Nawi engagement report
@Aria_Nawi - 147K followers on X
Measured over 15 original posts from a 30-day window, last computed on September 26, 2026.
Engagement
A typical post picks up 412 interactions against 147K followers, an engagement rate of 0.28%. Measured over 15 original posts, its engagement rate beats 72% 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 124K times each, and 0.333% of those impressions turn into an interaction. That is about 84.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 15 posts sampled, 100% carry an image or video, 20% are part of a thread and 27% link out. The account's strongest tracked post pulled 835 interactions, about 2.0x its own typical post. Recurring topics include #aivideo, #capcutpc, #gptimage25.
Measured over 15 original posts from a 30-day window, last computed on September 26, 2026. Recurring tags: #aivideo, #capcutpc, #gptimage25.
Compared with accounts its own size
Nawi's engagement rate beats 72% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 8 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 18% 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 0.28%, Nawi sits above the 50th percentile of the 205,152 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.
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 15:00 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 | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 27% 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.
- 27% 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 573 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 12, 20262.0x their median
I’ve been thinking about the AI filmmaking workflow backwards. Instead of asking AI to generate a finished video from one prompt, start by building the story first. GPT Image 2.5 is coming to CapCut PC, where it will be available through Design Studio and AI Image. #GPTImage25 #CapCutPC
- Sep 17, 20261.7x their median
I didn't expect an AI agent to feel like it was actually there. Then it said: "I literally just came online and I don't know who I am yet. No name, no identity. Clean slate." That's not a scripted demo line. That's the first thing it said to me. https://t.co/duShctzl2Q
- Sep 15, 2026
4 campaign briefs a month used to eat 4 weeks of team time. The same team now ships them in an afternoon. We run influencer marketing and content partnerships across multiple creator accounts. Every new campaign starts with a brief. Target audience, content pillars, deliverables, timeline, success metrics, usage rights, FTC disclosures. We tried templates. We tried shared Google Docs. We tried scheduling a dedicated brief day every Monday. None of it stuck because the brief still needed someone to think through it from scratch every single time. So we gave that job to Viktor. One prompt. He came back with a 6-page designed PDF in 3 minutes. Real sections, opinionated creative direction, a pivot rule built in, usage rights included. We did not ask for most of that. He just knew what a brief needs. Viktor proposes the document. We review and approve before it goes to any client. 4 briefs a month. Each one used to cost us a week of team time. Now none of them do. The teams still doing this manually are not disciplined. They just have not hired yet. A copilot helps you work. An AI employee works when you don't. Hire @viktor_com for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #CreatorEconomy Paid Partnership
- Sep 22, 2026
Finally sat down with Qoder instead of just reading about it. Not an IDE, not a chatbot....you describe an outcome, it plans, executes, and verifies. Watch, adjust, or take over anytime. Here's what happened when I gave it a real task 🧵 https://t.co/AF5yIdyaPk https://t.co/qv3OI9Ppec
- Sep 11, 2026
$133,752 in new annual recurring revenue. 30 days. Zero new hires. That is the Authority Makers result. Here is what it looked like on our end. We run content and brand campaigns for multiple clients simultaneously. Outbound was always the thing that fell through the cracks. Not because we did not have the strategy. Because nobody had time to execute it every single day. We gave that job to Viktor. Week 1 we were not sure it would stick. The sequences felt generic and we almost went back to doing it manually. Then the replies started coming in. Viktor adjusted, followed up, and kept going whether we were online or not. By week 3 two new client conversations had opened from outbound that had been sitting untouched for months. One AI employee running the work nobody had time for. That is not a tool. That is a hire. Most execution gaps do not need a strategy. They need someone to show up every day. Hire @viktor_com for your team. $100 in credits included, no card. Full link in first reply. Paid Partnership
- Sep 9, 2026
I priced my sponsorship tiers by arguing with Claude about it....then it turned that same conversation into the media kit I'm sending to brands. No copy-pasting into another tool. No rebuilding from scratch. Here's exactly how 🧵 @GammaApp https://t.co/2zBSVJfS56
- Sep 24, 2026
Every "AI world model" demo I've seen is the same: watch a video, take their word for it. PixVerse R2 said forget that.... just fly the dragon yourself. So I did. WASD to move, mouse to look, and mid-flight I typed "Breathe Fire"... the whole world reacted right there, live, no render, no waiting. Most models show you a demo. R2 lets you get in and judge it yourself. Go try it firsthand → https://t.co/ksFv7gCOl1 @PixVerse #PixVerseWorldModel
- Sep 15, 2026
What if product marketing became an iterative loop instead of a production bottleneck? GPT Image 2.5 is coming to CapCut through Design Studio and AI Image. I used two generated product visuals to start the process. #GPTImage25 #CapCutPC https://t.co/C8NMuYQXWP
- Sep 11, 2026
Police chase. Explosion. A cinematic 3D world built with GPT-6 Astra. Made by @PixVerse. Available on PixVerse and in ChatGPT via the PixVerse Plugin. Prompt ↓ Create an original GTA-inspired cartoon car chase using this workflow: Design: Define one main driver, one getaway car, one pursuing car, and one urban environment. Keep their designs consistent. Plan three 4-second shots: rear tracking pursuit, side tracking through a sharp turn, and a wide exit shot. Build in Blender: Create clean gray models and functional character and vehicle rigs. No textures or UV unwrapping are required. Animate and test: Animate the driver, steering, wheel rotation, vehicles, and cameras. Maintain coherent travel direction and vehicle order. Fix clipping, floating wheels, sliding tires, broken poses, and hands losing contact with the steering wheel. Render in Blender: Render frames 1–288 at 1280×720, 24 fps. Assemble actual Blender-rendered frames into a complete 12-second gray-model master. Export each shot separately and render matching gray stills as shape and composition references. Finish with PixVerse Plugin: Use Seedance 2.5 at 720p, processing each shot separately. Use the Blender clips as motion references and the gray stills as shape references. Define a consistent cartoon color palette in the generation prompt. Preserve camera movement, action timing, character and vehicle designs, and vehicle count. Review and deliver: Inspect both complete videos for visual defects and continuity. Repair Blender issues and regenerate only failed Seedance shots, with at most two retries per shot. Deliver the editable .blend, the native 720p Blender gray-model video, the separately labeled 720p Seedance version, and a brief assessment of remaining limitations.
- Sep 7, 2026
We’ve spent a lot of time asking whether AI can generate better video. I think a harder question is coming: Can AI video handle the entire shot from planning to post? That’s why GPT-6 Astra caught my attention. #GPT6Astra #AIVideo https://t.co/IDdcqU7ZFr
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 412 interactions against 147K followers, an engagement rate of 0.28%. Measured over 15 original posts, its engagement rate beats 72% 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 124K times each, and 0.333% of those impressions turn into an interaction. That is about 84.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 15 posts sampled, 100% carry an image or video, 20% are part of a thread and 27% link out. The account's strongest tracked post pulled 835 interactions, about 2.0x its own typical post. Recurring topics include #aivideo, #capcutpc, #gptimage25.
- What is Nawi's engagement rate on X?
- Nawi (@Aria_Nawi) has an engagement rate of 0.28%, based on the median interactions across 15 original posts from the last 30 days against 146,939 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.28%, Nawi sits above the 50th percentile of the 205,152 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 @Aria_Nawi have real engagement?
- Its engagement rate beats 72% 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 @Aria_Nawi post?
- Most posts go out around 15:00 UTC, and Tuesday is its busiest day, at roughly 2.17 posts per day across the measured window.