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Dylan Rossi engagement report

@Dylan_HODL - 343K followers on X

Measured over 9 original posts from a 30-day window, last computed on October 8, 2026.

Engagement

Per follower
0.085%
of 343K followers
Per impression
0.735%
40K views on a typical post
Reach
11.6%
of its followers see a post
Typical post
292
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.6/day
active 40% of days
Peak time
12:00 UTC
Thursday

A typical post picks up 292 interactions against 343K followers, an engagement rate of 0.085%. Posts are seen about 40K times each, and 0.735% of those impressions turn into an interaction. That is about 11.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.6 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 12:00 UTC, and Thursday is the busiest day of the week. Of the 9 posts sampled, 89% carry an image or video and 33% link out. The account's strongest tracked post pulled 1.2K interactions, about 4.2x its own typical post.

Measured over 9 original posts from a 30-day window, last computed on October 8, 2026.

Where this sits in the catalog

At 0.085%, Dylan Rossi 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%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 156,839 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,058 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 percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

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 12:00 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.

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: 12:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 12:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video89% of posts+111%+108% to +115%34K
Outbound link33% 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.
  • 33% 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 201 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

  • Feb 7, 20264.2x their median

    $SATu Wallet Coming Soon On Appstore & Playstore https://t.co/eJmBRnvi4p

    38332148919103K viewsView on X
  • Aug 7, 20262.4x their median

    🚀 Community Round is STILL LIVE! Still time to grab @LegendAwakes before it hits the market — don’t miss out! 🟢 Open to everyone (no $KOM needed) 💵 Price: $0.0001 🔹 Min: $1 / 10,000.00 $ALBRH 🔹 Max: $20,000 / 200,000,000.00 $ALBRH This is your final chance to stock up on $ALBRH before listing! 👉 https://t.co/KS7yCTTLYY

    36223132183222K viewsView on X
  • Oct 1, 2026

    https://t.co/jyGDJkaYKg

    364310148K viewsView on X
  • Sep 18, 2026

    wait… a PET LAUNCHPAD on Roblox? 👀 @nippin_by_grok lets you build, upgrade, trade and launch your own pets inside Roblox. and the interesting part? The game revenue goes back into the $NIPPIN ecosystem. Roblox + pets + trading + a token economy… this could get very interesting 🐾

    3061328040K viewsView on X
  • Aug 28, 2026

    Complex tasks often become easier when the work is divided. Research, monitoring, analysis and execution can require different capabilities. That’s where @FastXNetwork’s multi-agent model provides an interesting case for Web3. See what sits behind the idea: https://t.co/ZuwPPSMoVm

    2684423024K viewsView on X
  • Sep 22, 2026

    AI workloads can involve sensitive information, so simply adding more compute isn’t enough. The computing layer also needs to account for how data is isolated, protected and accessed. Hardware-level isolation and encryption feature in the infrastructure approach used by @FastXNetwork. Secure compute shouldn’t be something added after everything else. It belongs in the design from the start.

    280927022K viewsView on X
  • Sep 7, 2026

    give me a coin under $1M MC I’m reading every reply

    2611330117K viewsView on X
  • Oct 1, 2026

    Let's go! This is a very spicy Space $PBUG https://t.co/M9JaVxzm2U

    2631424072K viewsView on X
  • Aug 20, 2026

    if you could create a prediction market about ANYTHING right now... what are you launching first? 👀 @dappOS_com might have just opened a pretty interesting door. https://t.co/55p7VT711W

    2264226047K viewsView on X
  • Oct 5, 2026

    A FastX node doesn't earn simply because it exists. It needs to be activated and covered by a paid maintenance period. That makes keeping track of maintenance part of mining, not something to think about afterwards. The official console guide covers the process: https://t.co/0jBU3KVXCw

    2501824023K 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 292 interactions against 343K followers, an engagement rate of 0.085%. Posts are seen about 40K times each, and 0.735% of those impressions turn into an interaction. That is about 11.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.6 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 12:00 UTC, and Thursday is the busiest day of the week. Of the 9 posts sampled, 89% carry an image or video and 33% link out. The account's strongest tracked post pulled 1.2K interactions, about 4.2x its own typical post.

What is Dylan Rossi's engagement rate on X?
Dylan Rossi (@Dylan_HODL) has an engagement rate of 0.085%, based on the median interactions across 9 original posts from the last 30 days against 343,237 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.085%, Dylan Rossi 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 @Dylan_HODL have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @Dylan_HODL post?
Most posts go out around 12:00 UTC, and Thursday is its busiest day, at roughly 0.6 posts per day across the measured window.

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