Telegram RegisterThe public register of Telegram
Telegram profile photo for Coding & AI Resources

Channel

Coding & AI Resources

@leadcoding

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

35,444subscribers

+57 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001938044052
TypeChannel
Username@leadcoding
Description📚Get daily updates for : ✅ Free resources ✅ All Free notes ✅ Internship,Jobs and a lot more....😍 📍Join & Share this channel with your friends and college mates ❤️ Managed by: @love_data Buy ads: https://telega.io/c/leadcoding
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live24 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 24 September 2026
On Telegramt.me/leadcoding

Topic

Education — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 53% 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

35,38335,45535,4197 August 2026 — 35,387 subscribers7 August 2026 — 35,387 subscribers7 August 2026 — 35,383 subscribers8 August 2026 — 35,389 subscribers9 August 2026 — 35,398 subscribers10 August 2026 — 35,426 subscribers11 August 2026 — 35,425 subscribers12 August 2026 — 35,420 subscribers13 August 2026 — 35,426 subscribers15 August 2026 — 35,427 subscribers16 August 2026 — 35,424 subscribers17 August 2026 — 35,431 subscribers18 August 2026 — 35,437 subscribers19 August 2026 — 35,431 subscribers21 August 2026 — 35,428 subscribers22 August 2026 — 35,432 subscribers24 August 2026 — 35,424 subscribers25 August 2026 — 35,420 subscribers27 August 2026 — 35,413 subscribers28 August 2026 — 35,404 subscribers29 August 2026 — 35,409 subscribers30 August 2026 — 35,424 subscribers31 August 2026 — 35,438 subscribers1 September 2026 — 35,449 subscribers2 September 2026 — 35,455 subscribers3 September 2026 — 35,451 subscribers4 September 2026 — 35,454 subscribers8 September 2026 — 35,426 subscribers11 September 2026 — 35,441 subscribers13 September 2026 — 35,446 subscribers14 September 2026 — 35,433 subscribers16 September 2026 — 35,444 subscribers18 September 2026 — 35,447 subscribers24 September 2026 — 35,444 subscribers35,4447 August 202624 September 2026
34 measurements spanning 48 days, net +57. 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 35,372–35,466 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
24 Sept 2026, 20:3535,444-3
18 Sept 2026, 16:2035,447+3
16 Sept 2026, 06:5735,444+11
14 Sept 2026, 13:3835,433-13
13 Sept 2026, 00:1935,446+5
11 Sept 2026, 02:4135,441+15
8 Sept 2026, 04:5735,426-28
4 Sept 2026, 21:1935,454+3
3 Sept 2026, 07:0835,451-4
2 Sept 2026, 02:4535,455+6
1 Sept 2026, 05:1535,449+11
31 Aug 2026, 07:4435,438+14
30 Aug 2026, 05:3835,424+15
29 Aug 2026, 04:0835,409+5
28 Aug 2026, 01:1635,404-9
27 Aug 2026, 04:2835,413-7
25 Aug 2026, 04:1335,420-4
24 Aug 2026, 02:4335,424-8
22 Aug 2026, 08:0735,432+4
21 Aug 2026, 01:1635,428first reading

Engagement

24 posts held, back to 12 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 86 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.47%
avg views ÷ 35,444 subscribers
Avg views / post
1,230
4 posts measured
Reaction rate
0.163%
reactions ÷ views · ER floor
Posts in window
4
of 24 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 20 September 2026
Posts held24 (12 June 2026 – 20 September 2026)
Views total4,923
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 05:10 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
247
Videos
1
Links
186

Lifetime counters from Telegram’s own channel header, read 27 September 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
30s
Average length
30s

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

89 reactions across 22 posts, in 2 distinct kinds. The most used accounts for 98.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤8898.9%
🥰11.12%

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 22 of the 24 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 89 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 24 most recent posts we hold, published 12 June 2026 to 20 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.

Advertising

Ad load
4.17%
1 of 24 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
816
over 1 measured post
Median views · rest
2,090
over 23 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Measured over the 24 most recent posts we hold, published 12 June 2026 to 20 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

20 Sept 2026, 19:45 UTC687 views1 reactionsread 27 September 2026

🧠 7 Resume Tips for Data Science & ML Roles 📄✅ 1️⃣ Start with a Strong Summary ⦁ Highlight skills, tools, and domain experience ⦁ Mention years of experience and key achievements 2️⃣ Showcase Projects that Matter ⦁ Focus on real-world impact, not just toy datasets ⦁ Mention metrics (e.g., “Improved accuracy by 12%”) 3️⃣ Tailor for the Role ⦁ Align keywords with the job description ⦁ Use relevant tools and models m…

❤1

19 Sept 2026, 05:27 UTC816 views1 reactionsread 27 September 2026
AdvertisementVideo

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❤1

14 Sept 2026, 12:48 UTC≈1,280 views2 reactionsread 27 September 2026

Google Chrome has over 100K extensions. But these 5 are the most unique I discovered 👇 1/ Eightify: https://chromewebstore.google.com/detail/eightify-ai-youtube-summa/cdcpabkolgalpgeingbdcebojebfelgb 2/ Glasp: https://chromewebstore.google.com/detail/glasp-web-highlighter-pdf/blillmbchncajnhkjfdnincfndboieik 3/ Monica: https://chromewebstore.google.com/detail/monica-all-in-one-ai-assi/ofpnmcalabcbjgholdjcjblkibolb…

