Nicolas Krassas engagement report
@Dinosn - 165K followers on X
Measured over 24 original posts from a 30-day window, last computed on October 25, 2026.
Engagement
A typical post picks up 28 interactions against 165K followers, an engagement rate of 0.017%. Measured over 24 original posts, its engagement rate beats 30% of 21,185 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 4.4K times each, and 0.649% of those impressions turn into an interaction. That is about 2.66% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 13:00 UTC, and Sunday is the busiest day of the week. Of the 24 posts sampled, 96% link out. The account's strongest tracked post pulled 6.5K interactions, about 231x its own typical post.
Measured over 24 original posts from a 30-day window, last computed on October 25, 2026.
Compared with accounts its own size
Nicolas Krassas's engagement rate beats 30% of the tracked X accounts closest to it in follower count (21,185 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 32% 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 0.017%, Nicolas Krassas sits above the 10th percentile of the 212,349 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.696% |
| 90th percentile | 2.61% |
| 99th percentile | 83.1% |
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 13:00 UTC, and Sunday 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 | 4% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 96% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 4% 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.
- 96% 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 187 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
- Oct 23, 2026231x their median
Kimi K3.1 Pro launches at 4th on the Artificial Analysis Intelligence Index scoring 55, making large gains in agentic performance; it will be the leading open-weights model once its weights are published @Kimi_Moonshot's new reasoning model gains 11 points over Kimi K3 (max, 44). It trails only Claude Opus 5.5 (max with fallback, 58), Claude Sonnet 5.5 (max with fallback, 56), and Muse Wonder Full (max, 56) on the Intelligence Index. Once the weights for K3.1 Pro are released it will be the highest-scoring open weights model and the gap between the leading open weights and proprietary models on the Intelligence Index will narrow from 12 points to 3. Key results: ➤ Large gains in agentic performance: Kimi K3.1 Pro scores 3rd on GDPval-AA with 1,846 Elo, up 312 Elo from Kimi K3, behind only Claude Opus 5.5 (1,866 Elo) and Muse Wonder Full (1,857 Elo). Kimi K3.1 Pro also achieves the highest score of any model on Terminal-Bench 4.0. K3.1 Pro scores 67%, up from 13% for Kimi K3 and ahead of Claude Sonnet 5.5 (64%). AutomationBench-AA, which tests agentic SaaS workflows, rises from 58% to 73%. ➤ Gains in other evals are more moderate: Humanity's Last Exam rises from 47% to 52%, CritPt from 23% to 25%, and SciCode from 59% to 61%. AA-Omniscience Index rises from 20 to 30, as the hallucination rate falls from 53% to 44% and accuracy rises from 48% to 51%. ➤ Cost per Task roughly equal to Kimi K3 at $1.98 per Task: K3.1 Pro uses 55K output tokens per Intelligence Index task, 14% more than Kimi K3 at 48K, while its first-party token prices are 33% lower. Additional model details: ➤ Context window: 1M tokens. ➤ Size: 2.8T total, 104B active parameters ➤ Input modalities: Text and image ➤ Weights and license: Weights currently not published, Moonshot is expected to release the weights soon after launch ➤ Pricing: $2/$10/$0.20 per 1M input/output/cache hit tokens, 33% lower than Kimi K3 on all three rates. Congratulations to the team at @Kimi_Moonshot on the release!
- Oct 24, 202654x their median
aicodeking/leanrea: One 8 KB skill that replaces REA (Reverse Engineer Anything): plain CLI tools, no MCP. Benchmarked: 38% faster, 35% cheaper. https://t.co/nE9S5Ztyep
- Oct 25, 202618x their median
Tailworm. We have zero-trust in our infrastructure. (Tailscale audit) https://t.co/UjFCRF9SDX
- Oct 24, 20266.8x their median
chryzsh/redteam-bofs: Repository for various Beacon Object Files (BOFs) https://t.co/GoZxs2zcYD
- Oct 25, 20266.6x their median
High fidelity detection mechanism for node2shell (CVE-2026-111497) https://t.co/AEuqgYc6XU
- Oct 25, 20264.8x their median
Proof of concept exploit for CVE-2026-106173, a path traversal file write leading to RCE for Fortinet FortiSIEM https://t.co/MLYhiI89Ap
- Oct 25, 20264.4x their median
punkpeye/awesome-remote-mcp-servers: A collection of remote MCP servers. https://t.co/YO8HFAvV4a
- Oct 25, 20263.5x their median
Publication-ready security research: unpatched vulnerabilities in PHP, NativePHP Mobile, and Windows PHP builds. Turnkey repro scripts, raw receipts, weaponized exploit chains. https://t.co/h4pdEHFoWK
- Oct 25, 20262.4x their median
Offline FairPlay App Store IPA decryption with independent key derivation https://t.co/kmcsuBQXhV
- Sep 21, 20262.3x their median
MSRKit - Tool for calling kernel functions and mapping unsigned drivers from user mode using BYOVD (AmdTools64.sys) https://t.co/VPVxxO1bYd
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 28 interactions against 165K followers, an engagement rate of 0.017%. Measured over 24 original posts, its engagement rate beats 30% of 21,185 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 4.4K times each, and 0.649% of those impressions turn into an interaction. That is about 2.66% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 13:00 UTC, and Sunday is the busiest day of the week. Of the 24 posts sampled, 96% link out. The account's strongest tracked post pulled 6.5K interactions, about 231x its own typical post.
- What is Nicolas Krassas's engagement rate on X?
- Nicolas Krassas (@Dinosn) has an engagement rate of 0.017%, based on the median interactions across 24 original posts from the last 30 days against 165,202 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.017%, Nicolas Krassas sits above the 10th percentile of the 212,349 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 @Dinosn have real engagement?
- Its engagement rate beats 30% of the tracked X accounts closest to it in follower count (21,185 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 @Dinosn post?
- Most posts go out around 13:00 UTC, and Sunday is its busiest day, at roughly 1.4 posts per day across the measured window.