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AGNT Hub engagement report

@agnt_hub - 87K followers on X

Measured over 21 original posts from a 30-day window, last computed on September 20, 2026.

Engagement

Middle of its size range
Per follower
0.118%
of 87K followers
Per impression
4.46%
2.4K views on a typical post
Reach
2.66%
of its followers see a post
Typical post
108
interactions (median)
Saved
0.041%
1 bookmarks on a typical post
Posting rate
1.37/day
active 63% of days
Peak time
12:00 UTC
Tuesday

A typical post picks up 108 interactions against 87K followers, an engagement rate of 0.118%. Measured over 21 original posts, its engagement rate beats 54% of 21,185 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 2.4K times each, and 4.46% of those impressions turn into an interaction. That is about 2.79% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 12:00 UTC, and Tuesday is the busiest day of the week. Of the 21 posts sampled, 100% carry an image or video, 95% are part of a thread and 19% link out. The account's strongest tracked post pulled 3.8K interactions, about 36x its own typical post.

Measured over 21 original posts from a 30-day window, last computed on September 20, 2026.

Compared with accounts its own size

AGNT Hub's engagement rate beats 54% of the tracked X accounts closest to it in follower count (21,185 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 83% 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 0.118%, AGNT Hub sits above the 25th percentile of the 212,805 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.146%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9983.1%
Engagement rate as a share of followers, across the 212,805 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,448 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 percentile0.004%
25th percentile0.025%
50th percentile0.146%
75th percentile0.697%
90th percentile2.61%
99th percentile83.1%

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 12:00 UTC, and Tuesday 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: 12:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 12:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 link19% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 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.
  • 19% 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 387 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

  • May 29, 202636x their median

    AGNT Hub is officially LIVE. You can finally deploy a completely isolated, 24/7 AI workforce without touching a single line of code. The encrypted sandbox is open, so you can bypass the setup entirely and just execute. The access link is in the replies below. Jump in and start building right now. We are dropping a full step-by-step guide tomorrow to help you get started. Keep your notifications on.

    2.6K9842412746K viewsView on X
  • Jul 17, 20262.9x their median

    Submissions for the AGNT Creator Contest are open for a new sprint. $2,000 is on the table for every sprint. We still don't do pitches, script reviews, or approval delays. We hand you the exact text. You handle the visuals and hit publish. You only need one active channel to qualify (X, TikTok, IG, YouTube, Telegram, Medium, or Reddit). Drop your links in the form. If you fit the vibe, we'll reach out. 👉 https://t.co/N0sBNG522s

    1987039212K viewsView on X
  • Aug 31, 20262.6x their median

    Swapping an API key changes the model in seconds. The rest of the app stays exactly where it was. Prompt history remains in the same backend, tools still run through the same application, and workflow state still belongs to the wrapper. The sensitive parts of the system never moved with the model. That is the limit of rented privacy: you can choose the brain while someone else still owns the room. Real model choice begins when the model and the workflow live inside an environment you control.

    1541071523.5K viewsView on X
  • Jul 3, 20262.4x their median

    An LLM is just a brain in a jar. It can think, but it can’t do. If you want an AI to actually execute a workflow, you have to give it hands. AGNT Hub is how you connect the brain to the outside world. We built a library of skills and integrations that let your custom agents stop talking and start doing. ▪️Left side: How it thinks. Give your agent access to Web Explorer, Deep Researcher, Alpha Scout, or Safe Trade Planner to pull data, analyze markets, and synthesize information in real time. ▪️Right side: Where it works. Connect it directly to your stack. Push updates to Notion, fire off alerts in Telegram, draft threads on X, or have it monitor onchain data via Etherscan and EVM Wallets. Stop copy-pasting outputs from a chat window. Build the agent. Connect the skills. Let it execute.

