Cline engagement report
@cline - 82K followers on X
Measured over 27 original posts from a 30-day window, last computed on October 17, 2026.
Engagement
A typical post picks up 389 interactions against 82K followers, an engagement rate of 0.479%. Measured over 27 original posts, its engagement rate beats 76% of 20,183 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 21K times each, and 1.87% of those impressions turn into an interaction. That is about 25.5% 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 almost every day in the window. Most posts go out around 19:00 UTC, and Monday is the busiest day of the week. Of the 27 posts sampled, 89% carry an image or video, 63% are part of a thread and 7% link out. The account's strongest tracked post pulled 5.6K interactions, about 14x its own typical post.
Measured over 27 original posts from a 30-day window, last computed on October 17, 2026.
Compared with accounts its own size
Cline's engagement rate beats 76% of the tracked X accounts closest to it in follower count (20,183 accounts, accounts of similar size (decile 6 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 58% 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 0.479%, Cline sits above the 50th percentile of the 202,076 accounts in this comparison. That places it in the above the median band, which runs 0.142% to 0.672%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.142% |
| 75th percentile | 0.672% |
| 90th percentile | 2.54% |
| 99th percentile | 82.5% |
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 Monday 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 | 89% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 7% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 89% 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.
- 7% 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 258 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
- Aug 12, 202614x their median
DeepSeek silently released V4-Pro 0813, up 15.8% on Terminal Bench from their April Preview model, with Fable 5 performance at ~57x cheaper cost. 1.6T param, 49B active, 1M context. This is the best price-to-perfomance model on the market right now. Available in ClinePass now! https://t.co/D9yas0umPn
- Aug 14, 202612x their median
GLM-5.3 has released, beating Fable & the new DeepSeek V4-Pro 0813 from just yesterday on Terminal-Bench. It used GLM-5.2 as the base model with gains from more compute spent than ever before on post-training on diverse long-horizon tasks. Open weights have hit escape velocity. https://t.co/Q05VXhGswr
- Sep 16, 20267.6x their median
Union Alpha (stealth model) is now free in Cline. 256k context, multimodal, built for agentic coding. It is near GPT-6 Astra and Opus 5 performance for ~18x lower expected cost. https://t.co/WUuFWJwPI9
- Sep 20, 20266.7x their median
Introducing Step 5 Preview: Advancing the Pareto Frontier. Step 5 Preview is our new flagship model for agentic work, delivering frontier-level performance across software engineering and professional knowledge work, with particular strength in finance. - 600B total / 27B active MoE, with 1M context + Vision - Substantially lower task cost at comparable intelligence - Broad software engineering capabilities with sustained execution over long horizons Try Step 5 Preview: https://t.co/fC7HHlWKFn Model page: https://t.co/4caJR2YGD3 Open weights on Oct 15.
- Aug 21, 20266.7x their median
Ox Alpha (stealth model) is now free in Cline. Early benchmarks shows marginal improvement over Fable and GPT. Try it with: npm i -g cline and use /models to see it under Free options https://t.co/Hskt5RpUen
- Sep 26, 20266.3x their median
Pixel Canary (stealth model) has just released and is free in Cline. It's tied with GPT-6 Astra and beats Kimi K3 on Next.js Agent Evals, a benchmark for real Next.js tasks for web and mobile development. https://t.co/Sdwk8DzItG
- Aug 29, 20265.1x their median
Terminal-Bench 4.0 just dropped. Benchmark iteration is catching up with model development. https://t.co/KfeQvi7Hrr
- Oct 6, 20264.9x their median
Mistral Large 4 beats Opus 5.5 and GPT-6 Astra on cybersecurity benchmarks, largely because it refuses far fewer security tasks. Meanwhile Opus and Astra had ~40% of tasks blocked by their own safety filters. https://t.co/gNHAZBV5Ms
- Sep 10, 20264.0x their median
DeepSeek V4.1-Flash beats V4-Pro 0813 less than a month after its release. And it's $0.30/$1.20 per 1M input/output. That's roughly: - 1/20th cost of Opus 5 - 1/17th cost of GPT-5.6 Sol - 1/12th cost of Kimi K3 ...while beating all three on Terminal-Bench. https://t.co/Y6kkSY48Cw
- Oct 4, 20263.9x their median
Due to abnormally high abuse, we are pausing the free DeepSeek-V4.1-Flash promotion. We are actively investigating and trying to mitigate the situation.
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 389 interactions against 82K followers, an engagement rate of 0.479%. Measured over 27 original posts, its engagement rate beats 76% of 20,183 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 21K times each, and 1.87% of those impressions turn into an interaction. That is about 25.5% 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 almost every day in the window. Most posts go out around 19:00 UTC, and Monday is the busiest day of the week. Of the 27 posts sampled, 89% carry an image or video, 63% are part of a thread and 7% link out. The account's strongest tracked post pulled 5.6K interactions, about 14x its own typical post.
- What is Cline's engagement rate on X?
- Cline (@cline) has an engagement rate of 0.479%, based on the median interactions across 27 original posts from the last 30 days against 81,619 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.479%, Cline sits above the 50th percentile of the 202,076 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 @cline have real engagement?
- Its engagement rate beats 76% of the tracked X accounts closest to it in follower count (20,183 accounts), which puts it in the top quarter for its size 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 @cline post?
- Most posts go out around 19:00 UTC, and Monday is its busiest day, at roughly 2.17 posts per day across the measured window.