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Siqi Chen engagement report

@blader - 379K followers on X

Measured over 5 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Per follower
0.047%
of 379K followers
Per impression
0.361%
50K views on a typical post
Reach
13.1%
of its followers see a post
Typical post
179
interactions (median)
Saved
0.228%
113 bookmarks on a typical post
Posting rate
0.87/day
active 50% of days
Peak time
08:00 UTC
Monday

Early reading. We have captured 5 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 179 interactions against 379K followers, an engagement rate of 0.047%. Posts are seen about 50K times each, and 0.361% of those impressions turn into an interaction. That is about 13.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.87 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 08:00 UTC, and Monday is the busiest day of the week. Of the 5 posts sampled, 20% carry an image or video and 20% are part of a thread. The account's strongest tracked post pulled 52K interactions, about 288x its own typical post. Only 5 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 5 original posts from a 30-day window, last computed on September 1, 2026.

Where this sits in the catalog

At 0.047%, Siqi Chen sits above the 25th percentile of the 37,071 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.

p100.002%
p250.012%
p50 (median)0.08%
p750.435%
p902.10%
p99158.3%
Engagement rate as a share of followers, across the 37,071 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 105,527 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 percentile0.002%
25th percentile0.012%
50th percentile0.08%
75th percentile0.435%
90th percentile2.10%
99th percentile158.3%

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 08:00 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: 08:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 08:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%51K
01:00 UTC-2%52K
02:00 UTC-3%51K
03:00 UTC-4%54K
04:00 UTC-6%44K
05:00 UTC-4%42K
06:00 UTC-4%49K
07:00 UTC-5%53K
08:00 UTC-4%61K
09:00 UTC-3%71K
10:00 UTC-2%73K
11:00 UTC-3%80K
12:00 UTC-2%88K
13:00 UTC-2%96K
14:00 UTC-4%99K
15:00 UTC-2%103K
16:00 UTC-3%100K
17:00 UTC-2%92K
18:00 UTC-1%86K
19:00 UTC-2%81K
20:00 UTC-1%75K
21:00 UTC-1%67K
22:00 UTC-1%58K
23:00 UTC-1%52K
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 5%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%234K
Monday0%294K
Tuesday-3%288K
Wednesday-1%253K
Thursday-2%247K
Friday-3%256K
Saturday+3%230K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 22, 2026288x their median

    my 11 year old is taking a public speaking class they each had to speak on a random topic today she got 'dinosaurs' ... and ran out of things to say with 30 seconds left so she says: "and now please join me in a moment of silence for all those dead dinosaurs" 💀 proud dad

    49K2.5K18769430K viewsView on X
  • Aug 5, 202657x their median

    help i put screentime limits for youtube on my 11 year old’s laptop and i just found out she asked claude code to vibe code her own browser using electron and chromium to get around it what do i do now

    9.0K555430152644K viewsView on X
  • Jul 18, 202626x their median

    my new favorite of way of using fable: step 1. ask it to write a plan step 2: "please get second opinions from codex CLI using gpt-5.6-sol @ max effort and kimi CLI using kimi 3. Revise your plan with any sound findings. repeat until convergence or up to 5 rounds."

    4.3K12019328449K viewsView on X
  • Jul 22, 202619x their median

    Travis is back. https://t.co/3On4C0gO11

    3.0K184110101745K viewsView on X
  • Jul 17, 202614x their median

    looks like anthropic just silently removed the separate rate limit for fable in claude code: https://t.co/W2623TuKjS

    2.3K4615329261K viewsView on X
  • Jul 17, 202611x their median

    so kimi’s valuation is now a trillion bucks that is how this works right

    1.9K4938661K viewsView on X
  • Jul 26, 202610.0x their median

    My conversation with @dhh, co-founder of @37signals. 0:00 Cutting Rework From 50,000 Words To 25,000 2:54 Basecamp Was Built In 380 Hours 6:46 Unlimited Resources Build A Blob 10:22 Terminator Beats Avatar By A 1000x 15:24 The Printer DHH Never Wants To Upgrade 17:31 Millions In Profit From 16 Year-Old Software 20:10 The Beauty Of A Finished Product 22:54 I Would Quit Before Working In An Office 25:41 Four Uninterrupted Hours Or The Day Is Lost 31:21 Tobi Lütke Saw The AI Future First 38:51 Apple Pissed Him Off Enough To Switch 42:47 The 19 Year-Old Who Beat Apple 47:16 If Nobody Else Will Build It, I Will 52:02 The Need For Control, Independence, And Freedom 53:44 Chef's Choice, Not A Construction-Kit Burger 56:50 A New Computer Ready In 2 Minutes 1:00:33 A Cheaper Mac Will Never Win 1:02:27 The Best Ideas Sound Stupid At First 1:03:47 Out-Teach Your Competition 1:06:57 The Algorithms Broke Reciprocity 1:10:53 No Investors Is Freedom. No Customers Is Transcendence. 1:13:25 No One Gets To Tell Me What To Do 1:16:49 Your Moral Obligation To Buy A Ferrari 1:23:19 Costs Are The Only Thing You Control 1:26:49 Bezos Paid For The Promise 1:30:17 The Confidence To Say No To Everyone 1:32:59 The Day A Third Of The Company Left 1:36:49 Marc Andreessen Came To Help Includes paid partnerships.

    1.5K15963501.6M viewsView on X
  • Jul 29, 20268.9x their median

    i take back what i said about opus 5 initial results were promising / divergent but the more time i spent with it, the more infuriating of an experience it became my team feels the same way i am back on gpt-5.6-sol as my daily driver with fable and kimi 3 on planning / reviews

    1.4K481422087K viewsView on X
  • Jul 16, 20265.0x their median

    Kimi-K3 Benchmarks got leaked https://t.co/9dNpdmz8aO

    758414740281K viewsView on X
  • Jul 28, 20264.5x their median

    as capable as fable and opus 5 are, there is just something really uncomfortable about engaging with a model that is tuned to be so paternalistically opinionated. there's always this ambient feeling of condescension that makes the models hard to like.

    7172566634K 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.

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Reading these numbers

A typical post picks up 179 interactions against 379K followers, an engagement rate of 0.047%. Posts are seen about 50K times each, and 0.361% of those impressions turn into an interaction. That is about 13.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.87 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 08:00 UTC, and Monday is the busiest day of the week. Of the 5 posts sampled, 20% carry an image or video and 20% are part of a thread. The account's strongest tracked post pulled 52K interactions, about 288x its own typical post. Only 5 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Siqi Chen's engagement rate on X?
Siqi Chen (@blader) has an engagement rate of 0.047%, based on the median interactions across 5 original posts from the last 30 days against 378,806 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.047%, Siqi Chen sits above the 25th percentile of the 37,071 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 @blader have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @blader post?
Most posts go out around 08:00 UTC, and Monday is its busiest day, at roughly 0.87 posts per day across the measured window.

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