    152951424.7K viewsView on X
  • Jul 2, 20262.3x their median

    Asking a single AI for advice is a dangerous game. You feed it a heavy decision – quitting your job, making a huge purchase, or pivoting your business. Since it’s just one brain, it figures out what you want to hear. It validates your bias. You pull the trigger. And it blows up in your face. Why? Because every LLM has blind spots. When you rely on just one, its blind spots become your real-world mistakes. High-stakes decisions don't need a polite yes. They need pushback. Truth puts five independent models on the exact same problem: > GPT might rubber-stamp your idea. > Claude catches the hidden risks. > Gemini flags the long-term fallout. > Grok brings a real-time reality check. > DeepSeek dissects the raw logic. Where one AI yes-mans you, the others step in to rip the idea apart. If your decision survives all five, it’s actually safe to make.

    14792703.5K viewsView on X
  • Jul 8, 20262.2x their median

    AI is programmed to please you. You feed it a big decision. It tells you exactly what you want to hear. You take the validation, pull the trigger, and immediately regret it. By default, an LLM is a yes-man. If you want the truth, you have to break it out of that mode. Stop asking for a polite opinion. Force GPT, Claude, Gemini, Grok, and DeepSeek to cross-examine your logic at the exact same time. Let the AI tear your idea apart in private, before reality does it in public. 👇 https://t.co/BxJxa2ANLB

    14189802.9K viewsView on X
  • Jun 27, 20262.1x their median

    Wanting private AI is easy. Setting it up is where most people quit. You just want to run an agent, but suddenly you are managing AWS, configuring Docker, and staring at a terminal just to keep a script alive. You don't need to become a DevOps engineer to run private AI. AGNT Hub removes the setup burden. You get an isolated, single-tenant cloud container without the configuration headache. You define the logic. AGNT handles the infrastructure. Close your laptop and the agent keeps working in the background. Try it now for free: https://t.co/yAWz1ocLZS

    163511014.1K viewsView on X
  • Jun 25, 20262.0x their median

    Most people pick one AI and stick with it. So every answer comes out of the same brain, with the same blind spots, every time. Truth doesn't make you pick. It puts five models on the same question and lets them argue. Meet the panel 🧵 https://t.co/W5yBuFZuV6

    16646903.8K viewsView on X
  • Jul 10, 20262.0x their median

    $ATTS utility is live. If you bought into the presale, you don't have to sit around waiting for TGE. You can unlock Truth Pro with your tokens right now. Truth fires your prompt at GPT, Claude, Gemini, Grok, and DeepSeek all at once. Watch them fight it out, find the blind spots, and see where they actually agree before you pull the trigger.

    156411425.7K viewsView on X
  • Sep 1, 20261.9x their median

    AGNT Socials Week 7 is live (six-seven 67). Before you jump into this week’s tasks, double-check that you claimed your Week 6 Finale reward. Don’t leave those points behind: https://t.co/KdNmKjuEbM https://t.co/Vshh3gkwoz

    11683812.8K 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 108 interactions against 87K followers, an engagement rate of 0.118%. Measured over 21 original posts, its engagement rate beats 54% of 21,185 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 2.4K times each, and 4.46% of those impressions turn into an interaction. That is about 2.79% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 12:00 UTC, and Tuesday is the busiest day of the week. Of the 21 posts sampled, 100% carry an image or video, 95% are part of a thread and 19% link out. The account's strongest tracked post pulled 3.8K interactions, about 36x its own typical post.

What is AGNT Hub's engagement rate on X?
AGNT Hub (@agnt_hub) has an engagement rate of 0.118%, based on the median interactions across 21 original posts from the last 30 days against 87,036 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.118%, AGNT Hub sits above the 25th percentile of the 212,805 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 @agnt_hub have real engagement?
Its engagement rate beats 54% of the tracked X accounts closest to it in follower count (21,185 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 @agnt_hub post?
Most posts go out around 12:00 UTC, and Tuesday is its busiest day, at roughly 1.37 posts per day across the measured window.

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