justin waldron engagement report
@jtwald - 632K followers on X
Measured over 8 original posts from a 30-day window, last computed on August 26, 2026.
Engagement
A typical post picks up 46 interactions against 632K followers, an engagement rate of 0.007%. Measured over 8 original posts, its engagement rate beats 29% of 3,791 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 19K times each, and 0.234% of those impressions turn into an interaction. That is about 3.07% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 03:00 UTC, and Saturday is the busiest day of the week. Of the 8 posts sampled, 13% carry an image or video. The account's strongest tracked post pulled 77K interactions, about 1669x its own typical post.
Measured over 8 original posts from a 30-day window, last computed on August 26, 2026.
Compared with accounts its own size
justin waldron's engagement rate beats 29% of the tracked X accounts closest to it in follower count (3,791 accounts, accounts of similar size (decile 8 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 19% 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 0.007%, justin waldron sits above the 10th percentile of the 36,759 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.434% |
| 90th percentile | 2.10% |
| 99th percentile | 160.4% |
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 03:00 UTC, and Saturday 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% | 51K |
| 01:00 UTC | -2% | 52K |
| 02:00 UTC | -3% | 50K |
| 03:00 UTC | -4% | 54K |
| 04:00 UTC | -6% | 43K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 48K |
| 07:00 UTC | -5% | 52K |
| 08:00 UTC | -4% | 61K |
| 09:00 UTC | -3% | 70K |
| 10:00 UTC | -2% | 72K |
| 11:00 UTC | -3% | 79K |
| 12:00 UTC | -2% | 87K |
| 13:00 UTC | -3% | 95K |
| 14:00 UTC | -4% | 98K |
| 15:00 UTC | -2% | 101K |
| 16:00 UTC | -4% | 99K |
| 17:00 UTC | -2% | 91K |
| 18:00 UTC | -1% | 85K |
| 19:00 UTC | -1% | 80K |
| 20:00 UTC | -1% | 75K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -2% | 58K |
| 23:00 UTC | -2% | 52K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 232K |
| Monday | 0% | 290K |
| Tuesday | -2% | 281K |
| Wednesday | -1% | 252K |
| Thursday | -2% | 245K |
| Friday | -3% | 254K |
| Saturday | +3% | 228K |
Best tweets
- Mar 28, 20261669x their median
My dear front-end developers (and anyone whoās 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
- Apr 14, 20261389x their median
Crypto has had a rough year. Maybe we should launch something to fix it.
- Mar 7, 2026436x their median
I was a 10x engineer. Now I'm useless. https://t.co/OlFdvrUEmo
- Jan 23, 2023111x 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
- Apr 2, 202681x their median
š¹ļø THE VIBE JAM IS BACK! I present you... š 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: š Gold: $20,000 š„ Silver: $10,000 š„ 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!
- Aug 8, 202664x their median
GTA 6 will be remembered as the last major game made by humans alone
- Apr 6, 202661x 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.
- Mar 27, 202651x their median
šØ 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.
- Mar 24, 202629x their median
9M downloads/week š https://t.co/XPkyR70UDG
- Jun 1, 202622x their median
Build something so good nobody cares about your handle. https://t.co/5lJUfxKPMj
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 46 interactions against 632K followers, an engagement rate of 0.007%. Measured over 8 original posts, its engagement rate beats 29% of 3,791 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 19K times each, and 0.234% of those impressions turn into an interaction. That is about 3.07% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 03:00 UTC, and Saturday is the busiest day of the week. Of the 8 posts sampled, 13% carry an image or video. The account's strongest tracked post pulled 77K interactions, about 1669x its own typical post.
- What is justin waldron's engagement rate on X?
- justin waldron (@jtwald) has an engagement rate of 0.007%, based on the median interactions across 8 original posts from the last 30 days against 631,511 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.007%, justin waldron sits above the 10th percentile of the 36,759 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?
- Its engagement rate beats 29% of the tracked X accounts closest to it in follower count (3,791 accounts), which puts it in the middle of its size range 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 @jtwald post?
- Most posts go out around 03:00 UTC, and Saturday is its busiest day, at roughly 0.83 posts per day across the measured window.