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justin waldron engagement report

@jtwald - 624K followers on X

Measured over 7 original posts from a 30-day window, last computed on October 6, 2026.

Engagement

Per follower
0.003%
of 624K followers
Per impression
0.162%
10K views on a typical post
Reach
1.67%
of its followers see a post
Typical post
17
interactions (median)
Saved
0.009%
1 bookmarks on a typical post
Posting rate
0.4/day
active 27% of days
Peak time
02:00 UTC
Monday

Early reading. We have captured 7 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 17 interactions against 624K followers, an engagement rate of 0.003%. Posts are seen about 10K times each, and 0.162% of those impressions turn into an interaction. That is about 1.68% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.4 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 02:00 UTC, and Monday is the busiest day of the week. Of the 7 posts sampled, 29% carry an image or video. The account's strongest tracked post pulled 77K interactions, about 4034x its own typical post. Only 7 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 7 original posts from a 30-day window, last computed on October 6, 2026. Recurring tag: #codex.

Where this sits in the catalog

At 0.003%, justin waldron sits below the 10th percentile of the 205,676 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.679%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 205,676 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,897 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 02:00 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: 02:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 02:00 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 video29% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 29% 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.
  • 0% 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 130 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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

  • Mar 28, 20264034x their median

    My dear front-end developers (and anyone who’s interested in the future of interfaces): I have crawled through depths of hell to bring you, for the foreseeable years, one of the more important foundational pieces of UI engineering (if not in implementation then certainly at least in concept): Fast, accurate and comprehensive userland text measurement algorithm in pure TypeScript, usable for laying out entire web pages without CSS, bypassing DOM measurements and reflow

    65K8.0K1.3K2.7K25M viewsView on X
  • Apr 14, 20263736x their median

    Crypto has had a rough year. Maybe we should launch something to fix it.

    42K4.8K12K3.9K6.7M viewsView on X
  • Mar 7, 2026436x their median

    I was a 10x engineer. Now I'm useless. https://t.co/OlFdvrUEmo

    16K1.7K1.5K9076.1M viewsView on X
  • Mar 23, 20241116x their median

    AI will create the biggest disruption in the games business model since the internet. We will see the first signs of it this year.

    13K4.4K1.1K1481.4M viewsView on X
  • Jan 23, 2023340x their median

    if you think AI chatter has reached an annoying level right now you're in for something else. it's going to be the only thing on anybody's mind starting shortly

    5.0K4111512001.5M viewsView on X
  • Apr 2, 2026219x their median

    šŸ•¹ļø THE VIBE JAM IS BACK! I present you... 🌟 2026 @cursor_ai Vibe Coding Game Jam #vibejam Sponsored by @boltdotnew + @cursor_ai Start: Today! Deadline: 1 May 2026 at 13:37 UTC, so you have a whole month to make your game! REAL CASH PRIZES: šŸ† Gold: $20,000 🄈 Silver: $10,000 šŸ„‰ Bronze: $5,000 RULES: - anyone can enter with their game - at least 90% of code has to be written by AI - it should be started today or after today, don't submit old games - game has to be accessible on web without any login or signup and free-to-play (preferrably its own domain or subdomain) - multiplayer games preferred but not required! - can use any engine but usually @ThreeJS is recommended - NO loading screens and heavy downloads (!!!) has to be almost instantly in the game (except maybe ask username if you want) - add the HTML code on the Google form in the reply below to show you're an entrant - one entry per person (focus on making one really good game!) WHAT TO USE: - anythign but we suggest @cursor_ai's Composer 3 and @boltdotnew, they are both fast, affordable and great at ThreeJS and making games THE JURY: Me, @s13k_, and I will ask some real game dev and AI people to jury again too Sponsors and jury suggestions still very welcome, just DM me! It will be interesting to see the difference in quality with last year, and the Vibe Jam can be kind of like a fun benchmark for AI coding seeing it close in on real commercial games I think To enter, complete the form in the reply below this tweet!

    2.7K2524313241.6M viewsView on X
  • Aug 8, 2026171x their median

    GTA 6 will be remembered as the last major game made by humans alone

    2.6K8212756469K viewsView on X
  • Apr 6, 2026165x their median

    vibe coding is officially dead I had to say it. we thought AI would let us relax and code "on chill", but instead it turned us into architectural bureaucrats. we write strict laws, define rules, limits, and principles. if you don't obsessively review the code agent writes, your project will mutate into a massive landfill of tech debt within a month.

    2.3K18430472293K viewsView on X
  • Mar 27, 202623x their median

    🚨 BREAKING: ANTHROPIC'S MOST POWERFUL MODEL JUST LEAKED Anthropic accidentally left draft blog posts in a publicly accessible data cache. Cybersecurity researchers found them: >new model called "Claude Mythos" >also referred to as "Capybara" >a brand new tier of model >larger and more intelligent than Opus Anthropic confirms it's real: >"a step change" >"the most capable we've built to date" >"dramatically better at coding, reasoning, and cybersecurity" >"currently far ahead of any other AI model in cyber capabilities" so far ahead they're worried about it: >"it presages an upcoming wave of models that can exploit vulnerabilities in ways that far outpace the efforts of defenders" This is genuinely a big deal.

    1.9K15118276300K viewsView on X
  • Mar 24, 202613x their median

    9M downloads/week šŸš€ https://t.co/XPkyR70UDG

    1.1K629346117K 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

#codex

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 17 interactions against 624K followers, an engagement rate of 0.003%. Posts are seen about 10K times each, and 0.162% of those impressions turn into an interaction. That is about 1.68% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.4 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 02:00 UTC, and Monday is the busiest day of the week. Of the 7 posts sampled, 29% carry an image or video. The account's strongest tracked post pulled 77K interactions, about 4034x its own typical post. Only 7 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 justin waldron's engagement rate on X?
justin waldron (@jtwald) has an engagement rate of 0.003%, based on the median interactions across 7 original posts from the last 30 days against 623,652 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, justin waldron sits below the 10th percentile of the 205,676 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 @jtwald have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @jtwald post?
Most posts go out around 02:00 UTC, and Monday is its busiest day, at roughly 0.4 posts per day across the measured window.

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