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Cass 😎💯‼️Bang & Awesome Records ® engagement report

@cass_official_1 - 195K followers on X

Measured over 2 original posts from a 30-day window, last computed on October 10, 2026.

Engagement

Per follower
1.90%
of 195K followers
Per impression
0.616%
605K views on a typical post
Reach
308.7%
of its followers see a post
Typical post
3.7K
interactions (median)
Saved
0.304%
1.8K bookmarks on a typical post
Posting rate
2.03/day
active 63% of days
Peak time
14:00 UTC
Sunday

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 3.7K interactions against 195K followers, an engagement rate of 1.90%. Posts are seen about 605K times each, and 0.616% of those impressions turn into an interaction. That is about 309.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 14:00 UTC, and Sunday 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 6.5K interactions, about 1.7x 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 October 10, 2026. Recurring tag: #xrp.

Where this sits in the catalog

At 1.90%, Cass 😎💯‼️Bang & Awesome Records ® sits above the 75th percentile of the 205,152 accounts in this comparison. That places it in the top 25% band, which runs 0.678% to 2.55%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,152 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.678%
90th percentile2.55%
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 14:00 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.

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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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-+15%+14% to +16%32K
  • 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 2451 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 27, 20261.7x their median

    If you're wondering why $QNT price pumped 3x this week, this list is probably a good place to start ↓↓ • Quant was just chosen to build the next generation of US bank money. The Clearing House, owned by 25 major US banks like Chase, Bank of America, HSBC, and Citi settle more than $2 trillion per day and selected Quant to connect its new on-chain money network. • Quant is now powering the largest banks in the UK. Barclays, HSBC, Lloyds, NatWest, Santander and others are now executing live customer transactions on infrastructure built by Quant. • Quant is directly integrated into Murex’s MX.3 platform. MX.3 is the financial software engine powering 65 of the world's 100 largest banks, and Quant gives them crypto-ready infrastructure without requiring them to rewrite existing infrastructure. • Oracle has put Quant inside its enterprise digital-asset stack. One of the world's largest enterprise software companies has certified Overledger to provide cross-ledger orchestration for settling transactions across different ledgers and off-chain databases. • Quant is shaping the standards that will govern value movement across the internet. SATP is designed to let digital assets move safely between separate networks, and the protocol is now in the IETF's final community-review stage before a decision on publication. • Quant has built technology for the Bank for International Settlements and the Bank of England. Project Rosalind tested 33 API functions and 30+ real-world use cases, with Quant supplying blockchain infrastructure, smart contracts and interoperability. • The European Central Bank picked Quant to help experiment with the Digital Euro. Quant is testing how programmable payments could work directly with central-bank digital money, putting it inside one of Europe’s most important future payments projects. • Quant has already integrated with Nexi’s European payments infrastructure. The underlying SIA network spans 580 nodes across 208,000+ km of fiber, connecting banks, payment providers, and financial institutions across Europe. • Quant has been working on blockchain infrastructure spanning 12 countries across Latin America. The LACChain network gives Quant exposure to cross-border payments, tokenized money and interoperability across multiple national markets. • Quant has a direct route into Japan’s banking system through Dentsu Soken. Dentsu Soken builds mission-critical systems tied to BOJNET, SWIFT, CLS, internet banking, and core banking, and the partnership includes a joint go-to-market plan for Japanese banks. • Quant has been granted multiple patents across the US, Europe, Japan, and China. This gives Quant a defensible IP position in one of the hardest problems in digital finance — enterprise-grade multi-ledger technology. • Quant’s founder helped launch the ISO standard for blockchain and distributed ledger technology. Gilbert Verdian was instrumental in establishing ISO/TC 307, the international committee for blockchain and distributed ledger standards, going on to lead its interoperability working group. • Quant isn't betting the company on just one product. Overledger, Quant Flow, PayScript, QuantNet, and Fusion give it multiple products around interoperability, programmable money, payments, and multi-network settlement. • Gilbert was working on this problem before most people had even heard the word “interoperability.” Before Quant, he spent 20+ years in cybersecurity and senior technology roles across the Federal Reserve, Bank of England, HM Treasury, Mastercard, PricewaterhouseCoopers, HSBC, Ernst & Young, and other major institutions. • $QNT is unusually scarce for an asset servicing a global market. Its maximum supply is just 14.88 million tokens, giving it one of the tightest supply profiles in large-cap crypto. As we've seen this week, when demand spikes, upward moves can be violent. • Staking could create an even more powerful supply-and-demand loop. Likely arriving in 2027, Quant's staking mechanism could see millions of $QNT tokens locked away, while participants earn rewards and growing network usage competes for the same fixed supply. • All of this is only what we're allowed to see. Quant is built to operate behind the scenes as white-label infrastructure; we actually have no idea how many more integrations are already live, being tested, or sitting in the pipeline waiting to be announced. So when people ask me why $QNT suddenly ran this hard this week, I think they're asking the wrong question. The better question is why the market ignored all of this evidence for so long.

    5.1K1.0K2401541.1M viewsView on X
  • Apr 5, 20201.6x their median

    ‘ On The Low ‘ 📉 https://t.co/dWJfdGMpjE https://t.co/yzGDKoGqal

    4.5K667600121View on X
  • Nov 7, 2013

    I advise everyone buy at least 1 BTC. Risk: loose $300, potential: earn $10,000.

    3.3K411262226View on X
  • Sep 29, 2026

    $QNT MUST READ! Gilbert Verdian is the CEO of Quant and below is just one of many mind blowing statements he has made over the years about the $QNT token. I'm not kidding when I say "Grown men will cry!" Thanks to @DutchAlchemist for the screenshot below! Give him a follow! https://t.co/xE4WLgyUbj

    7991023213103K viewsView on X
  • Mar 13, 2026

    $XRP to $27 by 2030 📅 https://t.co/4wNVWZ9U5g

    1131331254K viewsView on X
  • Aug 25, 2026

    "Every stock, every bond, every fund, every asset can be tokenized." Larry Fink, who runs $14 trillion. The $XRP Ledger was built for this: issued assets, 3–5s settlement, $4B+ in RWAs live, #1 in inflows. https://t.co/DF8vEDewh7 is where they trade. https://t.co/co84XNqcRM

    1072337130K 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

#xrp

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 3.7K interactions against 195K followers, an engagement rate of 1.90%. Posts are seen about 605K times each, and 0.616% of those impressions turn into an interaction. That is about 309.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 14:00 UTC, and Sunday 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 6.5K interactions, about 1.7x 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 Cass 😎💯‼️Bang & Awesome Records ®'s engagement rate on X?
Cass 😎💯‼️Bang & Awesome Records ® (@cass_official_1) has an engagement rate of 1.90%, based on the median interactions across 2 original posts from the last 30 days against 195,444 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 1.90%, Cass 😎💯‼️Bang & Awesome Records ® sits above the 75th percentile of the 205,152 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 @cass_official_1 have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @cass_official_1 post?
Most posts go out around 14:00 UTC, and Sunday is its busiest day, at roughly 2.03 posts per day across the measured window.

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