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Perceptron Network engagement report

@PerceptronNTWK - 244K followers on X

Measured over 13 original posts from a 30-day window, last computed on September 26, 2026.

Engagement

Top quarter for its size
Per follower
0.24%
of 244K followers
Per impression
4.06%
15K views on a typical post
Reach
5.91%
of its followers see a post
Typical post
589
interactions (median)
Saved
0.035%
5 bookmarks on a typical post
Posting rate
0.47/day
active 47% of days
Peak time
14:00 UTC
Friday

A typical post picks up 589 interactions against 244K followers, an engagement rate of 0.24%. Measured over 13 original posts, its engagement rate beats 77% of 15,519 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 15K times each, and 4.06% of those impressions turn into an interaction. That is about 5.93% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.47 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 14:00 UTC, and Friday is the busiest day of the week. Of the 13 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 52K interactions, about 88x its own typical post.

Measured over 13 original posts from a 30-day window, last computed on September 26, 2026.

Compared with accounts its own size

Perceptron Network's engagement rate beats 77% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 9 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 84% 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 0.24%, Perceptron Network sits above the 50th percentile of the 157,102 accounts in this comparison. That places it in the above the median band, which runs 0.128% to 0.604%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 157,102 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,052 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 percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

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 14:00 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video100% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 100% 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.
  • 0% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 277 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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

  • May 6, 202688x their median

    Not everyone gets access. 👀 If you’re part of one of these communities, you already know what this means. Submit your wallet in Discord to redeem your exclusive role + unlock what’s coming next. 🎯 Discord: https://t.co/hYRtRJeVjK 🔗 The gate is open… but not for everyone. 🟠 #PerceptronNTWK #NodeAndProud #AI #DecentralizedAI

    15K14K23K95228K viewsView on X
  • May 21, 202625x their median

    Most data networks see the internet from a handful of servers. Perceptron sees it from 150+ countries - through real devices, run by real people. Human-in-the-loop signal intelligence. At global scale. #PerceptronNTWK #AI #DecentralizedAI #ATEOV https://t.co/bbXG75b4m6

    4.5K3.9K6.1K4049K viewsView on X
  • May 26, 202620x their median

    "The AI stack is scaling fast. But the missing layer is still data acquisition. @sama has said that data is one of the major bottlenecks in AI development. AI needs fresh, real-world data that can't be pulled from static training sets. That's what Perceptron is building. https://t.co/oon9cbatNa

    3.7K3.1K5.2K1244K viewsView on X
  • May 28, 202619x their median

    What 800K+ nodes means in practice: Perceptron doesn't depend on just one source. It has a distributed surface across 150+ countries. The ability to see the internet from every angle, all at once. No centralized team can replicate this capability. https://t.co/W5fUXyaYF7

    3.5K3.0K4.9K2146K viewsView on X
  • May 11, 202619x their median

    We’re not waiting for big tech to own the data layer. We’re building it from the ground up - one node, one quest, one human at a time. https://t.co/aHRs46dCuv

    3.5K3.0K4.8K1339K viewsView on X
  • Jun 4, 202619x their median

    Human-backed data is not about adding sentiment to AI. It's about turning human contributions into data AI can actually use. Intelligence can only go so far. Some things, only a human can catch. Perceptron is building the bridge. https://t.co/YfnxYT1b9A

    3.4K2.9K4.8K1941K viewsView on X
  • May 1, 20263.5x their median

    ▪️Add glue to pizza to help cheese stick better ▪️Eat 1 small rock per day to increase minerals in your body ▪️Mix bleach with vinegar for better cleaning results No, we are not crazy. These are just some examples of answers provided by AI chats. You see, quality and context REALLY do matter. And that’s something only humans can add. What’s the funniest wrong answer AI gave you yet? 💬

    3.5K2.9K4.5K2836K viewsView on X
  • Jun 9, 202618x their median

    Many AI projects are still selling a concept. Perceptron is already running a live network: 800K+ total nodes. 100K daily active nodes. 150+ countries. 10 TB average daily bandwidth. This is what infrastructure in motion looks like at a global scale. https://t.co/eHR7UT28HV

    3.4K2.8K4.7K1645K viewsView on X
  • May 6, 202618x their median

    Human-in-the-loop = Better AI Simple. Get in with Perceptron 👇 https://t.co/GDYYukTbd8

    3.6K2.9K4.0K1338K viewsView on X
  • May 5, 202618x their median

    Synthetic data: friend or foe? It’s scaling AI fast…but at what cost to quality and real-world accuracy? Read the full breakdown on our latest article 👇 https://t.co/88xIBtO57E

    3.5K3.0K4.1K1736K 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 589 interactions against 244K followers, an engagement rate of 0.24%. Measured over 13 original posts, its engagement rate beats 77% of 15,519 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 15K times each, and 4.06% of those impressions turn into an interaction. That is about 5.93% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.47 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 14:00 UTC, and Friday is the busiest day of the week. Of the 13 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 52K interactions, about 88x its own typical post.

What is Perceptron Network's engagement rate on X?
Perceptron Network (@PerceptronNTWK) has an engagement rate of 0.24%, based on the median interactions across 13 original posts from the last 30 days against 244,441 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.24%, Perceptron Network sits above the 50th percentile of the 157,102 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 @PerceptronNTWK have real engagement?
Its engagement rate beats 77% of the tracked X accounts closest to it in follower count (15,519 accounts), which puts it in the top quarter for its size 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 @PerceptronNTWK post?
Most posts go out around 14:00 UTC, and Friday is its busiest day, at roughly 0.47 posts per day across the measured window.

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