IoTeX engagement report
@iotex_io - 319K followers on X
Measured over 10 original posts from a 30-day window, last computed on October 12, 2026.
Engagement
A typical post picks up 367 interactions against 319K followers, an engagement rate of 0.117%. Measured over 10 original posts, its engagement rate beats 62% 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 19K times each, and 1.95% of those impressions turn into an interaction. That is about 5.91% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.93 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 14:00 UTC, and Friday is the busiest day of the week. Of the 10 posts sampled, 90% carry an image or video and 70% link out. The account's strongest tracked post pulled 1.1K interactions, about 2.9x its own typical post.
Measured over 10 original posts from a 30-day window, last computed on October 12, 2026. Recurring tag: #sftechweek.
Compared with accounts its own size
IoTeX's engagement rate beats 62% 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 62% 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 0.117%, IoTeX sits above the 25th percentile of the 204,491 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 14:00 UTC, and Friday 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 | 90% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 70% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 90% 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.
- 70% 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 607 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, 20262.9x their median
🚀 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. 🔨 Open source. Local-first. Real-World AI, running where the data lives. 💎
- Oct 2, 20262.4x their median
IoTeX v2.5.0 (Zanzibar Hardfork) is officially out! 🌐 MainNet activation: Block 53,533,081 (est. Oct 19, 02:00 UTC). This is a massive protocol upgrade that moves staking rewards fully on-chain, tightens EVM precision, and lays the security groundwork for our next phase of scalability. Here is how it impacts the network: 🗳️ 1. Fully Decentralized Staking Rewards (IIP-59) - The Tech: Voter rewards are now natively computed and distributed by the protocol itself at era boundaries (24 epochs). - The Impact: Zero reliance on off-chain services (like Hermes). Staking yields are now 100% trustless and automated. We’ve designed this for a seamless transition—most Hermes-vault delegates with complete reward portions will be migrated automatically at the fork block. ⚡️ 2. EVM Precision & Gas Savings - The Tech: Corrected GetCommittedState for absent prestates and fixed SELFDESTRUCT transfer-log amounts. - The Impact: Strict compliance with EIP-2200 dynamic gas rules. For developers and users, this prevents massive gas overcharging on certain in-place writes (saving 2,800 gas per hit). For indexers and wallets, token balance histories reconstructed from tx logs are now perfectly accurate. 🛡️ 3. Proactive Security (BLS PoP) - The Tech: BLS proof-of-possession is now enforced on candidate register/update operations. - The Impact: This completely closes the rogue-key forgery window today, safely paving the runway for IIP-52 signature aggregation (massive network scalability) tomorrow. (Note: Providing a BLS key is now optional until IIP-52 is live). 🖥️ 4. Zero-Friction Upgrades for Node Operators - The Tech: The hardfork heights and new contract addresses are baked directly into the binary. - The Impact: No genesis replacements. No config changes. Just a pure, clean binary roll. 👉 docker pull iotex/iotex-core:v2.5.0 and restart. Dive into the full technical details here: https://t.co/h4GXyBByJg
- Sep 2, 20262.1x their median
🗓️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 “crypto capital of the world.” The SEC also is preparing aligned rules aimed at bringing crypto innovation and capital formation back to the U.S. under American law. “We need to have people here in the United States operating under United States law.”
- Oct 6, 20261.5x their median
The IoTeX team is in San Francisco for #SFTechWeek 🌉 We're here to talk about one idea: intelligence is leaving the data center, and it needs an open, verifiable network to work together. If you're building with local AI, agents, inference or intelligent machines, let's meet. DMs open. 👇
- Oct 5, 2026
Rapid-MLX 0.15.6 is live 🚀 This release is all about the CLI. We've removed the friction of running local AI on your Mac. The biggest win? Running Qwen3.8-27B is now incredibly stable and ready for long-running sessions. ✨ Highlights: • Smarter tool-calling: Auto-configured parsers for community checkpoints. • No memory bloat: Prompt release of context caches. • Faster decoding: Less overhead and host sync on self-MTP paths. • Clearer errors: Startup issues now suggest recovery paths.
- Sep 22, 2026
Rapid-MLX 0.15.0 is live! 🚀 Run Xiaomi MiMo-V2.6 Flash locally on high-memory Apple Silicon — a 309B-total / 15B-active MoE reaching 49–59 tok/s on M3 Ultra. Features verified tool calling, structured JSON output, and prompt caching that cuts a 15K context repeat from 34.2s to 0.95s. What’s new in 0.15.0: • Qwen-Image 2.1: Integrated across Server & Desktop (text-to-image & editing) with Mac-optimized memory defaults. • Gemma 4 Boost: Up to 1.16× faster decoding via an optional assistant sidecar. • Efficiency Gains: Desktop idle CPU dropped from ~60% to 1.2–3.6%. • Reliability & UX: Improved context/memory failure recovery, single-instance Desktop mode, and easier discovery for the Community Benchmark. Local AI on Apple Silicon keeps getting faster, broader, and more practical. 📥 Download: https://t.co/rmBN6TJoxj (Huge thanks to @subwaycookiecrunch for benchmarking on M5!)
- Aug 24, 2026
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. 🐆 https://t.co/CyZxaHQLWC
- Oct 9, 2026
🚀 Rapid-MLX v0.16.0 is here! Turn your Mac into an absolute local AI powerhouse. Introducing TensorFold profiles with massive speedups: 🔥 DeepSeek V4 Flash: up to 2.1× throughput 🧠 Bonsai 2 27B: +42% ✨ Gemma 4 26B: +4% Upgrade and get more tokens: https://t.co/0qpIQCU0Tq
- Sep 10, 2026
🚀 Rapid-MLX 0.14.0 is officially LIVE! We've completely supercharged inference and scheduling on Apple Silicon. The speed and efficiency gains are massive. On an M3 Ultra: 🔥 Qwen3.8 27B: +14% boost (now cruising at 52.28 tok/s) 💻 Muse-Glimmer 30B: 2x faster for your heavy coding workflows ⚡ First-token latency (TTFT) under heavy load? We slashed it by a staggering 60% (from 3.0s down to 1.2s). 100% Local. Zero Cloud. Complete Privacy. 🧵👇
- Sep 3, 2026
Rapid-MLX 0.13.4 is officially out — and local inference just got a massive speed boost. 🚀 Qwen3.5/3.6/3.8 now automatically select verified MTP + continuous speculative batching, delivering 14–31% higher throughput under concurrent workloads. On Qwen3.8-27B, single-request decode is 1.43× faster at 128-token context, scaling to 2.34× at 32K. Huge shoutout to Pierre Lamy, whose community contribution helped advance this MTP and performance work! 🙌 🧵👇 https://t.co/rmBN6TJoxj
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.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 367 interactions against 319K followers, an engagement rate of 0.117%. Measured over 10 original posts, its engagement rate beats 62% 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 19K times each, and 1.95% of those impressions turn into an interaction. That is about 5.91% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.93 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 14:00 UTC, and Friday is the busiest day of the week. Of the 10 posts sampled, 90% carry an image or video and 70% link out. The account's strongest tracked post pulled 1.1K interactions, about 2.9x its own typical post.
- What is IoTeX's engagement rate on X?
- IoTeX (@iotex_io) has an engagement rate of 0.117%, based on the median interactions across 10 original posts from the last 30 days against 318,996 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.117%, IoTeX sits above the 25th percentile of the 204,491 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 62% 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 @iotex_io post?
- Most posts go out around 14:00 UTC, and Friday is its busiest day, at roughly 0.93 posts per day across the measured window.