Future Stacked engagement report
@FutureStacked - 293K followers on X
Measured over 25 original posts from a 30-day window, last computed on September 20, 2026.
Engagement
A typical post picks up 232 interactions against 293K followers, an engagement rate of 0.08%. Measured over 25 original posts, its engagement rate beats 57% of 15,519 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 27K times each, and 0.86% of those impressions turn into an interaction. That is about 9.21% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 08:00 UTC, and Wednesday is the busiest day of the week. Of the 25 posts sampled, 96% carry an image or video and 8% link out. The account's strongest tracked post pulled 6.3K interactions, about 26x its own typical post. Recurring topics include #ai3d, #capcutdidthat, #capcutworld.
Measured over 25 original posts from a 30-day window, last computed on September 20, 2026. Recurring tags: #ai3d, #capcutdidthat, #capcutworld.
Compared with accounts its own size
Future Stacked's engagement rate beats 57% of the tracked X accounts closest to it in follower count (15,519 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 41% 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 0.08%, Future Stacked sits above the 25th percentile of the 156,839 accounts in this comparison. That places it in the below the median band, which runs 0.022% to 0.128%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.003% |
| 25th percentile | 0.022% |
| 50th percentile | 0.128% |
| 75th percentile | 0.604% |
| 90th percentile | 2.32% |
| 99th percentile | 83.4% |
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 08:00 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 | 96% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 8% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 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.
- 8% 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 224 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.
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 26, 202626x their median
🚨BREAKING: Apple’s next AirPods will have cameras built into them. Not for photography. The cameras are designed to feed visual information directly to Siri, turning your earbuds into an eyes-on AI assistant that understands what is in front of you. Point them at your fridge and ask what to cook. Walk into a room and ask what you are looking at. Siri sees what you see. A privacy LED will light up whenever visual data is being transmitted, so there is always a visible signal when the cameras are active. Enhanced Siri arrives in September. Production on the camera AirPods is already underway. Source: Mark Gurman, Bloomberg.
- Sep 2, 20267.3x their median
The present and the future. https://t.co/BbtAkebL37
- Aug 18, 20265.9x their median
This is how an ATM works on the inside every time you withdraw cash. https://t.co/DxgCnnyZjl
- Aug 7, 20264.5x their median
A 16-year-old just made a $1,600 bet on the AI boom. He bought 20 sticks of DDR5 RAM and plans to leave them in a drawer for the next 15 years. https://t.co/JUH1WNk8qT
- Sep 3, 20264.4x their median
This is how a washing machine works on the inside every time you do laundry. https://t.co/L2C6qrrwmv
- Sep 14, 20262.3x their median
iOS 27 commercial release today! All the new Siri AI animations comes to life! https://t.co/Dl4aovT7D1
- Sep 4, 20261.7x their median
AI 3D is moving from demos to production. Just wrapped up gamescom 2026 in Cologne, and Tripo Studio was there proving it. From the booth footage, the positioning is clear: this is not just another AI 3D demo, but a production workflow for game assets. The big update: Smart Mesh P2.0 can generate production-ready game assets with native quad topology in seconds. For game builders, this is a very different category from “cool 3D preview.”
