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Lookonchain engagement report

@lookonchain - 706K followers on X

Measured over 81 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Middle of its size range
Per follower
0.053%
of 706K followers
Per impression
0.542%
70K views on a typical post
Reach
9.85%
of its followers see a post
Typical post
377
interactions (median)
Saved
0.022%
15 bookmarks on a typical post
Posting rate
3.37/day
active 50% of days
Peak time
02:00 UTC
Monday

A typical post picks up 377 interactions against 706K followers, an engagement rate of 0.053%. Measured over 81 original posts, its engagement rate beats 59% of 3,882 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 70K times each, and 0.542% of those impressions turn into an interaction. That is about 9.85% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.4 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 02:00 UTC, and Monday is the busiest day of the week. Of the 81 posts sampled, 100% carry an image or video and 80% link out. The account's strongest tracked post pulled 3.2K interactions, about 8.6x its own typical post. Recurring topics include #binance, #bitcoin, #ethereum.

Measured over 81 original posts from a 30-day window, last computed on September 1, 2026. Recurring tags: #binance, #bitcoin, #ethereum.

Compared with accounts its own size

Lookonchain's engagement rate beats 59% of the tracked X accounts closest to it in follower count (3,882 accounts, accounts of similar size (decile 8 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 36% 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 0.053%, Lookonchain sits above the 25th percentile of the 37,582 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.081%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99158.1%
Engagement rate as a share of followers, across the 37,582 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 105,409 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 percentile0.002%
25th percentile0.012%
50th percentile0.081%
75th percentile0.439%
90th percentile2.10%
99th percentile158.1%

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 02:00 UTC, and Monday 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: 02:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 02:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%52K
01:00 UTC-2%53K
02:00 UTC-3%51K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%50K
07:00 UTC-5%54K
08:00 UTC-4%62K
09:00 UTC-3%72K
10:00 UTC-2%74K
11:00 UTC-3%81K
12:00 UTC-2%89K
13:00 UTC-2%98K
14:00 UTC-4%101K
15:00 UTC-2%104K
16:00 UTC-3%102K
17:00 UTC-3%94K
18:00 UTC-1%88K
19:00 UTC-2%83K
20:00 UTC-1%77K
21:00 UTC-1%68K
22:00 UTC-2%59K
23:00 UTC-2%53K
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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%237K
Monday0%300K
Tuesday-3%299K
Wednesday-1%256K
Thursday-1%249K
Friday-3%258K
Saturday+3%232K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jan 5, 20258.6x their median

    What a smart #AI coin trader! Profits exceeded $5.14M on $GOAT. Profits exceeded $4.5M on $ai16z. Profits exceeded $4M on $Fartcoin. Profits exceeded $4M on $arc. Let’s take a look at which tokens he is buying. 1/ A thread🧵 https://t.co/UkD36wuH6Z

    2.5K500220331.1M viewsView on X
  • Aug 22, 20266.5x their median

    Machi(@machibigbrother), who has been liquidated nearly 500 times, turned just $152K into $12.72M in only 3 days, making a profit of over $12.5M! Looks like he doesn't need to sell his Bored Apes to keep his longs going anymore. https://t.co/mQLVsDGoSP https://t.co/EpJXACA9GV

    2.0K14218095617K viewsView on X
  • Aug 18, 20263.8x their median

    Smart #Solana whale (GvHYQQ) bought another 47,535 $SOL($3.6M) after over 2 years of inactivity. The whale perfectly bought the dip in August and October 2023, buying 291,790 $SOL ($6.82M) at an average price of just $23.37. Then $SOL started to skyrocket. As $SOL surged, the whale took profit by selling 191,789 $SOL ($24.62M) at an average price of $128.36, making over $20M in realized profit. Now, after 2 years of inactivity, the whale is buying the $SOL dip again. https://t.co/7UlLjOA5hk

    1.2K1267327232K viewsView on X
  • Aug 20, 20263.1x their median

    What a coincidence! 13 hours ago, a whale created a new wallet (0xedcd), deposited 20M $USDC into Hyperliquid, and opened a 4x long on 20,000 $ETH($45.38M). Shortly after he opened the position, $ETH started surging. He is now sitting on an unrealized profit of $6.66M. https://t.co/q60hDVdWQk

