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OpenClaw🦞 engagement report

@openclaw - 545K followers on X

Measured over 9 original posts from a 30-day window, last computed on August 27, 2026.

Engagement

Middle of its size range
Per follower
0.042%
of 545K followers
Per impression
0.35%
65K views on a typical post
Reach
12.1%
of its followers see a post
Typical post
229
interactions (median)
Saved
0.089%
58 bookmarks on a typical post
Posting rate
0.5/day
active 30% of days
Peak time
15:00 UTC
Friday

A typical post picks up 229 interactions against 545K followers, an engagement rate of 0.042%. Measured over 9 original posts, its engagement rate beats 53% of 3,792 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 65K times each, and 0.35% of those impressions turn into an interaction. That is about 12.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.5 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 9 posts sampled, 22% carry an image or video and 78% link out. The account's strongest tracked post pulled 11K interactions, about 46x its own typical post.

Measured over 9 original posts from a 30-day window, last computed on August 27, 2026.

Compared with accounts its own size

OpenClaw🦞's engagement rate beats 53% of the tracked X accounts closest to it in follower count (3,792 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 26% 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 0.042%, OpenClaw🦞 sits above the 25th percentile of the 36,759 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%
p99160.4%
Engagement rate as a share of followers, across the 36,759 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,964 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 percentile160.4%

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 15:00 UTC, and Friday 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 15:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%51K
01:00 UTC-2%52K
02:00 UTC-3%50K
03:00 UTC-4%54K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%52K
08:00 UTC-4%61K
09:00 UTC-3%70K
10:00 UTC-2%72K
11:00 UTC-3%79K
12:00 UTC-2%87K
13:00 UTC-3%95K
14:00 UTC-4%98K
15:00 UTC-2%101K
16:00 UTC-4%99K
17:00 UTC-2%91K
18:00 UTC-1%85K
19:00 UTC-1%80K
20:00 UTC-1%75K
21:00 UTC-1%66K
22:00 UTC-2%58K
23:00 UTC-2%52K
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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%232K
Monday0%290K
Tuesday-2%281K
Wednesday-1%252K
Thursday-2%245K
Friday-3%254K
Saturday+3%228K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jun 29, 202646x their median

    OpenClaw is now on iOS + Android 🦞 📱 Native mobile apps, finally 💬 Agents in your pocket 🔔 Channels, tasks, replies on the go Run agents from wherever your thumbs are. iOS: https://t.co/7LHHc9htgM Android: https://t.co/X0Wuh2uA8w

    8.3K1.1K5446514.6M viewsView on X
  • Aug 12, 202611x their median

    Grok 4.6 from @SpaceXAI is LIVE on OpenClaw. https://t.co/UxaNkX8JZd

    2.3K1077123109K viewsView on X
  • Jul 2, 20269.1x their median

    I want to introduce myself. Hi I’m Colin, I did a lot of the @openclaw iOS UI, so as one of the volunteers responsible, I accept my public flogging. I’m just a maintainer with limited time and too much excitement about mobile agents. Roasts fair. Have a dialog with me tell me it’s bad and how to make it better. Come join me in the discord so we can make it better as a community.

    1.8K4021921554K viewsView on X
  • Jul 4, 20266.2x their median

    🦞 #100000 100,000 issues + PRs in 222 days. 🛠️ built by volunteers 🌍 every timezone, every day 🧡 zero VC, one lobster Number 100000 itself? A community bug report. We'll fix that one too. Thank you for building this with us.

    1.2K797034188K viewsView on X
  • Jul 14, 20266.0x their median

    OpenClaw v2026.7.1 is out, with 3,063 contributions from 532 contributors! • Web UI and onboarding overhauls • Major iOS, Android and MacOS app work • Telegram, Slack, Discord, and iMessage improvements • GPT-5.6, Muse Spark 1.1, and MORE https://t.co/NAOyTZb4gB

    1.1K12110038251K viewsView on X
  • Jun 21, 20265.2x their median

    OpenClaw v2026.6.9 is out, with a focus on paper cuts! 💬 Richer Telegram delivery 👏 Steadier agent recovery 🧬 Stronger Codex integration 📦 Slimmer distribution 👌 Improvements in search and skills https://t.co/GOoHDXU8MZ

    993978425136K viewsView on X
  • Jul 1, 20265.0x their median

    v2026.6.11 has dropped. This release focuses on the rough edges that make OpenClaw feel less dependable: misplaced replies, stuck sends, reconnects, model setup failures, and more. Beware, this release is boring. https://t.co/GAosf5zCgA

    961997216141K viewsView on X
  • Jun 16, 20265.0x their median

    🦞 OpenClaw 2026.6.8 just dropped. 💬 Richer Telegram + WhatsApp ⚡️ Sharper agent & Gateway recovery 🧠 New models + tougher memory 📊 Native /usage footers 📱 Smoother WebChat & iOS Let’s dig in! https://t.co/xloBai6XCF

    870901572185K viewsView on X
  • Jul 8, 20264.6x their median

    The lobsters now live forever. Introducing the OpenClaw Foundation 🦞 https://t.co/cZWVQ9WCfC

    8761046014140K viewsView on X
  • Jul 6, 20264.1x their median

    OpenClaw landed on @huggingface local apps 🦞🤝🤗 1. Pick any GGUF/MLX model on hf 2. Copy the openclaw onboard setup 3. Volla you've got a tool-calling agent running fully local. no cloud, no keys, no one watching. Get your claw localmaxxing. resistance is futile 🦞 https://t.co/Dxq46dT0tu

    7801063224118K 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.

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Reading these numbers

A typical post picks up 229 interactions against 545K followers, an engagement rate of 0.042%. Measured over 9 original posts, its engagement rate beats 53% of 3,792 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 65K times each, and 0.35% of those impressions turn into an interaction. That is about 12.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.5 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 9 posts sampled, 22% carry an image or video and 78% link out. The account's strongest tracked post pulled 11K interactions, about 46x its own typical post.

What is OpenClaw🦞's engagement rate on X?
OpenClaw🦞 (@openclaw) has an engagement rate of 0.042%, based on the median interactions across 9 original posts from the last 30 days against 545,007 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.042%, OpenClaw🦞 sits above the 25th percentile of the 36,759 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 @openclaw have real engagement?
Its engagement rate beats 53% of the tracked X accounts closest to it in follower count (3,792 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 @openclaw post?
Most posts go out around 15:00 UTC, and Friday is its busiest day, at roughly 0.5 posts per day across the measured window.

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