- Aug 6, 20261.7x their median
Apple tells you your storage is full so you'll pay for iCloud. It's not full. It's 4 settings you were never told about. Here's how to clear it in 10 minutes:
- Aug 17, 20261.6x their median
AI IS GETTING OUT OF HAND Prompt Main subject: young Korean woman, early 20s, natural everyday appearance, faded charcoal-grey sleeveless crop top, loose high-waisted light-wash jeans, black canvas sneakers, black cord necklace, black wavy hair in a messy side ponytail with wispy bangs. Realistic skin texture, minimal makeup, warm and approachable personality. Maintain consistent identity, clothing, hairstyle, and appearance throughout the entire video. Location: Authentic Korean residential neighborhood during a calm late morning. Narrow concrete alleys, low-rise homes, small terraces, potted plants, laundry lines, bicycles, utility poles, overhead wires, mature trees casting moving shadows, quiet residential atmosphere. No stores, advertisements, cafés, crowds, or commercial activity. Visual Style: Ultra-realistic documentary realism. Genuine candid behavior. Natural body language. Unscripted slice-of-life feeling. Strong environmental authenticity. Rich real-world details and believable human motion. Camera Style: Early-2000s consumer DV camcorder aesthetic. Friend casually recording everyday moments. Heavy handheld shake, imperfect framing, frequent autofocus hunting, lens breathing, exposure pumping when moving between sun and shade, occasional motion blur, subtle rolling shutter, mild digital compression artifacts, faded colors, soft contrast, slight sensor noise. No stabilization. No cinematic camera moves. No modern color grading. 00:00–00:02 Outside a small house entrance. She sits on a low concrete wall adjusting her ponytail with both hands raised. A light breeze moves loose strands of hair. She smiles naturally while the camera struggles to hold focus. 00:02–00:04 The camera follows her into a narrow alley lined with potted plants and concrete walls. She notices a stray cat approaching and crouches down. Framing drifts off-center as the operator tries to keep up. 00:04–00:06 She gently pets and feeds the cat. Autofocus repeatedly shifts between her face and the animal. Morning sunlight flickers through leaves overhead. 00:06–00:08 Small front yard beside her house. She hangs laundry on a clothesline while fabrics sway in the breeze. Exposure changes as clouds briefly pass overhead. 00:08–00:10 On a quiet terrace with a ceramic coffee cup. She sits comfortably watching the neighborhood, occasionally brushing hair behind her ear. Loose handheld side angle with natural camera drift. 00:10–00:12 Close side profile. Someone off-camera greets her. She turns, raises her hand, smiles warmly, and casually says, “Annyeong.” The camera catches the moment slightly late. 00:12–00:15 Walking slowly down a tree-lined residential lane holding her coffee cup. She notices the camera, gives a small genuine smile, then looks away and continues walking. Recording cuts abruptly to black mid-motion as if the camcorder was switched off. Audio: Natural ambient sound only — morning birds, distant motorcycles, light wind, leaves rustling, faint neighborhood chatter, cat sounds, footsteps on concrete, fabric moving on clotheslines, subtle residential ambience. No music. No sound design. No narration. Goal: Authentic Korean neighborhood life captured like a forgotten home video from the early 2000s — candid, imperfect, realistic, warm, and deeply believable.
- Aug 5, 20261.6x their median
We generated this scene with just one trial on @seedance 2.5. We had run this same shot on other models and it took us around 8 attempts before anything came back usable. Generations are billed one at a time so 8 tries to 1 is the entire cost story. 30 seconds, single shot, no stitching, what used to be a day of rerolling is now a single pass, which means the budget goes into testing new concepts instead of rescuing one. Watch the water as the creature moves through it, and watch the camera fall behind during the escape. The realistic physics, smooth camera motion, and shot consistency all came directly from the model.None of that was added in post. We used Seedream 5.0 for the visual ideation and Seedance 2.5 for the video. Both are running on lumina at 4K, up to 50 references to hold a character or product steady across a shot, and region editing to fix one part of a frame without regenerating the whole thing. Seedance 2.5 API is about to launch on @BytePlusGlobal, and now you can try it directly on @lumina_ai_aiart.
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.
Buy or sell Twitter (X) accounts - escrow-protected
PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.
Reading these numbers
A typical post picks up 232 interactions against 293K followers, an engagement rate of 0.08%. Measured over 25 original posts, its engagement rate beats 57% of 15,519 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 27K times each, and 0.86% of those impressions turn into an interaction. That is about 9.21% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 08:00 UTC, and Wednesday is the busiest day of the week. Of the 25 posts sampled, 96% carry an image or video and 8% link out. The account's strongest tracked post pulled 6.3K interactions, about 26x its own typical post. Recurring topics include #ai3d, #capcutdidthat, #capcutworld.
- What is Future Stacked's engagement rate on X?
- Future Stacked (@FutureStacked) has an engagement rate of 0.08%, based on the median interactions across 25 original posts from the last 30 days against 292,838 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.08%, Future Stacked sits above the 25th percentile of the 156,839 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 @FutureStacked have real engagement?
- Its engagement rate beats 57% of the tracked X accounts closest to it in follower count (15,519 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 @FutureStacked post?
- Most posts go out around 08:00 UTC, and Wednesday is its busiest day, at roughly 2.3 posts per day across the measured window.