Lacoste AI | Tools engagement report
@Lacoste0x_ - 418K followers on X
Measured over 8 original posts from a 30-day window, last computed on September 26, 2026.
Engagement
A typical post picks up 258 interactions against 418K followers, an engagement rate of 0.061%. Measured over 8 original posts, its engagement rate beats 63% of 20,182 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 110K times each, and 0.235% of those impressions turn into an interaction. That is about 26.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 5.4 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 00:00 UTC, and Thursday is the busiest day of the week. Of the 8 posts sampled, 88% carry an image or video and 50% link out. The account's strongest tracked post pulled 4.4K interactions, about 17x its own typical post. Recurring topics include #pixverseworldmodel, #ai, #aimusicvideo.
Measured over 8 original posts from a 30-day window, last computed on September 26, 2026. Recurring tags: #pixverseworldmodel, #ai, #aimusicvideo.
Compared with accounts its own size
Lacoste AI | Tools's engagement rate beats 63% of the tracked X accounts closest to it in follower count (20,182 accounts, accounts of similar size (decile 10 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 17% 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 0.061%, Lacoste AI | Tools sits above the 25th percentile of the 204,313 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 | 0.677% |
| 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 00:00 UTC, and Thursday 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 | 88% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 50% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 88% 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.
- 50% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 380 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
- Aug 27, 202617x their median
Our computer-use agent @sai_borg just beat Opus 5 and GPT-5.6 Sol on OSWorld 2.0. Sai scored 73% on the CUA benchmark where each complex task takes a skilled human over an hour to execute. And Sai did it at about 2/3 the cost per task of Opus and GPT 💸 The unlock is our neurosymbolic framework that pairs the exploratory power of neural networks with the logic of symbolic code, resulting in reliability and cost saving. Read the full report: https://t.co/cQjxXxUavp
- Sep 22, 20262.9x their median
PixVerse R2 asks a fundamental question: can real-time world models scale? Real-time favors smaller, faster models. Generality favors larger models with broader understanding. R2 takes this tradeoff head-on by decoupling capability from efficiency across two core engines. #PixVerseR2 #PixVerseWorldModel #GenerativeAI
- Sep 9, 20261.9x their median
GPT-6 Astra @OpenAI is here. Everyone's asking how smart it is. We asked a different question: can it discover the unknown? We ran it through TRACES — our benchmark for scientific discovery capability. Six process dimensions, not one score. Result: it tops our leaderboard. Real generational jump — Evidence and Coherence both up ~20-25% over GPT-5.6 Sol and GPT-5.5. Highest Coherence we've ever recorded. But the six dimensions don't move together, and that's exactly why one "how smart" number isn't enough. Some capabilities leap forward, others hold steady, in the same model. That unevenness is what a process score is built to catch. Full breakdown, live: https://t.co/n0d5z2oTpV #GPT6 #TRACES #AIforScience #LLM #AIBenchmark #Apodex #AGI #AIResearch #ScientificDiscovery #FoundationModels
- Aug 31, 2026
We invite you to read the full TRACES technical report Inside: the definitions, evaluation rubric, and registry of problems spanning biomedicine, clinical translation, and frontier-model engineering. Led by Apodex Lead Scientist @profshengwang, the report brings together the technical framework underpinning this effort. Behind it: 10 STEM PhDs, two months of research, and 561 industries surveyed to identify 423 problems worth solving—real, high-stakes questions that can take human experts years to work through. Bring a problem. Bring a solver. Both doors are open. *Submit a Problem: https://t.co/ycJyKmlMYl *Submit a Solver: https://t.co/sanydxSc5C
- Sep 8, 2026
Creators from around the world came together at CapCut World Singapore to share ideas, workflows, and new ways to create. Next stop: Los Angeles, October 2026 — with AI, creativity, video creation, and the creator community at the center. #CapCutWorld #CapCutDidThat https://t.co/ytP7SgSYoH
- Aug 30, 2026
Most AI benchmarks measure whether a model can find the right answer. CommerceAgentBench asks a more useful question for businesses: Can the agent actually finish the job? https://t.co/2SOYzy5QH2
- Sep 3, 2026
The Story Behind TwinDEX https://t.co/eKGOHzijTb
- Sep 3, 2026
Seventeen tabs to make one video Magnific Desktop puts the whole thing in one window → Tabs that remember where you left off → Native shortcuts and folder sync → Local processing Everything you can only do in Desktop 🧵 https://t.co/k8yGAa7scY
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 258 interactions against 418K followers, an engagement rate of 0.061%. Measured over 8 original posts, its engagement rate beats 63% of 20,182 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 110K times each, and 0.235% of those impressions turn into an interaction. That is about 26.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 5.4 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 00:00 UTC, and Thursday is the busiest day of the week. Of the 8 posts sampled, 88% carry an image or video and 50% link out. The account's strongest tracked post pulled 4.4K interactions, about 17x its own typical post. Recurring topics include #pixverseworldmodel, #ai, #aimusicvideo.
- What is Lacoste AI | Tools's engagement rate on X?
- Lacoste AI | Tools (@Lacoste0x_) has an engagement rate of 0.061%, based on the median interactions across 8 original posts from the last 30 days against 417,601 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.061%, Lacoste AI | Tools sits above the 25th percentile of the 204,313 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 @Lacoste0x_ have real engagement?
- Its engagement rate beats 63% of the tracked X accounts closest to it in follower count (20,182 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 @Lacoste0x_ post?
- Most posts go out around 00:00 UTC, and Thursday is its busiest day, at roughly 5.4 posts per day across the measured window.