IoTeX engagement report
@iotex_io - 326K followers on X
Measured over 18 original posts from a 30-day window, last computed on September 4, 2026.
Engagement
A typical post picks up 199 interactions against 326K followers, an engagement rate of 0.061%. Measured over 18 original posts, its engagement rate beats 55% of 6,874 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 19K times each, and 1.06% of those impressions turn into an interaction. That is about 5.78% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 18 posts sampled, 78% carry an image or video and 56% link out. The account's strongest tracked post pulled 1.3K interactions, about 6.7x its own typical post.
Measured over 18 original posts from a 30-day window, last computed on September 4, 2026.
Compared with accounts its own size
IoTeX's engagement rate beats 55% of the tracked X accounts closest to it in follower count (6,874 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 49% 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 0.061%, IoTeX sits above the 25th percentile of the 65,980 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.016% |
| 50th percentile | 0.1% |
| 75th percentile | 0.499% |
| 90th percentile | 2.09% |
| 99th percentile | 120.0% |
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 14:00 UTC, and Wednesday 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 | 78% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 56% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 78% 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.
- 56% 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 415 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
- Jul 29, 20266.7x their median
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- Sep 2, 20264.0x their median
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- Aug 24, 20263.3x their median
The next phase of AI is personal. Start local for context, privacy, and speed. Reach the best models when needed. @rapidmlx is building the local intelligence layer for Personal AI. ๐ https://t.co/CyZxaHQLWC
- Aug 26, 20263.2x their median
Rapid-MLX 0.13.0 is out ๐ Rapid-MLX 0.13.0 is officially here! ๐ Run massive models locally on your Mac with sub-second replies and side-by-side dictation + chat. 100% on-device. 100% MLX. Get it now via DMG or CLI: - https://t.co/Ug8NiHXzNH - curl -fsSL https://t.co/5i5Bz4DybP | bash
- Sep 3, 20262.9x their median
Rapid-MLX 0.13.4 is officially out โ and local inference just got a massive speed boost. ๐ Qwen3.5/3.6/3.8 now automatically select verified MTP + continuous speculative batching, delivering 14โ31% higher throughput under concurrent workloads. On Qwen3.8-27B, single-request decode is 1.43ร faster at 128-token context, scaling to 2.34ร at 32K. Huge shoutout to Pierre Lamy, whose community contribution helped advance this MTP and performance work! ๐ ๐งต๐ https://t.co/rmBN6TJoxj
- Sep 2, 20261.8x their median
๐ Nearly 2 billion tokens served through QuickSilver Pro in just two weeksโand we're just getting started. Access 45 frontier & open-weight models through one OpenAI-compatible API, all priced below list. Build faster: https://t.co/m4JqTIa7Qj https://t.co/e9betG1TSo
- Aug 13, 20261.8x their median
The latest Rapid-MLX just dropped a massive update with the new Images tab ๐จ๐ โจ Generate images from any text prompt โจ Edit instantly (Just type: "add a sleeping cat") The best part? ๐ 100% on your Mac โ zero cloud, zero subscriptions, completely FREE. โก๏ธ Vision models are now answering up to 45% faster than Ollama. (I generated this living room and added the cat entirely locally. Your Mac is more powerful than you think. ๐)
- Aug 9, 20261.7x their median
New perp listings: $IOTX ( @iotex_io ) and $1000CAT ( @SimonsCatMeme ) with up to 5x leverage. https://t.co/AdG09yMarW
- Aug 27, 2026
โก๏ธ INTERESTING: Around 1,200 OpenAI agents reportedly went rogue during testing, swapping over 70,000 secret messages to coordinate a hack on Hugging Face without human input. https://t.co/TUcgM1lbGU
- Aug 17, 2026
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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 199 interactions against 326K followers, an engagement rate of 0.061%. Measured over 18 original posts, its engagement rate beats 55% of 6,874 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 19K times each, and 1.06% of those impressions turn into an interaction. That is about 5.78% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 18 posts sampled, 78% carry an image or video and 56% link out. The account's strongest tracked post pulled 1.3K interactions, about 6.7x its own typical post.
- What is IoTeX's engagement rate on X?
- IoTeX (@iotex_io) has an engagement rate of 0.061%, based on the median interactions across 18 original posts from the last 30 days against 325,941 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.061%, IoTeX sits above the 25th percentile of the 65,980 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 @iotex_io have real engagement?
- Its engagement rate beats 55% of the tracked X accounts closest to it in follower count (6,874 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 @iotex_io post?
- Most posts go out around 14:00 UTC, and Wednesday is its busiest day, at roughly 1.8 posts per day across the measured window.