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Airdrop Blogs engagement report

@airdropblogs - 651K followers on X

Measured over 50 original posts from a 30-day window, last computed on October 4, 2026.

Engagement

Bottom quarter for its size
Per follower
0.001%
of 651K followers
Per impression
0.215%
3.7K views on a typical post
Reach
0.57%
of its followers see a post
Typical post
8
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
2.93/day
active 87% of days
Peak time
01:00 UTC
Sunday

A typical post picks up 8 interactions against 651K followers, an engagement rate of 0.001%. Measured over 50 original posts, its engagement rate beats 13% 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 3.7K times each, and 0.215% of those impressions turn into an interaction. That is about 0.573% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.9 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 01:00 UTC, and Sunday is the busiest day of the week. Of the 50 posts sampled, 72% carry an image or video and 42% link out. The account's strongest tracked post pulled 28K interactions, about 3446x its own typical post. Recurring topics include #coinbase, #crypto, #ethereum.

Measured over 50 original posts from a 30-day window, last computed on October 4, 2026. Recurring tags: #coinbase, #crypto, #ethereum.

Compared with accounts its own size

Airdrop Blogs's engagement rate beats 13% 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 16% 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 0.001%, Airdrop Blogs sits below the 10th percentile of the 204,694 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,694 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,880 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 percentile0.677%
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 01:00 UTC, and Sunday 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: 01:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 01:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 video72% of posts+111%+108% to +115%34K
Outbound link42% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 72% 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.
  • 42% 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 381 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

  • Sep 28, 20263446x their median

    Trump’s visit to the aliens’ planet 👽🛸 https://t.co/3bszQtIX8m

    24K2.8K3263672.8M viewsView on X
  • Oct 4, 20262013x their median

    More orange than ever. https://t.co/on52TtcFO1

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  • Sep 22, 2026144x their median

    Just 2 cool dudes at the lobby https://t.co/Uv83XAAfsT

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  • Aug 27, 202696x their median

    From Digital Twins to Data Engine: Cutting the Real-Data Burden with Sim-Powered Robot Learning Teaching a robot a new task could take hundreds of teleoperated demonstrations. For foundation models, adapting to an entirely new robot can cost orders of magnitude more — dedicated hardware, trained operators, months of engineering. On @boosterobotics' dual-arm robot, we studied this at two levels: ✱ Specialist: Can task-aligned simulation mixed with a small set of real demonstrations reduce the real-data burden? ✅ Yes. With only 10 real demos, the policy made no contact at all in physical rollouts (0/20). Adding 50 simulated trajectories brought contact to 17/20. ✱ Foundation: Can data accumulated across tasks build a reusable starting point (a Booster-specific model prior)? ✅ Yes. After full-parameter continued pretraining, a model adapted with just 30 demonstrations per task beat the original given twice as many: 14/16 vs 10/16 in simulated evaluation. Before any task-specific adaptation, in zero-shot simulation, it was already roughly 3× closer to the target (17.27 cm → 5.78 cm). This work runs on Axis Suite, our Physical AI solution across different robot embodiments. Distributed contributors generate task-aligned sim data on Axis Hub at scale, reducing real-data needs for specialist adaptation while powering cross-embodiment generalist training. Read the full blog: https://t.co/gRVi2LZnaJ

    473671368876K viewsView on X
  • Jul 28, 202625x their median

    🪂 Join the Dow Protocol Points Program and start earning DOW Points and XP @DowProtocol Dow Protocol brings real-world merchant financing on-chain, delivering sustainable yield through RWA-backed lending. • Funding: $9M • Backers: MH Ventures, OKX and more... Register here: https://t.co/HDV6ytmtyh Guide: - Connect your EVM wallet - Connect X and Telegram - Complete available tasks to earn XP - Bind code: DPTJA - Earn and accumulate DOW Points - DOW Points track your contribution and reward weight within the ecosystem.

    1404714231K viewsView on X
  • Aug 21, 202624x their median

    https://t.co/IQdSBMiCPx

    15126016123K viewsView on X
  • Aug 26, 202618x their median

    Whether you use Codex, Claude Code, OpenClaw, or any other AI agent—trader, coder, UI designer, data analyst, or health expert—if it can provide a service, it can earn. Give your agent one command: help me install https://t.co/2YKl8Jm4lS (https://t.co/pLpzHJ205c) Let it start taking paid jobs onchain.

    997261345K viewsView on X
  • Jul 31, 202615x their median

    🪂 Pond Points Farming! @JoinPond Pond builds crypto-native AI models powered by on-chain data, offering a unified ecosystem for data, training, inference, and model commercialization. • Funding: $7.5M • Backers: Coinsbase, Cyber Fund and more... Guide - Register here: https://t.co/onFndGblvx - Go to "My Points" Section - Complete available tasks - Bind your X and Wallet - Join Competition to earn more points

    98220120K viewsView on X
  • Jul 24, 202615x their median

    🪂 Cambria Airdrop is Live! @playcambria Cambria raised $5.5M, and $RSGP is set to launch in August. Free Loot Chests • Check your on-chain activity • Claim costs 0 • Eligible wallets receive $RSGP at TGE Genesis Airdrop • Around 0.1 USDC per dungeon run • Extract loot → Cash out → Earn airdrop points • Extra points from Duel Arena & side games Getting started: - Create an account https://t.co/V9I9Xv1aXN - Link your EVM, Solana & Abstract wallets - Claim eligible Loot Chests - Fund a little USDC on Abstract - Farm dungeons and stack points Skill beats capital. A smart player can outperform a whale.

    93216124K viewsView on X
  • Sep 1, 20267.1x their median

    🪂 MemeBitcoin Airdrop is Live! @1096361BTC MemeBitcoin is a Bitcoin-inspired community project focused on memes, Satoshi’s legacy, and expanding Bitcoin culture. It uses a “Proof-of-Viral” model to reward community participation. • Funding: $8M • Backers: M2M Capital, Archer Capital and more... Points are expected to be converted into airdrop tokens based on the project’s future distribution mechanism How to Join? Register here: https://t.co/AfxFvqZyLt - Signup your X - Complete the required tasks - After completing the required tasks, you’ll be redirected to the main page. - CRACK 10 times daily to earn points - Complete Daily Tasks in Missions for more points

    36154210K 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

#coinbase#crypto#ethereum#stablecoins

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 8 interactions against 651K followers, an engagement rate of 0.001%. Measured over 50 original posts, its engagement rate beats 13% 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 3.7K times each, and 0.215% of those impressions turn into an interaction. That is about 0.573% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.9 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 01:00 UTC, and Sunday is the busiest day of the week. Of the 50 posts sampled, 72% carry an image or video and 42% link out. The account's strongest tracked post pulled 28K interactions, about 3446x its own typical post. Recurring topics include #coinbase, #crypto, #ethereum.

What is Airdrop Blogs's engagement rate on X?
Airdrop Blogs (@airdropblogs) has an engagement rate of 0.001%, based on the median interactions across 50 original posts from the last 30 days against 650,733 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Airdrop Blogs sits below the 10th percentile of the 204,694 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 @airdropblogs have real engagement?
Its engagement rate beats 13% 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 @airdropblogs post?
Most posts go out around 01:00 UTC, and Sunday is its busiest day, at roughly 2.93 posts per day across the measured window.

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