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Channel

Coding Stack AI 🤖

@Codingstack

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

13,866subscribers

-631 since we began measuring on 12 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001767830077
TypeChannel
Username@Codingstack
DescriptionCoding Stack 🌀 Learn Coding from scratches ✍️ Unique Contents✍️ 🧑‍💻 Free PDF & Notes to learn everything 🤓 📍Admin : 🔸LinkedIn (150k+) : https://www.linkedin.com/in/tulsisoni 🔸Twitter (20k+) : https://twitter.com/shedntcare_
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live10 November 2026
Measurements held57
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/Codingstack

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@Codingstack/668 · this entry2 Jul 2025, 09:38 UTC@JobsGallery/26732 Jul 2025, 09:38 UTC1.00under a minute
@Codingstack/672 · this entry1 Aug 2025, 11:23 UTC@JobsGallery/26771 Aug 2025, 11:23 UTC1.00under a minute
@JobsGallery/268016 Sept 2025, 04:02 UTC@Codingstack/673 · this entry16 Sept 2025, 04:02 UTC1.00under a minute
@JobsGallery/268116 Sept 2025, 16:08 UTC@Codingstack/674 · this entry16 Sept 2025, 16:08 UTC1.00under a minute
@JobsGallery/268222 Sept 2025, 17:30 UTC@Codingstack/675 · this entry22 Sept 2025, 17:30 UTC1.00under a minute
@Codingstack/678 · this entry27 Sept 2025, 08:19 UTC@JobsGallery/268527 Sept 2025, 08:19 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@JobsGallery18 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (10–8)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 8 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 19 comparable posts for this entry, running 12 June 2025 to 19 June 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 2 channels, the one whose matching posts we hold earliest is @Codingstack — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

13,86614,49714,181.512 August 2026 — 14,497 subscribers12 August 2026 — 14,495 subscribers14 August 2026 — 14,482 subscribers15 August 2026 — 14,471 subscribers17 August 2026 — 14,459 subscribers18 August 2026 — 14,449 subscribers19 August 2026 — 14,445 subscribers20 August 2026 — 14,440 subscribers21 August 2026 — 14,428 subscribers22 August 2026 — 14,421 subscribers24 August 2026 — 14,405 subscribers25 August 2026 — 14,389 subscribers26 August 2026 — 14,380 subscribers27 August 2026 — 14,372 subscribers28 August 2026 — 14,362 subscribers29 August 2026 — 14,354 subscribers30 August 2026 — 14,347 subscribers31 August 2026 — 14,342 subscribers1 September 2026 — 14,333 subscribers3 September 2026 — 14,320 subscribers4 September 2026 — 14,310 subscribers7 September 2026 — 14,278 subscribers10 September 2026 — 14,259 subscribers12 September 2026 — 14,239 subscribers14 September 2026 — 14,226 subscribers16 September 2026 — 14,219 subscribers18 September 2026 — 14,212 subscribers2 October 2026 — 14,134 subscribers7 October 2026 — 14,106 subscribers11 October 2026 — 14,068 subscribers14 October 2026 — 14,055 subscribers15 October 2026 — 14,041 subscribers16 October 2026 — 14,034 subscribers17 October 2026 — 14,025 subscribers18 October 2026 — 14,018 subscribers19 October 2026 — 14,004 subscribers20 October 2026 — 14,003 subscribers21 October 2026 — 13,999 subscribers22 October 2026 — 13,983 subscribers23 October 2026 — 13,978 subscribers24 October 2026 — 13,975 subscribers25 October 2026 — 13,973 subscribers26 October 2026 — 13,965 subscribers27 October 2026 — 13,959 subscribers28 October 2026 — 13,957 subscribers29 October 2026 — 13,950 subscribers30 October 2026 — 13,935 subscribers31 October 2026 — 13,926 subscribers1 November 2026 — 13,918 subscribers2 November 2026 — 13,909 subscribers3 November 2026 — 13,905 subscribers4 November 2026 — 13,894 subscribers5 November 2026 — 13,888 subscribers6 November 2026 — 13,885 subscribers7 November 2026 — 13,882 subscribers8 November 2026 — 13,877 subscribers10 November 2026 — 13,866 subscribers12 August 202610 November 2026
57 measurements spanning 89 days, net -631. 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 13,771–14,592 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)SubscribersChange
10 Nov 2026, 02:4613,866-11
8 Nov 2026, 20:0813,877-5
7 Nov 2026, 12:5713,882-3
6 Nov 2026, 12:1513,885-3
5 Nov 2026, 13:0913,888-6
4 Nov 2026, 10:5013,894-11
3 Nov 2026, 13:5613,905-4
2 Nov 2026, 11:1013,909-9
1 Nov 2026, 12:5813,918-8
31 Oct 2026, 12:5613,926-9
30 Oct 2026, 14:5813,935-15
29 Oct 2026, 17:3913,950-7
28 Oct 2026, 16:1713,957-2
27 Oct 2026, 14:1513,959-6
26 Oct 2026, 12:5413,965-8
25 Oct 2026, 12:0013,973-2
24 Oct 2026, 15:0113,975-3
23 Oct 2026, 13:5513,978-5
22 Oct 2026, 13:2813,983-16
21 Oct 2026, 05:0113,999first reading

Engagement

20 posts held, back to 12 June 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 53 pages of 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 19 June 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
152
Videos
49
Links
277

Lifetime counters from Telegram’s own channel header, read 11 November 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
1m 00s
Average length
20s

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.

Reaction mix

63 reactions across 20 posts, in 5 distinct kinds. The most used accounts for 69.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤4469.8%
❤‍🔥914.3%
👌69.52%
🔥34.76%
👏11.59%

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 20 of the 20 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 63 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 12 June 2025 to 19 June 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.

