SARAH engagement report
@SarahAnnabels - 223K followers on X
Measured over 28 original posts from a 30-day window, last computed on October 2, 2026.
Engagement
A typical post picks up 184 interactions against 223K followers, an engagement rate of 0.082%. Measured over 28 original posts, its engagement rate beats 56% of 20,444 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 100K times each, and 0.184% of those impressions turn into an interaction. That is about 44.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.3 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 28 posts sampled, 96% carry an image or video, 29% are part of a thread and 18% link out. The account's strongest tracked post pulled 1.2K interactions, about 6.7x its own typical post. Recurring topics include #3d, #capcutpc, #gpt6astra.
Measured over 28 original posts from a 30-day window, last computed on October 2, 2026. Recurring tags: #3d, #capcutpc, #gpt6astra.
Compared with accounts its own size
SARAH's engagement rate beats 56% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 11% 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 0.082%, SARAH sits above the 25th percentile of the 204,798 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 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 16:00 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 | 96% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 18% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 96% 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.
- 18% 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 564 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
- May 6, 20256.7x their median
This is wild 🚨 HeyGen just dropped Avatar IV, and people are going crazy over it. Now you can create realistic videos from a single photo and a script. Here’s how it works 👇 https://t.co/gJtwJLit4W
- Aug 27, 20263.7x their median
Trucking is one of the hardest jobs in America, and most people never think about it. Gatik just raised $200 million to make the problem go away forever. Here's everything to know: 🧵 https://t.co/pQsyJc8hnc
- Sep 23, 20261.8x their median
I used to think pulling off a cinematic, handheld tracking shot required a full camera crew and expensive stabilizing rigs. Turns out, I built this entire vibe scene entirely in Dreamina AI! With its Web Experience and Canvas update, Dreamina AI now integrates a lot of hit video Workflows and Skills, across from real-life successes in film, brand ads, social media content scenes and so many others. Here’s the video I made with the updated Dreamina AI:
- Aug 21, 20261.5x their median
🚨 SELF-LEARNING AI IS HERE AND IT CONSTANTLY IMPROVES OVER TIME Most AI tools give you an answer and stop. But what if your AI agent could learn from its own work, improve its performance, and get better at completing tasks? That’s what @abacusai is building with ChatLLM. Here’s how it works↓
- Sep 7, 2026
Is 3D becoming the missing middle layer between AI imagination and controllable video? That’s the question this workflow raised for me. Instead of asking AI to figure out the whole scene at generation time, you establish the spatial logic first. #GPT6Astra #CapCutPC https://t.co/iFmBd2dp3f
- Sep 10, 2026
🚨 I was genuinely surprised that we are overpaying AI agents for e-commerce tasks!! I used to think the best AI agent was simply the one with the BEST output. I don't think that anymore. I recently compared 3 AI agents by giving them the same real-world e-commerce tasks: 1️⃣ Accio 2️⃣ Claude Code 3️⃣ OpenAI Codex I wasn't testing who could write the best paragraph. I wanted to see how they handled the messy stuff businesses actually deal with: Supplier research. Pricing. Product listings. Emails. Market research. Multi-step decisions. And Accio genuinely surprised me. Accio is the most cost-effective E-commerce AI tool for SMEs The biggest difference I noticed wasn't just the output. It was how Accio approached the work. With Accio, I noticed it wasn't trying to use maximum compute for every single step. Routine tasks are handled by lightweight, e-commerce specific models, while more complicated parts got deeper reasoning. That sounds simple, but it's actually a pretty big deal for e-commerce. Why should I spend the compute of a massive reasoning model just to extract information from a supplier quote? Accio seems to understand that distinction. And it goes even further. It can reuse cached information, compress context and coordinate different agents instead of repeatedly processing the same stuff. Less duplicated work. Less unnecessary processing. Less wasted tokens. And that's when I started understanding why Accio can be so much more cost-effective. It's not simply trying to find the CHEAPEST model. It's trying to use the right AI Model for every task. I then looked at a benchmark across 107 real e-commerce tasks: → Accio: $3.69 → OpenAI Codex: $9.27 → Claude Code: $9.51 Accio came in at 50%+ lower cost, with comparable completion quality. And these weren't made-up toy tasks. The benchmark was built from real merchant activity: 10M SMB users 1.6M real conversations 200K execution traces That's what makes the result interesting to me. Because e-commerce isn't just “ask AI a question → get an answer.” Real business work is messy. You have different suppliers, conflicting information, changing prices, huge amounts of context and dozens of little decisions happening inside one workflow. That's where I think Accio has an interesting advantage. It's built specifically around commerce workflows, rather than treating every problem like a generic AI problem. So I've changed how I look at AI agents. I don't necessarily want the agent that uses the biggest model. I want the agent that knows when to use expensive AI Models & when to use CHEAPER models !! And for e-commerce, that's why I'd pick Accio.
- Sep 14, 2026
🚨 People are making around 10,000$ by selling ONE 3d website !! Now you can BUILD it using AI... 1️⃣ No Blender 2️⃣ No 3d Modeling 3️⃣ No CODING required You just need ONE Codex Plugin Check The Thread 👇 Hashtags: #AholoLux3D #Lux3D #GPT6 #Astra #3D Built with @ManycoreTech's AI Model
- Sep 24, 2026
I genuinely thought Dreamina had accidentally left off a zero. $15 for a month of AI video? Sure. $1.5 for a full month of Basic? That made me check the numbers twice. 😂 So I compared what that monthly price actually gets you: $1.5 → 9 Seedance 2.0 10s videos or 393 1K images. Okay… that’s a different kind of pricing. 👀 #Dreamina #DreaminaPartner
- Sep 11, 2026
If I were launching a fashion or beauty brand, I'd probably build the homepage like this. Turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline. First, create the same model/product character across completely different backgrounds in Dreamina. Then give those visuals to GPT-6 Astra and have it turn them into one continuous animated background. The goal isn't really "AI video" - it's making the first few seconds of a brand website feel like a campaign film. Dreamina's affordable generation cost makes it easy to test different scenes before committing to the final direction. This is definitely the kind of homepage I'd stop scrolling for. #Dreamina #DreaminaPartner
- Aug 28, 2026
🚨 3D ASSET CREATION just got a LOT cheaper. Because this AI can generate a 3D asset from a SINGLE IMAGE… These 3D assets are used in: 🎮 Video Games 🛍️ E-Commerce Stores 🎬 Pixar Movies. But the REAL trick isn't the first generation. It’s what happens AFTER. 👇 https://t.co/B4gK45Qwy6
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 184 interactions against 223K followers, an engagement rate of 0.082%. Measured over 28 original posts, its engagement rate beats 56% of 20,444 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 100K times each, and 0.184% of those impressions turn into an interaction. That is about 44.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.3 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 28 posts sampled, 96% carry an image or video, 29% are part of a thread and 18% link out. The account's strongest tracked post pulled 1.2K interactions, about 6.7x its own typical post. Recurring topics include #3d, #capcutpc, #gpt6astra.
- What is SARAH's engagement rate on X?
- SARAH (@SarahAnnabels) has an engagement rate of 0.082%, based on the median interactions across 28 original posts from the last 30 days against 223,141 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.082%, SARAH sits above the 25th percentile of the 204,798 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 @SarahAnnabels have real engagement?
- Its engagement rate beats 56% of the tracked X accounts closest to it in follower count (20,444 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 @SarahAnnabels post?
- Most posts go out around 16:00 UTC, and Tuesday is its busiest day, at roughly 3.3 posts per day across the measured window.