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₿itlanger engagement report

@Bitlanger - 397K followers on X

Measured over 16 original posts from a 30-day window, last computed on September 28, 2026.

Engagement

Middle of its size range
Per follower
0.025%
of 397K followers
Per impression
0.915%
11K views on a typical post
Reach
2.74%
of its followers see a post
Typical post
100
interactions (median)
Saved
0.083%
9 bookmarks on a typical post
Posting rate
0.7/day
active 50% of days
Peak time
04:00 UTC
Wednesday

A typical post picks up 100 interactions against 397K followers, an engagement rate of 0.025%. Measured over 16 original posts, its engagement rate beats 48% of 20,444 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 11K times each, and 0.915% of those impressions turn into an interaction. That is about 2.74% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.7 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 04:00 UTC, and Wednesday is the busiest day of the week. Of the 16 posts sampled, 94% carry an image or video and 31% link out. The account's strongest tracked post pulled 13K interactions, about 104x its own typical post. Recurring topics include #bitcoin, #chop, #crypto.

Measured over 16 original posts from a 30-day window, last computed on September 28, 2026. Recurring tags: #bitcoin, #chop, #crypto.

Compared with accounts its own size

₿itlanger's engagement rate beats 48% of the tracked X accounts closest to it in follower count (20,444 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 45% 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 0.025%, ₿itlanger sits above the 25th percentile of the 204,798 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%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,798 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,879 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 04:00 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: 04:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 04:00 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 link31% 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.
  • 31% 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 311 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

  • Mar 28, 2026104x their median

    🇨🇳 China just released footage of their robot wolves running simulated street battles with micro-missiles and grenade launchers. Black Mirror called, they want their props back. https://t.co/mn1tO6qDZQ

    9.7K1.6K7524252.8M viewsView on X
  • Mar 25, 20266.2x their median

    Access to Agentic Tournament is LIVE • $5M in rewards • Top 1 Base App • 110K+ monthly players • $OWB is up 40x for the early birds • we’re just getting started Agentic Gaming turns play into prompting - you give commands, AI agents grind for cash. https://t.co/oDitmCKifT

    37976116173175K viewsView on X
  • Sep 20, 20266.8x their median

    @Rephoodxyz | Launch Stream Powered by @CyreneAI https://t.co/DiWODtOOFm

    144653228.7K viewsView on X
  • Apr 14, 20265.1x their median

    CZ @cz_binance on FOX Business “I think so, yes.” on whether the Biden administration wanted to make an example out of him Freedom of Money tells the full story full video below 🎥 https://t.co/3O3gW5OtMT

    488496410332K viewsView on X
  • Jun 2, 20264.0x their median

    GM internet friends 🌄☕ Weak hands panic in red markets, strong hands build in them 🤜🤛 https://t.co/HbyWM7KuJs

    1911020109.7K viewsView on X
  • Jun 3, 20263.3x their median

    A proper breakdown of The9Bit World Cup Prediction Platform mechanics 👇 @official_9bit just launched a new profitable prediction market platform but most people don't realize how different a prediction market is from regular sports betting. Here's what matters: 🔵 PAYOUT MODEL Winners receive 95% of the losing side's total pool, distributed proportionally by stake. Your original bet is returned on top. If France bettors pool 100k pts and France wins against Brazil's 50k pts → France side splits 47,500 pts + gets stakes back. 🔵 FEES Only 5% of losers' pool. Half goes to the platform, half goes to referral leaders. If you sign up under a leader, they earn not the house. 🔵 WAGERING RULE 1:1. You must wager your deposited amount once before withdrawal. No 5x rollover nonsense. 🔵 SUPPORTED CHAINS ETH, BSC (USDT) and Solana ($9BIT). Withdrawals same chains. Honestly clean structure. Try it here https://t.co/xBsoC7gaY6 I would suggest trying it before June 11th because more early = better odds. DYOR -

    12627180096K viewsView on X
  • Sep 16, 20263.1x their median

    Good morning 🌄☕ Have a nice day everyone 🤝 https://t.co/LuasFfkUjH

    1591214308.0K viewsView on X
  • May 22, 20263.1x their median

    Thunder Trend Token (TTT) is the core utility token powering the growing SUN ecosystem -  connecting digital education, gaming, advertising, NFTs, blockchain utilities, and real-world infrastructure initiatives. Built on the TRON blockchain, TTT supports a scalable digital economy where multiple ecosystem platforms can interact through one interconnected utility layer. Through SUN’s collaboration with Aureus Alliance Holdings, the ecosystem is also exploring opportunities connected to gold, real-world assets, infrastructure, and resource development sectors - helping bridge real-world business activity with Web3 growth. More than just a token, TTT is designed to become the foundation of a long-term, utility-driven ecosystem spanning multiple industries. #ThunderTrendToken #TTT #Crypto #Web3 #Blockchain #Coinstore #TRON 🔗 Explore more: https://t.co/lDnaL2oZLF

    15112145029K viewsView on X
  • May 12, 20262.8x their median

    Good morning WEB3 🌄☕ If you Reply, I'll follow back 🤝 Let's get back where we were. https://t.co/gLXGiJ8ogP

    899181012K viewsView on X
  • Sep 14, 20262.5x their median

    Good morning 🌄☕ Have a nice day everyone 🤜🤛 https://t.co/8QmfbdcY61

    1281011105.7K 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

#bitcoin#chop#crypto#launch#web3

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 100 interactions against 397K followers, an engagement rate of 0.025%. Measured over 16 original posts, its engagement rate beats 48% of 20,444 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 11K times each, and 0.915% of those impressions turn into an interaction. That is about 2.74% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.7 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 04:00 UTC, and Wednesday is the busiest day of the week. Of the 16 posts sampled, 94% carry an image or video and 31% link out. The account's strongest tracked post pulled 13K interactions, about 104x its own typical post. Recurring topics include #bitcoin, #chop, #crypto.

What is ₿itlanger's engagement rate on X?
₿itlanger (@Bitlanger) has an engagement rate of 0.025%, based on the median interactions across 16 original posts from the last 30 days against 396,587 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.025%, ₿itlanger sits above the 25th percentile of the 204,798 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 @Bitlanger have real engagement?
Its engagement rate beats 48% of the tracked X accounts closest to it in follower count (20,444 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 @Bitlanger post?
Most posts go out around 04:00 UTC, and Wednesday is its busiest day, at roughly 0.7 posts per day across the measured window.

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