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Clara Bennett engagement report

@CodeswithClara - 67K followers on X

Measured over 24 original posts from a 30-day window, last computed on September 19, 2026.

Engagement

Middle of its size range
Per follower
0.046%
of 67K followers
Per impression
1.41%
2.2K views on a typical post
Reach
3.25%
of its followers see a post
Typical post
31
interactions (median)
Saved
0.251%
6 bookmarks on a typical post
Posting rate
1.7/day
active 63% of days
Peak time
08:00 UTC
Thursday

A typical post picks up 31 interactions against 67K followers, an engagement rate of 0.046%. Measured over 24 original posts, its engagement rate beats 34% of 15,519 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 2.2K times each, and 1.41% of those impressions turn into an interaction. That is about 3.25% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 08:00 UTC, and Thursday is the busiest day of the week. Of the 24 posts sampled, 88% carry an image or video and 21% are part of a thread. The account's strongest tracked post pulled 2.6K interactions, about 84x its own typical post. Recurring topics include #hyper3d, #rodin, #tonebird.

Measured over 24 original posts from a 30-day window, last computed on September 19, 2026. Recurring tags: #hyper3d, #rodin, #tonebird.

Compared with accounts its own size

Clara Bennett's engagement rate beats 34% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 5 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 50% 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 0.046%, Clara Bennett sits above the 25th percentile of the 156,148 accounts in this comparison. That places it in the below the median band, which runs 0.022% to 0.127%.

p100.003%
p250.022%
p50 (median)0.127%
p750.604%
p902.32%
p9983.3%
Engagement rate as a share of followers, across the 156,148 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,016 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 percentile0.003%
25th percentile0.022%
50th percentile0.127%
75th percentile0.604%
90th percentile2.32%
99th percentile83.3%

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 Thursday 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 111%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%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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video88% of posts+111%+108% to +115%34K
Outbound link4% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 88% 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.
  • 4% 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 1103 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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

  • Sep 4, 202684x their median

    Sam Altman (CEO of Open AI): "You no longer need to write prompts." In just 38 minutes, he explains how to use ChatGpt at a level that most people can't even imagine. It's talk he gave to stanford students. A friend sent me the recording last night. After watching it, I realized I was only taking advantage of about 15% of what this tool can really do. Watch it in full and then read the guide l leave below on how to create a system that prompts itself.

    2.2K318409345K viewsView on X
  • Aug 9, 202661x their median

    Elon Musk just gave the clearest AI timeline we’ve heard so far. In under 10 minutes he lays out: 1) AI surpasses all human intelligence in ~5 years 2) Humans most likely lose control within 10 years 3) Most probable outcome: an age of amazing abundance 4) “Even if there was a stop button — we probably shouldn’t press it” This is denser and more direct than most hour-long podcasts on the topic. If you still think AI is “just another tool”, this 10-minute segment will recalibrate you.

    1.4K28913322337K viewsView on X
  • Sep 14, 20265.4x their median

    I stopped hand modeling dungeons for my roguelike. GPT-6 Astra now plans the whole thing and writes the code. No engine. Just Codex and a browser. When it needs a 3D asset, it calls Hyper3D Rodin MCP and drops the model straight into the scene. Here is the dungeon crawler it built.

    924430029K viewsView on X
  • Sep 17, 20262.3x their median

    ChatGPT, Claude & Grok are cooking… 🔥 But Gemini? That’s why Gemini is out of the race. https://t.co/UwTIeE4EMW

    5710509.6K viewsView on X
  • Sep 4, 20261.7x their median

    The creator of Ruby on Rails just said programmers may be worse at AI coding than people who cannot code. Lex Fridman asked David Heinemeier Hansson directly. His answer: 100%. Because once the AI handles the implementation, knowing how to write a loop is no longer the rare skill. The valuable skills become: What should this product do? Who is it for? What should version one include? What needs to be removed? What should the AI build first? A traditional programmer may tell the agent exactly how to solve the problem. That experience can become a trap. The agent follows the old path instead of finding a better one. Meanwhile, someone who understands users, products, priorities, and taste can describe the desired result and let the agent choose the route. Programming knowledge still matters when the system breaks. But AI is moving the bottleneck away from writing code. The advantage now belongs to the person who knows what should exist, not merely how to implement it. WATCH FULL PODCAST ON Lex fridman YT CHANNEL

    27101503.5K viewsView on X
  • Sep 12, 2026

    A Google Cloud engineer just showed how to build a complete app with Claude from scratch. 26 minutes, live on stage, doing what most teams take weeks to ship. Worth more than any $500 vibe-coding course. No team, no setup, just Claude and a goal. The people learning what Claude can actually do are shipping what everyone else outsources to a team.

    2513801.5K viewsView on X
  • Sep 6, 2026

    🚨 TRUMP: “Whoever wins AI, wins.” “This is bigger than the internet. This is a revolution.” President Trump goes ALL IN on American innovation, saying the U.S. must beat China in AI as the technology is already driving breakthroughs that are transforming fields like medicine. https://t.co/Vgh8IR3zSx

    2111802.5K viewsView on X
  • Sep 8, 2026

    If you love anime, you deserve to know this website exists. Someone built an anime website that puts new episodes, watchlists, and release schedules in one place. It’s called KuroAnime. Open the website, search for a show, or browse what’s airing this season. https://t.co/ugCCe2YY4Q You get: > Latest releases. > Completed series. > Upcoming anime. > Episode schedules. > Watch history. > AniList and MyAnimeList watchlist syncing. There’s also a guest option if you just want to look around. The site says it doesn’t host the video files itself, so playback availability can vary. Your “I’ll watch one episode” plan just got another enemy 🤣

    1910909.8K viewsView on X
  • Sep 9, 2026

    GPT-6 Astra vs Fable 5.1 for a Coca-Cola brand. Which one performing the best?👇 https://t.co/UmtfV4OQwr

    1910802.5K viewsView on X
  • Sep 1, 2026

    BREAKING: AI can now design like Apple-level creative directors (for free). Here are 10 Claude Opus 4.6 prompts that build complete design systems, brand guidelines & 47+ marketing assets in 6 hours: (Designers are already snapping this)

    1610811.6K 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

#hyper3d#rodin#tonebird

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 31 interactions against 67K followers, an engagement rate of 0.046%. Measured over 24 original posts, its engagement rate beats 34% of 15,519 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 2.2K times each, and 1.41% of those impressions turn into an interaction. That is about 3.25% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 08:00 UTC, and Thursday is the busiest day of the week. Of the 24 posts sampled, 88% carry an image or video and 21% are part of a thread. The account's strongest tracked post pulled 2.6K interactions, about 84x its own typical post. Recurring topics include #hyper3d, #rodin, #tonebird.

What is Clara Bennett's engagement rate on X?
Clara Bennett (@CodeswithClara) has an engagement rate of 0.046%, based on the median interactions across 24 original posts from the last 30 days against 67,447 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.046%, Clara Bennett sits above the 25th percentile of the 156,148 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 @CodeswithClara have real engagement?
Its engagement rate beats 34% of the tracked X accounts closest to it in follower count (15,519 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 @CodeswithClara post?
Most posts go out around 08:00 UTC, and Thursday is its busiest day, at roughly 1.7 posts per day across the measured window.

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