Lookonchain engagement report
@lookonchain - 711K followers on X
Measured over 76 original posts from a 30-day window, last computed on October 2, 2026.
Engagement
A typical post picks up 392 interactions against 711K followers, an engagement rate of 0.055%. Measured over 76 original posts, its engagement rate beats 61% 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 71K times each, and 0.55% of those impressions turn into an interaction. That is about 10.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 76 posts sampled, 100% carry an image or video and 86% link out. The account's strongest tracked post pulled 3.4K interactions, about 8.7x its own typical post. Recurring topics include #binance, #ethereum, #bitcoin.
Measured over 76 original posts from a 30-day window, last computed on October 2, 2026. Recurring tags: #binance, #ethereum, #bitcoin.
Compared with accounts its own size
Lookonchain's engagement rate beats 61% 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 33% 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 0.055%, Lookonchain 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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 86% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 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.
- 86% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 231 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.
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
- Jan 5, 20258.7x 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
- Aug 22, 20266.2x 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
- Aug 18, 20263.6x 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
- Aug 20, 20263.0x 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
- Sep 12, 20262.9x their median
Pump fun(@Pumpfun) sold another 77,705 $SOL ($7.88M) 6 hours ago. In total, https://t.co/TcwYRTArT2 has sold 5,188,629 $SOL ($842M) at an average price of $162.3. https://t.co/kyztoJLCjt https://t.co/9K7jprKuxy
- Sep 1, 20262.7x 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
- Sep 5, 20262.6x their median
loracle.hl(@loraclexyz), who lost $70M on $HYPE, keeps adding to his $PONS short. He is now short 17.79M $PONS($16.31M), with an unrealized loss of $6.57M. https://t.co/LGxIJ77eMt https://t.co/XlYnIp5x6z
- Sep 6, 20262.5x their median
Unipcs(@theunipcs)' 10.9M $PONS is now worth over $10.27M! He initially invested just $67.7K to buy 10.9M $PONS and is now sitting on a massive $10.15M unrealized profit — a 150x return! https://t.co/0G2gsAtrDZ https://t.co/AkPM2J9oYX
- Sep 10, 20262.4x their median
Someone still hasn't given up on $LAPTOP. After $LAPTOP crashed 98%, this guy spent $170K to "buy the dip," buying 28,448.72 $LAPTOP at $5.97. It's now worth just $21K — down another 87%. https://t.co/MduOcPiaz6 https://t.co/g0tSR3okzj
- Sep 9, 20262.4x their median
Wintermute received 2.5M $LAPTOP from the Laptop Token team and is now dumping it on-chain. So far, Wintermute has sold 466,255 $LAPTOP ($2.08M) at an average price of $4.47. https://t.co/Dhh7ZfDOuu https://t.co/At9EgpLVSf
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
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 392 interactions against 711K followers, an engagement rate of 0.055%. Measured over 76 original posts, its engagement rate beats 61% 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 71K times each, and 0.55% of those impressions turn into an interaction. That is about 10.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 76 posts sampled, 100% carry an image or video and 86% link out. The account's strongest tracked post pulled 3.4K interactions, about 8.7x its own typical post. Recurring topics include #binance, #ethereum, #bitcoin.
- What is Lookonchain's engagement rate on X?
- Lookonchain (@lookonchain) has an engagement rate of 0.055%, based on the median interactions across 76 original posts from the last 30 days against 711,419 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.055%, Lookonchain 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 @lookonchain have real engagement?
- Its engagement rate beats 61% 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 @lookonchain post?
- Most posts go out around 14:00 UTC, and Wednesday is its busiest day, at roughly 3 posts per day across the measured window.