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Jack Carter engagement report

@Influencer_87 - 99K followers on X

Measured over 20 original posts from a 30-day window, last computed on August 20, 2026.

Engagement

Middle of its size range
Per follower
0.452%
of 99K followers
Per impression
0.16%
280K views on a typical post
Reach
281.8%
of its followers see a post
Typical post
448
interactions (median)
Saved
0.027%
75 bookmarks on a typical post
Posting rate
1.33/day
active 67% of days
Peak time
14:00 UTC
Friday

A typical post picks up 448 interactions against 99K followers, an engagement rate of 0.452%. Measured over 20 original posts, its engagement rate beats 71% of 1,003 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 280K times each, and 0.16% of those impressions turn into an interaction. That is about 282.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 14:00 UTC, and Friday is the busiest day of the week. Of the 20 posts sampled, 85% carry an image or video and 55% link out. The account's strongest tracked post pulled 5.3K interactions, about 12x its own typical post. Recurring topics include #bsc, #gem, #launch.

Measured over 20 original posts from a 30-day window, last computed on August 20, 2026. Recurring tags: #bsc, #gem, #launch.

Compared with accounts its own size

Jack Carter's engagement rate beats 71% of the tracked X accounts closest to it in follower count (1,003 accounts, accounts of similar size (decile 4 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 8% 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 0.452%, Jack Carter sits above the 75th percentile of the 10,151 accounts in this comparison. That places it in the top 25% band, which runs 0.324% to 2.53%.

p100.001%
p250.007%
p50 (median)0.047%
p750.324%
p902.53%
p99360.5%
Engagement rate as a share of followers, across the 10,151 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 450,564 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 percentile0.001%
25th percentile0.007%
50th percentile0.047%
75th percentile0.324%
90th percentile2.53%
99th percentile360.5%

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 96%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 UTC0%15K
01:00 UTC+4%15K
02:00 UTC-1%14K
03:00 UTC-2%15K
04:00 UTC-5%12K
05:00 UTC-5%12K
06:00 UTC-7%13K
07:00 UTC-6%14K
08:00 UTC-7%17K
09:00 UTC-2%19K
10:00 UTC-2%20K
11:00 UTC-2%22K
12:00 UTC-1%24K
13:00 UTC+1%27K
14:00 UTC-2%29K
15:00 UTC-1%30K
16:00 UTC-1%30K
17:00 UTC-1%28K
18:00 UTC+1%25K
19:00 UTC0%24K
20:00 UTC0%22K
21:00 UTC+1%19K
22:00 UTC+1%17K
23:00 UTC+1%15K
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 96%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+8%59K
Monday+8%72K
Tuesday+1%94K
Wednesday-4%78K
Thursday-3%71K
Friday-5%73K
Saturday+2%64K
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 video85% of posts+79%+73% to +85%5.8K
Outbound link55% of posts-49%-50% to -47%6.1K
Typical length-+13%+10% to +15%6.4K
  • 85% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 79% above the same accounts' other posts.
  • 55% of its posts carry a link off X. Across the catalog, posts with an outbound link run 49% 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 439 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 13% 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 29, 202612x their median

    Video Podcast is live. Turn any doc, link, or idea into a two-host video show with studio scenes, multi-cam cuts, and B-roll. Ready in minutes. Everyone else stops at audio. This is a show you can publish. Try it: https://t.co/mwV67pFCDT https://t.co/ccByT6230Y

    3.2K6818895652.6M viewsView on X
  • Jul 15, 202611x their median

    Classic moments. Now within reach. We’re sharing a story with @themichaelowen , using Seedance 2.5 to revisit some of the defining moments of his legendary career. From signature moves on the pitch to limitless creative possibilities, Seedance 2.5 pushes the boundaries of what AI video creation can achieve. Unlock the impossible.

    3.6K55235962313M viewsView on X
  • Jul 31, 202610x their median

    Dreamina Seedance 2.5 is now live! From creators to enterprises, a new era of AI video creation begins. Try Seedance 2.5 on Dreamina today. Enterprise API access via BytePlus is coming soon. Create longer videos with greater control: - Native 30-second generation - Precise video editing - Support for up to 50 multimodal references - Multilingual video generation More consistency. More control. More possibilities.

