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Ripster engagement report

@ripster47 - 472K followers on X

Measured over 32 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Middle of its size range
Per follower
0.013%
of 472K followers
Per impression
0.218%
27K views on a typical post
Reach
5.82%
of its followers see a post
Typical post
60
interactions (median)
Saved
0.015%
4 bookmarks on a typical post
Posting rate
1.87/day
active 20% of days
Peak time
18:00 UTC
Wednesday

A typical post picks up 60 interactions against 472K followers, an engagement rate of 0.013%. Measured over 32 original posts, its engagement rate beats 37% 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 27K times each, and 0.218% of those impressions turn into an interaction. That is about 5.83% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 18:00 UTC, and Wednesday is the busiest day of the week. Of the 32 posts sampled, 63% carry an image or video. The account's strongest tracked post pulled 426 interactions, about 7.1x its own typical post.

Measured over 32 original posts from a 30-day window, last computed on October 25, 2026. Recurring tag: #ff.

Compared with accounts its own size

Ripster's engagement rate beats 37% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 10 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 15% 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 0.013%, Ripster sits above the 10th percentile of the 212,349 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.696%
p902.61%
p9983.1%
Engagement rate as a share of followers, across the 212,349 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,452 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 percentile0.696%
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 18:00 UTC, and Wednesday 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: 18:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 18:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video63% of posts+111%+108% to +115%34K
Outbound link3% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 63% 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.
  • 3% 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 223 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

  • Oct 20, 20267.1x their median

    Feels like we're all waiting for that 2–3 day rally so we can short the shit out of some of these photonics and memory names. The problem? Half of them can barely manage to go green for a single day. Hard to sell into strength when there's hardly any strength to sell into. $AAOI $LITE $MU $SNDK $CRWD $PANW

    374839555K viewsView on X
  • Oct 23, 20266.0x their median

    💡 Thanks to 6500 of you who joined Live Trading Stream, we do it everyday tenettradegroup Hopefully you learnt a a lot! And offcourse got some trades live with us $MRNA $BE $QQQ $TSLA $CRDO $CRWD Never Hindsight from me! Cheerz and HagW ❤️ https://t.co/6KjVQEzsCE

    2911155119K viewsView on X
  • Sep 2, 20265.6x their median

    $MU Getting Tight Tight, Breakout imminent , A TACO should help though, only market is problem right now Our Existing Long Term position, will look to add more soon. Save this https://t.co/8El8vPeWQ3

    2892319378K viewsView on X
  • Sep 19, 20263.8x their median

    The best drink at the end of the week is the one you have after helping those who look up to you and guiding them to success❤️ Cheers to green portfolios and lifetime success Take time to recharge and enjoy the weekend with your loved ones. What are you sipping on tonight? 🥃 https://t.co/GmdU6X86pk

    200525039K viewsView on X
  • Oct 22, 20263.3x their median

    💡The money you lost in a stock doesn't have to come back from that same stock. - Remember this Biggest mental block in trading is needing to get even in the name that hurt you. Like other stocks do not exist in market! While you're waiting for it to pay you back, the best setups in the market are going to someone else.

    1571722031K viewsView on X
  • Oct 23, 20263.0x their median

    STOCK MARKET LIVE TRADING https://t.co/Fjp9virOLZ

    1389171630K viewsView on X
  • Oct 22, 20262.8x their median

    🚨Its Cluster Duck out there! Meta no FY guidance, Elon No pump, Big attack on Iran after midterms/next week, Saudi attack from Houthi, US embassy people coming back, Korean Friends Shitting in Pants again! Ping Pong Portfolio! This market will question your sanity💤 GN https://t.co/cpmeElBaMH

    131824444K viewsView on X
  • Aug 27, 20262.3x their median

    $MU We started Long Position in our Portfolios today Thanks to Trump ,it already pushed our portfolio up into close! Also bounced from MTF clouds , will cover in recap Both Day Trade curls and Swing longs Did you grab it on my tweet? https://t.co/uQY7SNbkz9

    12694155K viewsView on X
  • Oct 20, 20262.1x their median

    $SPCX Is making money in many ways! Super Intelligence(AI) Surpassed other revenue Streams Looks like @grok @bot might be beating Muse & Other Consumer Orientated AI names Watchout $TSLA merger Data by @tenet_research https://t.co/crbjd4ycbr

    911519030K viewsView on X
  • Aug 26, 20262.1x their median

    $CBRS Should benefit from Historic $NVDA Numbers Keep watch , Swing Name

    103615136K 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

#ff

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 60 interactions against 472K followers, an engagement rate of 0.013%. Measured over 32 original posts, its engagement rate beats 37% 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 27K times each, and 0.218% of those impressions turn into an interaction. That is about 5.83% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 18:00 UTC, and Wednesday is the busiest day of the week. Of the 32 posts sampled, 63% carry an image or video. The account's strongest tracked post pulled 426 interactions, about 7.1x its own typical post.

What is Ripster's engagement rate on X?
Ripster (@ripster47) has an engagement rate of 0.013%, based on the median interactions across 32 original posts from the last 30 days against 471,641 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.013%, Ripster sits above the 10th percentile of the 212,349 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 @ripster47 have real engagement?
Its engagement rate beats 37% 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 @ripster47 post?
Most posts go out around 18:00 UTC, and Wednesday is its busiest day, at roughly 1.87 posts per day across the measured window.

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