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Wall St Engine engagement report

@wallstengine - 205K followers on X

Measured over 82 original posts from a 30-day window, last computed on October 12, 2026.

Engagement

Middle of its size range
Per follower
0.074%
of 205K followers
Per impression
0.533%
28K views on a typical post
Reach
14.0%
of its followers see a post
Typical post
149
interactions (median)
Saved
0.039%
11 bookmarks on a typical post
Posting rate
4.03/day
active 27% of days
Peak time
12:00 UTC
Tuesday

A typical post picks up 149 interactions against 205K followers, an engagement rate of 0.074%. Measured over 82 original posts, its engagement rate beats 54% 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 28K times each, and 0.533% of those impressions turn into an interaction. That is about 13.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 12:00 UTC, and Tuesday is the busiest day of the week. Of the 82 posts sampled, 60% carry an image or video. The account's strongest tracked post pulled 1.2K interactions, about 8.2x its own typical post.

Measured over 82 original posts from a 30-day window, last computed on October 12, 2026.

Compared with accounts its own size

Wall St Engine's engagement rate beats 54% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 28% 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 0.074%, Wall St Engine sits above the 25th percentile of the 205,152 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 205,152 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 12:00 UTC, and Tuesday 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 link5% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 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.
  • 5% 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 417 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

  • Sep 15, 20268.2x their median

    UK finance teams have waited long enough. Ramp is now live in the UK. Sorry we’re late. https://t.co/zajnLsZtPJ https://t.co/TprtPXSLPR

    1.1K686435205K viewsView on X
  • Oct 9, 20266.5x their median

    Lumentum $LITE CEO says its optical components are "completely sold out" through early 2029 on demand for faster AI data centers.

    836812929181K viewsView on X
  • Sep 15, 20266.1x their median

    $META CEO Mark Zuckerberg says he doesn’t think the AI industry needs a coordinated pause. Each lab should slow down on its own when safety requires it, and that alignment will increasingly become a competitive advantage because people won’t use AI agents they can’t trust. Meta already delayed Muse for several months to address safety and security issues without asking other labs to pause with it. Zuckerberg also said Meta has committed the significant majority of its compute to serving users rather than racing toward recursive AI self-improvement.

    77867422891K viewsView on X
  • Sep 15, 20265.9x their median

    $META TO ROLL OUT TWO NEW IN-HOUSE AI CHIPS IN 2027, PLANS 1GW+ OF CUSTOM SILICON CAPACITY Meta plans to begin deploying its new MTIA 450 chip, code-named Arke, across data centers in the first half of 2027, as it pushes to reduce the cost and energy required to run AI models. The next-generation MTIA 500, code-named Astrid, is expected to finish design work in roughly a month and enter data centers by the end of 2027. Meta expects Astrid to be deployed even more broadly than Arke. Meta is working with Broadcom $AVGO on chip design and TSMC on manufacturing. The company has already committed to more than 1 gigawatt of capacity using its custom chips over a 12-month period and expects deployment to accelerate after that. Meta received its first 12 Arke chips from TSMC on Sept. 1. Early testing showed performance within 2% to 3% of simulations, and the chips were able to run models from Meta, DeepSeek and Alibaba on the first day. The chips are designed primarily as general-purpose inference “workhorses,” rather than for the fastest latency-sensitive workloads. Meta says its close coordination between its AI teams and chip designers allows the hardware to deliver better performance per watt and per dollar for its own workloads than current NVIDIA systems. Meta also canceled a previously planned chip called Olympus, which was intended to handle both AI training and inference, after determining that such a design could cost roughly 30% more. The company is instead concentrating its custom silicon roadmap on lower-cost inference at gigawatt scale. After Astrid, Meta plans to focus future generations on higher speed and throughput, including using fiber-optic technologies to improve performance. Source: Bloomberg

    75582271694K viewsView on X
  • Sep 15, 20265.5x their median

    $META launched Meta One, a global subscription spanning Instagram, Facebook, WhatsApp and Meta AI. Plans start at $2.99/month for individual apps, with bundles up to $19.99 offering expanded AI and creator tools. Meta One has already reached 15M subscriptions and trials. https://t.co/lzC2XfiWxg

    72055262290K viewsView on X
  • Oct 6, 20264.6x their median

    Google $GOOGL and Constellation $CEG signed a 20-year nuclear power deal to add 890 MW to the PJM grid through upgrades at 11 reactors, backed by $4.3B in investment. They also agreed to a 15-year supply deal covering another 2.7 GW, with the first uprate expected in 2028. https://t.co/J1cNw2kpod

    59452242275K viewsView on X
  • Oct 6, 20264.6x their median

    NVIDIA is now worth $1 Trillion more than Apple. https://t.co/IoWzBUqeKk

    6333021436K viewsView on X
  • Oct 6, 20264.1x their median

    $UBER TO ACQUIRE EZCATER FOR $2.3B IN CASH, EXPANDING UBER EATS INTO CATERING Uber is buying ezCater, a U.S. workplace meals and catering platform with 140,000+ restaurant partners and more than $2.5B in trailing 12-month gross bookings. ezCater is growing at a high-teens rate YoY, has average orders above $400, and is profitable on a non-GAAP operating income basis. Uber expects the deal to be margin accretive. After closing, ezCater will be integrated with Uber Eats and Uber for Business, giving Uber a larger presence in high-value group and enterprise food orders.

    52845191994K viewsView on X
  • Oct 7, 20263.7x their median

    $SPCX SEEKS $40B TO FUND MASSIVE $NVDA CHIP PURCHASE: FT SpaceX is looking to raise about $40B in financing led by Apollo to fund purchases of Nvidia chips. The plan includes roughly $10B in bank loans and $30B in investment-grade debt, with the transaction expected to close in 2027. Elon Musk said in August that SpaceX had “decided to build exclusively on Nvidia,” specifically pointing to its Vera Rubin architecture, as the company ramps spending on AI and data-center infrastructure.

    4475841749K viewsView on X
  • Oct 6, 20263.5x their median

    Micron $MU will pay Netlist a total of $600M, $30M a quarter from Q4 2026 to Q3 2031, under patent license and settlement deals that end all pending litigation between them.

    4763315177K 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 149 interactions against 205K followers, an engagement rate of 0.074%. Measured over 82 original posts, its engagement rate beats 54% 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 28K times each, and 0.533% of those impressions turn into an interaction. That is about 13.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 12:00 UTC, and Tuesday is the busiest day of the week. Of the 82 posts sampled, 60% carry an image or video. The account's strongest tracked post pulled 1.2K interactions, about 8.2x its own typical post.

What is Wall St Engine's engagement rate on X?
Wall St Engine (@wallstengine) has an engagement rate of 0.074%, based on the median interactions across 82 original posts from the last 30 days against 205,074 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.074%, Wall St Engine sits above the 25th percentile of the 205,152 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 @wallstengine have real engagement?
Its engagement rate beats 54% 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 @wallstengine post?
Most posts go out around 12:00 UTC, and Tuesday is its busiest day, at roughly 4.03 posts per day across the measured window.

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