    2.7K82542360116M viewsView on X
  • Aug 10, 20269.8x their median

    Today we are introducing Dyna-2, a world-action model pre-trained on one million hours of human video. At this scale, for the first time, we discovered several new scaling laws: • world-action models exhibit scaling law on human data across four orders of magnitude, from 1000 to 1,000,000 hours, • this human data scaling law implied a scaling law on never seen robot data, • both data and objective matter; world modeling and scaling on video data are essential for cross-embodiment scaling transfer to emerge 🧵

    3.2K7431923091.7M viewsView on X
  • Jul 8, 20266.6x their median

    Dola Seedream 5.0 Pro API is now available on BytePlus. AI image generation is evolving beyond creating a single image. Edit with precision. Visualize complex information. Render realistic images and portraits. Create across languages. Create production-ready visual assets for enterprise workflows.

    1.9K4032254064.4M viewsView on X
  • Aug 7, 20266.1x their median

    Dreamina Seedance 2.5 Enterprise API is now live on BytePlus. Built for professional AI video creation, Seedance 2.5 brings new capabilities to creators: - Longer storytelling with consistent 30-second shots - Precise timestamp-level video editing - More realistic visuals with greater creative control Explore what’s possible with Seedance 2.5.

    1.3K56650034515M viewsView on X
  • Aug 4, 20265.3x their median

    Today, we're launching Vocci. Your AI is smart. It just missed the conversations. Vocci brings your real conversations, spontaneous ideas, and everyday moments into the AI tools you already use. Wear the context. Loop in real life. Explore more: https://t.co/oW4rYfVTlx https://t.co/IgP6A4UDox

    1.9K1601841023.4M viewsView on X
  • Aug 14, 20265.2x their median

    Introducing dots3-note preview — a small but mighty step toward long-horizon agency in real life. 🔹 280B MoE with 16B active parameters, a 512K context window, and multimodal understanding across text, vision, and audio 🔹 Introduces TEMPO, a new RL approach for long-horizon agent training through self-critiquing and test-time-scaled value estimation 🔹 Built to reason, explore unfamiliar environments, update memory over time, and combine multimodal perception with coding and tool use to solve complex tasks 🔹 Open weights on Hugging Face, alongside two open benchmarks for real-life agents: VibeSearchBench and VibeLifeBench Competitive with much larger models across reasoning, agentic, and multimodal evaluations. 🔗 Tech blog: https://t.co/kMJtfvB1s7 🔗 Model weights: https://t.co/Lxwbgjc8wk 🔗 Github: https://t.co/QAAeYBTULP

    1.6K3131782561.1M viewsView on X
  • Jul 21, 20263.9x their median

    From Academy Award-nominated District 9 director @NeillBlomkamp and @Barleystudiosai comes a new story. Created with Dreamina Seedance 2.0 4K, expanding what's possible in visual storytelling. https://t.co/BzFEMgM9ji

    7203232384851.2M viewsView on X
  • Aug 7, 20263.9x their median

    A new breakthrough is coming. Stay tuned. https://t.co/Z1jhzYfIgI

    1.2K34910945362K 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

#bsc#gem#launch#squidgame#web3

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 448 interactions against 99K followers, an engagement rate of 0.452%. Measured over 20 original posts, its engagement rate beats 71% of 1,003 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 280K times each, and 0.16% of those impressions turn into an interaction. That is about 282.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 14:00 UTC, and Friday is the busiest day of the week. Of the 20 posts sampled, 85% carry an image or video and 55% link out. The account's strongest tracked post pulled 5.3K interactions, about 12x its own typical post. Recurring topics include #bsc, #gem, #launch.

What is Jack Carter's engagement rate on X?
Jack Carter (@Influencer_87) has an engagement rate of 0.452%, based on the median interactions across 20 original posts from the last 30 days against 99,142 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.452%, Jack Carter sits above the 75th percentile of the 10,151 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 @Influencer_87 have real engagement?
Its engagement rate beats 71% of the tracked X accounts closest to it in follower count (1,003 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 @Influencer_87 post?
Most posts go out around 14:00 UTC, and Friday is its busiest day, at roughly 1.33 posts per day across the measured window.

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