❤2

4 Aug 2026, 20:03 UTC≈3,440 views12 reactionsread 27 September 2026

Top 21 skills to learn this year 👇 1. Artificial Intelligence and Machine Learning: Understanding AI algorithms and applications. 2. Data Science: Proficiency in tools like Python/ R, Jupyter Notebook, and GitHub, with the ability to apply data science algorithms to solve real-world problems. 3. Cybersecurity: Protecting data and systems from cyber threats. 4. Cloud Computing: Proficiency in platforms like AWS, Azur…

❤11🥰1

31 Jul 2026, 19:17 UTC≈2,740 views3 reactionsread 27 September 2026

Data Science Roadmap | |-- Core Foundations | |-- Mathematics | | |-- Linear Algebra | | |-- Calculus Basics | | |-- Probability | | |-- Statistics | | | |-- Programming | | |-- Python | | | |-- NumPy | | | |-- Pandas | | | |-- Matplotlib | | | |-- Seaborn | | |-- R | | |-- SQL | |-- Data Handling | |-- Data Collection | | |-- APIs | | |-- Web Scrapi…

❤3

29 Jul 2026, 18:12 UTC≈1,950 views5 reactionsread 27 September 2026

Google, Harvard, and even OpenAI are offering FREE Generative AI courses (no payment required) 🎓 Here are 8 FREE courses to master AI in 2024: 1. Google AI Courses 5 courses covering generative AI from the ground up https://www.cloudskillsboost.google/paths/118 2. Microsoft AI Course Basics of AI, neural networks, and deep learning https://microsoft.github.io/AI-For-Beginners/ 3. Introduction to AI with Python (H…

❤5

28 Jul 2026, 04:12 UTC≈1,990 views4 reactionsread 27 September 2026
Photo

💸 Get paid to talk. Yapple pays you real cash to your UPI for short conversations on your phone. Those recordings are used to train AI to understand Indian languages and dialects — and you get paid for every one. No skills, no investment. ✅ Earn from home, on your own time ✅ Talk about anything, in your own language ✅ Help build AI that actually understands your language ✅ Paid directly to UPI 🎁 Refer a friend → ₹300…

❤4

27 Jul 2026, 19:05 UTC≈2,090 views6 reactionsread 27 September 2026

✅ Free Resources to learn Full Stack Development: HTML → http://html.spec.whatwg.org/multipage/ CSS3 → http://web.dev/learn/css/ Javascript → https://t.me/javascript_courses React → http://reactjs.org Python → http://python.org Java → http://java67.com Ruby → http://gorails.com SQL → https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v MongoDB → http://learn.mongodb.com AWS → http://aws.amazon.com/training…

❤6

24 Jul 2026, 15:14 UTC≈2,090 views4 reactionsread 27 September 2026

🚀 Backend Developer Roadmap 🚀 1. Foundation: 📚 Learn fundamental programming concepts such as variables, data types, and control flow. Master a programming language like Python, Java, or JavaScript. 2. Database Management: 🛢️ Understand database systems like SQL and NoSQL. Learn about relational databases (e.g., MySQL, PostgreSQL) and non-relational databases (e.g., MongoDB, Redis). 3. API Development: 🌐 Explore R…

❤4

23 Jul 2026, 06:36 UTC≈1,670 viewsread 27 September 2026
Photo

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Showing the 12 most recent of 24 posts we hold for @leadcoding. 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.

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

Web Development - HTML, CSS & JavaScript
@javascript_courses · 55,698
3 posts
Business Analysts | SQL For Data Analytics | Excel | Artificial Intelligence | Power BI | Tableau | Python Resources
@analystcommunity · 4,559
1 post
Finance, Trading & Stock Marketing Books
@BestFinanceBooks · 25,148
1 post
Crypto Trends
@Bitcoin_Crypto_Web · 23,194
1 post
Machine Learning & Artificial Intelligence | Data Science Free Courses
@datasciencefree · 68,434
1 post
Data Science & Machine Learning
@datasciencefun · 77,580
1 post
Digital Marketing Tricks
@digitalmarketing_trick · 22,264
1 post
Learn English Speaking | Daily Conversation | IELTS | Grammar
@englishlearnerspro · 41,600
1 post
CyberSecurity & AI Experts
@EthicalHackingToday · 43,668
1 post
MS Excel for Data Analysis
@excel_analyst · 72,836
1 post
Finance | Trading Tips | Stock Marketing | Business News
@Finance_Stock_Trading · 23,207
1 post
Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert
@free4unow_backup · 74,600
1 post
Freelancing Tips: Earn Money Online
@freelancing_upwork · 22,366
1 post
Artificial Intelligence
@machinelearning_deeplearning · 55,794
1 post
Power BI & Tableau Resources
@PowerBI_analyst · 55,842
1 post
Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
@programming_guide · 56,038
1 post
Python for Data Analysts
@pythonanalyst · 51,857
1 post
Data Engineers
@sql_engineer · 11,126
1 post
SQL Programming Resources
@sqlanalyst · 76,675
1 post
Data Analytics
@sqlspecialist · 110,886
1 post
Finance, Investing & Stock Marketing
@stockmarketinginsights · 25,970
1 post
TrueMinds | Personality Development - Words of Wisdom & Life Quotes
@trueminds · 27,344
1 post
UI UX Designers | Photoshop & Video Editing
@videoeditingskill · 2,487
1 post
Web Development
@webdevcoursefree · 79,578
1 post

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.

