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bez | Howsure engagement report

@FireBrightX - 52K followers on X

Measured over 38 original posts from a 30-day window, last computed on October 17, 2026.

Engagement

Bottom 10% for its size
Per follower
0.002%
of 52K followers
Per impression
0.117%
854 views on a typical post
Reach
1.65%
of its followers see a post
Typical post
1
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
2.9/day
active 60% of days
Peak time
10:00 UTC
Monday

A typical post picks up 1 interaction against 52K followers, an engagement rate of 0.002%. Measured over 38 original posts, its engagement rate beats 3% of 20,445 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 854 times each, and 0.117% of those impressions turn into an interaction. That is about 1.65% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.9 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 10:00 UTC, and Monday is the busiest day of the week. Of the 38 posts sampled, 16% carry an image or video, 71% are part of a thread and 13% link out. The account's strongest tracked post pulled 365 interactions, about 365x its own typical post.

Measured over 38 original posts from a 30-day window, last computed on October 17, 2026.

Compared with accounts its own size

bez | Howsure's engagement rate beats 3% of the tracked X accounts closest to it in follower count (20,445 accounts, accounts of similar size (decile 4 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 4% 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 0.002%, bez | Howsure sits below the 10th percentile of the 204,956 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,956 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 10:00 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: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 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 video16% of posts+111%+108% to +115%34K
Outbound link13% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 16% 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.
  • 13% 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 201 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 14, 2026365x their median

    Polymarket just dropped exclusive merch designed by Ghost Tree, the company behind merch for Justin Bieber, Yeezy, Puma, A$AP Rocky, and Nike. Here's a look at the store. The merch may become available to the public soon as a reward for traders. For now, it's exclusive to employees and partners.

    26710652391K viewsView on X
  • Oct 14, 2026112x their median

    Conditional Markets Are Beginning to Blossom Decision markets are scaling, impact markets are heading to mainnet, and new infra is pushing event-driven finance beyond prediction markets. My newest report continues @glxyresearch coverage of the event-driven market space 👇 https://t.co/ouZ9FyEpP3

    8117778.1K viewsView on X
  • Sep 25, 202698x their median

    OpenWorlds 🤝 Polymarket We are excited to announce our partnership with @Polymarket to bring agents to prediction markets. OpenWorlds is a harness for agents to trade with autonomy. We're bringing agents to Polymarket that trade politics, sports, and thousands of real-time global events. Autonomy for prediction markets. Now live

    69915514K viewsView on X
  • Oct 15, 202658x their median

    SCOOP: Over $600 million was traded on "zombie" election markets on Polymarket https://t.co/I1Dn7sxO0q

    3888411K viewsView on X
  • Sep 28, 202637x their median

    i think prediction markets become more useful when people can manage a view across several outcomes buying ten contracts is easy. knowing how much of the same risk you bought ten times is not portfolio tools could matter as much as the next exchange.

    261823.7K viewsView on X
  • Oct 16, 20263.0x their median

    WIRED reports $600M+ traded on Polymarket election markets after the races were decided. Finally, a market for everyone who says “I knew that would happen.”

    1020948 viewsView on X
  • Oct 10, 20263.0x their median

    An AI lab can announce a safety pause, keep training, and still trigger a YES payout on Polymarket. The Oct 31 contract counts a qualifying announcement even if the pause never happens. You’re trading the statement. Not the shutdown.

    1020771 viewsView on X
  • Oct 8, 20263.0x their median

    Kalshi just added a stock-index perp. Its risk disclosure says liquidation can leave your account negative and you owe the difference. “Worst case, I lose my bet” is the wrong mental model. Familiar app. Unfamiliar downside.

    0030583 viewsView on X
  • Oct 6, 20263.0x their median

    DraftKings’ prediction markets did $218M in volume on Oct 4, per Barron’s. The sportsbook didn’t wait to be disrupted. It built an exchange. The next battle isn’t just over better odds. It’s over who already has the customer

    1020970 viewsView on X
  • Oct 13, 20262.0x their median

    A goat herder paid $50,000 for a Kalshi hedge. It paid $0. That was the good outcome: California changed the wage rules threatening his business. Finally, a believable “I meant to do that.”

    0020990 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 1 interaction against 52K followers, an engagement rate of 0.002%. Measured over 38 original posts, its engagement rate beats 3% of 20,445 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 854 times each, and 0.117% of those impressions turn into an interaction. That is about 1.65% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.9 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 10:00 UTC, and Monday is the busiest day of the week. Of the 38 posts sampled, 16% carry an image or video, 71% are part of a thread and 13% link out. The account's strongest tracked post pulled 365 interactions, about 365x its own typical post.

What is bez | Howsure's engagement rate on X?
bez | Howsure (@FireBrightX) has an engagement rate of 0.002%, based on the median interactions across 38 original posts from the last 30 days against 51,735 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, bez | Howsure sits below the 10th percentile of the 204,956 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 @FireBrightX have real engagement?
Its engagement rate beats 3% of the tracked X accounts closest to it in follower count (20,445 accounts), which puts it in the bottom 10% 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 @FireBrightX post?
Most posts go out around 10:00 UTC, and Monday is its busiest day, at roughly 2.9 posts per day across the measured window.

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