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Bankless engagement report

@Bankless - 411K followers on X

Measured over 15 original posts from a 30-day window, last computed on September 27, 2026.

Engagement

Middle of its size range
Per follower
0.009%
of 411K followers
Per impression
0.204%
19K views on a typical post
Reach
4.63%
of its followers see a post
Typical post
39
interactions (median)
Saved
0.026%
5 bookmarks on a typical post
Posting rate
1.73/day
active 60% of days
Peak time
12:00 UTC
Friday

A typical post picks up 39 interactions against 411K followers, an engagement rate of 0.009%. Measured over 15 original posts, its engagement rate beats 33% of 20,182 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 19K times each, and 0.204% of those impressions turn into an interaction. That is about 4.63% 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 60% of days. Most posts go out around 12:00 UTC, and Friday is the busiest day of the week. Of the 15 posts sampled, 67% carry an image or video and 33% link out. The account's strongest tracked post pulled 5.4K interactions, about 139x its own typical post.

Measured over 15 original posts from a 30-day window, last computed on September 27, 2026.

Compared with accounts its own size

Bankless's engagement rate beats 33% of the tracked X accounts closest to it in follower count (20,182 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 15% 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 0.009%, Bankless sits above the 10th percentile of the 202,259 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.142%
p750.672%
p902.54%
p9982.5%
Engagement rate as a share of followers, across the 202,259 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,930 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 percentile0.142%
75th percentile0.672%
90th percentile2.54%
99th percentile82.5%

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 Friday 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video67% of posts+111%+108% to +115%34K
Outbound link33% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 67% 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 568 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

  • Dec 8, 2025139x their median

    https://t.co/ek1ivnzla3

    4.5K4922111792.0M viewsView on X
  • Jun 25, 202635x their median

    Venice now at 100 billion daily tokens https://t.co/vfioMeXWti

    1.1K1366729192K viewsView on X
  • Aug 24, 202610x their median

    NEW EPISODE - What’s Next for BitMine After 5% of ETH? @BitMNR is closing in on its goal of owning 5% of all ethereum:native after 60+ straight weeks of buying. Chairman @fundstrat joins @TrustlessState to break down what happens after 5%, why BitMine may keep accumulating, and how he sees Ethereum’s next phase unfolding through tokenization, AI, and institutional adoption. Plus: why Tom thinks ETH could easily trade above $10K in the next cycle. CHAPTERS --- 0:00 BitMine’s Rapid March Toward 5% of ETH 3:36 More Than 60 Consecutive Weeks of ETH Purchases 5:29 Where BitMine’s Capital Comes From 8:27 What Happens When BitMine Reaches 5%? 13:47 Would BitMine Ever Sell Its ETH? 15:29 Maven and BitMine’s Evolution Beyond a Treasury Company 16:52 Ethereum’s Next Narrative 23:06 Does Ethereum Actually Capture Value? 29:13 Is ETH a Store of Value or a Cash-Flowing Asset? 35:19 What BitMine Has Learned From Michael Saylor 37:42 Why BitMine Issued BMNP 42:13 The Proposal That Could Reduce Staking Yield to Zero 47:54 Funding Ethereum Foundation Spinouts 53:23 BitMine’s Role in Ethereum’s Future 1:02:14 Is AI Crowding Crypto Out of the Market? 1:05:11 Has the Crypto Market Already Bottomed? 1:06:18 Tom Lee’s ETH Price Outlook

    312372419254K viewsView on X
  • Aug 18, 20264.8x their median

    The August $VVV Call 📺 Live on 𝕏 — Wed, Aug 19 · 12pm ET - Venice just passed $100m ARR - VVV burns hit ATHs 8 days in a row - VVV emissions cut by 33% Tomorrow, @JonShapeShift and I are going live to break down the hottest month in Venice history 🔥 Set a reminder 👇

    1551215438K viewsView on X
  • Aug 20, 20264.3x their median

    President Trump, from the White House, thanking the leaders of the crypto industry by name. CFTC Chairman Selig SEC Chairman Atkins Brian Armstrong from @coinbase Vlad Tenev from @RobinhoodApp Arjun Sethi from @krakenfx Sergey Nazarov from @chainlink The Winklevii from @krakenfx Chris Dixon from @a16z We've come a long way

