Telegram RegisterThe public register of Telegram
Telegram profile photo for Computer Science and Programming

Channel

Computer Science and Programming

@computer_science_and_programming

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

140,074subscribers

-1,105 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001309924870
TypeChannel
Username@computer_science_and_programming
DescriptionChannel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_science
Created12 April 2018 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live17 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/computer_science_and_programming

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 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 why it has no browse page of its own yet.

Growth

140,074141,179140,626.55 August 2026 — 141,179 subscribers6 August 2026 — 141,179 subscribers6 August 2026 — 141,173 subscribers7 August 2026 — 141,154 subscribers7 August 2026 — 141,129 subscribers8 August 2026 — 141,102 subscribers10 August 2026 — 141,077 subscribers11 August 2026 — 141,026 subscribers12 August 2026 — 140,989 subscribers13 August 2026 — 140,958 subscribers14 August 2026 — 140,940 subscribers15 August 2026 — 140,972 subscribers17 August 2026 — 140,922 subscribers18 August 2026 — 140,907 subscribers19 August 2026 — 140,895 subscribers20 August 2026 — 140,890 subscribers21 August 2026 — 140,868 subscribers23 August 2026 — 140,838 subscribers24 August 2026 — 140,743 subscribers25 August 2026 — 140,710 subscribers26 August 2026 — 140,665 subscribers27 August 2026 — 140,651 subscribers28 August 2026 — 140,605 subscribers29 August 2026 — 140,579 subscribers30 August 2026 — 140,514 subscribers31 August 2026 — 140,489 subscribers1 September 2026 — 140,433 subscribers2 September 2026 — 140,425 subscribers4 September 2026 — 140,398 subscribers6 September 2026 — 140,401 subscribers9 September 2026 — 140,310 subscribers12 September 2026 — 140,222 subscribers13 September 2026 — 140,154 subscribers15 September 2026 — 140,111 subscribers17 September 2026 — 140,074 subscribers5 August 202617 September 2026
35 measurements spanning 43 days, net -1,105. 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 139,908–141,345 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
17 Sept 2026, 16:15140,074-37
15 Sept 2026, 11:39140,111-43
13 Sept 2026, 20:21140,154-68
12 Sept 2026, 03:21140,222-88
9 Sept 2026, 20:18140,310-91
6 Sept 2026, 11:57140,401+3
4 Sept 2026, 04:22140,398-27
2 Sept 2026, 21:12140,425-8
1 Sept 2026, 19:35140,433-56
31 Aug 2026, 20:34140,489-25
30 Aug 2026, 18:55140,514-65
29 Aug 2026, 16:23140,579-26
28 Aug 2026, 16:13140,605-46
27 Aug 2026, 17:04140,651-14
26 Aug 2026, 19:05140,665-45
25 Aug 2026, 16:04140,710-33
24 Aug 2026, 18:33140,743-95
23 Aug 2026, 03:17140,838-30
21 Aug 2026, 13:17140,868-22
20 Aug 2026, 15:22140,890first reading

Engagement

55 posts held, back to 28 June 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 108 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.81%
avg views ÷ 140,074 subscribers
Avg views / post
9,540
22 posts measured
Reaction rate
0.149%
reactions ÷ views · ER floor
Posts in window
22
of 55 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 21 of 22 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 26 September 2026
Posts held55 (28 June 2026 – 26 September 2026)
Views total209,923
Reactions total306
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken26 Sept 2026, 23:39 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
≈927
Videos
≈31
Links
≈1,230

Lifetime counters from Telegram’s own channel header, read 26 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

941 reactions across 53 posts, in 7 distinct kinds. The most used accounts for 47.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤44547.3%
👍23925.4%
👎11612.3%
🔥576.06%
😁384.04%
🗿272.87%
👨‍💻192.02%

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 54 of the 55 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 955 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 55 most recent posts we hold, published 28 June 2026 to 26 September 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

26 Sept 2026, 22:42 UTC183 views1 reactionsread 26 September 2026
Photo

Introduction to Solon A comprehensive tutorial walks through building a REST API with Solon, an independent enterprise Java framework, starting from a basic greeting endpoint and extending it into a task management API backed by H2 and MyBatis-Flex. It covers Solon's architecture, dependency injection, configuration layering, HTTP handling, and testing with solon-test, drawing comparisons to Spring Boot concepts thro…

❤1

25 Sept 2026, 07:10 UTC≈2,900 views6 reactionsread 26 September 2026
Photo

The strangler fig pattern: modernizing without a big-bang rewrite A detailed guide to the strangler fig pattern for modernizing legacy systems capability by capability rather than through a big-bang rewrite. It covers how the facade layer routes traffic, the tradeoffs between dual writes and change data capture for data ownership during migration overlap, how to choose which capability to strangle first, why migratio…

