Lepchas engagement report
@Lepchas_ - 156K followers on X
Measured over 35 original posts from a 30-day window, last computed on September 23, 2026.
Engagement
A typical post picks up 21 interactions against 156K followers, an engagement rate of 0.013%. Measured over 35 original posts, its engagement rate beats 23% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 1.2K times each, and 1.74% of those impressions turn into an interaction. That is about 0.772% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 02:00 UTC, and Tuesday is the busiest day of the week. Of the 35 posts sampled, 37% carry an image or video, 6% are part of a thread and 26% link out. The account's strongest tracked post pulled 92 interactions, about 4.4x its own typical post. Recurring topics include #tgif, #ufc331.
Measured over 35 original posts from a 30-day window, last computed on September 23, 2026. Recurring tags: #tgif, #ufc331.
Compared with accounts its own size
Lepchas's engagement rate beats 23% of the tracked X accounts closest to it in follower count (20,444 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 57% 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 0.013%, Lepchas sits above the 10th percentile of the 205,475 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
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 02:00 UTC, and Tuesday 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 | 37% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 26% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 37% 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.
- 26% 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 192 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
- Sep 14, 20264.4x their median
we’re selling space on our clothes. and taking Web3 brands with us across 5 major crypto events in Mumbai. yes, we’re making our outfits part of the marketing. every event. every photo. every video. every conversation. your brand comes with us. 2 people. 1 campaign. 25 brands. we’re turning ourselves into walking billboards for Web3. and while everyone’s talking about Singapore right now, we’re betting on Mumbai. 🇮🇳 5 events. One packed Web3 week. 25 limited spots. your logo. on us. IRL. want your brand on the outfit? → https://t.co/SUgfPNe1Bu featuring: @IBWofficial · @SuperteamIN · @EFDevcon · @UnchainedSummit · @ETHGlobal which Web3 brand should claim a spot? 👀👇
- Sep 21, 20262.2x their median
var mode on @variational_io has crossed $3B in daily trading volume. btw, at @HyperliquidX FDV & 25% airdrops, it will be huge ~$2200 / point. Hold your breath ! https://t.co/Wl3gaxbqVP
- Sep 20, 20262.2x their median
I’m super bullish on @variational_io & You ?
- Sep 21, 20262.0x their median
var mode on https://t.co/MCSK2eIdgo
- Sep 22, 20261.8x their median
These 18 traders have already become Millionaires from @variational_io Are you one of them ? Variational will be generational !! https://t.co/iZyFf7UhnL
- Sep 22, 20261.8x their median
Know the whales of @variational_io 1. @lynn000333 2. @linenmito 3. @onchainmonk 4. @CallumOnCrypto 5. @chivasxbt 6. @xkfai 7. @ElNachoCrypto Anyone else I’m missing?
- Sep 22, 20261.8x their median
My X network is getting bigger, better, and highly valued. Thank you for being part of my journey. If you see yourself here, stop to say hello.. https://t.co/spqqvai8at
- Sep 19, 20261.7x their median
Wondering if to start trading on @TxFlow_L1 or not. Need perps expert opinion & TXFLOW ref (if recommended )
- Sep 23, 20261.7x their median
One of the high-profile trader from our Lepchas traders gang is absolutely crushing the @Lighter_xyz × @RobinhoodApp trading campaign. 🔥 The volume is getting serious. 👀 Think you can beat his numbers? https://t.co/H4QiZ2eOpE
- Sep 17, 20261.6x their median
Var Mode On. Afer reading D,H,4H,M chart, drawing lines etc etc... When I place SHORT order, This has happen... This happens always :-) https://t.co/WrBX0VvI4b
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 21 interactions against 156K followers, an engagement rate of 0.013%. Measured over 35 original posts, its engagement rate beats 23% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 1.2K times each, and 1.74% of those impressions turn into an interaction. That is about 0.772% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 02:00 UTC, and Tuesday is the busiest day of the week. Of the 35 posts sampled, 37% carry an image or video, 6% are part of a thread and 26% link out. The account's strongest tracked post pulled 92 interactions, about 4.4x its own typical post. Recurring topics include #tgif, #ufc331.
- What is Lepchas's engagement rate on X?
- Lepchas (@Lepchas_) has an engagement rate of 0.013%, based on the median interactions across 35 original posts from the last 30 days against 156,010 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.013%, Lepchas sits above the 10th percentile of the 205,475 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 @Lepchas_ have real engagement?
- Its engagement rate beats 23% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom quarter for its size 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 @Lepchas_ post?
- Most posts go out around 02:00 UTC, and Tuesday is its busiest day, at roughly 1.93 posts per day across the measured window.