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Channel

一起走向财富之路

@cryptohowe_treasure

On this record: Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

751subscribers

+3 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002388324233
TypeChannel
Username@cryptohowe_treasure
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/cryptohowe_treasure

Growth

748751749.57 August 2026 — 748 subscribers8 August 2026 — 748 subscribers8 August 2026 — 750 subscribers15 August 2026 — 751 subscribers7 August 202615 August 2026
4 measurements spanning 8 days, net +3. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 748–751 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 16:49751+1
8 Aug 2026, 10:21750+2
8 Aug 2026, 02:01748no change
7 Aug 2026, 20:40748first reading

Engagement

20 posts held, back to 25 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
30.2%
avg views ÷ 751 subscribers
Avg views / post
227
3 posts measured
Reaction rate
1.89%
reactions ÷ views · ER floor
Posts in window
3
of 20 held

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 2 of 3 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 30 July 2026
Posts held20 (25 May 202630 July 2026)
Views total681
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 02:01 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.

Reaction mix

44 reactions across 14 posts, in 5 distinct kinds. The most used accounts for 47.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2147.7%
👍2045.5%
🎉12.27%
🔥12.27%
😍12.27%

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 15 of the 20 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 44reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 25 May 2026 to 30 July 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.

Recent posts

30 Jul 2026, 08:45 UTC218 views4 reactionsread 8 August 2026

今天的新币调研 ——— $GRVT @grvt_io CA(BSC): 0x46F2564E0FA8248d15125E7e54173cfbdEf91Be7 CA(ETH): 0xAD29F2723fcdBcF665F210F25E06f97477e417cF alpha 20:00 开盘,已经上了 cb,空投领取时间 21:00 代币初始总量 1B,初始流通约 11.43%(流通来源 CMC) 没有提及具体的解锁比例,TGE 空投 7.4%(直接解锁拿 25%,4 个月拿 50%,8 个月 100%,理论 TGE 抛压为 1.85%),OKX 现货 0.8%,还有 Alpha 份额 基本面是 PerpDEX 核心团队是香港和新加坡团队,没有太多 Crypto Native 背景,但金融背景比较 solid,整体中规中矩 多轮融资拿了 3400w 美金,估值 5.4 亿美金(有一轮的估值是 3900w FDV)

👍21🔥1

27 Jul 2026, 06:34 UTC257 views5 reactionsread 8 August 2026

今天的新币调研 ——— $AEON @AEON_Community CA(BSC): 0x277aDD739c6E0477616948357AF9E79Fe1Ec9B80 alpha 18:00 开盘,空投领取时间未知 代币初始总量 1B,初始流通约 18.8%(流通来源 CMC) 没有提及具体的 tokenomics,alpha 给了 1%(主要抛压应该就这一块) 基本面是面向 Agentic Economy 的结算层,主打 AI Agent 自主支付、真实世界商户收单与跨链结算 看面孔应该是华人团队,联创均有一些 Crypto 背景,整体中规中矩 1 轮融资拿了 800w 美金,Yzi Labs、IDG、Draper Dragon 等投资 平均融资成本这里有两个口径 - 对应 Pre-seed 12.32% 为 6490w FDV,对应价格 0.0649 - 对应 Angel 5% + Pre-seed

5

22 Jul 2026, 12:17 UTC206 viewsread 8 August 2026
Forwarded from @yondcallsbeta

有Monad卡的可以mint一下 https://x.com/monad/status/2077019610956624241

1 Jul 2026, 13:36 UTC578 views4 reactionsread 8 August 2026

昨天推出的 OUSD 可以关注看看后续进展哈,我觉得项目本身应该是没啥太多参与空间 这个的推出更多是作为稳定币/支付赛道的重点事件来看待,同时这项目应该跟 Stripe 以及 Tempo 的关系会更深一些 https://x.com/0xcryptoHowe/status/2072312268688388586 #思考 #OpenStandard

👍3😍1

27 Jun 2026, 02:28 UTC548 views2 reactionsread 8 August 2026

给大家分享一些最近的随思,其实几天前就想写了,硬是拖到昨晚才写完哈哈 本质上其实还是推荐大家一定要有足够的主观能动性去做事情,把流程和理解做到位了,AI 才能起到真正的帮助 且 hands on 做事情和理解相关业务理解其实是互相的,当你对业务有清晰的理解,对流程有足够的把控,那么无论是做个人 Business 的销售,还是产品 Business 的销售,都是会有不小的助力 信息爆炸的年代总会出现大量的“假努力”,每天看了很多“干货”却还是感到无力,每天看了很多书却还是感到迷茫无知。一个知识如果无法在短期内对自己产生影响,那说明还没有看和学的必要 当然推文里最后说的复利,最简单的莫不过「运动健身、优质睡眠作息、良好思考复盘以及对世界的探索欲」 https://x.com/0xcryptoHowe/status/2070688570717647081 #思考