👍4❤2

24 Sept 2026, 07:07 UTC≈3,890 views12 reactionsread 26 September 2026
Photo

Lessons From Four Years of Writing a Weekly Newsletter A .NET blogger reflects on four years and 210 weekly issues of his newsletter, distilling four lessons: consistency beats brilliance, teaching accelerates learning, fundamentals (modular monoliths, domain-driven business rules, API contracts, idempotency, outbox pattern) outlast frameworks, and audience feedback sharpens thinking. He also shares his bullish stanc…

❤8👍4

23 Sept 2026, 16:02 UTC≈4,420 views8 reactionsread 26 September 2026
Photo

We first featured Asentum four months ago ahead of its $ASE token launch. This JavaScript-native blockchain opens its Incentivized Testnet and gamified airdrop campaign. Participants can earn XP by running a validator, using dApps, sending transactions, completing quests, referring friends and more - you can do so on any device 💻 🚨 This is not your typical mindless clicking experience🚨 It's completely free to join…

❤6🔥2

19 Sept 2026, 12:15 UTC≈9,650 views35 reactionsread 26 September 2026

Hello everyone some of you may not know but now we started to expand to WhatsApp and we are inviting you to join our WhatsApp channel link here 👇👇👇👇👇 WhatsApp Computer Science and Technology We welcome you all to be part of this family

👎13❤11👍7🗿4

16 Sept 2026, 14:40 UTC≈9,810 views21 reactionsread 26 September 2026
Photo

Dates Are Not Data, They Are Context · Nikhil Gautam A developer recounts a bug where a billing report showed bills from the wrong day due to a timezone mismatch: the frontend sent plain calendar dates (e.g. '2026-01-01') without timezone context, and the backend converted them directly to JavaScript Date objects while MongoDB stored timestamps in UTC. The core lesson is that a calendar date is not the same as a time…

❤10👍7😁3👎1

14 Sept 2026, 14:40 UTC≈9,860 views14 reactionsread 26 September 2026
Photo

React 19.3 – React React 19.3 is now available on npm, stabilizing two previously experimental APIs: View Transitions and Fragment Refs. The new <ViewTransition> component animates elements entering, exiting, moving, or resizing using the browser's View Transition API, with support for custom animations via addTransitionType and integration with Suspense for coordinated loading of fallbacks, images, and fonts. Fragme…

❤9🔥3👍2

12 Sept 2026, 17:35 UTC≈9,380 views13 reactionsread 26 September 2026
Photo

Scaling Down Costs, Not Performance: How We Migrated from Couchbase to PostgreSQL Trendyol's product content team details a phased, zero-downtime migration of five 'helper bucket' datasets (2.24 billion documents across two clusters) from Couchbase to PostgreSQL to cut infrastructure costs while preserving read performance. The strategy combined dual-writes via Kafka consumers, a custom CDC-based migrator tool for hi…

❤8👍4🗿1

12 Sept 2026, 14:42 UTC≈8,520 views10 reactionsread 26 September 2026
Photo

Bun v1.4.2 Bun v1.4.2 patches two regressions introduced in v1.4.1: a bun build variable name collision that broke Elysia imports with a SyntaxError, and an AsyncLocalStorage memory leak affecting timers and promises created inside store.exit() or nested store.run(). It also fixes a worker_threads 'online' event ordering bug that caused @discordjs/ws to hang, adds CMYK/YCCK JPEG decoding support to Bun.Image, pulls i…

👍6❤4

9 Sept 2026, 18:20 UTC≈10,400 views8 reactionsread 26 September 2026
Photo

Build with Tailscale using tsnet, APIs, and automated sharing Tailscale is expanding from a network you configure into a platform you build with and on. The tsnet Go library lets applications embed Tailscale connectivity directly, giving each app its own tailnet identity, MagicDNS name, and automatic TLS certificates without opening ports or managing proxies. A tailscale-rs library is in pre-alpha, promising bindings…

👍4👎3❤1

8 Sept 2026, 18:20 UTC≈10,600 views12 reactionsread 26 September 2026
Photo

What’s new in Svelte: September 2026 Svelte 5.57 adds new SvelteMap methods (getOrInsert, getOrInsertComputed), a createContext has function, select defaultValue support, and new svelte/server type exports. SvelteKit 3's next release candidate continues iterating with several breaking changes including reworked cross-page form actions, split Vite plugin hooks, defineParams relocation, and route filtering for test fil…

❤9👍2🗿1

Showing the 12 most recent of 55 posts we hold for @computer_science_and_programming. 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

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 14 registered channels — 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.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

