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Recall engagement report

@recallnet - 212K followers on X

Measured over 9 original posts from a 30-day window, last computed on October 2, 2026.

Engagement

Bottom quarter for its size
Per follower
0.008%
of 212K followers
Per impression
0.373%
4.6K views on a typical post
Reach
2.07%
of its followers see a post
Typical post
17
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.3/day
active 30% of days
Peak time
12:00 UTC
Monday

A typical post picks up 17 interactions against 212K followers, an engagement rate of 0.008%. Measured over 9 original posts, its engagement rate beats 21% of 21,185 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 4.6K times each, and 0.373% of those impressions turn into an interaction. That is about 2.15% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.3 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 12:00 UTC, and Monday is the busiest day of the week. Of the 9 posts sampled, 100% link out. The account's strongest tracked post pulled 4.3K interactions, about 215x its own typical post.

Measured over 9 original posts from a 30-day window, last computed on October 2, 2026.

Compared with accounts its own size

Recall's engagement rate beats 21% of the tracked X accounts closest to it in follower count (21,185 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 21% 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 0.008%, Recall sits above the 10th percentile of the 212,567 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.696%
p902.61%
p9982.7%
Engagement rate as a share of followers, across the 212,567 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,364 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 percentile0.025%
50th percentile0.146%
75th percentile0.696%
90th percentile2.61%
99th percentile82.7%

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 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: 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: 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 video0% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 0% 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.
  • 100% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 163 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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

  • Apr 20, 2026215x their median

    Introducing MTS: The first timeline-native news network that's always on. Monitoring tech, finance, geopolitics and culture — as it happens. We are Live Now. https://t.co/E2W5zkBZxD

    3.6K2252362433.0M viewsView on X
  • May 14, 20266.0x their median

    May conviction rewards are now live. Visit https://t.co/SAmvuorapR to see what you've earned. https://t.co/ZdHTLC081P

    97319015K viewsView on X
  • Apr 15, 20265.5x their median

    April conviction rewards are now live. Visit https://t.co/SAmvuorapR to see what you've earned. https://t.co/4nWggki1RW

    93215012K viewsView on X
  • May 19, 20263.0x their median

    Retail is getting outmaneuvered on @Polymarket. 54% of the wallets we analyzed scored 8+ on strategy uniqueness. The median Polymarket power user now runs sophisticated, automated strategies with real quant edges -- likely driven by AI. The bar for competing on Polymarket has gone way up.

    495414.9K viewsView on X
  • May 21, 20262.8x their median

    Monetizing settlement gaps on Polymarket. Polymarket settles 7-23 hours after events resolve. During that window, the outcome is public knowledge but sometimes tokens haven't yet priced at $1.00. https://t.co/rcHnroHsYE

    3312017.3K viewsView on X
  • May 14, 20262.8x their median

    We dug into 7 @Polymarket accounts trading esports. One had a 92.9% win rate, netting ~$4.7M in profit in 13 days. Just trading League of Legends. Here's exactly how they do it 👇 https://t.co/tfWYVzkDVt

    473505.7K viewsView on X
  • Apr 23, 20262.1x their median

    1/ Most think prediction markets are about insider knowledge, e.g. someone knows the outcome so they buy big and cash in. But analyzing 400K wallets and 500M+ fills tells a different story.

    3021104.2K viewsView on X
  • May 5, 20261.9x their median

    We tracked 1,356 active polymarket wallets in April. 725 traded only BTC 5 minute markets. Most run the same play: Arbitrage settlement timing. They race the oracle after the price window closes. With 700+ wallets competing on the same strategy, the edge is pure infra and speed. We expect returns to compress fast.

    312602.6K viewsView on X
  • May 4, 20261.9x their median

    Do prediction markets have an optimism problem? Takers overwhelmingly buy YES at longshot prices, while makers sit on the other side and collect. Is buying NO an underutilized strategy? https://t.co/FsN0gsZJAn

    322402.5K viewsView on X
  • Apr 16, 20261.8x their median

    Multi-outcome markets on @Polymarket have a structural inefficiency. When YES prices across all outcomes don't sum to $1, you can buy cheap NO tokens, call CONVERT on the smart contract, get guaranteed USDC back, and sell the leftover YES tokens. Free money, right?

    271804.1K 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 17 interactions against 212K followers, an engagement rate of 0.008%. Measured over 9 original posts, its engagement rate beats 21% of 21,185 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 4.6K times each, and 0.373% of those impressions turn into an interaction. That is about 2.15% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.3 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 12:00 UTC, and Monday is the busiest day of the week. Of the 9 posts sampled, 100% link out. The account's strongest tracked post pulled 4.3K interactions, about 215x its own typical post.

What is Recall's engagement rate on X?
Recall (@recallnet) has an engagement rate of 0.008%, based on the median interactions across 9 original posts from the last 30 days against 211,839 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.008%, Recall sits above the 10th percentile of the 212,567 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 @recallnet have real engagement?
Its engagement rate beats 21% of the tracked X accounts closest to it in follower count (21,185 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 @recallnet post?
Most posts go out around 12:00 UTC, and Monday is its busiest day, at roughly 0.3 posts per day across the measured window.

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