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Rekt Capital engagement report

@rektcapital - 563K followers on X

Measured over 8 original posts from a 30-day window, last computed on October 12, 2026.

Engagement

Middle of its size range
Per follower
0.039%
of 563K followers
Per impression
0.802%
27K views on a typical post
Reach
4.83%
of its followers see a post
Typical post
218
interactions (median)
Saved
0.039%
10 bookmarks on a typical post
Posting rate
1.83/day
active 47% of days
Peak time
16:00 UTC
Thursday

A typical post picks up 218 interactions against 563K followers, an engagement rate of 0.039%. Measured over 8 original posts, its engagement rate beats 55% of 20,444 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 0.802% of those impressions turn into an interaction. That is about 4.83% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 16:00 UTC, and Thursday is the busiest day of the week. Of the 8 posts sampled, 38% carry an image or video and 38% link out. The account's strongest tracked post pulled 1.2K interactions, about 5.6x its own typical post. Recurring topics include #btc, #bitcoin, #near.

Measured over 8 original posts from a 30-day window, last computed on October 12, 2026. Recurring tags: #btc, #bitcoin, #near.

Compared with accounts its own size

Rekt Capital's engagement rate beats 55% of the tracked X accounts closest to it in follower count (20,444 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 42% 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 0.039%, Rekt Capital sits above the 25th percentile of the 204,694 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,694 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,880 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 percentile0.677%
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 video38% of posts+111%+108% to +115%34K
Outbound link38% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 38% 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.
  • 38% 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 613 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

  • Aug 20, 20265.6x their median

    #BTC Bitcoin has had macro price action clusters develop throughout the entire Bear Cycle, with fake-breakouts If you believe the bottom is in, that's absolutely fine But in that case, Bitcoin will need to sustain itself at these highs to confirm that that bias is worth holding And the reality is that Bitcoin technically, as per 4 Year Cycle tendencies, could have the time until the 31st of December 2026 to perform a Bear Market low That's a lot of time And if this is a Bear Market Relief Rally then time will likely verify this move, because strength isn't sustainable in Bear Cycles $BTC #Bitcoin

    1.0K10110710178K viewsView on X
  • Sep 9, 20242.9x their median

    #BTC The more Bitcoin consolidates between ~$60,000 & $70,000 after the Halving... The more this cycle will decelerate and resynchronise with its regular historically-recurring Halving Cycle with a Bull Market peak in mid-September/October 2025 $BTC #Bitcoin #BitcoinHalving https://t.co/aueRPmsWFe

    850165865100K viewsView on X
  • Sep 7, 20264.0x their median

    #BTC If you want to be a Bull then you'd like Bitcoin to avoid repeating May price tendencies at these highs (red circle) That's all $BTC #Bitcoin https://t.co/2GBJfWqTLt

    70777795212K viewsView on X
  • Aug 29, 20263.3x their median

    #BTC Here's something noteworthy about the Bitcoin February 2026 and June 2026 lows: Both bottomed at roughly the same price point (price green box) and at near identical levels of being Oversold on the RSI (RSI green box) Both times Bitcoin reversed to the upside towards ~$80,000 But when price rallied to the May 2026 highs... Bitcoin was drastically less Overbought on the RSI than it is on this current advance into ~$80,000 More, Bitcoin is forming a Price Lower High, which is important in the context of these major RSI Overbought differences The RSI Higher Highs together with the Price Lower Highs bring about a Hidden Bearish Divergence on the Daily timeframe at this major psychological resistance of ~$80,000 This Hidden Bear Div will persist, unless Bitcoin is able to break into a new Higher High on price bitcoin:native #Bitcoin

    59164704121K viewsView on X
  • Aug 30, 20263.0x their median

    #BTC The reality is that even if the Bitcoin Bear Market Bottom was in already... Then any deeper pullback into a new Macro Higher Low would confirm that Which would allow to build entries at prices not much higher than the absolute bottom And if you build entries there, those entries will outperform 95-99% of investors over the course of the entire Bitcoin cycle More, the Macro Higher Low would offer slight premium prices compared to the absolute bottom but at least that premium is the cost of buying on confirmation You don't need to buy the absolute Bitcoin Bear Market Bottom to do well in a Bull Cycle bitcoin:native #Bitcoin

    5861854057K viewsView on X
  • Aug 23, 20262.8x their median

    #BTC Bitcoin has rallied enough to make you doubt whether the Bear Market is over but not enough to fully confirm a new Bull Market $BTC #Bitcoin

    5361852238K viewsView on X
  • Aug 23, 20262.8x their median

    #BTC If history repeats Bitcoin will try to get as close as possible to ~$93,000 in 2027 But first, Bitcoin needs to fully confirm its Bear Market bottom and fully confirm a break of the Macro Downtrend $BTC #Bitcoin

