Back to @_chenglou's profile

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

Top quarter for its size
Per follower
0.866%
of 79K followers
Per impression
1.29%
47K views on a typical post
Reach
66.8%
of its followers see a post
Typical post
614
interactions (median)
Saved
0.378%
180 bookmarks on a typical post
Posting rate
2.07/day
active 77% of days
Peak time
18:00 UTC
Monday

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%.

p100.004%
p250.024%
p50 (median)0.143%
p750.679%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 205,782 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.679%
90th percentile2.56%
99th percentile82.4%

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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 18:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 18:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
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 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video44% of posts+111%+108% to +115%34K
Outbound link17% 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

    3.1K1154714146K viewsView on X
  • 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

    2.0K1403717273K viewsView on X
  • 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

    1.6K20992150K viewsView on X
  • 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

    1.5K944227201K viewsView on X
  • 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

    1.5K74341385K viewsView on X
  • 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

    1.3K1113439156K viewsView on X
  • Sep 1, 20262.0x their median

    Petition to replace all white rice with biryani

    1.1K551001752K viewsView on X
  • 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

    8102919726168K viewsView on X
  • 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:

    77766391146K viewsView on X
  • Aug 21, 2026

    We're gonna look back at ai slop in a very different way than we do today https://t.co/klkwA9mVxW

    581834219308K viewsView on X

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

#gamedev#ゲーム制作

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.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

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.

Keep going