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Verona engagement report

@verona_dev - 615K followers on X

Measured over 18 original posts from a 30-day window, last computed on October 6, 2026.

Engagement

Middle of its size range
Per follower
0.017%
of 615K followers
Per impression
0.698%
15K views on a typical post
Reach
2.38%
of its followers see a post
Typical post
104
interactions (median)
Saved
0.02%
3 bookmarks on a typical post
Posting rate
1.7/day
active 63% of days
Peak time
14:00 UTC
Wednesday

A typical post picks up 104 interactions against 615K followers, an engagement rate of 0.017%. Measured over 18 original posts, its engagement rate beats 41% 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 15K times each, and 0.698% of those impressions turn into an interaction. That is about 2.42% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 18 posts sampled, 94% carry an image or video, 11% are part of a thread and 11% link out. The account's strongest tracked post pulled 1.0K interactions, about 4.6x its own typical post.

Measured over 18 original posts from a 30-day window, last computed on October 6, 2026. Recurring tag: #gwdc.

Compared with accounts its own size

Verona's engagement rate beats 41% of the tracked X accounts closest to it in follower count (21,185 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 38% 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%, Verona sits above the 10th percentile of the 212,567 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.696%
p902.61%
p9982.7%
Engagement rate as a share of followers, across the 212,567 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,364 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 percentile0.004%
25th percentile0.025%
50th percentile0.146%
75th percentile0.696%
90th percentile2.61%
99th percentile82.7%

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 14:00 UTC, and Wednesday 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video94% of posts+111%+108% to +115%34K
Outbound link11% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 94% 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.
  • 11% 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 320 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

  • Jun 17, 20264.6x their median

    Today, XION becomes Verona, the intelligence layer for AI. This comes alongside our flagship's launch of 'ero' and its $18.5M fundraise. For five years, we've been building an internet people can believe in. Now, we're doing the same for AI. https://t.co/pbekJmnefy

    54819119786174K viewsView on X
  • Sep 21, 20266.8x their median

    ๐Ÿ‘๏ธโ€๐Ÿ—จ๏ธ Trade $VERONA Perp on Aster: $30,000 in $ASTER + Bonus $VERONA Rewards Await VERONA ( $VERONA ) perpetuals are now listed on Aster. To mark the listing, Aster is launching a new Trade Arena campaign. ๐Ÿ“‹ Campaign Details - Eligible pair: VERONAUSDT (Perp) - Perp listing: 2026-09-21 12:00 UTC - Campaign period: 2026-09-21 12:00 UTC to 2026-09-26 14:00 UTC - Prize pool: $30,000 in $ASTER + Bonus in $VERONA ๐ŸŽฏ How Rewards Work - Your reward is your share of total trading volume generated by all eligible participants - Individual Reward = Total Pool ร— (Your Trading Volume รท Total Trading Volume of All Eligible Participants) - Minimum distribution: โ‰ฅ1 $VERONA and โ‰ฅ1 $ASTER - Per-participant cap: 3% of the total prize pool โœ… Eligibility - Open to all new and existing Aster users, market makers excluded - Only trades on VERONAUSDT via Aster Perpetuals during the campaign period count, including trades via Binance Wallet, Trust Wallet, SafePal, and other supported channels - Wash trading, self-trading, wallet-splitting, and other abusive behaviors will result in disqualification ๐Ÿ” What is Verona? Verona ( @verona_dev ) is building a decentralized truth engine that turns arbitrary internet data into provable facts and stores them on-chain for reuse, allowing verified facts to be used across applications without exposing the underlying data. Its technology is already used by brands including Uber, Amazon, and Nike, as well as millions of users. Full rules ๐Ÿ‘‡ https://t.co/QnWwUt9srh

    52545129745K viewsView on X
  • Aug 27, 20264.1x their median

    What bear market? https://t.co/qvTLN8N0Tk

    185751481662K viewsView on X
  • Jul 17, 20263.5x their median

    Raven Run is live, and there is $500 on the line. Not split across ten winners. One prize, one player, whoever sits on top of the leaderboard when it ends. Second place gets a tap on the back. https://t.co/e9kffXVgO7

    18070902341K viewsView on X
  • Jun 25, 20261.6x their median

    https://t.co/8Q1lD0GDme

    16961813256K viewsView on X
  • Jul 21, 20263.2x their median

    The $475,000,000,000 resale economy still runs on spreadsheets. WRTH replaces them. Snap a photo, and it identifies the item, prices it, and lists it everywhere. Provenance verified at the source. $100M+ inventory managed, built on Verona, which shares in what it earns. https://t.co/3KNORy3xTH

    14973862640K viewsView on X
  • Aug 4, 20263.1x their median

    Markets run 24 hours across 13,000+ assets. Your attention runs about 40 minutes. TradeOS turns your strategy into AI agents that watch everything, all the time, written in plain English. Built on Verona, which shares in what it earns. https://t.co/MfwbTSn4qe

    14176793041K viewsView on X
  • Jul 28, 20263.0x their median

    You're not early. You're just alone. Smoothly is live. https://t.co/BiprOnJsHM https://t.co/PILKMjWouC

    14666851928K viewsView on X
  • Aug 25, 20263.0x their median

    Back from APAC. Here's @burntbanksy on what actually happened during the tour and what it means for where Verona goes next. https://t.co/mRm3xp6X1h

    107711221417K viewsView on X
  • Jul 6, 2026

    https://t.co/IJHNhridJe

    15068702627K 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.

Recurring topics

#gwdc

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 104 interactions against 615K followers, an engagement rate of 0.017%. Measured over 18 original posts, its engagement rate beats 41% 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 15K times each, and 0.698% of those impressions turn into an interaction. That is about 2.42% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 18 posts sampled, 94% carry an image or video, 11% are part of a thread and 11% link out. The account's strongest tracked post pulled 1.0K interactions, about 4.6x its own typical post.

What is Verona's engagement rate on X?
Verona (@verona_dev) has an engagement rate of 0.017%, based on the median interactions across 18 original posts from the last 30 days against 615,143 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.017%, Verona sits above the 10th percentile of the 212,567 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 @verona_dev have real engagement?
Its engagement rate beats 41% 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 @verona_dev post?
Most posts go out around 14:00 UTC, and Wednesday is its busiest day, at roughly 1.7 posts per day across the measured window.

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