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Natalie Brunell ⚡️ engagement report

@natbrunell - 647K followers on X

Measured over 19 original posts from a 30-day window, last computed on October 6, 2026.

Engagement

Middle of its size range
Per follower
0.028%
of 647K followers
Per impression
0.505%
36K views on a typical post
Reach
5.63%
of its followers see a post
Typical post
184
interactions (median)
Saved
0.052%
19 bookmarks on a typical post
Posting rate
3.33/day
active 53% of days
Peak time
15:00 UTC
Monday

A typical post picks up 184 interactions against 647K followers, an engagement rate of 0.028%. Measured over 19 original posts, its engagement rate beats 50% 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 36K times each, and 0.505% of those impressions turn into an interaction. That is about 5.63% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.3 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 19 posts sampled, 68% carry an image or video, 58% are part of a thread and 26% link out. The account's strongest tracked post pulled 15K interactions, about 79x its own typical post. Recurring topics include #housingmarket, #bitcoin, #capitalism.

Measured over 19 original posts from a 30-day window, last computed on October 6, 2026. Recurring tags: #housingmarket, #bitcoin, #capitalism.

Compared with accounts its own size

Natalie Brunell ⚡️'s engagement rate beats 50% 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 31% 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 0.028%, Natalie Brunell ⚡️ sits above the 25th percentile of the 204,798 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%
p750.678%
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 15:00 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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 video68% of posts+111%+108% to +115%34K
Outbound link26% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 68% 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.
  • 26% 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 385 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

  • Jan 18, 202579x their median

    You helped inspire my dress @AOC, hope we can talk about Bitcoin soon 🧡 https://t.co/pSb3RiSYkJ

    12K1.1K8571731.4M viewsView on X
  • Aug 15, 202616x their median

    Theo Von wants to know when Bitcoin’s price will go back up. What should I tell him? @TheoVon https://t.co/75LEgEZa5S

    2.5K4246614182K viewsView on X
  • Oct 3, 202612x their median

    Someone grabbed my copies of Bitcoin is for Everyone 🧡 https://t.co/1OfKxLXUgZ

    2.1K3698645K viewsView on X
  • Sep 13, 202611x their median

    Bought my mom a home last year and the roof was damaged by hail, leaking into the room below and @StateFarm just denied our claim and we apparently have to pay for a new roof out of pocket? What do I pay home insurance for?? Does anyone have any advice to avoid costly repairs?

    1.5K6655012193K viewsView on X
  • Sep 30, 20268.4x their median

    This video is about the lived experience of Broken Money. My team and I worked for over a month on this one, I hope you will check it out and share it. https://t.co/WyXFNCnaOB

    1.2K2637736158K viewsView on X
  • Jul 30, 20267.8x their median

    Jack Mallers on walking away from Twenty One: "I failed, and I own that." His message to the people who believed in him, why he calls it a failure, and the question he says the universe put to him: are you who you say you are? Thank you @jackmallers for this honest, unfiltered conversation. New episode streaming wherever you get your podcasts.

    1.2K9711221367K viewsView on X
  • Sep 1, 20267.6x their median

    When I first started my Bitcoin podcast, nobody knew who I was - so when @willywoo agreed to come on, I wanted to thank him properly. He’s from New Zealand. So I sent him a custom painting by a local artist of a kiwi with a Bitcoin symbol. The kiwi fruit. 🥝 Turns out the national symbol of New Zealand is a kiwi bird. 😂 Still one of my favorite reminders that everyone starts somewhere.

    1.3K1064370K viewsView on X
  • Aug 21, 20267.4x their median

    Bull trap or new bull run?

    94425386591K viewsView on X
  • Sep 28, 20266.6x their median

    Our first in-person show with Simon Dixon, and after watching a lot of his interviews, I think this is the most complete version of his thesis he's given. We got into why he believes the chaos everyone's feeling is by design, why UBI is coming, and what would have to happen for him to sell every Bitcoin he owns. You can't win unless you understand the Game of Money. TIMESTAMPS: 00:00 Trailer 00:57 The book @SimonDixonTwitt has been writing since Covid 1:37 Is the chaos actually the point? 3:04 Who's really running things? 7:04 Is anyone trying to save the dollar? 15:11 The number that decides how long this lasts 22:27 Why is everything going up except your paycheck? 26:36 How do you stop being a debt slave? 34:33 Will anyone under 40 ever own a home? 48:36 Does the national debt even matter anymore? 56:03 Who decides what your mortgage costs? 1:09:20 There's a second dollar system nobody can measure 1:16:31 What would make him sell all his Bitcoin? 1:27:18 How would Simon invest $100,000 today?

    9931445120255K viewsView on X
  • Aug 30, 20266.3x their median

    Watching the Boeing documentary on Netflix and now I don’t want to fly anywhere… 😔 And the Broken Money elements were screaming throughout the film.

    1.1K3266259K 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

#housingmarket#bitcoin#capitalism#costofliving#fixthemoneyfixtheworld

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 184 interactions against 647K followers, an engagement rate of 0.028%. Measured over 19 original posts, its engagement rate beats 50% 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 36K times each, and 0.505% of those impressions turn into an interaction. That is about 5.63% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.3 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 19 posts sampled, 68% carry an image or video, 58% are part of a thread and 26% link out. The account's strongest tracked post pulled 15K interactions, about 79x its own typical post. Recurring topics include #housingmarket, #bitcoin, #capitalism.

What is Natalie Brunell ⚡️'s engagement rate on X?
Natalie Brunell ⚡️ (@natbrunell) has an engagement rate of 0.028%, based on the median interactions across 19 original posts from the last 30 days against 646,887 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.028%, Natalie Brunell ⚡️ sits above the 25th 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 @natbrunell have real engagement?
Its engagement rate beats 50% 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 @natbrunell post?
Most posts go out around 15:00 UTC, and Monday is its busiest day, at roughly 3.33 posts per day across the measured window.

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