Cheng Lou engagement report
@_chenglou - 79K followers on X
Measured over 18 original posts from a 30-day window, last computed on September 15, 2026.
Engagement
A typical post picks up 614 interactions against 79K followers, an engagement rate of 0.866%. Measured over 18 original posts, its engagement rate beats 85% of 20,444 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 47K times each, and 1.29% of those impressions turn into an interaction. That is about 60.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 18:00 UTC, and Monday is the busiest day of the week. Of the 18 posts sampled, 44% carry an image or video, 17% are part of a thread and 17% link out. The account's strongest tracked post pulled 3.3K interactions, about 5.4x its own typical post. Recurring topics include #gamedev, #ゲーム制作.
Measured over 18 original posts from a 30-day window, last computed on September 15, 2026. Recurring tags: #gamedev, #ゲーム制作.
Compared with accounts its own size
Cheng Lou's engagement rate beats 85% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 6 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 47% 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 0.866%, Cheng Lou sits above the 75th percentile of the 205,782 accounts in this comparison. That places it in the top 25% band, which runs 0.679% to 2.56%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.679% |
| 90th percentile | 2.56% |
| 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 18:00 UTC, and Monday 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 | 44% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 17% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 44% 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.
- 17% 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 220 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.
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 8, 20265.4x their median
I don't wanna live in a world where someone else solves Navier-Stokes better than we do
- Mar 14, 20263.5x their median
I’m very happy to present my toy research project: Sotaku! It's a neural net that automatically discovered the rules of sudoku and learned to solve them, achieving a new state-of-the-art score of 98.9% on one of the hardest sudoku datasets, while being agnostic to the game, and beating all other sudoku-optimized neural net architectures* Read more for fun motivations, plus some extremely unconventional discoveries, e.g. reverse curriculum consistently beating curriculum (!), emergent reasoning-like capabilities, and the future of traditional programming
- Sep 14, 20263.0x their median
Today is the 25th anniversary of Kon Satoshi’s ‘Millennium Actress’. The movie is so good I can still remember exactly which cinema I watched it a quarter of a century ago, and who I saw it with. 🥲 https://t.co/q3yArSVuQf
- Jul 21, 20262.7x their median
My dear UI developers, ML practitioners, and fans of programming language: Many months & billions of tokens later, I’m proud to present to you the first step in our long, long collective journey to turn vibe coding onto proof engineering, starting with: making user interfaces verifiable. Introducing: Freerange, a zero-API tool that automatically deduces your code’s numerical ranges. By doing so, Freerange is able to prove that e.g.: - your TS layouts obey your specified sizing - that they’re free of NaNs and Infinity - that your array indices stay within bounds All of that, done statically. No browser, no running code, droppable into any codebase, and for the ML folks: RL-friendly
- Aug 23, 20262.6x their median
Did you know that CMake is a Turing-complete language? Here's an implementation of gpt-2 entirely in CMake. It runs at a whopping 47 tok/hour! https://t.co/hCks0AV4ri https://t.co/Y55ffFHzN5
- Sep 6, 20262.5x their median
Simulating a fruit fly's neural network using custom WebGPU kernels, running locally in a browser. The demo uses real connectivity data for 166,700 neurons from the MaleCNS connectome. Paint neurons and watch their activity drive the fly's movements. Built with GPT-6 Astra. https://t.co/5I410i4W6J
- Sep 1, 20262.0x their median
Petition to replace all white rice with biryani
- Aug 21, 20261.7x their median
It's time for a South Bay renaissance Might be hard to recall, but used to be not that long ago that the center of Silicon Valley was squarely in Palo Alto, not SF. When I came to the Bay in 2010, that's where I lived and that's where I stayed and settled down to build my startups It's a beautiful place to live, maybe the best weather in the world, teeming with top talent, safe and family friendly.... but the locus of tech has moved to SF., leaving the startup scene down here somewhat bare and deprived. Most of us are too busy to make it to SF more than 1-2x a month. I'm committed to revitalizing the South Bay for startups - with events, dinners, social activities (incl parent/kids activities), etc. We can build a vibrant hub down here if a few of us make it happen. If you're with me and want to be a part of this renaissance, reply or DM me and let's make it happen
- Sep 4, 2026
I’m proud to announce Hengshu, where instead of testing GPT Astra properly, I’ve whipped it to create omnidirectional Chinese poems 📜 Here are 3. First one rhymes and reads both horizontally and vertically:
- Aug 21, 2026
We're gonna look back at ai slop in a very different way than we do today https://t.co/klkwA9mVxW
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 614 interactions against 79K followers, an engagement rate of 0.866%. Measured over 18 original posts, its engagement rate beats 85% of 20,444 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 47K times each, and 1.29% of those impressions turn into an interaction. That is about 60.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 18:00 UTC, and Monday is the busiest day of the week. Of the 18 posts sampled, 44% carry an image or video, 17% are part of a thread and 17% link out. The account's strongest tracked post pulled 3.3K interactions, about 5.4x its own typical post. Recurring topics include #gamedev, #ゲーム制作.
- What is Cheng Lou's engagement rate on X?
- Cheng Lou (@_chenglou) has an engagement rate of 0.866%, based on the median interactions across 18 original posts from the last 30 days against 78,856 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.866%, Cheng Lou sits above the 75th percentile of the 205,782 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 @_chenglou have real engagement?
- Its engagement rate beats 85% of the tracked X accounts closest to it in follower count (20,444 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 @_chenglou post?
- Most posts go out around 18:00 UTC, and Monday is its busiest day, at roughly 2.07 posts per day across the measured window.