    5263740150K viewsView on X
  • Aug 23, 20262.7x their median

    #BTC Bitcoin is still producing Macro Lower Highs But what would be compelling is if Bitcoin Weekly Closes below ~$76150 Because that would mean that price may be developing a perfectly symmetrical wedge within the $60,000-$80,000 Macro Range $BTC #Bitcoin https://t.co/tGmKJme9Ti

    4785857355K viewsView on X
  • Jun 5, 20262.7x their median

    I've spent months compiling my knowledge of #Crypto Technical Analysis into a FREE course for beginners → Master 5 key chart patterns → Trading support/resistance → Utilise trendlines & moving averages Learn it all for FREE here: https://t.co/yvVpgzUxId #BTC $BTC #Bitcoin

    311185871276K viewsView on X
  • Sep 24, 20262.6x their median

    The early-stage #BTC Bull Market Re-Accumulation Range in 2023 developed slightly above the 2022 inverse Head and Shoulders Accumulation Pattern In this cycle, the ~$82500 level is the analogous level to the very top of the 2022 Accumulation Pattern Turn $82500 into support -> Bitcoin would likely start building out its new ReAccumulation Range Note: it's not yet clear where the top of that Range would be but its bottom would likely be $82500 or slightly above it (i.e. in 2023 it was slightly above the analogous level to $82500) Fail to turn $82500 into support however and there’s a chance Bitcoin reverts back into the $60k - $80k Range and retraces within it That intra-range pullback could take place in an effort to build out a Right Shoulder, if the intent is for Bitcoin to replicate an inverse Head and Shoulders Accumulation Pattern similar to 2022-2023 (and this is an assumption based on emerging market structure) These are conditional scenarios based on $82500 as a technical level because it is the pivot point for the next phase in the cycle Of course, if $82500 holds as support then the breakout from the ~$60k-$82500 Macro Range will be confirmed, obviously invalidating a reversion back into the Range But for as long as $82500 fails to hold as support, that Right Shoulder to a potential inverse Head & Shoulders becomes quite compelling (there's a good chance that the Right Shoulder would be a little higher than the Left Shoulder, like in 2023) Attached are charts from the prior cycle where I clearly outlined the 2022 bottom at ~$15500 via downside deviations below the 200-week SMA (which kickstarted the Head of the inverse H&S in that cycle) and another couple of charts outlining the full development of the Right Shoulder and its bottom in 2023 Based on those charts and same guiding principles, the analogous levels are outlined in today's chart What's interesting about a potential future Right Shoulder development is that it could coincide with a mid-term retest of the Macro Downtrend (black; we've only seen such a mid-term retest in 2015) In sum: Is Bitcoin entering a future Re-Accumulation Range? Or does price still have a chance at entertaining a low still within the Macro Accumulation Range? Either Bitcoin transitions into a new Re-Accumulation Range by keeping $82500 as support... Or we could see one final pullback in an early-stage Bull Cycle into what could be a Macro Higher Low (Side note: equal lows would be compelling but are less likely, and Lower Lows admittedly are the low probability event, but not absolutely impossible should a Black Swan take place. And if a Black Swan takes place in Q4 and BTC drops to new lows, then it would resynchronise with the 4-Year Cycle. Again, low probability but not absolutely impossible) Overall, Bitcoin is showing signs of macro trend transition and so if the transition into an early-stage Bull Market is indeed occurring, then the main trend will of course be upside for the next few years But in saying that, it's always wise to strategise ways on how price could perform a Bull Market pullback, especially whenever price is at key technical junctures like ~$82500 $BTC #Bitcoin

    45267442120K 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

#btc#bitcoin#near#nearprotocol#aero

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 218 interactions against 563K followers, an engagement rate of 0.039%. Measured over 8 original posts, its engagement rate beats 55% of 20,444 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 0.802% of those impressions turn into an interaction. That is about 4.83% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 16:00 UTC, and Thursday is the busiest day of the week. Of the 8 posts sampled, 38% carry an image or video and 38% link out. The account's strongest tracked post pulled 1.2K interactions, about 5.6x its own typical post. Recurring topics include #btc, #bitcoin, #near.

What is Rekt Capital's engagement rate on X?
Rekt Capital (@rektcapital) has an engagement rate of 0.039%, based on the median interactions across 8 original posts from the last 30 days against 563,144 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.039%, Rekt Capital sits above the 25th percentile of the 204,694 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 @rektcapital have real engagement?
Its engagement rate beats 55% of the tracked X accounts closest to it in follower count (20,444 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 @rektcapital post?
Most posts go out around 16:00 UTC, and Thursday is its busiest day, at roughly 1.83 posts per day across the measured window.

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