Meng To engagement report
@MengTo - 190K followers on X
Measured over 8 original posts from a 30-day window, last computed on October 13, 2026.
Engagement
A typical post picks up 582 interactions against 190K followers, an engagement rate of 0.308%. Measured over 8 original posts, its engagement rate beats 78% of 21,185 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 39K times each, and 1.48% of those impressions turn into an interaction. That is about 20.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.8 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 12:00 UTC, and Tuesday is the busiest day of the week. Of the 8 posts sampled, 100% carry an image or video, 13% are part of a thread and 63% link out. The account's strongest tracked post pulled 7.2K interactions, about 12x its own typical post.
Measured over 8 original posts from a 30-day window, last computed on October 13, 2026.
Compared with accounts its own size
Meng To's engagement rate beats 78% of the tracked X accounts closest to it in follower count (21,185 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 53% 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 0.308%, Meng To sits above the 50th percentile of the 212,078 accounts in this comparison. That places it in the above the median band, which runs 0.146% to 0.694%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.694% |
| 90th percentile | 2.61% |
| 99th percentile | 83.1% |
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 12:00 UTC, and Tuesday 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 | 63% 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.
- 63% 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 464 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
- Oct 6, 202612x their median
Big news. Shaders is now open source 🔥 Use any of our 200+ WebGPU components in your work. Ship magic in a client site, a template, a product, a library, anything. Plus, you can export code for any framework, for free. Give it a star: https://t.co/eIpRMhuS6m https://t.co/EXsXKTX02L
- Aug 17, 20269.1x their median
I’m blown away by the quality of the landing pages that Opus 5 can create in Three.js. Prompting it with "orbit using mouse" is enough to create a 3D parallax effect. The same goes for "add particles to pointer." It’s like creating a living, breathing world. More prompts I used: - Add a butterfly that flies to the branch and flies away when I mouse over it. - During the intro, first load a wireframe of the branches, similar to the field-scanning effect in Death Stranding. - Add a scan effect to the card images while they load. Then I asked it to use the shader buttons and nav bar I made in previous projects. As explained in my last video, I started with an inspiration and the prompt, “Recreate this in Three.js in a single HTML file. Self-verify until perfect.” Opus 5 ran for two hours. All the code is less than 1 MB. Inspiration: https://t.co/BGMHijEF8B Let me know if I should open-source this.
- Aug 14, 20267.7x their median
I recorded a 40-min tutorial on how to create three.js landing pages using Claude Code and Opus 5 https://t.co/EzxMhSXEVW
- Aug 11, 20266.1x their median
Gooey (liquid) effect Optimized for UI, 2 different types, works with shadows, build-in image melting effect, playground, zero dep https://t.co/1Ywv1OyfVl npm install liquid-gooey https://t.co/jVDkejG1YE
- Sep 7, 20265.2x their median
It’s incredible how far you can push the UI with Fable 5.1. This is an interactive children's book that reads the story aloud, uses layered 3D illustrations, and animates every word. Fable created the concept and story from scratch based on a prompt. You can reuse the result as a template for more children's books, then have Fable voice, animate, and illustrate each one.
- Jul 12, 20261.8x their median
New personal site hero page https://t.co/yTHiHBlKpg https://t.co/leaOQx7Jbs
- Jul 21, 20264.2x their median
Some of you asked for the link (it's in the comments). I've added depth of field, proper holo texture and a bump map for more realism. Looks crazy good for a browser! Play with it, upload your own images, export transparent PNGs. Slap stickers! Link in the comments. https://t.co/HkJ4LsTioc
- Sep 2, 20263.7x their median
Okay, Fable 5.1 is crazy good at creating three.js sites. It’s faster, understands complex design instructions better, and recreates references with surgical precision. The English is also much easier to read. With this much power, it’s hard to settle for static sites, especially when so many AI-made sites look generic. A few things I noticed though: - It still creates generic AI illustrations if you don’t specify the images. - Difficult 3D subjects like people and dogs still become 3D slop unless I use Higgsfield 3D models. - You still have to push it to improve the textures, lighting, modeling, and small details. - Taste still matters. I had to fix overlapping elements, negative space, and scroll behavior. - I used https://t.co/tECuh9VUFz and https://t.co/25OYbxZ62e for the particle, VHS, and CRT effects. - Because it works faster, I go through tokens like there’s no tomorrow. Inspired by https://t.co/xYMSPfT3fq. I can open-source this if anyone is interested.
- Sep 5, 20263.4x their median
Astra built this three.js game with gorgeous graphics, then recreated every scene in Blender and made the trailer too. It feels like a massive upgrade from Sol for 3D graphics and front-end design. The UI feels way more polished and less like AI slop. The rocks, trees, monuments, and characters are all procedural code, keeping the game under 2 MB before the image and music assets. The level of autonomy is unbelievable. It needed very little steering, though I still had to keep pushing it to work harder on the details. The UI icons, buttons, and ornaments were made as transparent PNGs with GPT Image 2.
- Aug 7, 20263.3x their median
I made a three.js landing page with 3D scrolling for every section of the site. Since AI got so good with 3D, you can replace videos with 3D instead. Apart from images, the whole site is 922 KB on disk, 290 KB gzipped. That's insane when a scrolling video site runs 20-100mb at 1080p depending on length. As usual I had to prompt for improved textures, lighting and alpha masking. I used Claude Code (desktop) with Opus 5, Higgsfield for images, and https://t.co/tECuh9VUFz for the cloth effect on them. Inspiration was Daniel Snow's awesome landing page: https://t.co/nwYLieptXl Let me know if I should open-source. Don't wanna share too many without people asking.
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 582 interactions against 190K followers, an engagement rate of 0.308%. Measured over 8 original posts, its engagement rate beats 78% of 21,185 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 39K times each, and 1.48% of those impressions turn into an interaction. That is about 20.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.8 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 12:00 UTC, and Tuesday is the busiest day of the week. Of the 8 posts sampled, 100% carry an image or video, 13% are part of a thread and 63% link out. The account's strongest tracked post pulled 7.2K interactions, about 12x its own typical post.
- What is Meng To's engagement rate on X?
- Meng To (@MengTo) has an engagement rate of 0.308%, based on the median interactions across 8 original posts from the last 30 days against 189,594 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.308%, Meng To sits above the 50th percentile of the 212,078 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 @MengTo have real engagement?
- Its engagement rate beats 78% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the top quarter 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 @MengTo post?
- Most posts go out around 12:00 UTC, and Tuesday is its busiest day, at roughly 0.8 posts per day across the measured window.