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CoinTalk engagement report

@CoinTalkX - 460K followers on X

Measured over 40 original posts from a 30-day window, last computed on October 26, 2026.

Engagement

Middle of its size range
Per follower
0.007%
of 460K followers
Per impression
0.419%
8.2K views on a typical post
Reach
1.79%
of its followers see a post
Typical post
34
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.33/day
active 13% of days
Peak time
06:00 UTC
Sunday

A typical post picks up 34 interactions against 460K followers, an engagement rate of 0.007%. Measured over 40 original posts, its engagement rate beats 30% 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 8.2K times each, and 0.419% of those impressions turn into an interaction. That is about 1.79% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 06:00 UTC, and Sunday is the busiest day of the week. Of the 40 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 520 interactions, about 15x its own typical post.

Measured over 40 original posts from a 30-day window, last computed on October 26, 2026.

Compared with accounts its own size

CoinTalk's engagement rate beats 30% 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 27% 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 0.007%, CoinTalk 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 06:00 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: 06:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 06:00 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 video100% of posts+111%+108% to +115%34K
Outbound link3% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 100% 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.
  • 3% 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 506 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 17, 202615x their median

    BREAKING: @dfinity founder Dominic Williams has spent years pursuing a vision of an on-chain alternative to traditional cloud infrastructure, aiming to move websites, applications and backend services directly onto a decentralized network. The Internet Computer is designed to run software entirely onchain through smart-contract-based canisters, combining persistent storage, computation and web serving without relying on conventional centralized cloud providers. Williams’ broader vision is to turn blockchain into a full-scale computing platform, with the Internet Computer continuing to expand its capabilities across AI, decentralized applications and other internet-native services.

    4168320125K viewsView on X
  • Oct 25, 202611x their median

    JUST IN: @NEARProtocol has revealed that NEAR AI’s agent successfully solved all 672 problems in the PutnamBench mathematical benchmark using DeepSeek V4, at an average cost of just $0.17 per problem. By comparison, rival systems achieving perfect scores with @OpenAI GPT-5.6 and @AnthropicAI Claude Opus 5 reportedly cost $44.50 and $3.52 per problem, respectively. These figures highlight a significant difference in the reported cost of achieving the same benchmark result. The development underscores growing competition to make advanced AI reasoning more affordable and accessible.

    318339417K viewsView on X
  • Oct 25, 20269.0x their median

    INSIGHT: @dfinity has introduced a new integration that allows conversations from @Telegram and Discord to be bridged into OpenChat, a DAO-governed messaging platform built on the Internet Computer. The feature connects OpenChat with Telegram’s massive user base of over 1 billion active users and Discord’s 90 million-plus daily users. Messages can flow in both directions, with each user’s linked account maintaining the connection across platforms. This development could make cross-platform communication more seamless while expanding OpenChat’s reach within the Web3 messaging ecosystem.

    2385410312K viewsView on X
  • Oct 25, 20268.5x their median

    BREAKING: Sergey Nazarov, co-founder of @chainlink, is a key figure behind one of the crypto industry's leading blockchain infrastructure platforms. Chainlink’s technology connects smart contracts with real-world data and enables cross-chain interoperability, supporting a growing range of blockchain applications. As adoption of blockchain infrastructure expands, Nazarov and the $LINK ecosystem remain important names to watch across the industry.

    266166010K viewsView on X
  • Oct 23, 20268.3x their median

    JUST IN: Canary’s spot HBAR ETF, the first US spot fund for Hedera’s token, now holds 800,478,095.53 HBAR, up 69.07% this year from 473,456,805 HBAR. The fund’s holdings represent approximately 1.82% of HBAR’s circulating supply, with net assets totaling $63.39 million. The growth highlights increasing institutional exposure to hedera-hashgraph:native through regulated investment products, bringing @hedera further into focus in the US crypto ETF market.

    237339217K viewsView on X
  • Sep 19, 20267.5x their median

    🚨BREAKING: Zebec payroll business continues to expand, with @Zebec_HQ processing $54M in monthly payroll in August for 15,800 employees across 269 enterprise clients. Its card business is also running at a $71M annualized volume across 97 countries, showing a growing international footprint. Enterprise $USDC payroll on @StellarOrg has reached 18 clients, up from 15 previously. Meanwhile, Zebec has repurchased more than 504.7M $ZBCN, adding another notable development to its latest monthly figures.

    202449112K viewsView on X
  • Oct 23, 20267.4x their median

    INSIGHT: 🏦 $SUI Expands Its Role in Tokenized Fixed Income Neuberger, whose fixed income platform oversees more than $230 billion, is serving as subadviser to HINC, a tokenized high-yield bond fund now live on @SuiNetwork. Issued by @Securitize, HINC is also available across @avax, @ethereum, and @solana, extending its reach across multiple blockchain ecosystems. The development highlights how established investment managers and tokenization platforms are bringing traditional fixed-income products on-chain, connecting institutional expertise with blockchain-based financial infrastructure. With HINC now live on Sui alongside other major networks, @SuiNetwork continues to strengthen its presence in the evolving real-world asset (RWA) sector.

    228165213K viewsView on X
  • Oct 23, 20266.1x their median

    BREAKING: @Circle @USDC has recorded impressive growth on @NEARProtocol, with its supply surging 118.36% over the past 30 days to reach $89.56 million. The expansion highlights growing adoption of the $72.54 billion stablecoin within the NEAR ecosystem. This sharp increase could signal rising demand for stablecoin liquidity and on-chain financial activity across the network.

    17825318.8K viewsView on X
  • Sep 18, 20264.6x their median

    NEWS: Blockchain could become the foundation for a new era of tokenized financial products, according to Sandy Kaul, Head of Innovation at @FTDA_US . Speaking at the recent @Avax Summit in New York, Kaul said she expects virtually every type of financial product to eventually be tokenized. She also described blockchain rails as “superior infrastructure” compared with the systems used today. Her comments highlight growing interest from traditional finance in blockchain-based infrastructure.

    13914318.7K viewsView on X
  • Sep 20, 20264.4x their median

    NEWS: New York Life Investments, with more than $800 billion in assets, is bringing its first tokenized fund onchain through Avalanche ($AVAX) and Centrifuge. Its High Yield Corporate Bond Strategy marks another move by a major traditional asset manager into blockchain based fund infrastructure and the broader tokenized RWA market.

    13511418.3K 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.

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Reading these numbers

A typical post picks up 34 interactions against 460K followers, an engagement rate of 0.007%. Measured over 40 original posts, its engagement rate beats 30% 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 8.2K times each, and 0.419% of those impressions turn into an interaction. That is about 1.79% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 06:00 UTC, and Sunday is the busiest day of the week. Of the 40 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 520 interactions, about 15x its own typical post.

What is CoinTalk's engagement rate on X?
CoinTalk (@CoinTalkX) has an engagement rate of 0.007%, based on the median interactions across 40 original posts from the last 30 days against 460,360 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.007%, CoinTalk 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 @CoinTalkX have real engagement?
Its engagement rate beats 30% 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 @CoinTalkX post?
Most posts go out around 06:00 UTC, and Sunday is its busiest day, at roughly 1.33 posts per day across the measured window.

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