Linuxgram 🐧
@linuxgram · 72,668
#1
Artificial Intelligence
@Artificial_intelligence_in · 65,766
#2
FrontEnd Development
@fedevelopment · 28,752
#3
Linkedin Learning
@linkedin_learning · 217,924
#4
AI.News.Daily
@ainews_daily · 3,926
#5
Web Development
@webde · 31,910
#6
Data Science
@datascienceiot · 42,634
#7
Front End World
@front_end_first · 25,950
#8
Web Development
@webdev_trainings · 133,855
#9
Learn JavaScript
@JavaScript_Trainings · 96,712
#10
Data Science & Machine Learning
@datasciencefun · 77,580
#11
Learn Python
@LearnPython3 · 125,222
#12
GitHub repos
@github_repos · 27,297
#13
Python Courses & Resources
@Python53 · 50,715
#14
Artificial Intelligence && Deep Learning
@DeepLearning_ai · 57,432
#15
It's FOSS
@itsfoss_official · 12,962
#16
Learn Python Coding
@pythonRe · 40,364
#17
Machine Learning with Python
@CodeProgrammer · 68,301
#18
The Devs
@thedevs · 32,129
#19
AI & ML Papers
@PaperNexus · 33,858
#20
Web Development
@webdevcoursefree · 79,578
#21
Coding Projects
@Programming_experts · 67,682
#22
Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
@programming_guide · 56,038
#23
Machine Learning & Artificial Intelligence | Data Science Free Courses
@datasciencefree · 68,434
#24
Artificial Intelligence
@Artificial_Intelligence_COM · 72,007
#25
Machine Learning
@MachineLearning9 · 41,424
#26
Cool GitHub repositories
@github_repositories_bds · 10,771
#27
🤖 Coding News ⚡️
@CodingNews · 23,118
#28
Programming, data science, ML - free courses by Big Data Specialist
@bigdataspecialist · 26,486
#29
Startups & Ventures
@tech · 2,234,543
#30
Computer Science and Programming
@MachineLearning_Programming · 14,412
#31
Computer Science Interview Books
@InterviewBooks · 40,516
#32
Artificial Intelligence
@Artificial_Intelligence_AI · 16,462
#33
Data Analytics
@DataAnalyticsX · 30,208
#34
Data Analytics
@sqlspecialist · 110,886
#35
Coding Interview Resources
@crackingthecodinginterview · 52,232
#36
Python Projects & Resources
@pythondevelopersindia · 63,430
#37
📚Python Books
@pythonlbooks · 33,388
#38
ML - DS/DA/DE - AI [Jobs, InterviewPrep] 🇮🇳
@ml_ds_ai_jobs · 25,932
#39
AI - Artificial Intelligence
@aineeringdotcom · 16,029
#40
Ready.code - JS development. Releases and articles
@ready_dot_code · 8,465
#41
Android Security & Malware
@androidMalware · 44,914
#42
Data Science Projects
@pythonspecialist · 56,321
#43
Hacker News
@hackernewslive · 28,368
#44
Programmer Humor
@programmer_humor · 21,475
#45
Learn React and NextJs
@React_Training · 62,922
#46
JavaScript
@javascript · 31,168
#47
GitHub Trends
@githubtrending · 11,622
#48
SQL Programming Resources
@sqlanalyst · 76,675
#49
Python Programming Books
@dsabooks · 59,137
#50
Artificial Intelligence
@machinelearning_deeplearning · 55,794
#51
Technology News
@Technology_News_Updates · 14,024
#52
Coding Interview Preparation
@coding_interview_preparation · 5,909
#53
Cyber Security News
@Cyber_Security_Channel · 56,644
#54
Meet ChatGPT!
@meet_chatgpt · 18,419
#55
Web Development - HTML, CSS & JavaScript
@javascript_courses · 55,698
#56
Best AI Tools | ChatGPT | Perplexity | Deepseek | Artificial Intelligence
@AI_Best_Tools · 58,470
#57
CoolGithubProjects
@r_CoolGithubProjects · 4,410
#58
Python Learning
@python_bds · 5,759
#59
Data science/ML/AI
@datascience_bds · 13,926
#60
Web Development CS JS Python JavaScript Hacking ReactJs Python django Flask CSS Frontend Backend Full Stack Java Node Pdf Books
@javascript_resources · 3,803
#61
Programmer Jokes
@programmerjokes · 106,959
#62
Science in telegram
@science · 120,230
#63
Interesting Engineering
@ieofficial · 65,952
#64
Data Science by ODS.ai 🦜
@opendatascience · 38,626
#65
AI Post — Artificial Intelligence
@aipost · 700,241
#66
Machinelearning
@ai_machinelearning_big_data · 279,417
#67
Hacker News
@hacker_news_feed · 29,771
#68
AI and Machine Learning
@machine_learning_courses · 95,724
#69
The Hacker News
@thehackernews · 164,155
#70
Machine Learning World
@ml_world · 11,103
#71
Artificial Intelligence
@ArtificialIntelligencedl · 16,775
#72
Remote Jobs
@remotejobss · 159,925
#73
Data Science
@sql_databases · 70,599
#74
Python/ django
@pythonl · 58,866
#75
Technology Boxs
@TechnologyBoxs · 25,031
#76
Ai Tools: ChatGPT, Midjourney, Deepseek
@OpenAI_Mastery · 50,064
#77
GENERAL KNOWLEDGE ™ 💡
@General_KnowledgeTM · 69,163
#78
Ask Me
@askmenow · 68,981
#79
TechLead Bits
@techleadbits · 508
#80
Gadget and device News 🗞️
@gadget · 10,256
#81
Jobs | Internships | Placement | Interviews
@getjobss · 113,437
#82
Tomorrow Technology
@TheTomorrowTechnology · 9,417
#83
Hi-Tech Daily News
@hitechdailynews · 16,500
#84
AI Jobs
@AiIndiaJobs · 18,335
#85
International Geographic
@internationalgeographic · 39,800
#86
Tech Guide
@techguide · 41,573
#87

