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Slack engagement report

@SlackHQ - 435K followers on X

Measured over 17 original posts from a 30-day window, last computed on August 30, 2026.

Engagement

Middle of its size range
Per follower
0.017%
of 435K followers
Per impression
0.491%
15K views on a typical post
Reach
3.37%
of its followers see a post
Typical post
72
interactions (median)
Saved
0.123%
18 bookmarks on a typical post
Posting rate
1.73/day
active 27% of days
Peak time
18:00 UTC
Thursday

A typical post picks up 72 interactions against 435K followers, an engagement rate of 0.017%. Measured over 17 original posts, its engagement rate beats 38% of 3,758 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 15K times each, and 0.491% of those impressions turn into an interaction. That is about 3.37% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 18:00 UTC, and Thursday is the busiest day of the week. Of the 17 posts sampled, 71% carry an image or video, 18% are part of a thread and 47% link out. The account's strongest tracked post pulled 678 interactions, about 9.4x its own typical post.

Measured over 17 original posts from a 30-day window, last computed on August 30, 2026. Recurring tag: #df26.

Compared with accounts its own size

Slack's engagement rate beats 38% of the tracked X accounts closest to it in follower count (3,758 accounts, accounts of similar size (decile 7 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 33% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.017%, Slack sits above the 25th percentile of the 36,521 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.

p100.002%
p250.012%
p50 (median)0.08%
p750.434%
p902.10%
p99160.7%
Engagement rate as a share of followers, across the 36,521 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 107,166 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.002%
25th percentile0.012%
50th percentile0.08%
75th percentile0.434%
90th percentile2.10%
99th percentile160.7%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 18:00 UTC, and Thursday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 18:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 18:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%50K
01:00 UTC-2%51K
02:00 UTC-3%50K
03:00 UTC-4%53K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%52K
08:00 UTC-4%60K
09:00 UTC-3%69K
10:00 UTC-2%72K
11:00 UTC-3%78K
12:00 UTC-2%86K
13:00 UTC-2%94K
14:00 UTC-4%97K
15:00 UTC-2%100K
16:00 UTC-3%97K
17:00 UTC-2%90K
18:00 UTC-1%84K
19:00 UTC-2%79K
20:00 UTC-1%74K
21:00 UTC-1%66K
22:00 UTC-2%57K
23:00 UTC-2%51K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Thursday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%230K
Monday0%286K
Tuesday-2%276K
Wednesday-1%251K
Thursday-1%244K
Friday-3%252K
Saturday+3%227K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 20, 20269.4x their median

    https://t.co/QYh53fsL3b

    566502042123K viewsView on X
  • Aug 20, 20268.1x their median

    Say hello to Slack Code in Slack. 👋 AI work isn’t a solo task anymore, it’s multiplayer. With code channels, you and your team can guide AI agents like @claudeai Code, Claude Tag, Devin from @cognition, @github Copilot, @ChatGPT, and @vercel agents together in real time. https://t.co/ZtctdZ9rZ5

    432703148156K viewsView on X
  • Aug 28, 20267.1x their median

    This is BIG. (You'll see.) 6 new Slackbot features. Follow the thread to see them all. 🧵

    460142214190K viewsView on X
  • Aug 20, 20264.8x their median

    Introducing @SlackHQ Code in Devin. Now, Devin proactively creates dedicated code channels to keep work focused. Read more about how we tuned Devin’s personality in Slack: https://t.co/rRtWncnQgb https://t.co/CisZFVbYWc

    27935141644K viewsView on X
  • Aug 24, 20262.3x their median

    You saw it live: Building will never be the same. (And neither will Slack!) See what happens when AI work becomes teamwork. 👇 https://t.co/0YAeW72hxC

    13182412.2M viewsView on X
  • Aug 21, 20262.2x their median

    Watch Slack Code change the game. 👇 @github spins up a code channel, connects it to the repository, and gets to work on a fix. The team watches, weighs in, and builds alongside it, all in real time. Multiplayer AI? Check. All in Slack? Check. Check out the video? Check. https://t.co/30RIlplVzR

    135157419K viewsView on X
  • Aug 26, 20262.1x their median

    Now building is a team sport. 🤖 With Add to Slack, you can deploy custom AI agents directly into your channels in seconds. Get started with any of our 10 partner platforms: @NanoClaw_AI, @Lovable, @hyperagentapp, @Superhuman, @n8n_io, @vercel, @OpenAI, @LangChain, @runlayer, and @getskydive. https://t.co/aAAb2Mg3pe

    1211310829K viewsView on X
  • Aug 24, 2026

    Kinda chic to reply in thread

    67718215K viewsView on X
  • Aug 20, 2026

    The more builders you bring to the table, the better the build. Designers. Engineers. Agents. PMs. Anyone. Slack Code creates a dedicated space to build together. All in the open, all in Slack. https://t.co/GuzHuAAwFI

    5865314K viewsView on X
  • Aug 27, 2026

    Now you can build in your favorite AI tool and deploy straight to Slack in one click. ⚡️ Get started with these partners: @hyperagentapp @LangChain @Lovable @n8n_io @NanoClaw_AI @OpenAI @runlayer @getskydive @Superhuman @vercel

    5247317K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

Recurring topics

#df26

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 72 interactions against 435K followers, an engagement rate of 0.017%. Measured over 17 original posts, its engagement rate beats 38% of 3,758 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 15K times each, and 0.491% of those impressions turn into an interaction. That is about 3.37% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 18:00 UTC, and Thursday is the busiest day of the week. Of the 17 posts sampled, 71% carry an image or video, 18% are part of a thread and 47% link out. The account's strongest tracked post pulled 678 interactions, about 9.4x its own typical post.

What is Slack's engagement rate on X?
Slack (@SlackHQ) has an engagement rate of 0.017%, based on the median interactions across 17 original posts from the last 30 days against 434,678 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.017%, Slack sits above the 25th percentile of the 36,521 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @SlackHQ have real engagement?
Its engagement rate beats 38% of the tracked X accounts closest to it in follower count (3,758 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @SlackHQ post?
Most posts go out around 18:00 UTC, and Thursday is its busiest day, at roughly 1.73 posts per day across the measured window.

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