Bruce J engagement report
@BTCBruce1 - 160K followers on X
Measured over 20 original posts from a 30-day window, last computed on September 21, 2026.
Engagement
A typical post picks up 230 interactions against 160K followers, an engagement rate of 0.139%. Measured over 20 original posts, its engagement rate beats 65% of 21,624 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 41K times each, and 0.564% of those impressions turn into an interaction. That is about 25.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.1 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 00:00 UTC, and Monday is the busiest day of the week. Of the 20 posts sampled, 30% carry an image or video. The account's strongest tracked post pulled 4.5K interactions, about 19x its own typical post.
Measured over 20 original posts from a 30-day window, last computed on September 21, 2026.
Compared with accounts its own size
Bruce J's engagement rate beats 65% of the tracked X accounts closest to it in follower count (21,624 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 28% 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 0.139%, Bruce J sits above the 25th percentile of the 217,745 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.149%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.149% |
| 75th percentile | 0.704% |
| 90th percentile | 2.63% |
| 99th percentile | 82.5% |
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 00:00 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.
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 | 30% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 30% 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 232 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 8, 202619x their median
印象中，第一次看到这个视频的时候，我还在读初中。 那时候看，只觉得长者仗势欺人，一个记者被权力压得抬不起头来。 很多年以后再回头看，倒也慢慢能理解他当时的无奈。 但无奈归无奈，这个世界能没有记者吗？ 当然不能。 媒体和记者，本来就是社会监督体系的一部分。权力不喜欢被监督，这很正常；但一个社会不能因为权力不喜欢，就没有监督。 我们这代人年轻的时候，没少拿长者开玩笑。 尤其是在我们老家，三英、蛤蟆等等，都是大家茶余饭后的谈资。 可许多年以后，在扬州，当人们再次提起长者时，听到更多的反而是对他支持家乡建设的感激。 一个人在不同的时代、不同的位置、不同的人眼里，本来就会有完全不同的面貌。 外网对长者的评价也是如此，褒贬不一。 贬他的那些内容，我这些年在 YouTube 上基本都看过。几大主题里面，“贪腐”大概永远排在最前面。 今天我对“贪污”这件事有了一些新的理解。 我甚至觉得，对权力的滥用，可能是写在人性底层代码里的一项“技能”。 当然，这绝不是什么好技能。 只是当一个人掌握了可以为自己、家人、朋友或者利益共同体谋取便利的权力时，要求他永远完全克制这种冲动，本身就是一件反人性的事情。 私企如此，国企如此，政府机构如此，公益基金和非营利组织其实也一样。 权力本身不会自动带来腐败，但不受约束的权力，一定会不断诱惑人去越界。 更不要说一个国家的最高领导人。 放眼今天的世界，无论美国，还是欧洲、南美，那些被包装成明星、改革者、政治偶像的领导人，本质上首先都是人。 今天把我们任何一个人放到总统、总理，或者一家大公司的最高权力位置上，如果没有监督、没有制衡，谁又真的敢保证自己永远不会越过那条线？ 想明白这一点以后，豁然开朗了很多。 年轻时，我们喜欢用几个标签去定义一个人。 年纪大一些才发现，历史人物，很难用一个标签说清楚。 长者的功与过，自然不必由我们这一代人盖棺定论。 还是应该交给时间，交给历史。
- Sep 9, 202613x their median
LMAO https://t.co/eyfqmUqKq3
- Sep 14, 202613x their median
财富的第一性原理是积累，不是暴富。 机会的第一性原理是趋势，不是撞大运。 社交的第一性原理是价值交换。 成功的第一性原理是试错。 竞争的第一性原理是制造差异化。 利润的第一性原理是成本控制。 管理的第一性原理是激发潜力。
- May 19, 20269.9x their median
This story is immensely touching and is going massively viral in China. It's also a pretty good soft signal that China is taking warming ties with the U.S. sincerely. This lady 👇 is called Yin Yuzhen (殷玉珍) and she lives in a place called Jǐngbèitáng (井背塘) in Inner Mongolia - deep in the heart of the Mu Us (毛乌素) Desert, a place whose name literally translates from Mongolian as "bad (lacking) water". In 1985, aged 19, she and her husband were really desperate by the encroaching desert: sandstorms would seal their door shut overnight and literally threaten to bury them alive. She was crying every day and considered ending her life. However, her defiant spirit prevailed and she decided to fight the desert, saying she'd "rather die planting trees than let the sand bully me to death" (宁可种树累死，也不让沙子欺负死) In 1986, they traded the family's most valuable possession - a sheep - for 600 tree seedlings. Fewer than 10 survived, but they saw hope. Her husband Bái Wànxiáng (白万祥) took manual labor jobs and asked for tree seedlings instead of wages. In 1999, Yin Yuzhen's story made it into national news on CCTV. An American named Ronald Sakolsky - originally from Pittsburgh, Pennsylvania - who was teaching English as a foreign instructor at Luoyang Foreign Language School (洛阳外国语学校) in Henan province, was deeply moved. He immediately started sending emails to multiple American organizations to raise $5,000 for her. The $5,000 was sent through a Beijing-based foundation. In the video 👇, Yin Yuzhen recalls receiving it: "I had never seen that much money in my life - it scared me half to death." She spent every cent on higher-quality seedlings than she'd ever been able to afford. Shortly after, Sakolsky traveled to the Mu Us desert in person. He found her out in the sand, planting. Seeing green where he'd expected only desert, he kept saying "impossible, impossible." With Sakolsky's $5,000 alone, Yin Yuzhen planted 50,000 seedlings which have now become a forest. Over her entire life, since the 1980s, her life's work stands at over two million trees planted, transforming almost 50 km² (roughly 80% of Manhattan) of desert into green land. Yin Yuzhen was awarded the 全国劳模 (National Model Worker), one of China's highest civilian honors. Seeing her video titled 寻找赛考斯 ("Searching for Sakolsky") and the incredible impact it was having on Chinese social media, journalists from Inner Mongolia's Benteng Media (奔腾融媒) tracked Sakolsky down by going to the Luoyang No. 2 Foreign Language Academy and finding the Headmaster Bai Fan, who was Sakolsky's former colleague. Bai Fan connected with Sakolsky by phone on the spot, shot on video by the journalists (my 2nd video 👇), inviting him back to China to see what his $5,000 became. This was 2 days ago on May 17th so you can bet that a Sakolsky visit to China will be arranged soon and that this will be one of the biggest pieces of US-China public diplomacy this year. Now this story coming out and being amplified right after Trump's visit is of course no coincidence, we shouldn't be naive: what better way to translate the warmth from the visit than letting a desert grandmother in a red headscarf tell the internet she's looking for her American friend? That doesn't make the story any less real or any less touching. In fact this story is the perfect reminder that countries don't have friends, but people do. And when countries remember this, deserts turn green.
