Back to @bitfish's profile

DiscusFish engagement report

@bitfish - 224K followers on X

Measured over 8 original posts from a 30-day window, last computed on October 2, 2026.

Engagement

Middle of its size range
Per follower
0.197%
of 224K followers
Per impression
0.593%
74K views on a typical post
Reach
33.2%
of its followers see a post
Typical post
439
interactions (median)
Saved
0.101%
75 bookmarks on a typical post
Posting rate
0.47/day
active 30% of days
Peak time
03:00 UTC
Saturday

A typical post picks up 439 interactions against 224K followers, an engagement rate of 0.197%. Measured over 8 original posts, its engagement rate beats 71% 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 74K times each, and 0.593% of those impressions turn into an interaction. That is about 33.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.47 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 03:00 UTC, and Saturday is the busiest day of the week. Of the 8 posts sampled, 63% carry an image or video and 38% are part of a thread. The account's strongest tracked post pulled 2.3K interactions, about 5.2x its own typical post.

Measured over 8 original posts from a 30-day window, last computed on October 2, 2026.

Compared with accounts its own size

DiscusFish's engagement rate beats 71% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 30% 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 0.197%, DiscusFish sits above the 50th percentile of the 204,798 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,798 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,879 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 03:00 UTC, and Saturday 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: 03:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 03:00 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: Saturday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Saturday
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 video63% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 63% 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 134 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

  • Dec 10, 20255.2x their median

    昨天被小朋友问了个灵魂问题:怎么赚钱? 我说:交易。 他又问:交易是什么? 本想说"低买高卖",但这太表面了。 想了一晚上,最诚实的答案: 世界充满不一致——信息不对称、时间偏好不同、未来不可知。 交易者的工作,就是承担别人不愿承担的不确定性,在这些裂缝中建立连接。 最高级的交易者,交易的不是资产,而是自己的认知边界

    1.7K38717047270K viewsView on X
  • Jul 17, 20262.7x their median

    本周把海力士砸出十八年最大单日跌幅的, 不是空头研报,是强平算法。 首尔的追保线,就是你的波动率 盯住 👇 https://t.co/Kwitq2sh21

    88018111125584K viewsView on X
  • Sep 5, 20262.4x their median

    借 GPT-6 发布,回头审了一遍这大半年搭的 各种AI 系统模块。大概有六个主题,初步跑通了生活全链路: 人生导航——规划、周复盘、盲区与情绪管理。群友启发的思路,意外好用 信息管道——输入、整理、加工、沉淀成wiki笔记。信息不过系统,等于没进过脑子 健康中枢——穿戴、基因、血检、甲基化,散点连成图,问题自己浮出来 投研引擎——自动抓市场异常、初筛分析、管理标的与持仓。机器做侦察,人做判断 输出锻造——所思所感过一遍 AI,落成文章、PPT、可交付物 物品管理——选品、渠道验证、买入反馈、日常运维。连买东西都跑系统了 六个模块,一个闭环:信息进来,处理成判断,判断变行动,行动产生数据,数据回流系统。闭环是通了,但每一环都还毛糙,全在迭代中 小朋友的教育还没成型。反馈周期十年起,对象是个活人——最难系统化的一块,可能也是最不该急着系统化的一块 大家手里有什么好用的工具、跑通的系统,推荐推荐,一起迭代,一起成长

    73111818210112K viewsView on X
  • Sep 26, 20261.8x their median

    丢给 Opus 5.5 一句话,它花了几个小时,烧掉 3 亿+ token,直接生成了一个视频。强得可怕 再想象一下:未来生成速度再快几个数量级,脑机接口一接,VR 一戴,脑海里的世界就能在眼前实时渲染 那时就不是「看视频」了,而是直接走进自己的想象 https://t.co/x3oSHQH2Ep

    60490782197K viewsView on X
  • Jun 7, 20261.7x their median

    真正的高手,是个分裂人格:在生存层极度保守,在机会层极度激进

    5828067554K viewsView on X
  • Jun 25, 2026

    做投资要有常识:合同是可以违约的,债务是可以协商的,公司是可以破产的。你当成基石的东西,往往只是概率 https://t.co/nNHDAeF9kh

    4336491948K viewsView on X
  • Jul 12, 2026

    财富自由最难的,从来不是积累足够多的财富 而是获得一种二阶能力: 你不仅能选择下一步做什么,还能撤销那个一直替你做选择的目标函数。 这才是“自由”最容易被忽略的另一半。 第一层自由,是不必为了钱去做什么。 第二层自由,是即使最擅长继续赚钱,也不再需要靠它证明自己。 前者可以用财富购买。 后者,只能由主体性亲自签发。 钱能替你赎身。 但只有你,能终止服役

    43263751353K viewsView on X
  • Sep 8, 2026

    我对 ZEC 是真有阴影 2016 年ZEC主网上线,BitMEX 把价格上限写死在 了10 BTC,也就成了ATH, 一个ZEC十个比特币, 上线那晚,刚挖了一小会,一道闪电劈了我显卡矿场的变压器 从那以后,个人钱包里再没出现过 ZEC

    3971514711146K viewsView on X
  • Mar 17, 2025

    背景 MSTR通过巧妙的设计,将比特币的高波动率放大2.5倍传递给美股市场: 专业机构(对冲基金、债券投资者和期权交易者)利用高波动性进行波动率套利,捕捉短期利润。 MSTR公司通过出售可转债和ATM增发获得现金,用于大量囤币。 普通股东承受因高波动性及ATM增发砸盘带来的剧烈股价波动和短期下跌风险。被动捕获每股比特币增多的“BTC Yield”,即短期波动换取长期筹码。 BTC holder捕获持续的市场资金流入和比特币价格上涨。 那么问题来了,谁亏了?

    381828915235K viewsView on X
  • May 17, 2026

    财富是一种「现实距离税」 每多一笔财富, 你和现实的默认距离就拉远一截。 这是结构性的,不分人 财富越多, 默认你越听不见反对声音, 默认你越触碰不到原始反馈。 如果你不主动缩短这个距离 你的纠错能力会按财富的对数衰减

    390556514104K 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.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 439 interactions against 224K followers, an engagement rate of 0.197%. Measured over 8 original posts, its engagement rate beats 71% 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 74K times each, and 0.593% of those impressions turn into an interaction. That is about 33.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.47 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 03:00 UTC, and Saturday is the busiest day of the week. Of the 8 posts sampled, 63% carry an image or video and 38% are part of a thread. The account's strongest tracked post pulled 2.3K interactions, about 5.2x its own typical post.

What is DiscusFish's engagement rate on X?
DiscusFish (@bitfish) has an engagement rate of 0.197%, based on the median interactions across 8 original posts from the last 30 days against 223,952 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.197%, DiscusFish sits above the 50th 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 @bitfish have real engagement?
Its engagement rate beats 71% 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 @bitfish post?
Most posts go out around 03:00 UTC, and Saturday is its busiest day, at roughly 0.47 posts per day across the measured window.

Keep going