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🕊15☃2🍌1

Channel
@M_LIBS
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
977subscribers
+1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001761211762 |
|---|---|
| Type | Channel |
| Username | @M_LIBS |
| Created | Between 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 7 August 2026 |
| On Telegram | t.me/M_LIBS |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Aug 2026, 17:03 | 977 | +1 |
| 7 Aug 2026, 09:17 | 976 | first reading |
16 posts held, back to 14 December 2023 — 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 16 posts for this entry, the most recent from 23 April 2024. An engagement rate over an empty window would be a number about nothing.
228 reactions across 15 posts, in 8 distinct kinds. The most used accounts for 19.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 💋 | 45 | 19.7% | |
| 🕊 | 40 | 17.5% | |
| 🍌 | 34 | 14.9% | |
| 🦄 | 33 | 14.5% | |
| 🐳 | 28 | 12.3% | |
| 🎃 | 18 | 7.89% | |
| ☃ | 15 | 6.58% | |
| 🌭 | 15 | 6.58% |
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 15 of the 16 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 228reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 14 December 2023 to 23 April 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
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🕊15☃2🍌1
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🌭2
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🦄18🕊2
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🐳3🌭1
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☃5🌭1
Probably the last minor version (🐽) 100% FULLY WORKING WITH AGC 9.2 V7 (can't guarantee with newer versions, never trust gcamers 😝) Increased dehaze Changed both gamma and tone curve Increased contrast Leica is ON as default, suggested for deep blue skies with some vignette, a bit less for skin accuracy (better to turn it off) READY FOR SUMMER PICS As always use zsl for everything, nightsight when you need shoot…
🕊18💋9🌭4🎃2☃1🦄1
M22f vs xiaomi 14 ultra stock 🫡 The best m0 config you can find around for details still rocking https://t.me/M_LIBS/112
🍌13🐳2🕊2☃1🌭1🎃1
Probably the last minor version (🐽) Increased dehaze A bit less brighter zsl Fixed brightness for nightsight now recovering more highlights Changed the priority to recovery more highlights in both. As always use zsl for everything, nightsight when you need shooting high dynamic scenery Remember zsl has 50+shasta frame sabre merging Nightsight it's random merging chosen by gcam lol so results could vary, ready ev…
🍌17🦄7
Fixed brightness (now it's really 🌞🥵) Adjusted noise for hdr ratio ns Xiaomi 13u
🐳10🦄4🌭3💋3🕊1
Typical use case scenario for nightsight
🎃13
Agc 9.2 FIXED NIGHTSIGHT (to be used during night or high dynamic scene, much more hdr captured than zsl) Still 50 frames sabre + shasta for zsl Increased iso limit for all lenses Reduced warmness A bit brighter output Xiaomi 13 ultra
🐳10💋6🍌2
Agc 9.2 Only hdr+ Added shasta 50 frames + shasta Merge1 Hdr quality tone and gamma Xiaomi 13 ultra
💋9🦄3🎃1
Showing the 12 most recent of 16 posts we hold for @M_LIBS. 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.
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.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“M_LIBS GCAM” (@M_LIBS), 977 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/M_LIBS.
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.