2 measurements spanning 4 days. 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 18–20 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Aug 2026, 16:46
19
no change
7 Aug 2026, 10:31
19
first reading
Engagement
16 posts held, back to 7 July 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.
ERR · 30 days
166.4%
avg views ÷ 19 subscribers
Avg views / post
31.6
8 posts measured
Reaction rate
1.33%
reactions ÷ views · ER floor
Posts in window
8
of 16 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. It is computed over the 2 of 8 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 29 July 2026
Posts held
16 (7 July 2026 – 29 July 2026)
Views total
253
Reactions total
1
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Aug 2026, 16:46 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
Photos
16
Videos
1
Links
5
Lifetime counters from Telegram’s own channel header, read 11 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.
Video runtime
19s
Average length
19s
Measured directly from 1 video 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.
Reaction mix
10 reactions across 6 posts, in 3 distinct kinds. The most used accounts for 50.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
5
50.0%
❤
4
40.0%
😁
1
10.0%
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 8 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 10reactions 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 7 July 2026 to 29 July 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Snapchat Unofficial Api
it took me 3 months btw🙈
reversing authentication, encrypted requests, Protobuf messages, WebSockets, custom protocols, and more
If you've ever wanted to automate Snapchat ,streaks or business automation it's developer friendly Api check it out
LinkedIn Github
feedback , issues and PRs are always welcome😊
Working on a fullstack project
Frontend ✅
Backend ✅
Containerized ✅
Deployed ✅
Everything was looking good...then boom 💀
The frontend is running on HTTPS while the backend was exposed through HTTP...and the browser started blocking the requests.the funny part? the code wasn't even the problem this time 😭
The annoying part is I don't own the server...every deployment change, configuration update, and test has to go t…
Containerization ain't just about Docker...it's about peace of mind.
"If it works on my machine" is one of the biggest lies in software development.
A container doesn't care where it runs...your laptop, your teammate's machine, or production. If you built it right...it just works.
Less time fixing environments...more time building things that matter.
readmore
@coffeePlusCode
#docker #containerization #backend #soft…
If I had known life would teach me more than school did...I'd never have gone to school.
Life doesn't care whether you're ready or not...it teaches you anyway. Sometimes gently, most of the time the hard way.
@coffeePlusCode
#life #growth #wisdom
People always ask me how I manage my time on S.M.A especially when they see me active on social media, working, studying, and still finding time to build things for myself. I get this question a lot, especially from students who feel overwhelmed and struggle with focus and time management.
The truth is, there was a time when every Saturday and Sunday belonged to the library. I was working a full-time job, managing mu…
Every time you procrastinate...know this....comfort is a dream killer. It slowly steals the life you could've had.
@coffeePlusCode
#growth #discipline #productivity
example on how to use nodeytapi
i'll publish to npm tonight
*edited
it's finally published,give it a shot
https://www.npmjs.com/package/nodeytapi
@coffeePlusCode
#npm #pkg #tool #youtube_downloader
Finally finished nodeytapi.
Started this because I was struggling to get YouTube downloading working in one of my full-stack projects. Tried a few packages and wrappers, kept running into issues... so I built my own.
Along the way I learned a lot about cross-language communication between TypeScript and Python, process management, and SDK design. Definitely one of the most fun projects I've worked on.
Feedback is al…
I had an interview this morning...unfortunately, it didn't happen and I was a lil disappointed.There was another place where i had applied. We talked about everything, then i didn't hear anything from them for a while...today they called me and told me to start the job. All of this happened within a few hours.
Moral of the story...if you truly have faith in God and trust Him with all your heart, He never disappoints…
am f*cking obsessed with making money
the big one
@coffeePlusCode
#obsession #random
Signed veil
Showing the 12 most recent of 16 posts we hold for @coffeepluscode. 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.
Citation-graph rank
Citation-graph rank — 215,715 of 1,151,006entries 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
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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 11 August 2026 — this
entry's latest reading, not the date you are reading this.
“coffee+Code” (@coffeepluscode), 19 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/coffeepluscode.
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.