Sally Stockholm engagement report
@aiwithsally - 245K followers on X
Measured over 22 original posts from a 30-day window, last computed on September 9, 2026.
Engagement
A typical post picks up 277 interactions against 245K followers, an engagement rate of 0.113%. Measured over 22 original posts, its engagement rate beats 64% of 6,874 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 23K times each, and 1.23% of those impressions turn into an interaction. That is about 9.22% 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, with activity on roughly 70% of days. Most posts go out around 19:00 UTC, and Tuesday is the busiest day of the week. Of the 22 posts sampled, 59% carry an image or video. The account's strongest tracked post pulled 3.0K interactions, about 11x its own typical post.
Measured over 22 original posts from a 30-day window, last computed on September 9, 2026.
Compared with accounts its own size
Sally Stockholm's engagement rate beats 64% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 7 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 52% 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 0.113%, Sally Stockholm sits above the 50th percentile of the 65,980 accounts in this comparison. That places it in the above the median band, which runs 0.1% to 0.499%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.016% |
| 50th percentile | 0.1% |
| 75th percentile | 0.499% |
| 90th percentile | 2.09% |
| 99th percentile | 120.0% |
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 19:00 UTC, and Tuesday 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 | 59% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 59% 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 621 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 8, 202611x their median
Gemini 3.8 Flash and Muse Spark 1.3 are two of the most clearly benchmaxxed models we've seen yet. Despite being comparable to both GPT-6 and Fable 5.1 on Terminal Bench 2.1, their Terminal Bench 4.0 performance is markedly worse. (1/5)🧵 https://t.co/K2ccQjWm11
- Sep 1, 20267.2x their median
Fable 5.1 is rolling out right now!! It is selectable in Claude Code v2.1.257. WE ARE SO BACK! https://t.co/V9PMOlJqn2
- Aug 26, 20263.6x their median
MiniMax H3 Max, a post-trained version of MiniMax H3 developed by fal, debuts at #1 in Image to Video and #3 in Text to Video on the Artificial Analysis Video Leaderboards with Audio, ahead of the base MiniMax H3 on both MiniMax H3 Max is built and served by fal, and post-trained from MiniMax H3. fal describes it as being tuned for stronger prompt adherence and better aesthetics, co-optimized with their custom inference stack for higher throughput. It generates 5 to 15 second clips with native audio at up to 768p. In the Artificial Analysis Video Arena, H3 Max ranks #1 in Image to Video with Audio, narrowly ahead of ByteDance's Dreamina Seedance 2.0 720p. It ranks #3 in Text to Video with Audio, on a board where the top three models sit within 6 points of each other. fal prices MiniMax H3 Max at $0.04 per second of 768p video ($2.40 per minute). The base MiniMax H3 endpoint on fal is $0.06 per second at the same resolution. fal has stated its intent to release the weights for MiniMax H3 Max. If it does, H3 Max would become the highest ranked open weights model on both boards, ahead of MiniMax H3, which leads on open weights today. Congratulations to @fal on the release! See below for comparisons between MiniMax H3 Max and other leading models in the Artificial Analysis Video Arena 🧵
- Jul 14, 20262.0x their median
Getting a like from the co-founder of OpenAI means the world to me. Thank you @gdb I pour my entire life into my research and making it available to you all. ❤️ https://t.co/KxW3W4JHdv
- Aug 22, 2026
One thing about agentic AI feels way bigger than another AI model getting slightly smarter: We're moving from AI that answers to AI that acts. You used to open ChatGPT, ask a question, get an answer, and then do the actual work yourself. Now you can give an agent a goal: “Find potential customers for my business.” And it can research companies, browse websites, find the right people, organize the data, write personalized messages, and keep going until the task is done. That's a completely different relationship with software. We're not just using AI as a better search box anymore. We're starting to delegate work to it. And honestly, I think the biggest opportunity won't be the people who use AI to save 10 minutes. It'll be the people who figure out which entire workflows they can hand over to AI. That's when this gets really interesting.
- Sep 4, 2026
The difference between GPT-6 Astra and Fable 5.1 is obvious here. Same prompt, both building a website with real-time fluid physics. Move the cursor and the water reacts, waves spread, run into each other, and slowly flatten out. Built end to end on Higgsfield Supercomputer. https://t.co/5yFM9Wzw94
- Aug 23, 2026
The image generation leaderboard is getting seriously competitive. GPT Image 2 is sitting at #1 with a 1369 Elo, but the gap is actually pretty small Reve 2.1 and Nano Banana 2 are right behind at 1322 and 1320. What’s interesting is how crowded the top has become. Google, OpenAI, and newer models are all fighting within a pretty tight range. Image generation is no longer just about making a decent picture. The real competition now is who can consistently nail quality, text, composition and details. This space is moving FAST.
- Aug 26, 2026
AI is entering a weird phase. A year ago, the big question was: “Which AI model is smarter?” Now the more interesting question is: “Which AI can actually get the job done?” We’re moving from models that answer questions to agents that can research, browse, write code, use tools, make decisions and keep working without someone guiding every step. That changes the game. Because if AI can handle an entire workflow instead of just helping with one task, we're no longer talking about a better chatbot. We're talking about software that can actually work for you. And honestly, I think we're still very early.
- Aug 28, 2026
AI is entering a dangerous phase. Not because it's becoming too intelligent. Because humans are getting too comfortable being less intelligent. We used to Google things and read. Now we ask AI. We used to write emails. Now AI writes them. We used to solve coding problems. Now AI generates the solution. We used to think through ideas. Now we ask, “Give me 10 ideas.” And honestly, I get it. AI saves an insane amount of time. But there’s a weird trade-off happening. The more AI does for us, the less often we practice doing things ourselves. The next era of AI won't just be about smarter models. It will be about figuring out how to use AI as a superpower... without outsourcing our ability to think.
- Aug 25, 2026
2016 AI: “Look, it can recognize a cat.” 2026 AI: “Give me a goal.” Then it can research, write code, analyze data, create images, use tools, browse the internet, and actually get parts of the job done. That's the part people underestimate. We didn't just make AI better at answering questions. We made it increasingly capable of doing things. And the next decade might be less about asking: “How smart can AI become?” and more about: “How much of our work are we willing to let it handle?”
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 277 interactions against 245K followers, an engagement rate of 0.113%. Measured over 22 original posts, its engagement rate beats 64% of 6,874 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 23K times each, and 1.23% of those impressions turn into an interaction. That is about 9.22% 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, with activity on roughly 70% of days. Most posts go out around 19:00 UTC, and Tuesday is the busiest day of the week. Of the 22 posts sampled, 59% carry an image or video. The account's strongest tracked post pulled 3.0K interactions, about 11x its own typical post.
- What is Sally Stockholm's engagement rate on X?
- Sally Stockholm (@aiwithsally) has an engagement rate of 0.113%, based on the median interactions across 22 original posts from the last 30 days against 245,184 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.113%, Sally Stockholm sits above the 50th percentile of the 65,980 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 @aiwithsally have real engagement?
- Its engagement rate beats 64% of the tracked X accounts closest to it in follower count (6,874 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 @aiwithsally post?
- Most posts go out around 19:00 UTC, and Tuesday is its busiest day, at roughly 1.53 posts per day across the measured window.