    14779522K viewsView on X
  • Aug 10, 20264.2x their median

    INTERVIEW: The EIP That Destroys DeFi | Stani Kulechov & Mike Silagadze Ethereum’s latest staking proposal is sparking backlash across DeFi. @aave founder @StaniKulechov and @ether_fi CEO @MikeSilagadze join @TrustlessState to break down why stake tapering could push $ETH yield toward zero, weaken solo staking, drive capital out of DeFi, and make ETH less attractive to institutions. They debate Ethereum’s monetary policy, whether the network is overpaying for security, and why trying to make ETH more like Bitcoin could undermine what makes Ethereum valuable in the first place. [TIMESTAMPS] Intro 0:00 0:09 Ethereum’s Staking Debate 2:41 Stani’s First Reaction 7:48 Mike’s Centralization Concerns 14:37 DeFi Under Pressure 17:15 Stani on Yield and Cash Flow 24:54 The Case for Vanilla Ether 27:20 Mike Pushes Back 34:27 Issuance and Monetary Policy 35:16 Minimum Viable Issuance 40:47 Institutions Need Predictability 46:10 Conservative Yield, Not Zero 47:46 Legitimacy and Process 52:54 Final Verdict on the EIP

    10817319132K viewsView on X
  • Sep 24, 20264.2x their median

    1,000 likes and @RyanSAdams will rap forreal https://t.co/Ywiq6XZAmY

    143416119K viewsView on X
  • Aug 18, 20264.1x their median

    Yo fam, we built something at @Bankless that's materially upgraded my Claude responses AI is bad at crypto. the labs clearly don't have good crypto data. So we took everything we've made (2,000+ transcripts and 5,000+ articles), and structured it into... The Bankless MCP 🤖 Plug it into your AI provider and your crypto queries instantly get better. We keep it updated with every new article and episode, so it stays current Premium members only! log in at Bankless dot com, paste the instructions into your AI (or just tell your agent to do it) and boom. check it out and lmk what you think!

    130820325K viewsView on X
  • Sep 23, 20264.1x their median

    NEW EPISODE - FOMO, Meme Stocks and Robinhood Chain | @andy8052 & @econoar Eric and Andy join @TrustlessState to unpack how @fomo is changing meme coin discovery, which signals they actually watch before buying, how AI can surface bundled wallets and red flags, and the brutal reality of knowing when to cut a loser. From social trading and copy traders to information asymmetry and finding the next runner, this is a look inside how the meme coin game actually works today. CHAPTERS --- 0:00 Meme Coins Are Back 5:47 Can Meme Markets Mature? 7:48 AI as a Safety Layer 13:10 Stock-Paired Meme Coins 17:01 Building Stronger Schelling Points 21:00 Will Public Companies Care? 28:56 The Community Takeover Scenario 32:18 Meme Coins as a Liquidity Engine 36:16 How Andy and Eric Use FOMO 42:39 What Signals Actually Matter 47:54 When Do You Sell a Loser? 52:26 FOMO Rewards and Public Trading Data 55:36 The $20K ETH Jinx

    1131822566K viewsView on X
  • Aug 27, 20263.2x their median

    NEW EPISODE - Wall Street Wants Ethereum. Privacy Is the Bottleneck Institutions want to move onchain, but public-by-default finance still exposes too much. @eth_systems co-founders @motypes and @oskarth join @TrustlessState to break down why privacy may be Ethereum’s biggest institutional unlock, what banks and asset managers are actually asking for, and how private institutional rails could eventually plug into DeFi. CHAPTERS --- ETH Systems The Founders Institutional Privacy Real-World Use Cases From Bespoke to Scalable Building the Product Institutions Are Coming The Future of Institutional DeFi Privacy vs Transparency What Ethereum Can Do? Cypherpunks and Institutions

    941489143K 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 39 interactions against 411K followers, an engagement rate of 0.009%. Measured over 15 original posts, its engagement rate beats 33% of 20,182 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 19K times each, and 0.204% of those impressions turn into an interaction. That is about 4.63% 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 60% of days. Most posts go out around 12:00 UTC, and Friday is the busiest day of the week. Of the 15 posts sampled, 67% carry an image or video and 33% link out. The account's strongest tracked post pulled 5.4K interactions, about 139x its own typical post.

What is Bankless's engagement rate on X?
Bankless (@Bankless) has an engagement rate of 0.009%, based on the median interactions across 15 original posts from the last 30 days against 411,483 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.009%, Bankless sits above the 10th percentile of the 202,259 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 @Bankless have real engagement?
Its engagement rate beats 33% of the tracked X accounts closest to it in follower count (20,182 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 @Bankless post?
Most posts go out around 12:00 UTC, and Friday is its busiest day, at roughly 1.73 posts per day across the measured window.

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