Channel
@cisspfree
On this record: Growth · Engagement · What this channel posts · Posts · Cite this entry
3,621subscribers
+5 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001440598597 |
|---|---|
| Type | Channel |
| Username | @cisspfree |
| Created | Between 1 April 2019 and 31 October 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 27 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 27 August 2026 |
| On Telegram | t.me/cisspfree |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Aug 2026, 05:24 | 3,621 | -1 |
| 20 Aug 2026, 22:05 | 3,622 | -1 |
| 17 Aug 2026, 20:57 | 3,623 | +2 |
| 15 Aug 2026, 00:55 | 3,621 | +5 |
| 12 Aug 2026, 00:32 | 3,616 | +3 |
| 8 Aug 2026, 15:41 | 3,613 | -3 |
| 7 Aug 2026, 20:45 | 3,616 | no change |
| 7 Aug 2026, 20:36 | 3,616 | first reading |
20 posts held, back to 30 April 2026 — 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 pageof 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 20 posts for this entry, the most recent from 18 July 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 3 videos 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.
Google Professional Data Engineer Quiz Challenge Think you are ready for the Google Professional Data Engineer certification? Here's a real exam-style question for you. -------------------- Question You need to build a scalable, cost-effective data pipeline that ingests streaming data from multiple sources, transforms it, and loads it into BigQuery for analytics with minimal operational overhead. Which approach shoul…
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https://click.linksynergy.com/deeplink?id=NkHXqmYDDSE&mid=24808&murl=https%3A%2F%2Fwww.informit.com%2Fstore%2Fpractical-guide-to-computer-forensics-investigations-9780132756167&u1=linkedin
https://youtu.be/gjMQRu6OHYY
https://youtu.be/-BedlM6Sg5M
Sticker, posted without a caption
https://youtu.be/VFicck9jXzw
https://youtu.be/yWimBUJtBWw
Showing the 12 most recent of 20 posts we hold for @cisspfree. 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.
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 27 August 2026 — this entry's latest reading, not the date you are reading this.
“All FREE IT FILES” (@cisspfree), 3,621 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/cisspfree.
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.