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
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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.696% |
| 90th percentile | 2.61% |
| 99th percentile | 82.7% |
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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 0% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 100% 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
- 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
- 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
- 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.
- 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
- 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
- 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.
- 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.
- 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
- 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?
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.