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WallStreetBots engagement report

@WallStreetB0Ts - 150K followers on X

Measured over 14 original posts from a 30-day window, last computed on September 24, 2026.

Engagement

Bottom quarter for its size
Per follower
0.004%
of 150K followers
Per impression
0.182%
3.6K views on a typical post
Reach
2.35%
of its followers see a post
Typical post
6
interactions (median)
Saved
0.028%
1 bookmarks on a typical post
Posting rate
2.03/day
active 33% of days
Peak time
13:00 UTC
Monday

A typical post picks up 6 interactions against 150K followers, an engagement rate of 0.004%. Measured over 14 original posts, its engagement rate beats 12% of 20,444 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 3.6K times each, and 0.182% of those impressions turn into an interaction. That is about 2.38% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 14 posts sampled, 100% carry an image or video, 7% are part of a thread and 21% link out. The account's strongest tracked post pulled 14K interactions, about 2294x its own typical post. Recurring topics include #boosterrobotics, #humanoid, #robotics.

Measured over 14 original posts from a 30-day window, last computed on September 24, 2026. Recurring tags: #boosterrobotics, #humanoid, #robotics.

Compared with accounts its own size

WallStreetBots's engagement rate beats 12% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 8 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 10% 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 0.004%, WallStreetBots sits above the 10th percentile of the 205,048 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 205,048 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 13:00 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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 video100% of posts+111%+108% to +115%34K
Outbound link21% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 100% 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.
  • 21% 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 235 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

  • Sep 2, 20262294x their median

    Elon Musk is telling you to buy robotics stocks. "There will be at least a billion robots in 10 years, each producing at least 5x the output of a human" Morgan Stanley says robots are a $5 TRILLION market by 2050. Here are 7 stocks positioned to benefit:👇 https://t.co/cQtoWv0m2B

    12K1.6K311682.1M viewsView on X
  • Sep 22, 202649x their median

    Today we’re launching OpenRoboto Shift, opening a new chapter for OpenRoboto. Shift is a decentralized network for collecting egocentric robotics data: first-person video of real people doing real work. Only Possible on Bittensor. Explore Shift → https://t.co/D4iykN0sBe https://t.co/Ia1prWVgOu

    21744131940K viewsView on X
  • Feb 27, 202631x their median

    Dropping something early. $MIL / Millionero’s native token (Sol) Regulated exchange Real usage Growing activity Exchange tokens historically move with real volume expansion! ~$9.37M market cap. That’s pre-attention levels Solana CA: 6Tk3uHQpLDtd4Qob5fduLjfhXxAasWgvdo8hYeswxMiL Radar on.

    1212043045K viewsView on X
  • Sep 18, 202622x their median

    T2 is on watch — monitoring its surroundings and identifying what doesn’t belong. #boosterrobotics #humanoid #robotics https://t.co/uTXoO6ndgo

    1001491027K viewsView on X
  • Sep 22, 202619x their median

    Live action with real robots instead of animation: Divorced. I was exploring how to make Reachy Mini more expressive and I got lost in the plot again. One is a Wireless and the other a Lite. Both have the experimental "Prosody Wobbler". What do you think? https://t.co/Kg8P61Qkiv

    92101225.2K viewsView on X
  • Sep 17, 20262.7x their median

    🚨 JUST IN: @Figure_robot releases Helix 2.5, "the most important project we've ever taken on at Figure." Helix 2.5 is Figure’s latest foundation model, built so a humanoid can walk into a home it has never seen and start working on its own. → They rented 30 Bay Area homes and collected zero data in any of them → One model walked in and tidied rooms, folded towels, and made beds → Index pretraining lifted zero-shot success from 9% to 56% → Half the task data of Helix 02, across 30x more homes → When it failed, it stepped back, repositioned, and recovered with its whole body https://t.co/XmpwLB2c0r

    101415.5K viewsView on X
  • Sep 21, 20262.2x their median

    It’s finally here The ChatGPT moment for robotics 🤣 https://t.co/77jHGpkCJq

    110203.6K viewsView on X
  • Sep 21, 2026

    We really are entering the robotics renaissance Which horse are you backing? https://t.co/y9gr0QZ8D4

    60012.2K viewsView on X
  • Sep 22, 2026

    NEWS: @XPENG_Global showcases IRON human-like capabilities in car salesman demo → Autonomous orientation tracking during interaction with conversational body language → Seamless multilingual switching → Dynamic multidimensional identity memory “Every human instinct is the result of precise coordination between AI foundation models and hardware capabilities” https://t.co/auDr76JJjG

    40024.4K viewsView on X
  • Sep 22, 2026

    Jensen Huang: The biggest robotics problem is DATA “Data has to be in the perspective of the robot. Most of the world’s video data is from the third-person.” “Eventually, we have a world foundation model that can understand the physical from any perspective you want.” https://t.co/Lly2pioMD5

    40102.0K 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

#boosterrobotics#humanoid#robotics

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 6 interactions against 150K followers, an engagement rate of 0.004%. Measured over 14 original posts, its engagement rate beats 12% of 20,444 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 3.6K times each, and 0.182% of those impressions turn into an interaction. That is about 2.38% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 14 posts sampled, 100% carry an image or video, 7% are part of a thread and 21% link out. The account's strongest tracked post pulled 14K interactions, about 2294x its own typical post. Recurring topics include #boosterrobotics, #humanoid, #robotics.

What is WallStreetBots's engagement rate on X?
WallStreetBots (@WallStreetB0Ts) has an engagement rate of 0.004%, based on the median interactions across 14 original posts from the last 30 days against 149,862 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.004%, WallStreetBots sits above the 10th percentile of the 205,048 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 @WallStreetB0Ts have real engagement?
Its engagement rate beats 12% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom quarter 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 @WallStreetB0Ts post?
Most posts go out around 13:00 UTC, and Monday is its busiest day, at roughly 2.03 posts per day across the measured window.

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