Channel
@ai_9684xtpa
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
6,901subscribers
+1,194 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002213502701 |
|---|---|
| Type | Channel |
| Username | @ai_9684xtpa |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/ai_9684xtpa |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 09:05 | 6,901 | +1,179 |
| 13 Aug 2026, 01:14 | 5,722 | +17 |
| 9 Aug 2026, 22:11 | 5,705 | -2 |
| 6 Aug 2026, 13:21 | 5,707 | no change |
| 6 Aug 2026, 04:18 | 5,707 | first reading |
44 posts held, back to 3 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pagesof Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 8 of 44 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 44 (3 August 2026 – 12 August 2026) |
| Views total | 33,564 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 03:57 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
4 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 75.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 75.0% | |
| 👍 | 1 | 25.0% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 8 of the 44 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 5reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 44 most recent posts we hold, published 3 August 2026 to 12 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
执着的、坚定的、高倍杠杆的，40x 看空 BTC😂 曾开出 1.02 亿美元 $BTC 空单的巨鲸今早三度加仓 1010 BTC，持仓已创新高（1,792.56 BTC），价值 1.14 亿美元，开仓均价更新为 $63,999，目前浮盈 33.5 万美元 仍为 Hyperliquid BTC 第一大规模头寸，传送门 👉 d.pro/portfolio/0xff84dd888d… ————— 链上小说家，关心天气、食物、还有故事。@ai_9684xtpa
Robinhood 再出大金狗，$STONKBROKER 市值接近 1 亿美元，新的幸运儿已经出现📈 彩票流玩家 0x867…b93e8 终于刮出头奖了：以均价 $0.0004373 买入 5080 美元的代币，最早买入点位低至 $0.0001773（现价 $0.03535） 现已浮盈 40.6 万美元，回报率高达 8143.3%，仍在坚定持有中 钱包地址 debot.ai/address/robinhood/0… ————— 链上小说家，关心天气、食物、还有故事。@ai_9684xtpa
4/ 写在最后 Fomo 值得玩吗？仁者见仁智者见智吧 显然它在交易上并不是做得最极致的，很多 Pro 功能都没有，对资深 P 小将而言显得「不够用」；车头策略也只会让有钱有影响力的人变得更有钱，普通用户想混上榜太难了些 但总归是多了个信息源，用来了解海外车头都在玩什么，也算不错 如果你喜欢这篇内容，欢迎点赞 / 评论 / 转发一键三连🥰 ————— 链上小说家，关心天气、食物、还有故事。@ai_9684xtpa
3/ PumpFun 干嘛要高价挖墙脚 Meme 的世界中，车头在哪里，注意力就在哪里 Fomo 通过排行榜 + 主动推流的方式「人为造神」，就是想把车头和新晋聪明钱们都绑在自家平台，人跑了戏还唱得起来吗，参考头部创作者对抖音 / B 站的重要性即可 所以 Pump 着急了，开出每月 3 万刀 + 2w 刀签约奖金的 Offer，配合严苛的排他协议希望让车头们重回 Pump 战壕，包括但不限于删除 Fomo 账号、不得对 Pump 发表负面言论等 ————— 链上小说家，关心天气、食物、还有故事。@ai_9684xtpa
