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Heidi engagement report

@blockchainchick - 143K followers on X

Measured over 10 original posts from a 30-day window, last computed on September 27, 2026.

Engagement

Middle of its size range
Per follower
0.078%
of 143K followers
Per impression
2.14%
5.2K views on a typical post
Reach
3.62%
of its followers see a post
Typical post
111
interactions (median)
Saved
0.019%
1 bookmarks on a typical post
Posting rate
1.4/day
active 37% of days
Peak time
12:00 UTC
Monday

A typical post picks up 111 interactions against 143K followers, an engagement rate of 0.078%. Measured over 10 original posts, its engagement rate beats 47% of 15,823 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 5.2K times each, and 2.14% of those impressions turn into an interaction. That is about 3.62% 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, though only 37% of days saw any activity at all. Most posts go out around 12:00 UTC, and Monday is the busiest day of the week. Of the 10 posts sampled, 60% carry an image or video and 10% link out. The account's strongest tracked post pulled 13K interactions, about 121x its own typical post.

Measured over 10 original posts from a 30-day window, last computed on September 27, 2026.

Compared with accounts its own size

Heidi's engagement rate beats 47% of the tracked X accounts closest to it in follower count (15,823 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 62% 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 0.078%, Heidi sits above the 25th percentile of the 158,247 accounts in this comparison. That places it in the below the median band, which runs 0.022% to 0.128%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.1%
Engagement rate as a share of followers, across the 158,247 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 25,964 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 percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
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 Monday 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video60% of posts+111%+108% to +115%34K
Outbound link10% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 60% 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.
  • 10% 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 270 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

  • Feb 10, 2021121x their median

    I bought my #Bitcoin 7 years before @elonmusk . Those are my credentials.

    12K60268185View on X
  • Sep 21, 20263.0x their median

    Do you understand now that Bitcoin does NOT need the Clarity act or ANY government intervention?

    303161718.3K viewsView on X
  • Jun 4, 20262.1x their median

    No Bitcoin isn't going to $20k Yes HYPE will go to all time highs again shortly No you should not worship ANYONE in the crypto space Yes you should do your own research No you shouldn't overleverage Anything else for today?

    194826113K viewsView on X
  • Sep 16, 2026

    This is going to wipe out the middle class https://t.co/MYfiAN40zz

    128523110K viewsView on X
  • Sep 17, 2026

    You won't know you need Monero until it's too late, privacy coins are your last resort in the worst case scenarios

    131714419K viewsView on X
  • Sep 16, 2026

    Are we in the middle of the great reset?

    10122505.4K viewsView on X
  • Sep 18, 2026

    Check in on your favorite bears, they need all the support they can get right now

    1122715.0K viewsView on X
  • Sep 21, 2026

    Bears waking up this morning https://t.co/PejggpuzfW

    941504.0K viewsView on X
  • Sep 23, 2026

    I don’t remember sentiment ever moving this fast 😅 https://t.co/HbhKlh5bDb

    482714.5K viewsView on X
  • Sep 24, 2026

    Every major government is paying a lot more to borrow than it was a year ago, and this chart shows how fast it's happened. Japan's 10-year yield has almost doubled from 1.65% to 3.08%, France now pays more to borrow than Italy for the first time in years, and the UK and US are both sitting above 5%. That matters because these governments are carrying record debt, with the US alone past $40 trillion, and every time old bonds mature they have to be refinanced at these higher rates. So the interest bill keeps growing whether anyone votes for more spending or not. That leaves politicians with two options: cut spending, which almost never happens, or lean on central banks to hold rates down by printing, which quietly shrinks the value of everyone's savings. History tells you which one they usually choose, and that's exactly why owning hard assets with a fixed supply that no government can print or default on makes more sense now than ever.

    314703.9K 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 111 interactions against 143K followers, an engagement rate of 0.078%. Measured over 10 original posts, its engagement rate beats 47% of 15,823 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 5.2K times each, and 2.14% of those impressions turn into an interaction. That is about 3.62% 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, though only 37% of days saw any activity at all. Most posts go out around 12:00 UTC, and Monday is the busiest day of the week. Of the 10 posts sampled, 60% carry an image or video and 10% link out. The account's strongest tracked post pulled 13K interactions, about 121x its own typical post.

What is Heidi's engagement rate on X?
Heidi (@blockchainchick) has an engagement rate of 0.078%, based on the median interactions across 10 original posts from the last 30 days against 143,037 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.078%, Heidi sits above the 25th percentile of the 158,247 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 @blockchainchick have real engagement?
Its engagement rate beats 47% of the tracked X accounts closest to it in follower count (15,823 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 @blockchainchick post?
Most posts go out around 12:00 UTC, and Monday is its busiest day, at roughly 1.4 posts per day across the measured window.

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