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peaq engagement report

@peaq - 324K followers on X

Measured over 13 original posts from a 30-day window, last computed on September 4, 2026.

Engagement

Middle of its size range
Per follower
0.101%
of 324K followers
Per impression
1.42%
23K views on a typical post
Reach
7.16%
of its followers see a post
Typical post
329
interactions (median)
Saved
0.03%
7 bookmarks on a typical post
Posting rate
1.47/day
active 50% of days
Peak time
10:00 UTC
Wednesday

A typical post picks up 329 interactions against 324K followers, an engagement rate of 0.101%. Measured over 13 original posts, its engagement rate beats 65% of 6,874 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 23K times each, and 1.42% of those impressions turn into an interaction. That is about 7.18% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 10:00 UTC, and Wednesday is the busiest day of the week. Of the 13 posts sampled, 69% carry an image or video, 23% are part of a thread and 62% link out. The account's strongest tracked post pulled 488 interactions.

Measured over 13 original posts from a 30-day window, last computed on September 4, 2026.

Compared with accounts its own size

peaq's engagement rate beats 65% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 8 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 57% 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 0.101%, peaq sits above the 50th percentile of the 66,258 accounts in this comparison. That places it in the above the median band, which runs 0.1% to 0.499%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.6%
Engagement rate as a share of followers, across the 66,258 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,968 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 percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.6%

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 10:00 UTC, and Wednesday 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: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video69% of posts+111%+108% to +115%34K
Outbound link62% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 69% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 62% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 420 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Jul 30, 2026

    Introducing peaq Economics 2.0: upgraded to set machines free Most token models flinch when price drops. peaq's new economics don't. Designed to turn real machine adoption into omnichain revenue, structural demand for $PEAQ, and a tighter supply through bonding and burn mechanisms.

    37374241754K viewsView on X
  • Aug 27, 2026

    Starting today, you can see every major thing peaq builds and ships in one place. 2026 so far: → 49 milestones → 14 product releases → 20 integrations https://t.co/0jMjVDiU9R

    34771331233K viewsView on X
  • Aug 25, 2026

    Unforgeable, hardware-level signatures for any machine running peaqOS are here With P256 Signatures your robot can now authenticate onchain using its chip Nothing to copy, nothing to leak https://t.co/3079UGv2Ua

    35568181642K viewsView on X
  • Aug 12, 2026

    Unitree is going public It’s time for their robots to do business The peaqOS Unitree App makes it possible Live now https://t.co/MfEjfkOSju

    34166241444K viewsView on X
  • Aug 17, 2026

    Korea's public data is now available to robots and machines running peaqOS Any machine on peaq's https://t.co/DeR6AB2g8r can directly query https://t.co/TNKgDAdgXi, Korea's official open data portal Charger availability, precise weather conditions, air quality and much, much more 11,867 open government APIs behind one portal: https://t.co/1isC5Rszhh

    3346025838K viewsView on X
  • Jul 29, 2026

    Introducing peaqOS Monetize Turn your idle machines into money makers → A machine registers its idle resources: compute, storage, data, etc. → The networks that buy those resources discover it and connect → Payments settle onchain to the machine's wallet A key step step towards machines being able to sell every good and service they can offer, any time Live now

    3255315635K viewsView on X
  • Aug 31, 2026

    Your peaq pulse for August is here 🔥 → @worldnetwork ID went live on peaqOS: robots can now verify real humans → P256 landed: unforgeable signatures for any machine → Korea's public data was made accessible to every robot running peaqOS → peaqOS Unitree App went live: Unitree robots can do business onchain → Shipped: one page to track every major thing peaq ships Links + builder updates below ↓

    2644919522K viewsView on X
  • Sep 3, 2026

    Predictive intelligence by @AlloraNetwork is now live for every robot and machine running peaqOS Machines can now read Allora's forecasts, competing models weighed into one answer. And machines with idle compute can register as Allora workers and earn on the predictions they improve. → peaqOS provides identity, discovery, and coordination → Allora's model network produces the forecasts, and rewards the machines that improve them https://t.co/0l5x0Uha2H

    2495616824K viewsView on X
  • Aug 5, 2026

    Your peaq pulse for July is here 🔥 → Economics 2.0 dropped: machine adoption → token demand → peaqOS Monetize went live: idle machines → money makers → $PEAQ crossed $10B in lifetime volume → The Foundry by @machinedotfun launched: peaq + CodecFlow get hardware teams shipping fast → peaqOS Stream added P2P delivery: machines sell data directly → @virtuals_io agents went live on https://t.co/DeR6AB2g8r: machines shop for themselves → @Acurast brought phone-powered compute to every machine running peaqOS Summer break what? Dive in ↓

    2644419223K viewsView on X
  • Jul 28, 2026

    Two years ago, peaq became the lead investor in @borderless_cap’s $100M fund alongside @solana, making peaq a larger backer of @GEODNET Great to see the market starting to recognize the value of real machines, real infrastructure, and real-world utility Congrats to GEODNET on the momentum 🔥 https://t.co/fftfJ6xvUz

    2623320227K 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 329 interactions against 324K followers, an engagement rate of 0.101%. Measured over 13 original posts, its engagement rate beats 65% of 6,874 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 23K times each, and 1.42% of those impressions turn into an interaction. That is about 7.18% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 10:00 UTC, and Wednesday is the busiest day of the week. Of the 13 posts sampled, 69% carry an image or video, 23% are part of a thread and 62% link out. The account's strongest tracked post pulled 488 interactions.

What is peaq's engagement rate on X?
peaq (@peaq) has an engagement rate of 0.101%, based on the median interactions across 13 original posts from the last 30 days against 323,987 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.101%, peaq sits above the 50th percentile of the 66,258 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 @peaq have real engagement?
Its engagement rate beats 65% of the tracked X accounts closest to it in follower count (6,874 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 @peaq post?
Most posts go out around 10:00 UTC, and Wednesday is its busiest day, at roughly 1.47 posts per day across the measured window.

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