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Channel

Hot Hindi Web Series

@HotHindi_WebSeries

On this record: Topic · Growth · Engagement · Citations · Cite this entry

1,242subscribers

-39 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001394754345
TypeChannel
Username@HotHindi_WebSeries
CreatedBetween 1 August 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded3 October 2026
Last confirmed live15 October 2026
Measurements held16
Confirmed unchanged1 time, most recently 15 October 2026
On Telegramt.me/HotHindi_WebSeries

Topic

Film & TV — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 3 October 2026 and assigned it the closest of 31 fixed categories, at 89% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

1,2421,2811,261.57 August 2026 — 1,281 subscribers7 August 2026 — 1,280 subscribers10 August 2026 — 1,279 subscribers14 August 2026 — 1,274 subscribers17 August 2026 — 1,271 subscribers24 August 2026 — 1,270 subscribers27 August 2026 — 1,268 subscribers5 September 2026 — 1,265 subscribers10 September 2026 — 1,268 subscribers14 September 2026 — 1,269 subscribers18 September 2026 — 1,267 subscribers27 September 2026 — 1,257 subscribers3 October 2026 — 1,257 subscribers5 October 2026 — 1,253 subscribers12 October 2026 — 1,244 subscribers15 October 2026 — 1,242 subscribers7 August 202615 October 2026
16 measurements spanning 70 days, net -39. 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 1,236–1,287 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Oct 2026, 22:451,242-2
12 Oct 2026, 12:591,244-9
5 Oct 2026, 12:581,253-4
3 Oct 2026, 03:001,257no change
27 Sept 2026, 14:561,257-10
18 Sept 2026, 05:011,267-2
14 Sept 2026, 09:181,269+1
10 Sept 2026, 19:011,268+3
5 Sept 2026, 23:581,265-3
27 Aug 2026, 03:121,268-2
24 Aug 2026, 06:541,270-1
17 Aug 2026, 16:261,271-3
14 Aug 2026, 00:141,274-5
10 Aug 2026, 19:281,279-1
7 Aug 2026, 18:011,280-1
7 Aug 2026, 00:451,281first reading

Engagement

Posts not read yet. This entry is on the register from its profile alone; the post reader has not reached it. Engagement figures appear here once posts have actually been measured — we do not publish a rate before we have the readings behind it.

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.

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

“Hot Hindi Web Series” (@HotHindi_WebSeries), 1,242 subscribers as measured 15 October 2026. Telegram Register, tgregister.com/channel/HotHindi_WebSeries.

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.