- Sep 10, 20268.2x their median
a chinese guy dm'd me on telegram in december said he runs a private DC in shenzhen. liquid-cooled nodes. 8x RTX 5090 per box. "very cheap, $0.19/hour per GPU, no KYC, USDT only" i laughed. then i did the math 8 GPUs x $0.19 x 720 hours = $1,094/month per node vs renting equivalent compute on RunPod or vast ai: ~$1.10/hour per card so i rented 2 nodes, built a janky inference resale layer over a weekend (claude wrote 80% of it), dropped it into a small ML discord i was already in price i charged: $0.72/hour per GPU gross that month: ~$8,294 DC cost: $2,188 my VPS routing layer: $140 telegram chaos tax (fielding support dms at 3am): priceless NET: somewhere around $5,900 the setup: - they send you SSH access after USDT clears, no contract, no paperwork, nothing - liquid cooling is REAL but the photos they sent looked like a science experiment gone wrong - uptime was 98.3% that month, one outage killed ~$310 in revenue - they have like 40 of these nodes apparently. family operation. dad and two sons month 2 i scaled to 4 nodes month 3 one of my resale clients went dark owing me $600 so yeah, not all smooth. but the margin is genuinely stupid if you have the customers the whole thing runs on 3 python scripts, a telegram bot, and trust in a stranger from shenzhen i've never met IRL crypto is wild man
- Sep 5, 20264.3x their median
佩洛西炒股好厉害，跟单胜率99%
- Sep 3, 20263.5x their median
AI是一个你越研究越上头，越研究越想All in进去的行业。遍地是黄金，处处是机会，又一个最好的年代来了。
- Sep 8, 20262.0x their median
我被敲诈了！ 我已正式委托美国/中国两地律师，对相关 X 账号、聊天记录及其他证据进行取证，并准备启动下一步法律程序。 我实名举报并指控的相关人员： DarcyAri / 牛子烨 652801********001X 2003年的，确实很年轻。 没办法，真是你们逼我的。 你们这些年轻人，每天都想搞点大新闻。 昨天还在帮“汇旺”推广业务， 今天摇身一变，又成了“安全公司”CMO。 据我目前了解到的信息，其所在团队与 @mirrorzk 相关公司存在关系。 如果属实，我只能说：贵司这种业务开展方式，是不道德的。 前几个月我们刚给贵司充值过 4000U。 我们小家小业，确实买不起你们太多服务。 动不动就是 10万U，这谁付得起？ MSX本来也没多少用户， 华语市场现在也已经不是我们的重心区域。 实在不值得诸位花这么多精力来折腾我们。 说句难听的， 活这么大了，什么三教九流我没见过。 本来不想把事情做到这一步。 既然有人选择用这种方式做生意，那就把证据、人物、公司和事情经过，一件一件摆到台面上讲清楚。 你们啊，我只能说： too young, too simple, sometimes naive.
- Sep 9, 20262.0x their median
Costco随便买一车东西$600 疫情前同样一车只需要$200 美国物价已经疯了
- Sep 11, 2026
9月加息25bp几乎没什么悬念了 加50bp也不是没有可能 如果真加50 反而是给个非常不错的捡漏机会 如果9月只加25bp 10月底还会继续加25bp 那从9月到年底基本都是这样上上下下 更期待中期选举之后的行情
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 230 interactions against 160K followers, an engagement rate of 0.139%. Measured over 20 original posts, its engagement rate beats 65% of 21,624 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 41K times each, and 0.564% of those impressions turn into an interaction. That is about 25.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.1 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 00:00 UTC, and Monday is the busiest day of the week. Of the 20 posts sampled, 30% carry an image or video. The account's strongest tracked post pulled 4.5K interactions, about 19x its own typical post.
- What is Bruce J's engagement rate on X?
- Bruce J (@BTCBruce1) has an engagement rate of 0.139%, based on the median interactions across 20 original posts from the last 30 days against 160,406 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.139%, Bruce J sits above the 25th percentile of the 217,745 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 @BTCBruce1 have real engagement?
- Its engagement rate beats 65% of the tracked X accounts closest to it in follower count (21,624 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 @BTCBruce1 post?
- Most posts go out around 00:00 UTC, and Monday is its busiest day, at roughly 1.13 posts per day across the measured window.