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Channel

LET'S LEARN CHINESE TOGETHER.

@xitoytili01

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

625subscribers

+1 since we began measuring on 4 October 2026

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

Register entry

Telegram ID-1001698468123
TypeChannel
Username@xitoytili01
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded4 October 2026
Last confirmed live8 October 2026
Measurements held3
Confirmed unchanged1 time, most recently 8 October 2026
On Telegramt.me/xitoytili01

Growth

624625624.54 October 2026 — 624 subscribers4 October 2026 — 624 subscribers8 October 2026 — 625 subscribers4 October 20268 October 2026
3 measurements spanning 4 days, net +1. 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 624–625 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Oct 2026, 09:20625+1
4 Oct 2026, 07:22624no change
4 Oct 2026, 06:49624first reading

Engagement

8 posts held, back to 19 June 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 8 posts for this entry, the most recent from 21 June 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
4s
Average length
4s

Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

68 reactions across 8 posts, in 5 distinct kinds. The most used accounts for 73.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤5073.5%
😍811.8%
👍68.82%
🔥22.94%
🤔22.94%

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 8 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 68 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 19 June 2025 to 21 June 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

21 Jun 2026, 08:59 UTC302 views4 reactionsread 4 October 2026
Forwarded from @xitoy5676Photo

🎬 Chinese dramas I recommend to improve your Chinese and reach HSK 5–6 level 我推荐的中文电视剧 帮助你提升中文水平,达到HSK 5–6 🇨🇳 📺 都挺好 (All Is Well) 非常真实的家庭题材电视剧,展现现代中国的生活与人际关系 📺 亲爱的翻译官 (Les Interprètes / Dear Translator) 讲述翻译官的成长故事,适合语言学习者 📺 欢乐颂 (Ode to Joy) 讲述五个女生的都市生活,日常对话丰富,非常实用 📺 三十而已 (Nothing But Thirty) 讲述三十岁女性的事业与生活,内容真实又 📺 以家人之名 (Go Ahead) 温暖的家庭故事,对话自然又感人 📺 我的前半生 (The First Half of…

❤4

26 Nov 2025, 11:28 UTC≈1,040 views9 reactionsread 4 October 2026
Photo

Paxta — 棉花 mián huā Paxta xom-ashyosi — 棉花原料 mián huā yuán liào Paxta tolasi — 棉纤维 mián xiān wéi Paxta chigiti — 棉籽 mián zǐ Tozalangan paxta (lint) — 清棉 / 净棉 qīng mián / jìng mián Pilla / chigitli paxta — 籽棉 zǐ mián Paxta yog‘i — 棉籽油 mián zǐ yóu Paxta shroti — 棉籽饼 mián zǐ bǐng Namlik — 含水量 hán shuǐ liàng Ifloslik darajasi — 杂质含量 zá zhì hán liàng Sifat darajasi — 质量等级 zhì liàng děng jí Analiz natijalari — 检…

❤5👍2🤔2

18 Nov 2025, 05:00 UTC834 views14 reactionsread 4 October 2026
Photo

Girl with 10 Obsessions — 女孩的10个痴迷点

❤11🔥2😍1

27 Jun 2025, 09:17 UTC≈13,900 views10 reactionsread 4 October 2026
Photo

Improve your listening skills 🔉 1. 瞎扯学中文 - convo chinese https://open.spotify.com/show/42STZ89SIiroukDHp20GBp?si=BFmoMMgkROWPHVXamtUCkg 2 . 聊聊东西 talk to me in chinese https://open.spotify.com/show/31VvYsaas7ijlHhR2dqB25?si=zfwLsMhlRQK35vXEHmNkAA 3.大鹏说中文 Speak chinese with Da Peng https://open.spotify.com/show/4Xgf5VBTn1azv5yFOX1EPI?si=H1NnT03iTgKbXZ_MBDTe4g 4.Chillchat ( Learn chinese abd chill) https://ope…

❤8👍2

27 Jun 2025, 05:47 UTC≈1,210 views5 reactionsread 4 October 2026
Photo

公共事业费用 电费 (diàn fèi) – elektr to‘lovi 水费 (shuǐ fèi) – suv to‘lovi 燃气费 (ránqì fèi) – gaz to‘lovi 暖气费 (nuǎnqì fèi) – isitish (qish mavsumida) 物业费 (wùyè fèi) – uy-joy xizmat haqi (ko‘p qavatli uylarda majburiy) 垃圾处理费 (lājī chǔlǐ fèi) – chiqindi tashish xizmati 宽带费 / 网络费 (kuāndài fèi / wǎngluò fèi) – internet to‘lovi 电话费 (diànhuà fèi) – telefon to‘lovi @xitoytili01

❤5

19 Jun 2025, 07:13 UTC975 views6 reactionsread 4 October 2026

https://youtube.com/playlist?list=PLneZiE_zP2-yWA-nRe2qBDxIjbxBzp07l&si=Uyt7dBKaL3OaOBj7

❤4👍2

Showing the 8 most recent of 8 posts we hold for @xitoytili01. 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 8 October 2026 — this entry's latest reading, not the date you are reading this.

“LET'S LEARN CHINESE TOGETHER.” (@xitoytili01), 625 subscribers as measured 8 October 2026. Telegram Register, tgregister.com/channel/xitoytili01.

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.