    1.0K627922201K viewsView on X
  • Aug 27, 20262.5x their median

    Another smart trader spotted! After 2 years of inactivity, he bought 95,928 $SOL($9.74M) again. Over the past 3 years, he has completed 2 $SOL swing trades, buying low and selling high both times, making $4.95M in total profit. https://t.co/jXfOYsbVkd https://t.co/6XlaRXjyiV

    805695710119K viewsView on X
  • Aug 30, 20262.5x their median

    Unipcs(@theunipcs) is now up $2.48M on ethereum:0x07f5b6823751c2e2cd4560f28af75ff887102241 — a 37x return! He spent 67,304 solana:2u1tszSeqZ3qBWF3uNGPFc8TzMk2tdiwknnRMWGWjGWH to buy 10.96M ethereum:0x07f5b6823751c2e2cd4560f28af75ff887102241 and hasn't sold any — now worth $2.55M! https://t.co/rJDMxuSRW5

    83336568122K viewsView on X
  • Aug 29, 20262.3x their median

    James Wynn(@JamesWynnReal ) is back again! He opened a 20x short on 1.33 bitcoin:native ($103K). Liquidation price: $80,483.47 https://t.co/ov9rXPTood https://t.co/EnYTIu35K6

    6353316831172K viewsView on X
  • Aug 25, 20262.3x their median

    At one point, Machi(@machibigbrother) was liquidated until he had less than $60K left in his account. Now, his account balance has grown nearly 200x, and he has opened massive $113M in $BTC and $ETH longs. Current positions: 23,350 $ETH($59M) 668 $BTC($54M) https://t.co/j0jBgYa1zp

    731467515287K viewsView on X
  • Sep 1, 20262.1x their median

    This guy must be feeling terrible right now. A month ago, he spent 181 $ETH ($443K) to buy 7.99M ethereum:0x07f5b6823751c2e2cd4560f28af75ff887102241. After the price dropped, he sold all 7.99M ethereum:0x07f5b6823751c2e2cd4560f28af75ff887102241 for 135K solana:2u1tszSeqZ3qBWF3uNGPFc8TzMk2tdiwknnRMWGWjGWH, taking a $308K loss. Those 7.99M ethereum:0x07f5b6823751c2e2cd4560f28af75ff887102241 are now worth $3.46M — he would've made over $3M if he had held! https://t.co/aRMshTWpve

    653367316131K viewsView on X
  • Aug 24, 20261.9x their median

    It seems that all the big whales have been liquidated in this price surge! Currently, the largest short positions on the blockchain are held by market makers' hedging accounts. Abraxas Capital, Fasanara Capital, and Wintertermute collectively hold short positions of 138,569 $ETH ($338M) and 3,425 $BTC($265M). https://t.co/erED5SiQGO https://t.co/pvzz4V9ayD https://t.co/zTMOxhqarl https://t.co/oHPsZgTg8K

    59055581699K 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

#binance#bitcoin#ethereum#falconx#coinbaseprime

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 377 interactions against 706K followers, an engagement rate of 0.053%. Measured over 81 original posts, its engagement rate beats 59% of 3,882 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 70K times each, and 0.542% of those impressions turn into an interaction. That is about 9.85% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.4 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 02:00 UTC, and Monday is the busiest day of the week. Of the 81 posts sampled, 100% carry an image or video and 80% link out. The account's strongest tracked post pulled 3.2K interactions, about 8.6x its own typical post. Recurring topics include #binance, #bitcoin, #ethereum.

What is Lookonchain's engagement rate on X?
Lookonchain (@lookonchain) has an engagement rate of 0.053%, based on the median interactions across 81 original posts from the last 30 days against 706,438 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.053%, Lookonchain sits above the 25th percentile of the 37,582 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 @lookonchain have real engagement?
Its engagement rate beats 59% of the tracked X accounts closest to it in follower count (3,882 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 @lookonchain post?
Most posts go out around 02:00 UTC, and Monday is its busiest day, at roughly 3.37 posts per day across the measured window.

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