AI News engagement report
@ai_news_x - 436K followers on X
Measured over 13 original posts from a 30-day window, last computed on September 24, 2026.
Engagement
A typical post picks up 2 interactions against 436K followers, an engagement rate of 0.001%. Measured over 13 original posts, its engagement rate beats 7% of 20,182 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 4.7K times each, and 0.043% of those impressions turn into an interaction. That is about 1.08% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 20:00 UTC, and Thursday is the busiest day of the week. Of the 13 posts sampled, 85% carry an image or video, 8% are part of a thread and 15% link out. The account's strongest tracked post pulled 31 interactions, about 16x its own typical post.
Measured over 13 original posts from a 30-day window, last computed on September 24, 2026.
Compared with accounts its own size
AI News's engagement rate beats 7% of the tracked X accounts closest to it in follower count (20,182 accounts, accounts of similar size (decile 10 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 3% 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 0.001%, AI News sits below the 10th percentile of the 202,175 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.142% |
| 75th percentile | 0.672% |
| 90th percentile | 2.54% |
| 99th percentile | 82.5% |
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 20:00 UTC, and Thursday 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 | 85% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 15% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 85% 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.
- 15% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
- Its average post runs 288 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, 202616x their median
📚 Why & how AI labs are destroying millions of books? (rare and out-of-print titles.) Here's what's happening: 1) 📖 Anthropic reportedly launched an industrial-scale book acquisition project in early 2024. 2) ✂️ Millions of books were reportedly cut apart using hydraulic machines for "destructive scanning." 3)⚡ Pages were scanned on high-speed production scanners, while the physical books were discarded. 4) 🤖 Internal documents described the goal as "disruptively scan all the world's books." 5) 📦 Some suppliers now offer up to 1 million books per order for AI training. 6) 🌍 Booksellers across Europe reported requests for 3,000+ rare and specialized titles at a time. 7) 📚 AI companies are prioritizing pre-2022 books, which are less likely to contain AI-generated content. 8) ⚖️ A U.S. court ruled that scanning a book and destroying the original in a one-to-one transfer can qualify as fair use because it's considered "transformative." 9) ⚠️ Booksellers, publishers, and authors warn that rare and out-of-print books could disappear forever if the practice scales. The race for better AI models is no longer just about scraping the web. It's now reaching library shelves. 📖🤖 Source: @franks_chung, @newscomauHQ https://t.co/KU5DJLXpcA
- Sep 17, 20266.5x their median
This Coke-Mentow video is not real. It's made by AI educator @techhalla. Please see the meticulously detailed prompts below. 👇 https://t.co/st7HGXI3a9
- Jul 11, 20266.5x their median
The AI world moves fast. We filter the noise. You get the signal. 👇 Subscribe now. https://t.co/N7oc8mJd1n https://t.co/Kg8fPPOpZh
- Sep 23, 20264.0x their median
Freya Voice unveils Adam and Eve as the world's most human-like AI voices "Adam ranks #1 among AI models on @DesignArena ’s AudioRealismBench." — @TungaBayrak, @Freyavoice (YC S25) https://t.co/80uWsssd09 / @alpsencerozturk, @ahmeterdempmk https://t.co/pqd7Iuo2J0
- Sep 19, 20263.0x their median
ChatGPT’s desktop app just got Chrome extensions. 🌐 You can now: • Install & pin Chrome extensions • Use tools like 1Password inside • Access the @googlechrome Web Store from the built-in browser • Let enterprise admins centrally manage extensions Available on macOS & Windows. @OpenAI @ChatGPT’s built-in browser is becoming a real browser. @JamesZmSun 👀
- Sep 10, 20262.5x their median
In a new piece for the @chicagotribune, @yunusemretozal raises a bigger question. 👇 If AI can do the reading, writing and research for students, what happens to the struggle that makes education valuable? https://t.co/KqTEH8Lnfd
- Aug 16, 20262.5x their median
Alibaba’s Qwen AI models have hit 3B+ downloads in just six months. The open-weight ecosystem now includes: • 460+ models • 300K+ derivatives • Qwen3.8-27B with a 262K context window • Up to 1M tokens with extension https://t.co/fDTaShhBZq
- Sep 3, 20262.0x their median
World Labs just unveiled Atlas. 🌍 The multimodal world model can: • Reconstruct detailed 3D worlds from sparse images or short videos • Generate image/video frames with pixel-perfect camera control • Simulate space and time • Create new viewpoints and smooth motion From basketball shots to museum halls, Atlas is pushing AI from generating scenes to understanding worlds. @theworldlabs
- Aug 14, 20262.0x their median
MiniMax Music 3 can generate complete songs up to 5 minutes long. It combines: • 8B Global LLM for musical structure • 0.6B Local LLM for acoustic detail • Flow Matching + Flow-VAE for audio synthesis It also offers fine-grained control over: • Lyrics & song sections • Genre, BPM, key & mood • Vocal style & harmonies • Instruments & arrangement • Groove, textures & spatial effects The model can follow how a song evolves—not just its overall style. 32 kHz, 16-bit stereo WAV output. @MiniMax_AI #aimusic #ainews
- Aug 12, 20262.0x their median
Lovable just raised $400M at a $13.3B valuation. The numbers are wild: • 60M+ projects created • 900M+ monthly visits • +450 employees planned this year • Nearly ⅔ of the Fortune 500 now have employees using it. The bigger shift: software creation is becoming accessible to everyone. Congrats to @Lovable @VArustamian @nklsmhs @lakikentaki @ElenaVerna @imwhitneyim
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 2 interactions against 436K followers, an engagement rate of 0.001%. Measured over 13 original posts, its engagement rate beats 7% of 20,182 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 4.7K times each, and 0.043% of those impressions turn into an interaction. That is about 1.08% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 20:00 UTC, and Thursday is the busiest day of the week. Of the 13 posts sampled, 85% carry an image or video, 8% are part of a thread and 15% link out. The account's strongest tracked post pulled 31 interactions, about 16x its own typical post.
- What is AI News's engagement rate on X?
- AI News (@ai_news_x) has an engagement rate of 0.001%, based on the median interactions across 13 original posts from the last 30 days against 436,012 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.001%, AI News sits below the 10th percentile of the 202,175 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 @ai_news_x have real engagement?
- Its engagement rate beats 7% of the tracked X accounts closest to it in follower count (20,182 accounts), which puts it in the bottom 10% 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 @ai_news_x post?
- Most posts go out around 20:00 UTC, and Thursday is its busiest day, at roughly 1.4 posts per day across the measured window.