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ULVI engagement report

@ulviofficial007 - 50K followers on X

Measured over 11 original posts from a 30-day window, last computed on October 20, 2026.

Engagement

Middle of its size range
Per follower
0.05%
of 50K followers
Per impression
1.66%
1.5K views on a typical post
Reach
3.03%
of its followers see a post
Typical post
25
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.9/day
active 30% of days
Peak time
03:00 UTC
Tuesday

A typical post picks up 25 interactions against 50K followers, an engagement rate of 0.05%. Measured over 11 original posts, its engagement rate beats 26% of 20,445 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 1.5K times each, and 1.66% of those impressions turn into an interaction. That is about 3.04% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.9 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 03:00 UTC, and Tuesday is the busiest day of the week. Of the 11 posts sampled, 82% carry an image or video. The account's strongest tracked post pulled 165 interactions, about 6.6x its own typical post. Recurring topics include #bnb, #crypto, #cryptocommunity.

Measured over 11 original posts from a 30-day window, last computed on October 20, 2026. Recurring tags: #bnb, #crypto, #cryptocommunity.

Compared with accounts its own size

ULVI's engagement rate beats 26% of the tracked X accounts closest to it in follower count (20,445 accounts, accounts of similar size (decile 4 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 46% 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 0.05%, ULVI sits above the 25th percentile of the 205,991 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.68%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 205,991 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 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 percentile0.024%
50th percentile0.143%
75th percentile0.68%
90th percentile2.56%
99th percentile82.4%

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 03:00 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: 03:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 03:00 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 video82% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 82% 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 288 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

  • Sep 22, 20266.6x their median

    Hey crypto fam 👋 👇 A new project is gaining attention 👀 🔹 CA: "A3UtDD3HMcostDKFju4JQAPtE2qRMf4A2i6kyRKHh71v" 📊 Keep it on your radar and do your own research before making any decision. 🤝 Promoted by RobinHood Alpha #Crypto #Solana #Web3 #Memecoin #CryptoCommunity https://t.co/rmdgK1psLz

    139620029K viewsView on X
  • Oct 16, 20262.2x their median

    Bitcoin is holding near $80K but the recovery still needs confirmation. bitcoin:native has bounced from the $80K area more than once, yet buyers are still struggling to push price back above $83.5K–$84K. Here’s what I’m watching: Support: $80K–$80.5K Resistance: $83.5K–$84K Stoch RSI is turning up, suggesting short-term momentum is improving. If buyers reclaim resistance, another move higher could follow. If $80K breaks the picture changes. Patience matters. 🤝

    511302.0K viewsView on X
  • Oct 17, 2026

    Crypto Fear & Geed Index Market sentiment is back in the neutral zone. Traders aren’t showing extreme fear or greed right now suggesting the market is still searching for direction. Is this the calm before the next big move? https://t.co/TEyBD6X9N2

    321301.6K viewsView on X
  • Oct 18, 2026

    BITCOIN’S 4-YEAR CYCLE Bitcoin has followed a similar pattern in previous cycles: 2011–2014: Buy → Hold → Peak → Bear Market 2015–2018: Buy → Hold → Peak → Bear Market 2019–2022: Buy → Hold → Peak → Bear Market 2023–2026: Will the same pattern repeat? If history follows a similar path, the next phase could be accumulation before another bull run. Looking ahead the next cycle could look like this: 2027: Potential accumulation 2028: Possible continuation 2029: Potential market peak 2030: Possible correction Bitcoin doesn’t follow a fixed schedule and past cycles don’t guarantee future results. Do you think bitcoin:native will repeat its 4-year cycle or is this time different?

    221301.7K viewsView on X
  • Oct 17, 2026

    $228.58M IN BITCOIN ETF OUTFLOWS! BlackRock and other Bitcoin ETFs saw significant selling this week. Institutional flows are turning into a key signal for the market. Will the money flow back into Bitcoin next week or do sellers have more to unload? https://t.co/tGVkuneTER

    221301.3K viewsView on X
  • Oct 18, 2026

    goood morning friends.

    220301.5K viewsView on X
  • Oct 19, 2026

    ETH/BTC RSI HITS ITS LOWEST LEVEL SINCE MAY The daily RSI has dropped to around 25 showing strong downside momentum and oversold conditions. Could this be a turning point for Ethereum against Bitcoin? https://t.co/EMyphCjGDt

    181301.2K viewsView on X
  • Oct 19, 2026

    BITCOIN IS HOLDING ITS GROUND The stock market took a hit but Bitcoin is showing strength. Nasdaq: Down 5% Semiconductor stocks: Down over 11% ₿ Bitcoin: Holding near $80K BTC has stayed above its 50 week moving average for five straight weeks. What matters now: $80K — Key support $76K — Major support $84K — First resistance $87.5K — Next resistance If Bitcoin holds its support the recovery could continue.

    141301.8K viewsView on X
  • Oct 16, 2026

    Bullish shift for crypto. Fed rate hike odds have dropped to just 14.9% while the market sees an 85.1% chance of no change. Less pressure from further rate hikes could be a positive tailwind for BTC and other risk assets. If the Fed holds crypto could have more room to run. https://t.co/4gYASK3m2y

    121201.1K viewsView on X
  • Oct 20, 2026

    gooood morning friends!

    41301.3K 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

#bnb#crypto#cryptocommunity#memecoin#solana

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 25 interactions against 50K followers, an engagement rate of 0.05%. Measured over 11 original posts, its engagement rate beats 26% of 20,445 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 1.5K times each, and 1.66% of those impressions turn into an interaction. That is about 3.04% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.9 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 03:00 UTC, and Tuesday is the busiest day of the week. Of the 11 posts sampled, 82% carry an image or video. The account's strongest tracked post pulled 165 interactions, about 6.6x its own typical post. Recurring topics include #bnb, #crypto, #cryptocommunity.

What is ULVI's engagement rate on X?
ULVI (@ulviofficial007) has an engagement rate of 0.05%, based on the median interactions across 11 original posts from the last 30 days against 49,668 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.05%, ULVI sits above the 25th percentile of the 205,991 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 @ulviofficial007 have real engagement?
Its engagement rate beats 26% of the tracked X accounts closest to it in follower count (20,445 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 @ulviofficial007 post?
Most posts go out around 03:00 UTC, and Tuesday is its busiest day, at roughly 0.9 posts per day across the measured window.

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