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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

Middle of its size range
Per follower
0.061%
of 326K followers
Per impression
1.06%
19K views on a typical post
Reach
5.77%
of its followers see a post
Typical post
199
interactions (median)
Saved
0.021%
4 bookmarks on a typical post
Posting rate
1.8/day
active 73% of days
Peak time
14:00 UTC
Wednesday

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%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99120.0%
Engagement rate as a share of followers, across the 65,980 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,142 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 percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile120.0%

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.

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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video78% of posts+111%+108% to +115%34K
Outbound link56% 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

    ๐Ÿš€ Rapid-MLX 0.11.0 is here. The fastest local AI engine for Apple Silicon just got faster: 25.6x faster TTFT with prefix-cache reuse. And smarter: it no longer just runs models, it runs agents - point it at your tools and it works on its own. Tool calls are schema-valid by construction, so no more almost-JSON breaking your workflow. Plus 5 new model families, all running on your Mac, no cloud. Built in public by @Raullen and the IoTeX team. ๐Ÿ”จ Open source. Local-first. Real-World AI, running where the data lives. ๐Ÿ’Ž

    1.1K136117072K viewsView on X
  • Sep 2, 20264.0x their median

    ๐Ÿ—“๏ธSAVE THE DATE: SEC Chair Paul Atkins says the CLARITY Act is headed for a Senate vote on September 15, a potentially historic step toward making America the โ€œcrypto capital of the world.โ€ The SEC also is preparing aligned rules aimed at bringing crypto innovation and capital formation back to the U.S. under American law. โ€œWe need to have people here in the United States operating under United States law.โ€

    59813055951K viewsView on X
  • 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. ๐Ÿ† https://t.co/CyZxaHQLWC

    4978079348K viewsView on X
  • Aug 26, 20263.2x their median

    Rapid-MLX 0.13.0 is out ๐Ÿš€ Rapid-MLX 0.13.0 is officially here! ๐Ÿš€ 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

    4877375331K viewsView on X
  • Sep 3, 20262.9x their median

    Rapid-MLX 0.13.4 is officially out โ€” and local inference just got a massive speed boost. ๐Ÿš€ Qwen3.5/3.6/3.8 now automatically select verified MTP + continuous speculative batching, delivering 14โ€“31% 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! ๐Ÿ™Œ ๐Ÿงต๐Ÿ‘‡ https://t.co/rmBN6TJoxj

    41311155321K viewsView on X
  • Sep 2, 20261.8x their median

    ๐Ÿš€ Nearly 2 billion tokens served through QuickSilver Pro in just two weeksโ€”and 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

    2427845116K viewsView on X
  • Aug 13, 20261.8x their median

    The latest Rapid-MLX just dropped a massive update with the new Images tab ๐ŸŽจ๐Ÿ† โœจ Generate images from any text prompt โœจ Edit instantly (Just type: "add a sleeping cat") The best part? ๐Ÿ”’ 100% on your Mac โ€” zero cloud, zero subscriptions, completely FREE. โšก๏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. ๐Ÿ‘‡)

    2345862235K viewsView on X
  • Aug 9, 20261.7x their median

    New perp listings: $IOTX ( @iotex_io ) and $1000CAT ( @SimonsCatMeme ) with up to 5x leverage. https://t.co/AdG09yMarW

    2276536542K viewsView on X
  • Aug 27, 2026

    โšก๏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

    1972040676K viewsView on X
  • Aug 17, 2026

    ๐ŸŽ‰IIP-59 Approved: The proposal for Protocol-Native Voter Reward Distribution has successfully passed! What this means for $IOTX holders: - 100% On-Chain: Voter rewards transition from off-chain servers (Hermes) straight into protocol consensus. - Zero Middleman Fees: No external service fees, maximizing payout returns for voters. - Fully Automated & Secure: Deterministic calculations enforced by block validation - no centralized keys or server dependencies. Thank you to everyone who voted to elevate IoTeXโ€™s decentralization! ๐Ÿš€ More details: https://t.co/Q53jY1QJ9o

    1881056223K 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 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.

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