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Salsabil ⚒⚡️ engagement report

@slsbl_eth - 105K followers on X

Measured over 1 original post from a 30-day window, last computed on October 13, 2026.

Engagement

Per follower
0%
of 105K followers
Per impression
0%
2.6K views on a typical post
Reach
2.42%
of its followers see a post
Typical post
0
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.2/day
active 17% of days
Peak time
12:00 UTC
Thursday

Early reading. We have captured 1 original post for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 0 interactions against 105K followers, an engagement rate of 0%. Posts are seen about 2.6K times each, and 0% of those impressions turn into an interaction. That is about 2.43% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 12:00 UTC, and Thursday is the busiest day of the week. The account's strongest tracked post pulled 3.7K interactions. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 1 original post from a 30-day window, last computed on October 13, 2026.

Where this sits in the catalog

At 0%, Salsabil ⚒⚡️ sits below the 10th percentile of the 220,347 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.026%.

p100.004%
p250.026%
p50 (median)0.15%
p750.706%
p902.64%
p9982.4%
Engagement rate as a share of followers, across the 220,347 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 21,696 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 percentile0.026%
50th percentile0.15%
75th percentile0.706%
90th percentile2.64%
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 12:00 UTC, and Thursday 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video0% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 0% 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.
  • 0% 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 57 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 8% below 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

  • Sep 21, 2025

    🤔 https://t.co/QFIcU9Z95P

    2.3K2121.1K101392K viewsView on X
  • Aug 6, 2025

    Gradient’s Beta Event #1, a resounding success. https://t.co/G4SeWti8g0

    22157431881K viewsView on X
  • Aug 9, 2025

    New highs are forming potentially for $GRAY. Alts are just stretching before the real run and with $GRAY's utility? You can’t fade it. Right now, it’s moving inside this range and getting ready for a big break out! ETH has already cleared $4.2k so this setup could be next to pop. Next up: the final beta event of Gradient’s release rollout. This is just one of them. More catalysts are coming. @useGradient is ready for the bull!

    92182225.2K viewsView on X
  • Jul 3, 2025

    🚨 Still not monetizing your community? Why? Your holders deserve something real to HOLD.👕 You deserve visibility beyond Web3. 🌍 And your project deserves that sweet extra $$$ 💸 It’s a win-win-win. Use the royalties to reward your community or fund development , your call. Start today 👉🏼 https://t.co/h0JQ8ONwU3

    461419214K viewsView on X
  • Aug 17, 2025

    🤖Stack Hub Incoming. https://t.co/cZ5R2ZEvpi

    5038311K viewsView on X
  • May 16, 2026

    $AORA might be one of the most underrated real-world crypto uses. $AORA is also the first token to file a @Blockworks B-1 prior to lauch. They’re building a real on-chain Airbnb model through AO Protocol. The core idea is simple: Traditional platforms like Airbnb and Booking. com hold customer booking funds for weeks or even months before hosts get paid. This “booking float” generates massive hidden value for platforms while hosts wait for liquidity and still pay 15–20%+ in fees. @AtlasOraFi turns that entire process on-chain. Instead of sitting idle inside corporate bank accounts, booking funds are locked in non-custodial smart contracts on Base and deployed into DeFi yield strategies like Aave. That yield is then used to: • reduce platform fees • improve host payouts • support protocol revenue • create value accrual for $AORA holders What makes it interesting is the UX layer. Guests can still book using familiar payment methods like credit cards or bank transfers without needing crypto knowledge, while the backend settlement runs fully on-chain through stablecoins like USDC and EURC on Base. Some key mechanics: • ~5.7% total protocol fees vs Airbnb’s ~15–20%+ • Hosts can receive funds earlier instead of waiting weeks • Transparent on-chain escrow and payment settlement • On-chain dispute resolution through $AORA jurors • Booking liquidity becomes productive DeFi capital instead of dead float The dispute system is also pretty unique. If conflicts happen between guests and hosts, $AORA holders can participate as jurors and vote on outcomes, earning rewards for honest participation while reducing chargeback abuse and centralized moderation costs. Current focus is Spain’s short-term rental market before expanding further across Europe. Feels like one of the few TravelFi/RWA projects actually trying to solve a real cash flow inefficiency instead of just tokenizing narratives.

    452926.2K viewsView on X
  • Aug 12, 2025

    Loaded up on $ZKAI under $3M MC! ATH was $18M and the team’s cooking some wild tech behind the scenes. Big stuff coming… just a matter of time before this thing sends past ATH and keeps going.

    82302.0K viewsView on X
  • Aug 1, 2025

    Buying $GRAY and I’ve seen firsthand what this protocol is capable of. This isn’t just another DEX. It’s a next-gen trading infra built with precision. Here’s what stood out to me: 🔹 CEX-style order book with full on-chain order history — persistent across sessions 🔹 Real-time display of token availability across Flash & Matching Layers 🔹 A proprietary Fallback Layer — think 1inch, but fully native to $GRAY 🔹 Every trade shows your actual savings thanks to zero price impact 🔹 UI is clean, intuitive — optimized for serious users The best part? It’s all verifiable. Not just pretty front-end tricks — this is real on-chain logic in action. If you’re serious about DeFi, you need to understand the scale of value $GRAY can unlock for traders and protocols alike. This is the type of protocol others will benchmark against. Adoption is inevitable whether you’re a trader, builder, or investor, $GRAY is a name you’ll hear a lot more of.

    7510526 viewsView on X
  • Sep 21, 2025

    $PRICELESS IS THE NEXT $USELESS

    20213.1K viewsView on X
  • Sep 29, 2025

    $Useless is looking good as well for riding it to 30 cents

    20101.3K 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 0 interactions against 105K followers, an engagement rate of 0%. Posts are seen about 2.6K times each, and 0% of those impressions turn into an interaction. That is about 2.43% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 12:00 UTC, and Thursday is the busiest day of the week. The account's strongest tracked post pulled 3.7K interactions. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Salsabil ⚒⚡️'s engagement rate on X?
Salsabil ⚒⚡️ (@slsbl_eth) has an engagement rate of 0%, based on the median interactions across 1 original posts from the last 30 days against 105,469 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0%, Salsabil ⚒⚡️ sits below the 10th percentile of the 220,347 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 @slsbl_eth have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @slsbl_eth post?
Most posts go out around 12:00 UTC, and Thursday is its busiest day, at roughly 0.2 posts per day across the measured window.

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