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Unstoppable.ai engagement report

@unstoppableweb - 309K followers on X

Measured over 19 original posts from a 30-day window, last computed on September 5, 2026.

Engagement

Bottom quarter for its size
Per follower
0.008%
of 309K followers
Per impression
0.49%
5.3K views on a typical post
Reach
1.72%
of its followers see a post
Typical post
26
interactions (median)
Saved
0.019%
1 bookmarks on a typical post
Posting rate
0.9/day
active 70% of days
Peak time
16:00 UTC
Thursday

A typical post picks up 26 interactions against 309K followers, an engagement rate of 0.008%. Measured over 19 original posts, its engagement rate beats 24% of 6,493 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 5.3K times each, and 0.49% of those impressions turn into an interaction. That is about 1.72% 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 70% of days. Most posts go out around 16:00 UTC, and Thursday is the busiest day of the week. Of the 19 posts sampled, 95% carry an image or video and 5% are part of a thread. The account's strongest tracked post pulled 71 interactions, about 2.7x its own typical post.

Measured over 19 original posts from a 30-day window, last computed on September 5, 2026. Recurring tag: #launch.

Compared with accounts its own size

Unstoppable.ai's engagement rate beats 24% of the tracked X accounts closest to it in follower count (6,493 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 29% 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 0.008%, Unstoppable.ai sits above the 10th percentile of the 65,864 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.016%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99120.1%
Engagement rate as a share of followers, across the 65,864 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,191 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 percentile120.1%

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 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 video95% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 95% 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 318 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 20, 20262.7x 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. ๐Ÿงตโฌ‡๏ธ https://t.co/PrgN8MNgZc

    471013113K viewsView on X
  • 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 ๐Ÿงต

    3061704.2K viewsView on X
  • 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. ๐Ÿ”Ž Outbound Agent sources and scores leads by fit, persona, and buying signals like recent funding or hiring โœ‰๏ธ Outbound CRM sends from warmed inboxes, up to 30/day each ๐Ÿ” Up to 6 automated follow-ups per campaign, on your schedule ๐Ÿ’ฌ Every reply lands in one inbox, a response auto-pauses that lead's follow-ups โฌ‡๏ธ Try it โฌ‡๏ธ

    306904.8K viewsView on X
  • Aug 18, 2026

    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.

    227505.1K viewsView on X
  • Aug 12, 2026

    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

    214536.8K viewsView on X
  • Jul 21, 2026

    Introducing Pipelines in Unstoppable Code. For the repeatable work your team runs, make it once and run it over and over. โš™๏ธ Bundled presets out of the box, or build your own ๐Ÿ—ฃ๏ธ Describe what you want in plain language, the Pipeline Assistant writes the pipeline โฐ Schedule them to run automatically. Set the cadence in plain language ๐Ÿ”’ Sensitive values stay in environment variables ๐Ÿ” Runs are durable and resumable One of the strongest ships out of the box: a multi-agent code review that reviews your code across multiple providers and hands back a report. ๐Ÿ‘‡ Try it ๐Ÿ‘‡

    227405.7K viewsView on X
  • Sep 3, 2026

    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.

    212814.5K viewsView on X
  • Aug 17, 2026

    Messy notes, a broken CSV, forty PDFs to read, an inbox that keeps filling. None of it lives in a repo and all of it eats your week. Cowork runs the same agents with no git required. Point a Chat at the files, or connect Gmail, Slack and Drive, and let it work. Same agents. No repo required.

    224605.8K viewsView on X
  • Jul 28, 2026

    Agents are fast, but your workflow's slowing them down. One agent at a time? That's the old way. Unstoppable Code lets your agents work in parallel. No waiting for one task to finish before you kick off the next. https://t.co/yTQOewizEf

    244406.7K viewsView on X
  • Aug 27, 2026

    Unstoppable Code ships with the runtimes inside it. Claude, Codex, the GitHub CLI, Ollama. Download the app, sign in with the subscription you've already got, start working. The afternoon you'd have spent on setup is still yours. Bring your setup. Skip the setup. https://t.co/PKpKdi2tld

    1451005.6K 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

#launch

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.

Buy or sell X accounts - escrow-protected

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Reading these numbers

A typical post picks up 26 interactions against 309K followers, an engagement rate of 0.008%. Measured over 19 original posts, its engagement rate beats 24% of 6,493 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 5.3K times each, and 0.49% of those impressions turn into an interaction. That is about 1.72% 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 70% of days. Most posts go out around 16:00 UTC, and Thursday is the busiest day of the week. Of the 19 posts sampled, 95% carry an image or video and 5% are part of a thread. The account's strongest tracked post pulled 71 interactions, about 2.7x its own typical post.

What is Unstoppable.ai's engagement rate on X?
Unstoppable.ai (@unstoppableweb) has an engagement rate of 0.008%, based on the median interactions across 19 original posts from the last 30 days against 308,634 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.008%, Unstoppable.ai sits above the 10th percentile of the 65,864 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 24% of the tracked X accounts closest to it in follower count (6,493 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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