Read from Telegram’s recommendation API, most recently 13 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

Apna College
@aman_dhattarwal · 34,378
Telegram ranks this channel #1 of 51 here — alongside 50 others — read 3 September 2026
🤖 Coding News ⚡️
@CodingNews · 23,118
Telegram ranks this channel #2 of 68 here — alongside 67 others — read 19 September 2026
FrontEnd Development
@fedevelopment · 28,752
Telegram ranks this channel #3 of 88 here — alongside 87 others — read 9 September 2026
Telegram Shorts: Best Funny Videos
@AI_Agentic_Coding · 25,054
Telegram ranks this channel #4 of 67 here — alongside 66 others — read 14 September 2026
Web Development
@webde · 31,910
Telegram ranks this channel #4 of 84 here — alongside 83 others — read 5 September 2026
Codehub
@pythonadvisorai · 32,027
Telegram ranks this channel #4 of 71 here — alongside 70 others — read 5 September 2026
Artificial Intelligence
@Artificial_intelligence_in · 65,766
Telegram ranks this channel #4 of 90 here — alongside 89 others — read 21 August 2026
Programming & AI Tips 💡
@ProgrammingTip · 46,484
Telegram ranks this channel #5 of 73 here — alongside 72 others — read 27 August 2026
Front End World
@front_end_first · 25,950
Telegram ranks this channel #6 of 90 here — alongside 89 others — read 13 September 2026
HCL GUVI
@guvigeek · 26,890
Telegram ranks this channel #9 of 49 here — alongside 48 others — read 11 September 2026
Linuxgram 🐧
@linuxgram · 72,668
Telegram ranks this channel #10 of 90 here — alongside 89 others — read 19 August 2026
The Devs
@thedevs · 32,129
Telegram ranks this channel #11 of 82 here — alongside 81 others — read 5 September 2026
Learn JavaScript
@JavaScript_Trainings · 96,712
Telegram ranks this channel #11 of 68 here — alongside 67 others — read 16 August 2026
TheSanskaarSingh
@codeslearningTG · 272,410
Telegram ranks this channel #11 of 84 here — alongside 83 others — read 11 August 2026
Flutter Heroes
@flutterDev · 22,496
Telegram ranks this channel #12 of 87 here — alongside 86 others — read 20 September 2026
Learn React and NextJs
@React_Training · 62,922
Telegram ranks this channel #13 of 64 here — alongside 63 others — read 21 August 2026
Web design & 😃 development
@WebsiteDesignLearningGroup · 27,872
Telegram ranks this channel #14 of 63 here — alongside 62 others — read 10 September 2026
GitHub repos
@github_repos · 27,297
Telegram ranks this channel #15 of 76 here — alongside 75 others — read 11 September 2026
Curious Coder
@Curious_Coder · 134,549
Telegram ranks this channel #18 of 75 here — alongside 74 others — read 13 August 2026
Web Development
@webdev_trainings · 133,855
Telegram ranks this channel #19 of 65 here — alongside 64 others — read 13 August 2026
Coding Resources
@CodingResourcees · 43,841
Telegram ranks this channel #20 of 68 here — alongside 67 others — read 28 August 2026
Programmer Jokes
@programmerjokes · 106,959
Telegram ranks this channel #20 of 90 here — alongside 89 others — read 15 August 2026
CODING SOLUTION - Placement Jobs & Materials
@codingsolution_IT · 132,461
Telegram ranks this channel #20 of 86 here — alongside 85 others — read 13 August 2026
Tech Guide
@techguide · 41,573
Telegram ranks this channel #21 of 76 here — alongside 75 others — read 29 August 2026

This channel appears in 72 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“Computer Science and Programming” (@computer_science_and_programming), 140,074 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/computer_science_and_programming.

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.