Photo, posted without a caption

Channel
太阳神【TG引流一站式服务】
@fenjinpd
On this record: Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Citations · Cite this entry
11,036subscribers
-228 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002416505463 |
|---|---|
| Type | Channel |
| Username | @fenjinpd |
| Description | 联系官方客服 @dede 双向联系 @S10086bot 我们覆盖[TG引流/刷粉/协议号/搭建机器人/老群频道/群发器/群发ip/筛选脚本/采集器/会员代开/星星兑换/能量租赁]等多渠道服务响应站7×[24]小时在线,售后投诉等24小时内反馈解决方案,无论是产品咨询、订单跟进,还是售后问题处理,都能为您提供清晰、高效的解答! |
| Created | 20 December 2024 — measured — dated from the channel’s first post |
| First recorded | 7 August 2026 |
| Last confirmed live | 22 August 2026 |
| Measurements held | 16 |
| Confirmed unchanged | 1 time, most recently 22 August 2026 |
| On Telegram | t.me/fenjinpd |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 22 Aug 2026, 18:57 | 11,036 | -15 |
| 21 Aug 2026, 10:17 | 11,051 | -9 |
| 20 Aug 2026, 10:12 | 11,060 | -25 |
| 19 Aug 2026, 13:15 | 11,085 | -13 |
| 18 Aug 2026, 13:48 | 11,098 | -8 |
| 17 Aug 2026, 15:27 | 11,106 | -27 |
| 16 Aug 2026, 07:47 | 11,133 | -18 |
| 14 Aug 2026, 21:23 | 11,151 | -19 |
| 13 Aug 2026, 09:58 | 11,170 | -8 |
| 12 Aug 2026, 13:13 | 11,178 | -11 |
| 11 Aug 2026, 16:33 | 11,189 | -16 |
| 10 Aug 2026, 19:18 | 11,205 | -20 |
| 9 Aug 2026, 16:21 | 11,225 | -16 |
| 8 Aug 2026, 16:01 | 11,241 | -23 |
| 7 Aug 2026, 18:31 | 11,264 | no change |
| 7 Aug 2026, 18:21 | 11,264 | first reading |
Engagement
4 posts held, back to 20 December 2024 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 26 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 53.7%
- avg views ÷ 11,036 subscribers
- Avg views / post
- 5,930
- 1 post measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 1
- of 4 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.
| Window | Rolling 30 days · latest post in window 30 July 2026 |
|---|---|
| Posts held | 4 (20 December 2024 – 30 July 2026) |
| Views total | 5,930 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 23 Aug 2026, 18:35 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.
What this channel posts
- Links
- 2
Lifetime counters from Telegram’s own channel header, read 23 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Recent posts
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当您在使用产品时遇困惑当您对服务有建议客户服务中心始终是您的“即时响应站” 我们覆盖[TG引流/刷粉/协议号/搭建机器人/老群频道/群发器/群发ip/筛选脚本/采集器/会员代开/星星兑换/能量租赁]等多渠道服务响应站,7×[24]小时在线,售后投诉等24小时内反馈解决方案,无论是产品咨询、订单跟进,还是售后问题处理,都能为您提供清晰、高效的解答! 从需求倾听、问题定位到方案落地,我们始终以“解决您的问题”为核心,用耐心化解疑虑,用细致保障体验。选择太阳神,不仅是选择优质产品,更是选择一份“随时找得到靠得住”的服务承诺太阳神客户服务中心以专业,守护每一份信赖! 🥰总押30w持续加押 客服 @dede 🇸🇰天成押金2000U https://t.me/+FtNO75cT56M3NjY1 🇮🇶平安押金1000U https://t.me/+fNxyNJsMx88zMmYx 😃福利来押金2500U https://t.me/…
Channel created
Showing the 4 most recent of 4 posts we hold for @fenjinpd. 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.
Posts edited after publishing
@fenjinpd edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 11 August 2026
- Most recent edit
- 18 August 2026
Citation-graph rank
Citation-graph rank — 249,144 of 1,584,733entries 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 22 August 2026 — this entry's latest reading, not the date you are reading this.
“太阳神【TG引流一站式服务】” (@fenjinpd), 11,036 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/fenjinpd.
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.