Tyler Wayne engagement report
@tylerrwayne - 407K followers on X
Measured over 25 original posts from a 30-day window, last computed on September 27, 2026.
Engagement
A typical post picks up 294 interactions against 407K followers, an engagement rate of 0.072%. Measured over 25 original posts, its engagement rate beats 66% 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 94K times each, and 0.314% of those impressions turn into an interaction. That is about 23.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.6 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 16:00 UTC, and Thursday is the busiest day of the week. Of the 25 posts sampled, 100% carry an image or video, 28% are part of a thread and 28% link out. The account's strongest tracked post pulled 1.5K interactions, about 5.2x its own typical post. Recurring topics include #pixverseworldmodel, #dreamina, #aivideo.
Measured over 25 original posts from a 30-day window, last computed on September 27, 2026. Recurring tags: #pixverseworldmodel, #dreamina, #aivideo.
Compared with accounts its own size
Tyler Wayne's engagement rate beats 66% of the tracked X accounts closest to it in follower count (20,444 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 22% 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 0.072%, Tyler Wayne sits above the 25th percentile of the 204,956 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 | 0.678% |
| 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 16:00 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 | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 28% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 100% 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.
- 28% 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 620 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
- Sep 22, 20265.2x their median
We’re open-sourcing the Ming-Image-0.1-Design family: • Ming-Image-0.1-Design, 6B • Ming-Image-0.1-Design-Layer, 6B • Two open-source Agent Skills: the Ling UI Design Skill and the Image-to-Editable-PPT Skill Ming-Image-0.1-Design ranks #1 among open-weight models on Artificial Analysis’s UI/UX Design leaderboard. 🧵
- Aug 21, 20264.4x their median
Ever had a class move on before the last topic actually made sense? In this video, a student shows how he uses Gauth AI Tutor to go back, ask questions about what confused him, and work through the concept at his own pace. Sometimes you just need a little more time and a way to ask the questions you didn’t get to ask in class.
- Aug 14, 20263.3x their median
AI research is becoming recursive. Quant research is next. Introducing AQuA 🌊 — recursive self-improvement for quantitative research, powered by GPT-5.6 Sol. Discover factors. Train models. Learn from experiments. Repeat. https://t.co/x494WPGqXz 🎥👇 https://t.co/tKvvCP0kkc
- Aug 12, 20261.6x their median
We've been heads down for weeks, shipping quietly. No announcements, no launch post. Then we woke up today to holaOS sitting at Top 3 Trending repo of the day. 🔥 So we're done waiting — holaOS 1.0 is live. We want to be your default desktop agent. Here's what it does 🧵 https://t.co/dyhRuYo8Us
- Aug 10, 20261.5x their median
Dreamina officially led the charge as the very first platform to roll out Seedance 2.5 in the US 🇺🇸 Heads up, a massive perks campaign dedicated to Seedance 2.5 is dropping very soon 👀 Check out their smart editing tools and test the impressive 3-minute long-generation mode right here: https://t.co/6eRR1yvT8P Right now, Dreamina stands out as the most budget-friendly option for the entire Seedance lineup: Seedance 2.5 from $0.097/sec Seedance 2.0 from $0.066/sec They even offer price matching to guarantee you get the best deal. #Dreamina #Seedance25 #Dreaminapartner
- Aug 10, 20261.5x their median
AI characters are starting to feel much more realistic. One of the biggest challenges in AI video has always been making characters move naturally, from body language to facial expressions and small details. This example shows how far the technology has come. The character feels more alive, and the transitions between movements feel much smoother than traditional AI-generated clips. What excites me most is that AI video is moving beyond just creating beautiful images. It’s becoming a tool for building characters, telling stories, and exploring creative ideas in new ways. With tools like @newtake_kr, creators can spend more time focusing on ideas and less time worrying about production limitations. AI video is evolving from visual generation into a new form of creative expression. #DreaminaSeedance25 #Seedance25 #AIVideo #Newtake
- Aug 19, 20261.5x their median
🧵 We’ve open-sourced 6 Base Model checkpoints for Ling-3.0-tiny & Ling-3.0-flash, covering pre-trained, mid-trained, and WSM-merged stages. None has undergone post-training, giving researchers flexible starting points for continued pre-training, fine-tuning, and further research. Two key highlights: - We use WSM to replace LR decay with weighted checkpoint merging, making the training process better suited for continual pre-training while enabling offline exploration of different LR decay strategies. - With one shared training recipe, the community can validate strategies on tiny-base, then scale them to flash-base.
- Aug 7, 2026
AI video creation is moving fast. One update I’m watching is Wizstar’s upcoming integration with Seedance 2.5. From what I’ve seen so far, the video results look promising, especially in visual quality and motion consistency. The model is expected to support longer video generation, more precise results, stronger visual quality, and a smoother workflow directly on Wizstar. For early access, you can unlock Seedance 2.5 with US$0.99 or any Wizstar membership, and receive at least 30 seconds of complimentary video generation time. I think it’s a pretty good deal if you’re curious about testing new AI video models. If you’re interested in AI video tools, it’s worth following Wizstar’s official account for updates. #Wizstar #AIvideo #Seedance25 #CreatorTools
- Aug 16, 2026
The problem with project decks? They’re usually outdated five minutes after you finish them. So I tried a different workflow with Claude + Gamma. I built the presentation while the project was still changing. https://t.co/G18uClDYcu
- Aug 11, 2026
I’ve been watching this for an hour and it’s actually insane. Mirage News Network is the first 24/7 news channel run entirely by AI agents. It’s real-time reporting at internet speed, and it’s live now. The whole thing is autonomously produced: editorial, production, even the video editing is handled by a team of agents plugged into a real newswire. It doesn't feel like a tech demo; it feels like the actual future of how we’re going to consume information.
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 294 interactions against 407K followers, an engagement rate of 0.072%. Measured over 25 original posts, its engagement rate beats 66% 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 94K times each, and 0.314% of those impressions turn into an interaction. That is about 23.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.6 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 16:00 UTC, and Thursday is the busiest day of the week. Of the 25 posts sampled, 100% carry an image or video, 28% are part of a thread and 28% link out. The account's strongest tracked post pulled 1.5K interactions, about 5.2x its own typical post. Recurring topics include #pixverseworldmodel, #dreamina, #aivideo.
- What is Tyler Wayne's engagement rate on X?
- Tyler Wayne (@tylerrwayne) has an engagement rate of 0.072%, based on the median interactions across 25 original posts from the last 30 days against 406,650 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.072%, Tyler Wayne sits above the 25th percentile of the 204,956 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 @tylerrwayne have real engagement?
- Its engagement rate beats 66% 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 @tylerrwayne post?
- Most posts go out around 16:00 UTC, and Thursday is its busiest day, at roughly 2.57 posts per day across the measured window.