Recent posts

19 Jun 2026, 13:31 UTC≈1,880 views3 reactionsread 11 November 2026

Most voice agents break when you try to go multilingual. Different pipelines. Custom prompts. Extra infrastructure. I tested Krisp's Voice Translation API, and surprisingly, I was able to add multilingual support to an existing voice agent without rebuilding the stack. ⚡ ~1 second latency 🌍 61 supported languages 🎯 96% reported accuracy 🎙️ Handles accents, noise, and code-switching Feels much closer to production-…

❤3

16 Feb 2026, 15:24 UTC≈3,250 views4 reactionsread 11 November 2026
Forwarded from @NotesGallery1Photo

🤖 MuleRun — a free Clawdbot alternative, right in Telegram. No setup. No API key. Just start chatting. Showcases: https://sxz823pe.mule.page ⚡️Quick start: @MuleRunBot 💪Full experience: mulerun.com/chat Free during beta. We're also running a build challenge🥇— best use cases win prizes. Details in the comments. 👇📍

❤3👏1

2 Feb 2026, 09:12 UTC≈3,960 views3 reactionsread 11 November 2026

🚀 QA just leveled up. Manual test cases are history. Meet KaneAI — an AI-native testing agent that designs tests, validates UI + APIs, catches regressions, and helps teams ship faster ⚡ Write tests in plain English. Test with real data. Catch UI bugs before users do. 👉 Try KaneAI here (UTM inside): https://www.testmu.ai/kane-ai/?utm_source=twitter&utm_medium=tulsisoni&via=vibetest Test smarter. Ship with confide…

❤3

9 Oct 2025, 16:50 UTC≈6,010 views3 reactionsread 11 November 2026
Photo

Introducing Agent S3: Scaling Agents for Computer Use github.com/simular-ai/agent-s Today, we’re excited to unveil Agent S3, our most capable computer-use agent yet, designed to bring your computer to life. 🔗 Try Agent S3 today github.com/simular-ai/agent-s

❤2👌1

8 Oct 2025, 19:18 UTC≈5,280 views1 reactionsread 11 November 2026

My Gmail now runs 24/7 with AI. It answers questions, handles Stripe refunds, and even stopped $108 in chargebacks while I slept. https://www.supportbay.app/.

❤1

27 Sept 2025, 08:19 UTC≈5,250 views5 reactionsread 11 November 2026
Video

🎁 Build with Trickle AI — Get 700 Free Credits Now! Can’t believe this interactive film website was built entirely with Trickle from video generation to interaction! Trickle is the first agentic canvas that seamlessly combines video and image generation with vibe coding, making it easy to create interactive websites, apps, and visuals. Visit Trickle: 👉 https://t.co/zoAOH1Nji5 Sign up to get 350 free credits instan…

❤3❤‍🔥2

24 Sept 2025, 12:24 UTC≈4,000 views2 reactionsread 11 November 2026

https://youtu.be/Dz9VoESuXEo?si=h5kj3Sh05zZlJnZa Check , comment like and subscribe 🚨

❤1👌1

22 Sept 2025, 17:44 UTC≈3,650 views3 reactionsread 11 November 2026

Agentic AI has arrived. But agents can't pay for tools. Or hire other agents. Or let developers earn. Without money, there's no economy. Just hollow demos - atxp.ai

❤2❤‍🔥1

22 Sept 2025, 17:30 UTC≈3,470 views1 reactionsread 11 November 2026

Lessie AI — the People Search AI Agent. Find anyone. Instantly. Your People Search AI Agent is here. ⚡ Try it today: app.lessie.ai | lessie.ai

👌1

16 Sept 2025, 16:08 UTC≈4,280 views5 reactionsread 11 November 2026

Try Teable’s most powerful features FREE for 14 days ✅ Full features ✅ Full AI ✅ No limits ✅ No credit card 👉 teable.ai

❤5

16 Sept 2025, 04:02 UTC≈3,980 views3 reactionsread 11 November 2026

Meet Amber’s Anxiety Model 🌿 Built for moments when you need calm right now. ✅ Grounding techniques ✅ Short, directive replies ✅ Present-moment focus Try Amber — Anxiety Model here: https://www.ambermind.ai/

🔥2❤1

1 Aug 2025, 11:23 UTC≈5,730 views3 reactionsread 11 November 2026

Meshy 5 is here — and it’s unreal. Turn text or images into stunning 3D assets in minutes — whether it’s for games, design, or print. No modeling skills needed. 🎯 Now with 50% OFF for all new users. No code. Just magic. 👉 https://www.meshy.ai/?utm_source=instagram&utm_medium=influencer&utm_content=tulsisoni&utm_campaign=meshy-5

❤3

Showing the 12 most recent of 20 posts we hold for @Codingstack. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Jobs Gallery
@JobsGallery · 24,527
Telegram ranks this channel #1 of 68 here — alongside 67 others — read 14 September 2026
HCL GUVI
@guvigeek · 26,470
Telegram ranks this channel #19 of 49 here — alongside 48 others — read 11 September 2026
Certified Free Courses - MindLuster
@mindluster · 229,130
Telegram ranks this channel #32 of 61 here — alongside 60 others — read 12 August 2026
DoctorPDF - X
@DoctorPdfX · 26,526
Telegram ranks this channel #40 of 65 here — alongside 64 others — read 4 October 2026
Govt / Sarkari Jobs Update & GK Quiz
@govt_sarkari_jobs_update_gk_quiz · 79,215
Telegram ranks this channel #51 of 80 here — alongside 79 others — read 18 August 2026

This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“Coding Stack AI 🤖” (@Codingstack), 13,866 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/Codingstack.

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.