Caltin Joan engagement report
@JoanCaltin - 94K followers on X
Measured over 7 original posts from a 30-day window, last computed on October 25, 2026.
Engagement
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 176 interactions against 94K followers, an engagement rate of 0.186%. Posts are seen about 56K times each, and 0.315% of those impressions turn into an interaction. That is about 59.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 21:00 UTC, and Wednesday is the busiest day of the week. Of the 7 posts sampled, 100% carry an image or video, 71% are part of a thread and 29% link out. The account's strongest tracked post pulled 146K interactions, about 939x its own typical post. Recurring topics include #capcutsale, #ai, #capcutblackfriday. 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 25, 2026. Recurring tags: #capcutsale, #ai, #capcutblackfriday.
Where this sits in the catalog
At 0.186%, Caltin Joan sits above the 50th percentile of the 205,582 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.679%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.679% |
| 90th percentile | 2.56% |
| 99th percentile | 82.4% |
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 21:00 UTC, and Wednesday 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% | 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 29% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 100% 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.
- 29% 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 376 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
- Dec 19, 2024939x their median
Bu yeni nesil asla anlayamayacak. https://t.co/qQSMH8miDs
- Jul 23, 202623x their median
Introducing FLUX 3. One multi-modal model for Image, Video, Audio and Action-Prediction. Creations are truer to life in every kind of style. FLUX 3 Video is now available in early access (link below). Jointly trained in one unified architecture, our model can be extended to predict actions for robotics. See our work with mimic and Audi in the thread.
- Aug 11, 20265.6x their median
Enterprise AI is in a wildly paradoxical state 🤔, and we’re reaching the inflection point that will resolve it. 💥 Enterprises want to differentiate with AI, yet rent the same intelligence as their competitors. Their workflows and expertise are highly specialized, yet they rely on generic models built to be good at everything. They worry about AI costs, yet pay premium prices for massive models where only a fraction (1%) of the intelligence is relevant to their task. 💸 And they demand control and sovereignty, yet rent the intelligence becoming core to their business. This is not a sustainable equilibrium. The next era of enterprise AI is specialized intelligence companies build, own, and compound. And we are at the inflection point of this transition. That’s the bet we made when we started @oumi_ai two years ago. Today we’re closing the loop: Oumi can now not only automatically build your specialized AI models, but also deploy them into production, learn from their production experience, and continuously improve them. The intelligence that your business runs on, becomes your differentiator. Your compounding advantage. The winners of the next AI era will turn their own data, expertise, and experience into specialized intelligence that nobody else can rent. Don’t rent your AI. Build it. Own it. Compound it.
- Aug 21, 20265.4x their median
1/ Recursive self-improvement (RSI) depends on agents improving how AI systems are trained —not just tuning hyperparameters, but improving the training algorithm itself. We tested this directly with AI4AI-Bench: 10 real research repositories spanning 10 distinct algorithm families. Full breakdown 👇 GitHub: [https://t.co/s0f0NY7PdQ] Paper Link: [https://t.co/x0qY8wnlwB] Einsia Website:[https://t.co/Rewt4FJwl8] 📊 The results: The average score is just 0.166. Even the best-performing model, Opus 5, reaches only 0.288. The median exploration cost per task rises from $1.69 to $34.60. #AI4AI #RecursiveSelfImprovement #AIResearch #AI4AI_Bench
- Aug 18, 20265.1x their median
For fifty years, you operated the computer. Tonight, we trade places. A small box plugs in and does the work on your screen — any app, even 20-year-old software, no API. Anything irreversible waits for a key under my finger. No software can fake your control. This is Violoop. https://t.co/Mq2lHqZ90Z
- Jul 27, 20265.1x their median
We are launching iLands. Join https://t.co/R7eRLcReCF today. https://t.co/E6i7i28214
- Jul 24, 20262.1x their median
I’d pay good money to watch those two word salad machines go at each other for 90 minutes. Peak comedy and a national IQ drop all in one show 😂😂😂😂😂 https://t.co/n1RJ4UAk04
- Jul 14, 20261.9x their median
Every game world you've ever played in was built by someone before you arrived. Every room, every character, every possible outcome -- designed in advance, waiting for you to discover it. We think that's about to change. PixVerse Game is here. RT + Follow + Reply = 300 Creds & Early Access in DMs (72H ONLY)
- Oct 16, 20263.1x their median
An AI character is only the beginning. Give that character a script, a campaign goal and the right visual assets, and Codex + CapCut Web can take it from concept to a finished marketing video. The AI Smart Editing workflow can understand the source material, select useful footage and organize the edit, while shaping the captions, titles, transitions and music direction around the story. Less time sorting clips. More time thinking about the campaign. That’s a much smarter way to turn an AI influencer into content. #capcutweb #capcutchatgptplugin #capcutcodex #capcutmarketing
- Aug 10, 20262.4x their median
Today we’re launching Vizard Agent, the first Video AGI. We believe every kind of video will eventually be made through one general agent. Start with footage, a URL, an existing video, or just an idea. Describe the outcome you want, and the agent figures out the work in between. That future starts today. @VizardAgent’s pinned post is permanently open for requests. Reply with any video job. Your request goes straight to the agent, and the finished video comes back to you in the replies. Give it a job.
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
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 176 interactions against 94K followers, an engagement rate of 0.186%. Posts are seen about 56K times each, and 0.315% of those impressions turn into an interaction. That is about 59.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 21:00 UTC, and Wednesday is the busiest day of the week. Of the 7 posts sampled, 100% carry an image or video, 71% are part of a thread and 29% link out. The account's strongest tracked post pulled 146K interactions, about 939x its own typical post. Recurring topics include #capcutsale, #ai, #capcutblackfriday. 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 Caltin Joan's engagement rate on X?
- Caltin Joan (@JoanCaltin) has an engagement rate of 0.186%, based on the median interactions across 7 original posts from the last 30 days against 94,379 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.186%, Caltin Joan sits above the 50th percentile of the 205,582 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 @JoanCaltin have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @JoanCaltin post?
- Most posts go out around 21:00 UTC, and Wednesday is its busiest day, at roughly 1.47 posts per day across the measured window.