2/ 那不就是聪明钱监控嘛 聪明钱的买卖操作，怎么听起来像是监控功能，很多工具都有类似功能啊？体验下来区别如下 ▶︎ 多链：关注一个账号，自动覆盖 Solana / Base / BSC / Monad / Robinhood / Hyperliquid / Ethereum 七大公链与网络的交易，抹平了多链门槛 ▶︎ 移动端推送：相较 TG / Discord / 网页，App 原生级别的推送无疑是体验最好的 ▶︎ 省力：一个 App 搞定「监控车头 - 发现 Alpha - 跟单买入」流程，不用科学上网，支持 Apple Pay 充值，可别小看省力对懒人的吸引力啊哈哈 最重要的是，其他交易平台大多聚焦于币，而 Fomo 是将聪明钱（或者说车头）视作平台核心，把交易者打造成“网红”，把 Meme 玩成“网红经济”，核心策略是完全不同的 ————— 链上小说家，关心天气、食物、还有故事。@ai_9684xtpa
1/ Fomo 是什么 “像刷 X 一样交易 Memecoin” 这句话似乎能很好的概况 @fomo 的特性，即注重「社交属性」：平台构建了一个「封神榜」，订阅榜单上的聪明钱们，就能在信息流中看到他们的买入 / 卖出 / 发文内容，便于跟单 这是一个 2025.05 才上线的 Meme 交易平台，体验上主打极简和跨链，支持 Apple Pay 直接买币，参考 Moonshot 对海外小白用户的吸引力，Fomo 在这点上也是类似处理 注册传送门 👉 fomo.family/r/Aiaptx ————— 链上小说家，关心天气、食物、还有故事。@ai_9684xtpa
▶︎ 海外第一大 Meme 战壕 ▶︎ 市场份额超越 GMGN ▶︎ 开创 Memecoin 网红 & 社交打法 让 PumpFun「高价挖墙脚」的 Fomo 到底是何方神圣？市场没有常胜将军，那揣着阳谋人造车头的 Meme 战壕，玩还是不玩呢？ —— 五分钟读懂 Fomo 是什么，往下看吧👇👩💻 ————— 链上小说家，关心天气、食物、还有故事。@ai_9684xtpa
「先定 10 个大目标」老哥减仓 2,260 枚 BTC，此前超 400 万美元浮盈接近抹平😶 @Jason60704294 凌晨发推表示在「成本价上方减了三分之二仓位」，此前多单持仓为 3528.152 枚（约 2.25 亿美元），本次减仓后仍剩余 7942 万美元，开仓价 $63967.54 他还重申了对 $BTC 中长期趋势的看好，认为 5.8w 附近是阶段性底部，同时建议不要高杠杆跟单 ————— 链上小说家，关心天气、食物、还有故事。@ai_9684xtpa
❤1
曾开出 1.02 亿美元 $BTC 空单的巨鲸在亏损 81.1 万美元后，选择二次加仓！😬 今天凌晨他加仓 533.02 BTC，将持仓更新至 1313 枚（约 8402 万美元），开仓均价 $64,183，现浮盈 25.1 万美元，仍为 Hyperliquid BTC TOP1 规模头寸 这单从 08.05 开启到现在已经快一周了，昨晚 BTC 于近期首次跌破 6.4w 传送门 👉 d.pro/portfolio/0xff84dd888d… ————— 链上小说家，关心天气、食物、还有故事。@ai_9684xtpa
觉得生活太平淡的话，究极波动放大器来了（不是 币安竟然上线了南方两倍做多海力士和南方两倍做多三星，最高杠杆为 10x，即可 20 倍做多做空海力士和三星！😵 BTW：不建议轻易尝试啊，之前有拆解过这类杠杆 ETF 的原理，可以回顾下 ————— 链上小说家，关心天气、食物、还有故事。@ai_9684xtpa
鬼故事，长鑫存储 TOP1 空军已经付出去 307.8 万刀资金费了🥶 持有 2112 万美元的 1x $CXMT 空单，浮亏 225.5 万美元（入场价 $6.5，现价 $7.28），资金费高达 307.8 万美元 4000 多万刀保证金这样耗也肉疼的吧，好在清算价是 $15.466，这是在赌一波暴跌能赚回来吗？ 传送门 👉 d.pro/portfolio/0xf2925cb077… ————— 链上小说家，关心天气、食物、还有故事。@ai_9684xtpa
价值 3793 万美元的 TWAP 订单已全部成交，20x 全力做多 $SOL 🙌 地址 0x9c6…fa4ed 现已持有 50 万枚 SOL 多单，开仓价 $76.368，浮盈 16 万美元 传送门 👉 d.pro/portfolio/0x9c6a5b4662… ————— 链上小说家，关心天气、食物、还有故事。@ai_9684xtpa
Showing the 12 most recent of 44 posts we hold for @ai_9684xtpa. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank — 5,229 of 1,481,243entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 21 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 16 August 2026 — this entry's latest reading, not the date you are reading this.
“Ai 姨” (@ai_9684xtpa), 6,901 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/ai_9684xtpa.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.