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Theoriq engagement report

@TheoriqAI - 268K followers on X

Measured over 15 original posts from a 30-day window, last computed on October 20, 2026.

Engagement

Middle of its size range
Per follower
0.013%
of 268K followers
Per impression
0.723%
5.0K views on a typical post
Reach
1.85%
of its followers see a post
Typical post
36
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.57/day
active 40% of days
Peak time
16:00 UTC
Tuesday

A typical post picks up 36 interactions against 268K followers, an engagement rate of 0.013%. Measured over 15 original posts, its engagement rate beats 27% 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 5.0K times each, and 0.723% of those impressions turn into an interaction. That is about 1.86% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 15 posts sampled, 87% carry an image or video, 47% are part of a thread and 20% link out. The account's strongest tracked post pulled 91 interactions, about 2.5x its own typical post.

Measured over 15 original posts from a 30-day window, last computed on October 20, 2026.

Compared with accounts its own size

Theoriq's engagement rate beats 27% 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 34% 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 0.013%, Theoriq sits above the 10th percentile of the 205,152 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 205,152 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 16:00 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 16:00 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 video87% of posts+111%+108% to +115%34K
Outbound link20% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 87% 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.
  • 20% 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 250 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

  • Aug 10, 20262.5x their median

    Gold has traditionally been bought in fixed physical units. XAU₮ makes exposure to physical gold available in smaller digital units, without requiring you to buy an entire coin or bar. The gold remains whole. Access becomes more practical. https://t.co/XLDwHDqyFC

    66101148.5K viewsView on X
  • Sep 24, 20262.0x their median

    We're getting ready for @rwaweek Singapore, and are proud to be one of the strategic partners for @rwasummit RWA Summit is the capstone event, bringing industry experts, protocols, and institutions together. Be sure to catch @PeiChen01 while you're there! Details below ⤵️ https://t.co/FGJLvZrP5G

    691305.0K viewsView on X
  • Sep 8, 20261.9x their median

    What separates vault curators from fund managers? @PeiChen01 shared why non-custodial vaults give depositors more control and clear boundaries. Great conversation at the @rwasummit along with @Bitwise and @Surus_io. Appreciate @TuongvyLe12 (@veda_labs) moderating! https://t.co/LntxCjqiuc

    587406.0K viewsView on X
  • Sep 25, 20261.9x their median

    You don't want to miss the Stablecoin Sessions during @token2049 We'll be gathering with some of the top leaders across the industry to share our perspectives on where stablecoins fit into the future of on-chain finance 🗓️ Oct. 7 @ 10am 📍 Forework Coffee @ Esplanda Mall Luma below ⤵️

    640406.2K viewsView on X
  • Sep 28, 20261.8x their median

    We're one week out from @token2049 and have a huge slate of events across Singapore Here's a list of events you can find @PeiChen01 and @incyd__ at! • Mon. Oct. 5: @rwaweek's Dealflow Investor Brunch • Tue. Oct. 6: @GammaSummit Investing Summit • Tue. Oct. 6: @rwaweek Tokenised Singapore VIP Event (as a strategic partner for the event) • Tue. Oct. 6: @Yield_Summit • Wed. Oct. 7: @hack_vc Stablecoin Sessions (as an event co-host) • Thu. Oct. 8: @moreandmorebd Agentic Finance Summit • Fri. Oct. 9: @rwaweek's RWA Summit (as a strategic partner) • Fri. Oct. 9: @Vault__Summit, hosted by @Morpho & @DigiFTTech 🧵 For full details & Lumas

    561627.3K viewsView on X
  • Oct 7, 20261.6x their median

    If you've never spoken with @PeiChen01 you're missing your chance to learn from one of the sharpest minds in on-chain yield and risk management Not just understanding, but proven and in the trenches. A leader. Thank you @Yield_Summit for hosting us for this panel https://t.co/Ib9GLBNmnk

    501704.1K viewsView on X
  • Sep 14, 20261.6x their median

    Theoriq CEO @PeiChen01 will be speaking at Agentic Finance Summit by @moreandmorebd during TOKEN2049 Exploring the intersection of institutional grade risk-managed yield, and unleashing the exponential potential of agentic workflows 📍 Oct. 8, Suntec Singapore https://t.co/IYIKee1X34

    502236.6K viewsView on X
  • Sep 22, 20261.6x their median

    Vaults do not replace the asset manager or the issuer. They create demand for what they issue @PeiChen01 at the RWA panel during Boston @blockchainwk with @WisdomTreePrime and @Securitize on the layer between tokenized assets and the people who actually use them https://t.co/BAb9F584wH

    531206.1K viewsView on X
  • Sep 2, 20261.6x their median

    .@PeiChen01 at the @rwasummit sharing her key insights into one of the hottest topics across the industry: have vaults become the new fund managers? Great conversation alongside leaders from @Bitwise, @gauntlet_xyz, @Surus_io, and moderated by @veda_labs @TuongvyLe12 https://t.co/Vs5ekvBnZC

    503305.3K viewsView on X
  • Jul 24, 2026

    Theoriq CEO @PeiChen01 is joining the Institutions and Tokenized Markets Panel alongside @Anchorage, @FTDA_US, and @krakenfx. Looking forward to sharing our expertise during @StanfordSBA Blockchain Application Summit Stanford (BASS). July 30, we'll see you out there! https://t.co/OQFOEkv02A

    492116.3K 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 36 interactions against 268K followers, an engagement rate of 0.013%. Measured over 15 original posts, its engagement rate beats 27% 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 5.0K times each, and 0.723% of those impressions turn into an interaction. That is about 1.86% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 15 posts sampled, 87% carry an image or video, 47% are part of a thread and 20% link out. The account's strongest tracked post pulled 91 interactions, about 2.5x its own typical post.

What is Theoriq's engagement rate on X?
Theoriq (@TheoriqAI) has an engagement rate of 0.013%, based on the median interactions across 15 original posts from the last 30 days against 268,362 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.013%, Theoriq sits above the 10th 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 @TheoriqAI have real engagement?
Its engagement rate beats 27% 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 @TheoriqAI post?
Most posts go out around 16:00 UTC, and Tuesday is its busiest day, at roughly 1.57 posts per day across the measured window.

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