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小众软件 engagement report

@appinn - 129K followers on X

Measured over 40 original posts from a 30-day window, last computed on October 2, 2026.

Engagement

Bottom 10% for its size
Per follower
0.001%
of 129K followers
Per impression
0.025%
4.0K views on a typical post
Reach
3.12%
of its followers see a post
Typical post
1
interactions (median)
Saved
0.075%
3 bookmarks on a typical post
Posting rate
1.33/day
active 20% of days
Peak time
05:00 UTC
Monday

A typical post picks up 1 interaction against 129K followers, an engagement rate of 0.001%. Measured over 40 original posts, its engagement rate beats 3% 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 4.0K times each, and 0.025% of those impressions turn into an interaction. That is about 3.12% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 05:00 UTC, and Monday is the busiest day of the week. Of the 40 posts sampled, 28% carry an image or video and 100% link out. The account's strongest tracked post pulled 31 interactions, about 31x its own typical post.

Measured over 40 original posts from a 30-day window, last computed on October 2, 2026. Recurring tag: #发现频道.

Compared with accounts its own size

小众软件's engagement rate beats 3% 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 3% 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%, 小众软件 sits below the 10th percentile of the 205,261 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%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,261 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.678%
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 05:00 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: 05:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 05:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video28% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 28% 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.
  • 100% 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 80 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% 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

  • Oct 1, 202631x their median

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  • Sep 30, 202631x their median

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  • Sep 27, 202616x their median

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    151004.1K viewsView on X
  • Sep 29, 20267.0x their median

    🎺 #发现频道 【开发者自荐】easy-stock:在电脑上整理 A 股行情、复盘和 AI 研究 https://t.co/W13rtcTs9e

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  • Sep 29, 20267.0x their median

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    51016.5K viewsView on X
  • Sep 29, 20266.0x their median

    Cloudflare 发布新命令行工具 cf:可让 AI Agent 操作 3000+ 个 Cloudflare API https://t.co/XDKdEnv98G https://t.co/jinVa3EM8X

    41014.2K viewsView on X
  • Sep 29, 20265.0x their median

    ylih 耳机里程表:用了多久、续航掉多少,记录蓝牙耳机的一生[安卓开源] https://t.co/7l47w7obVo https://t.co/ieNng3hH0i

    40104.1K viewsView on X
  • Sep 28, 20265.0x their median

    AI 编程卷起来了:OpenCode、Command Code 都在 $10 套餐里送 6 倍 DeepSeek V4.1 Flash 额度 https://t.co/iSrS9oleWi https://t.co/aouKXQ0kvr

    10403.7K viewsView on X
  • Sep 30, 20264.0x their median

    还记得奔腾、赛扬、Voodoo 吗?用 86Box 重新组一台老电脑|硬件级 x86 模拟器 https://t.co/3RQ27iUMir https://t.co/99hSEex8aC

    40004.1K viewsView on X
  • Sep 28, 20264.0x their median

    🎺 #发现频道 【开发者自荐】携程酒店对比助手:多酒店房型参数横向对比与一键导出 Excel https://t.co/k906vPRiPd

    40004.1K 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

#发现频道

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 1 interaction against 129K followers, an engagement rate of 0.001%. Measured over 40 original posts, its engagement rate beats 3% 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 4.0K times each, and 0.025% of those impressions turn into an interaction. That is about 3.12% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 05:00 UTC, and Monday is the busiest day of the week. Of the 40 posts sampled, 28% carry an image or video and 100% link out. The account's strongest tracked post pulled 31 interactions, about 31x its own typical post.

What is 小众软件's engagement rate on X?
小众软件 (@appinn) has an engagement rate of 0.001%, based on the median interactions across 40 original posts from the last 30 days against 128,622 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, 小众软件 sits below the 10th percentile of the 205,261 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 @appinn have real engagement?
Its engagement rate beats 3% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom 10% 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 @appinn post?
Most posts go out around 05:00 UTC, and Monday is its busiest day, at roughly 1.33 posts per day across the measured window.

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