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DIN⏳ engagement report

@din_lol_ - 288K followers on X

Measured over 2 original posts from a 30-day window, last computed on September 6, 2026.

Engagement

Per follower
0.003%
of 288K followers
Per impression
0.16%
4.7K views on a typical post
Reach
1.62%
of its followers see a post
Typical post
8
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.1/day
active 10% of days
Peak time
02:00 UTC
Tuesday

Early reading. We have captured 2 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 8 interactions against 288K followers, an engagement rate of 0.003%. Posts are seen about 4.7K times each, and 0.16% of those impressions turn into an interaction. That is about 1.63% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 02:00 UTC, and Tuesday is the busiest day of the week. Of the 2 posts sampled, 50% carry an image or video. The account's strongest tracked post pulled 38K interactions, about 4774x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 2 original posts from a 30-day window, last computed on September 6, 2026.

Where this sits in the catalog

At 0.003%, DIN⏳ sits above the 10th percentile of the 65,980 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.016%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99120.0%
Engagement rate as a share of followers, across the 65,980 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,142 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile120.0%

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 02:00 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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 02:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 02:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
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 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video50% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 50% 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.
  • 0% 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 42 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 8% below 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

  • Mar 14, 20264774x their median

    'Arc Raiders' has started replacing AI voices with human ones 🎮 The CEO admits they are 'better' "There is a quality difference. A real professional actor is better than AI; that’s just how it is" (via @GIBiz) https://t.co/S8AK3Xx6wf

    35K2.0K4588683.1M viewsView on X
  • Feb 20, 20264130x their median

    Phil Spencer is retiring as the CEO of Microsoft Gaming effective immediately. Asha Sharma from Microsoft will take over as CEO. Sarah Bond will depart Xbox. https://t.co/xP1mppaOJx

    26K1.6K3.2K2.4K9.7M viewsView on X
  • Feb 23, 20263863x their median

    Made with Grok Imagine https://t.co/GDJBmfoEeq

    24K4.0K1.8K96051M viewsView on X
  • Feb 7, 20261442x their median

    ClawPhone is alive. I installed OpenClaw on a $25 phone and gave it full access to the hardware. I haven’t explored everything yet, but it’s a cool formfactor for agents to run on. https://t.co/lp1l1z52nJ

    9.6K1.2K536221815K viewsView on X
  • Jun 2, 2026697x their median

    We’re making Codex more useful for your work by expanding plugins beyond individual tools. These plugins turn Codex into a specialist for a specific role with a single install, no coding required. Codex can access 62 popular apps and 110 skills for work across sales, data analytics, creative production, product design, and public equity investing. https://t.co/nunrYP2uMI

    4.7K441279158656K viewsView on X
  • Feb 27, 2026548x their median

    don't waste time with crypto

    2.7K2571.1K326983K viewsView on X
  • Apr 6, 2026523x their median

    https://t.co/VoQByJUrBU

    3.4K57888982.6M viewsView on X
  • Mar 9, 2026395x their median

    Anthropic researchers: “Even if AI progress completely stalls today and we don’t reach AGI, the current systems are already capable of automating all white-collar jobs within the next 5 five years” yeah, we’re cooked. https://t.co/d0eXMFeLJX

    2.7K14525850278K viewsView on X
  • Feb 26, 2026361x their median

    The biggest question for crypto: will AI use it? Say an instance of ChatGPT, or Claude, wants more compute. Does it pay by wire transfer, credit card, or crypto? On the one hand, trad finance doesn't work well for AIs. Like—how do they KYC? They have no passport, address, social security number, or even name. Crypto works much better—it's already digital, it's permissionless, AIs can already query the blockchain, etc. On the other hand, we might see an 'agent' model: each AI is treated as an agent of some specific human, and that human does the KYC, is responsible for what the AI does, etc. (Which brings up a related question: who is legally responsible for what an AI does?) Either way, some work needs to be done to plug the world of AI into the world of trading and payments. Either that work will be natively digital and crypto-based, or it'll be reliant on a human 'master' for the AI. Which direction it goes in has huge implications for the world. One of those is the future of crypto.

    1.7K234761188559K viewsView on X
  • Jan 14, 2026320x their median

    POV of intern: heard people are actually building on Opinion now? 🔗full Opinion builder list: https://t.co/vA5utfDcfl https://t.co/bWARRYwqsY

    9396769222538K viewsView on X

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 8 interactions against 288K followers, an engagement rate of 0.003%. Posts are seen about 4.7K times each, and 0.16% of those impressions turn into an interaction. That is about 1.63% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 02:00 UTC, and Tuesday is the busiest day of the week. Of the 2 posts sampled, 50% carry an image or video. The account's strongest tracked post pulled 38K interactions, about 4774x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is DIN⏳'s engagement rate on X?
DIN⏳ (@din_lol_) has an engagement rate of 0.003%, based on the median interactions across 2 original posts from the last 30 days against 287,952 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, DIN⏳ sits above the 10th percentile of the 65,980 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 @din_lol_ have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @din_lol_ post?
Most posts go out around 02:00 UTC, and Tuesday is its busiest day, at roughly 0.1 posts per day across the measured window.

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