower volume and a lower median** (Saturday 30, Sunday 28) → less reliable, despite a few averages inflated by outliers.
- Consistent with studies on **posts**: Buffer and Hootsuite place the best days **Tuesday to Thursday** and advise against weekends. *(Buffer 4.8M posts, Hootsuite 2025)*
- This article covers **absolute hours + days**. For the **ideal delay after a post is published**, see our dedicated study: [when to comment on LinkedIn](/en/blog/quand-commenter-sur-linkedin).

## 1. Hours vs delay: two different questions

There are two ways to talk about "timing" on LinkedIn, and they answer different questions:

- **The delay after publishing** — how long after a post goes out should you comment? That's the topic of our [study "when to comment"](/en/blog/quand-commenter-sur-linkedin): the golden window is **0–30 min**.
- **The absolute hour + day** — at what time of day, and which day, is it best to be active? That's the topic here.

The two combine: being present **at the right time of day** raises the odds of being there **within the half hour** following a post from your targets — the window where [the LinkedIn 2026 algorithm](/en/blog/algorithme-linkedin-2026) distributes most of the reach.

> **A word from Yannis Haismann, founder of LinkHub.**
> "After analyzing hundreds of thousands of comments, my conviction is clear: for a comment, what matters most isn't the hour — it's **speed**. Commenting within minutes of a post going live, during the *golden hour* when the algorithm distributes most of the reach, is by far the most decisive factor. It's almost the opposite of posts: LinkPost's algorithm study puts it bluntly — *"the hour you publish is 1% of the result; the content is 99%"*. For comments, being first to react changes everything. So treat the time of day as a way to **be present at the right moment**; the real battle is won in the half hour after the post goes out."
> — Yannis Haismann, based on [LinkPost's LinkedIn Algorithm 2026 study](https://www.linkpost.gg/fr/playbooks/linkedin-algorithm-playbook-2026).

## 2. What are the best hours to comment on LinkedIn?

Across **657,722 real comments**, we measured impressions by the hour the comment was posted. ⚠️ **Hours are in UTC** — convert for your audience's timezone (Paris time ≈ UTC+1 winter / UTC+2 summer).

| Window (UTC) | Avg. impressions | Median impressions | Reading |
|---|---|---|---|
| **6–7h** | ~197 | **43-45** | Median peak — maximum visibility |
| **7–11h** | ~197 | high | Strong morning plateau |
| **11–13h** | ~197-203 | high | Midday still very solid |
| 13–17h | declining | declining | Afternoon decline |
| **20h** | ~151 | ~17-25 | Clearly weaker evening |
| **23h** | ~135 | ~17-25 | Late-evening trough |

**Reading.** **Median** visibility peaks in the **early morning (6–7h UTC)**, then holds a **strong plateau through midday (≈ 13h UTC)**. It **declines in the afternoon** and drops in the evening. In short, for a French audience: **commenting in the morning, roughly 7am-2pm Paris time** (summer), maximizes the odds of being seen.

This is consistent with what studies on **posts** show — but note these studies are about publishing **posts**, not **comments**. Buffer (4.8M posts) and Hootsuite place the strongest engagement on weekdays, with a strong **morning** signal ([Hootsuite: Tuesday/Wednesday 8–9am](https://blog.hootsuite.com/best-time-to-post-on-linkedin/)). Our data, **on the comments side**, confirms the same morning pattern at scale.

To be there when the right posts go out, the ideal is to watch your targets: that's exactly the role of [personalized feeds](/en/features/feeds-personnalises) — gather prospects and key creators to see their posts as soon as they go live.

## 3. What is the best day to comment?

On the **day of the week** side, two findings to read honestly:

- **Volume is overwhelmingly on weekdays.** Monday to Friday, people comment far more than on weekends.
- **Median impressions are stable on weekdays** (~35-36, Monday to Friday) and **lower on weekends** (Saturday **30**, Sunday **28**).

An important nuance: the weekend shows a **higher** average of impressions (Saturday ~217, Sunday ~232) **even though its median is lower**. That gap is the classic sign of a distribution **inflated by a few outliers**: a handful of viral comments pull the average up, but the "typical" weekend comment is **seen less** than a weekday one. That's why we lean on the **median** (more robust): **weekdays remain more reliable.**

| Period | Median impressions | Avg. impressions | Volume |
|---|---|---|---|
| **Monday-Friday** | **~35-36** | moderate and stable | **high** |
| Saturday | 30 | ~217 (outliers) | low |
| Sunday | 28 | ~232 (outliers) | low |

Third-party studies on **posts** point the same way: [Buffer](https://buffer.com/resources/best-time-to-post-on-linkedin/) and [Hootsuite](https://blog.hootsuite.com/best-time-to-post-on-linkedin/) recommend **Tuesday to Thursday** and consider weekends the worst time. [Sprout Social](https://sproutsocial.com/insights/best-times-to-post-on-linkedin/) confirms the weekday advantage.

## 4. The concrete recommendation

- **When**: comment on **weekdays**, in the **morning** — roughly **7am-2pm Paris time** (≈ 6–13h UTC). Avoid evenings and weekends for steady volume *(see our [15-30 min/day commenting routine](/en/blog/routine-commentaires-linkedin))*.
- **How**: combine the hour (this article) with the **delay after publishing** — commenting [within the half hour following the post](/en/blog/quand-commenter-sur-linkedin) remains the strongest lever.
- **With what**: watch your targets via [personalized feeds](/en/features/feeds-personnalises) so you don't miss the golden window. To spot the right profiles to follow, see our [AI profile recommendation](/en/features/ia-recommandation-profils).

## FAQ

**What are the best hours to comment on LinkedIn?**
Weekday mornings: our data (657,722 comments) places the median visibility peak around **6–7h UTC** and a strong plateau through ~13h UTC, i.e. about **7am-2pm Paris time** in summer. Adjust for your audience's timezone.

**What is the best day to comment?**
A weekday (Monday to Friday): median impressions are stable there (~35-36), versus 30 (Saturday) and 28 (Sunday).

**Are weekends really worse?**
Yes for the "typical" comment: its median is lower. The weekend average looks higher but it's inflated by a few viral outliers — hence lower reliability.

**Hours vs delay after publishing: what's the difference?**
The absolute hour is the time of day (this article). The delay is the time elapsed since the post was published — see [when to comment on LinkedIn](/en/blog/quand-commenter-sur-linkedin), where the golden window is 0–30 min.

## Sources & methodology

- **LinkHub dataset** — **657,722 comments** segmented by hour (UTC) and day of week; average and median impressions. FR conversion noted (Paris time ≈ UTC+1 winter / UTC+2 summer; depends on the audience's timezone).
- [Buffer — 4.8M posts](https://buffer.com/resources/best-time-to-post-on-linkedin/) · [Hootsuite 2025](https://blog.hootsuite.com/best-time-to-post-on-linkedin/) · [Sprout Social 2026](https://sproutsocial.com/insights/best-times-to-post-on-linkedin/) *(these studies cover **posts**, not comments)*