Caltin Joan engagement report
@JoanCaltin - 97K followers on X
Measured over 26 original posts from a 30-day window, last computed on August 22, 2026.
Engagement
A typical post picks up 156 interactions against 97K followers, an engagement rate of 0.159%. Measured over 26 original posts, its engagement rate beats 61% of 3,882 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 13K times each, and 1.16% of those impressions turn into an interaction. That is about 13.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.9 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 13:00 UTC, and Friday is the busiest day of the week. Of the 26 posts sampled, 100% carry an image or video and 23% link out. The account's strongest tracked post pulled 146K interactions, about 939x its own typical post. Recurring topics include #bitcoin, #notetaker, #maga.
Measured over 26 original posts from a 30-day window, last computed on August 22, 2026. Recurring tags: #bitcoin, #notetaker, #maga.
Compared with accounts its own size
Caltin Joan's engagement rate beats 61% of the tracked X accounts closest to it in follower count (3,882 accounts, accounts of similar size (decile 6 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 46% 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 0.159%, Caltin Joan sits above the 50th percentile of the 37,459 accounts in this comparison. That places it in the above the median band, which runs 0.081% to 0.438%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.081% |
| 75th percentile | 0.438% |
| 90th percentile | 2.10% |
| 99th percentile | 159.8% |
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 13:00 UTC, and Friday 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% | 52K |
| 01:00 UTC | -2% | 53K |
| 02:00 UTC | -3% | 51K |
| 03:00 UTC | -4% | 55K |
| 04:00 UTC | -6% | 44K |
| 05:00 UTC | -4% | 43K |
| 06:00 UTC | -4% | 49K |
| 07:00 UTC | -5% | 53K |
| 08:00 UTC | -4% | 62K |
| 09:00 UTC | -3% | 71K |
| 10:00 UTC | -2% | 74K |
| 11:00 UTC | -3% | 81K |
| 12:00 UTC | -2% | 89K |
| 13:00 UTC | -2% | 97K |
| 14:00 UTC | -3% | 100K |
| 15:00 UTC | -2% | 104K |
| 16:00 UTC | -4% | 101K |
| 17:00 UTC | -3% | 94K |
| 18:00 UTC | -1% | 87K |
| 19:00 UTC | -2% | 82K |
| 20:00 UTC | -1% | 77K |
| 21:00 UTC | -1% | 68K |
| 22:00 UTC | -1% | 59K |
| 23:00 UTC | -2% | 53K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 236K |
| Monday | 0% | 298K |
| Tuesday | -3% | 295K |
| Wednesday | -1% | 255K |
| Thursday | -1% | 249K |
| Friday | -3% | 257K |
| Saturday | +3% | 231K |
Best tweets
- Dec 19, 2024939x their median
Bu yeni nesil asla anlayamayacak. https://t.co/qQSMH8miDs
- Jul 23, 202651x 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 18, 20266.2x 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
- Aug 11, 20266.2x 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, 20266.2x 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
- Jul 27, 20265.1x their median
We are launching iLands. Join https://t.co/R7eRLcReCF today. https://t.co/E6i7i28214
- Jul 24, 20264.7x 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, 20264.3x 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)
- Aug 10, 20262.8x 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.
- Jul 31, 20262.7x their median
Traditional car commercials: $100k–$500k+ production budgets Weeks of shooting, actors, locations, post-production Massive time & money drain This one: Cost: $15 Time: 45 minutes Quality: Cinematic brand storytelling I just dropped a fan-made AI commercial for the Audi Q6 e-tron — fully created with Ima Studio. Unofficial concept ad, made purely for creative exploration. AI is collapsing the creative bottleneck. What used to take agencies months and six figures can now be done in under an hour for the price of lunch. And the best part? Ima Studio makes this scalable — you can mass-produce high-quality ad videos, not just one-offs. Excited to join the @ImaStudio_ai #GAICSeason2 Challenge and compete for the $10,000 prize pool alongside other creators. Let's see what everyone builds. 🚗 Create with Ima Studio: https://t.co/TCq2zVevBn 🏆 Join the challenge: https://t.co/MX1hvo1qrQ #GAICSeason2 #AICommercial #AICreators #GenerativeAI #Audi #ImaStudio
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 156 interactions against 97K followers, an engagement rate of 0.159%. Measured over 26 original posts, its engagement rate beats 61% of 3,882 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 13K times each, and 1.16% of those impressions turn into an interaction. That is about 13.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.9 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 13:00 UTC, and Friday is the busiest day of the week. Of the 26 posts sampled, 100% carry an image or video and 23% link out. The account's strongest tracked post pulled 146K interactions, about 939x its own typical post. Recurring topics include #bitcoin, #notetaker, #maga.
- What is Caltin Joan's engagement rate on X?
- Caltin Joan (@JoanCaltin) has an engagement rate of 0.159%, based on the median interactions across 26 original posts from the last 30 days against 96,645 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.159%, Caltin Joan sits above the 50th percentile of the 37,459 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?
- Its engagement rate beats 61% of the tracked X accounts closest to it in follower count (3,882 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 @JoanCaltin post?
- Most posts go out around 13:00 UTC, and Friday is its busiest day, at roughly 2.87 posts per day across the measured window.