2

26 Jun 2026, 05:36 UTC378 views2 reactionsread 8 August 2026

今天的新币调研 ——— $CAP @CapApp CA(BSC): 0x99991c6AAbba5a096f24f250b73580F5179b9999 CA(ETH): 0x99991c6AAbba5a096f24f250b73580F5179b9999 alpha 打新 18:00,20:00 开盘,已经上了 cb,空投领取时间未知 代币初始总量 10B,初始流通约 15.6% 5% ICO,10% 生态和社区,0.6% MM(最后这个官方文档没有提及,为外部信息渠道) 基本面是基于以太坊的信贷协议,由 MegaETH 孵化 欧美团队,没有太多 Crypto Native 背景,整体背景一般般 4 轮融资拿了 1650w 美金,1 轮融资拿了 190w,Robot Ventures、ABCDE 等投资;1 轮社区轮拿了 110w,MegaETH 及其生态项目、Echo 投资,同期还有 1 轮融资拿了 800

👍2

24 Jun 2026, 08:34 UTC255 viewsread 8 August 2026

今天的新币调研 ——— $NES @nesaorg CA(BSC): 0x3131f6B80C26936aB03F7d9D29Eb4Ddf36AC3FB5 CA(ETH):0x230f1E241C621d5af670Dad83ebCdd18971E2995 alpha 20:00 开盘,空投领取时间未知 代币初始总量 1B,初始流通约 14.15%(数据来源 CMC) 1% 公募,4.85% Listing,4.8% 流动性,4.05% 生态/空投(实际流通与 CMC 有点偏差) 基本面是面向“可信 AI 推理”的轻量级 Layer 1,主打隐私、安全、ZKML 与链上 AI inference 欧美团队,没有太多 Crypto Native 背景,两位联创都是传统金融背景 融资信息未知,但这项目方投资了之前另一个 Alpha 项目 Everlyn($LYN,开盘表现很割) 目前池子价 0.11,盘前价 0.

22 Jun 2026, 08:13 UTC274 views3 reactionsread 8 August 2026

今天的新币调研 ——— $ARX @Arcium CA(BSC): 0xd5f6ef5deabe61e6d5cdb49bfb6f156f2c1ca715 CA(Sol):ARXwZkNAtzPfdcoqQiduJn8EPv9fKiDfGn2KyggyDrFs alpha 18:00 开盘,已经上了 cb,空投领取时间未知 代币初始总量 1B(BSC 流通 2.254%),初始流通约 20.88% 2% 社区公募,8.7312% 生态和研发,10.1195% 社区 基本面是并行化隐私计算网络,为链上应用、AI、企业和政府场景提供基于 MPC / FHE / ZK 等密码学技术的加密计算执行层 欧美团队,没有太多 Crypto Native 背景,密码学工程背景也一般。并有多个联创不仅在 Arcium 共事,还同时经营 Arcium 背后的瑞士实体/技术公司载体 4 轮融资拿了 1400w 美金,2 轮 24 年的

3

22 Jun 2026, 03:15 UTC250 views2 reactionsread 8 August 2026

更新了下 BN Alpha 新币调研 skill 的功能,方便懒人快速获取重点和数据 然后也加了一些可视化图表的生成 已经在使用 skill 的直接让 AI 更新到最新版本就可以了 https://x.com/0xcryptoHowe/status/2068895006983700623 #Alpha新币分析

🎉1👍1

19 Jun 2026, 13:50 UTC285 views0 reactionsread 8 August 2026
Photo

这个投资游戏非常推荐大家去玩一玩,很有意思! 基本上把国内 VC 的发展历史和历经的行业赛道变革都囊括进去 在选择的过程中能够感觉到自己在这过程中的投资思考 这其实算是“假如时光倒退,你会怎么选”的变体了 玩了两把,第一把惨变「边缘人物」,好在第二把拿到了不错的结果,只可惜没能完全通关,太在意收益结果把自己累着了😂 好在没有把之前的 VC 经历忘却 https://www.vc-simulator.com/ #投资游戏

17 Jun 2026, 04:05 UTC302 views1 reactionsread 8 August 2026

今天的新币调研 ——— $O @o1_exchange CA(BSC): 0x500a02a20b0b0a3f3efccfc0559543f5743bd1c4 CA(Base):0x182fa643e5f29d5eca75e7b9cf9336a3fe4620b2 alpha 22:00 开盘,已经上了 cb,空投领取时间未知 代币初始总量 1B,初始流通 16% 3% 社区,3% 生态,4% 国库,6% 流动性 基本面是链上交易终端 + Meta DEX Aggregator + AI/量化交易工具 华人团队,具体背景未知,没有透露太多信息 1 轮融资拿了 480w 美金,a16z,Coinbase Ventures,Amber 和 AllianceDAO 等投资。融资平均成本为 2670w FDV,对应价格为 0.0267 目前池子价 0.045,盘前主要成交价在 0.2 附近,成交量一般参考价值较低 玩

1

15 Jun 2026, 16:27 UTCviews —

一起走向财富之路 pinned «今晚上花了几个小时抽空把自己之前写的一共 113 篇 Alpha 新币调研分析文做成了网站,方便大家自行查看搜索 同时也做了一些可视化分类,时间热力图查看上新情况,根据时间顺序、链分类、每月数量等多维度进行分类 后续新写的调研也会定期进行同步 https://bn-alpha.0xhowe.top/ 本文会进行置顶,所以额外贴一下 TG 群组链接: @cyrptohowe_discussion #Alpha新币分析»

Showing the 12 most recent of 20 posts we hold for @cryptohowe_treasure. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

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.

Cite this entry

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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“一起走向财富之路” (@cryptohowe_treasure), 751 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/cryptohowe_treasure.

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.