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Telegram profile photo for TensorFlow discuss group [en]

Supergroup

TensorFlow discuss group [en]

@tensorflow

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

1,084members

-33 since we began measuring on 6 August 2026

93 online right now

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

Register entry

Telegram ID-1001116514939
TypeSupergroup
Username@tensorflow
CreatedBetween 1 February 2017 and 30 November 2019 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 October 2026
Last confirmed live7 October 2026
Measurements held15
Confirmed unchanged1 time, most recently 7 October 2026
On Telegramt.me/tensorflow

Topic

Technology — 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 7 October 2026 and assigned it the closest of 31 fixed categories, at 96% 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

1,0841,1171,100.56 August 2026 — 1,117 members9 August 2026 — 1,115 members12 August 2026 — 1,112 members15 August 2026 — 1,110 members18 August 2026 — 1,108 members25 August 2026 — 1,107 members28 August 2026 — 1,106 members31 August 2026 — 1,104 members2 September 2026 — 1,103 members7 September 2026 — 1,100 members12 September 2026 — 1,097 members16 September 2026 — 1,096 members30 September 2026 — 1,087 members7 October 2026 — 1,087 members7 October 2026 — 1,084 members6 August 20267 October 2026
15 measurements spanning 62 days, net -33. 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 1,079–1,122 and does not start at zero.
Measurement log — every members count we have recorded
Measured (UTC)MembersChange
7 Oct 2026, 11:021,084-3
7 Oct 2026, 04:081,087no change
30 Sept 2026, 08:371,087-9
16 Sept 2026, 02:001,096-1
12 Sept 2026, 03:421,097-3
7 Sept 2026, 16:591,100-3
2 Sept 2026, 20:531,103-1
31 Aug 2026, 04:381,104-2
28 Aug 2026, 11:181,106-1
25 Aug 2026, 19:071,107-1
18 Aug 2026, 23:431,108-2
15 Aug 2026, 18:371,110-2
12 Aug 2026, 18:031,112-3
9 Aug 2026, 14:131,115-2
6 Aug 2026, 15:441,117first 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.

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

“TensorFlow discuss group [en]” (@tensorflow), 1,084 members as measured 7 October 2026. Telegram Register, tgregister.com/channel/tensorflow.

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.