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Unstoppable.ai engagement report

@unstoppableweb - 306K followers on X

Measured over 15 original posts from a 30-day window, last computed on October 16, 2026.

Engagement

Bottom quarter for its size
Per follower
0.005%
of 306K followers
Per impression
0.331%
5.1K views on a typical post
Reach
1.68%
of its followers see a post
Typical post
17
interactions (median)
Saved
0.039%
2 bookmarks on a typical post
Posting rate
0.9/day
active 53% of days
Peak time
16:00 UTC
Thursday

A typical post picks up 17 interactions against 306K followers, an engagement rate of 0.005%. Measured over 15 original posts, its engagement rate beats 17% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 5.1K times each, and 0.331% of those impressions turn into an interaction. That is about 1.68% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.9 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 16:00 UTC, and Thursday is the busiest day of the week. Of the 15 posts sampled, 93% carry an image or video and 7% link out. The account's strongest tracked post pulled 85 interactions, about 5.0x its own typical post.

Measured over 15 original posts from a 30-day window, last computed on October 16, 2026.

Compared with accounts its own size

Unstoppable.ai's engagement rate beats 17% of the tracked X accounts closest to it in follower count (20,444 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 19% 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 0.005%, Unstoppable.ai sits above the 10th percentile of the 204,798 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,798 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,879 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 percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 16:00 UTC, and Thursday 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 16:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video93% of posts+111%+108% to +115%34K
Outbound link7% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 93% 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.
  • 7% 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 287 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

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    https://t.co/YmqCeSgKOH is back as a separate, standalone platform for our domain registrar & marketplace. https://t.co/DbjAkse9jr will be dedicated to our new agentic workspace. This should help maintain a clear separation of functionality and high quality experience for all users And be sure to try free Codex usage when you sign up: https://t.co/tnNPAqw7PH

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  • Jul 20, 20264.2x their median

    Introducing Unstoppable Code! An agentic platform that runs AI coding agents in parallel, each in its own isolated worktree, and Cowork tools for everything else. Free to download and free to start using. 🧵⬇️ https://t.co/PrgN8MNgZc

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  • Sep 9, 20263.4x their median

    A tour of Unstoppable Code, top to bottom. 🔍 Search across the whole workspace 🧭 App Advisor, ask how to do something and it does it ⏰ Automations that wait for an event and ping you 🔌 Plugins and MCP, bring the tools you already use ⚙️ Pipelines, build a workflow once and run it forever 🎛 Set the app up the way you work 🌳 Parallel coding agents, each in its own worktree 💬 Cowork for the work that has no repo

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  • Jul 8, 20262.0x their median

    Five tools to put a business online: domain search, site builder, SEO, social scheduler, cold email. We put all five in one chat. Here's how the stack fits together 🧵

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  • Jul 6, 20261.7x their median

    Email Outbound is live. Describe your ideal customer for a product, a service, a project, or the names in your portfolio. AI finds the leads, runs the outreach, and manages every reply, all inside chat. 🔎 Outbound Agent sources and scores leads by fit, persona, and buying signals like recent funding or hiring ✉️ Outbound CRM sends from warmed inboxes, up to 30/day each 🔁 Up to 6 automated follow-ups per campaign, on your schedule 💬 Every reply lands in one inbox, a response auto-pauses that lead's follow-ups ⬇️ Try it ⬇️

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  • Sep 3, 20262.4x their median

    The Statistics page tells you what your agents did today. Tokens in and out, chat sessions and completed turns, pipelines run and the agent time they used, repos that picked up a new PR. Switch it to 7 days for the trend. Token use by type or by provider, plus tabs for cost, worktrees, chats, plans, pipelines and tools. Knowing what a normal week looks like is what makes the odd one obvious.

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  • Sep 11, 20262.2x their median

    New to Unstoppable Code? Your first month of Pro is free. Use Codex with models like DeepSeek 4.1 Flash, Kimi K3 and GLM, completely free. https://t.co/h2Re7LPspQ

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  • Aug 18, 20262.1x their median

    You're already paying for Claude. Maybe Codex too. Sign in to Unstoppable Code with them and your agents run on the plans you've got. Switch between them per chat, or run both at the same time on the same task and see which answer you like better. When a task doesn't need the expensive brain, move it onto AI Credits and run a cheaper model instead. Same app, same workspace.

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  • Sep 11, 20261.9x their median

    DeepSeek 4.1 is now available in Unstoppable Code. 4.1 is one of the most capable open-weight models and runs at a fraction of the cost of Claude and Codex. Available for free and with our AI Subscription at: https://t.co/g5AelVh3Qn

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  • Aug 12, 20261.9x their median

    You type the same code review prompt every week, slightly differently every time. Then you wonder why the results vary. Build it once as a Pipeline and run it. Reviews, ticket triage, test gates, daily inbox checks. Same prompt, same steps, same standard, every time. https://t.co/arwfWSPWoJ

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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 17 interactions against 306K followers, an engagement rate of 0.005%. Measured over 15 original posts, its engagement rate beats 17% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 5.1K times each, and 0.331% of those impressions turn into an interaction. That is about 1.68% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.9 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 16:00 UTC, and Thursday is the busiest day of the week. Of the 15 posts sampled, 93% carry an image or video and 7% link out. The account's strongest tracked post pulled 85 interactions, about 5.0x its own typical post.

What is Unstoppable.ai's engagement rate on X?
Unstoppable.ai (@unstoppableweb) has an engagement rate of 0.005%, based on the median interactions across 15 original posts from the last 30 days against 306,392 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.005%, Unstoppable.ai sits above the 10th percentile of the 204,798 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 @unstoppableweb have real engagement?
Its engagement rate beats 17% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom 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 @unstoppableweb post?
Most posts go out around 16:00 UTC, and Thursday is its busiest day, at roughly 0.9 posts per day across the measured window.

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