ChatGPT & Free AI Resources
@learngpt · 38,216
#1
Best AI Tools | ChatGPT | Perplexity | Deepseek | Artificial Intelligence
@AI_Best_Tools · 58,470
#2
Python Programming Books
@dsabooks · 59,137
#3
Python Projects & Resources
@pythondevelopersindia · 63,430
#4
Machine Learning & Artificial Intelligence | Data Science Free Courses
@datasciencefree · 68,434
#5
SQL Programming Resources
@sqlanalyst · 76,675
#6
Web Development - HTML, CSS & JavaScript
@javascript_courses · 55,698
#7
Coding Projects
@Programming_experts · 67,682
#8
Web Development & Javascript Notes - Frontend Resources
@webdevelopmentbook · 32,466
#9
Data Analytics
@sqlspecialist · 110,886
#10
Data Science & Machine Learning
@DataScienceInterviews · 27,673
#11
Startup & Business Ideas
@Learn_Startup · 32,970
#12
Artificial Intelligence
@machinelearning_deeplearning · 55,794
#13
Coding & Data Science Resources
@codingfreebooks · 32,555
#14
Data Science & Machine Learning
@datasciencefun · 77,580
#15
Software Developer Jobs & IT Internships
@internshiptojobs · 48,447
#16
Computer Science Interview Books
@InterviewBooks · 40,516
#17
Data Science Projects
@pythonspecialist · 56,321
#18
Power BI & Tableau Resources
@PowerBI_analyst · 55,842
#19
Data Science Portfolio - Kaggle Datasets & AI Projects | Artificial Intelligence
@DataPortfolio · 38,028
#20
Udemy Free Courses | Coding | ChatGPT | AI Crypto | Microsoft Certificate | Artificial Intelligence
@udemy_free_courses_with_certi · 70,681
#21
Python Interviews
@PythonInterviews · 28,969
#22
MS Excel for Data Analysis
@excel_analyst · 72,836
#23
Artificial Intelligence & ChatGPT Prompts
@Curiousprogrammer · 42,238
#24
Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
@programming_guide · 56,038
#25
Coding Interview Resources
@crackingthecodinginterview · 52,232
#26
Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources
@sqlproject · 39,680
#27
Python for Data Analysts
@pythonanalyst · 51,857
#28
Web Development
@webdevcoursefree · 79,578
#29
Data Analysis Books | Python | SQL | Excel | Artificial Intelligence | Power BI | Tableau | AI Resources
@learndataanalysis · 53,262
#30
Data Analyst Interview Resources
@dataanalystinterview · 52,609
#31
Python Projects & Free Books
@pythonfreebootcamp · 40,776
#32
Programing Resources: Python - Java - R - SQL - Javascript - C++
@the_programming_girls · 30,491
#33
Data Analyst Jobs
@jobs_SQL · 91,421
#34
Data Analytics & AI | SQL Interviews | Power BI Resources
@Data_Visual · 27,546
#35
AI Prompts | ChatGPT | Google Gemini | Claude
@aiindi · 58,966
#36
Generative AI
@generativeai_gpt · 30,868
#37
Python Courses & Resources
@Python53 · 50,715
#38
Machine Learning
@MachineLearning9 · 41,424
#39
Remote Jobs — Daily LinkedIn Picks 💼
@Jobs204 · 22,576
#40
Data Science
@sql_databases · 70,599
#41
Learn Python Coding
@pythonRe · 40,364
#42
AI Technology | Claude & ChatGPT Prompts
@aijobss · 13,777
#43
Data Analytics
@DataAnalyticsX · 30,208
#44
AI & ML Papers
@PaperNexus · 33,858
#45
Learn Python
@LearnPython3 · 125,222
#46
Learn JavaScript
@JavaScript_Trainings · 96,712
#47
Cloud Engineers | AWS | Azure | GCP Devops Notes
@AWS_GCP_Azure · 5,465
#48
Programming, data science, ML - free courses by Big Data Specialist
@bigdataspecialist · 26,486
#49
AI - Artificial Intelligence
@aineeringdotcom · 16,029
#50
Web Development
@webdev_trainings · 133,855
#51
Data Engineers
@sql_engineer · 11,126
#52
AI.News.Daily
@ainews_daily · 3,926
#53
AI and Machine Learning
@machine_learning_courses · 95,724
#54
UDEMY FREE ️| Coursevania
@Udemy4 · 251,721
#55
Web Development
@web_dev_bds · 4,373
#56
Coding Interview Preparation
@coding_interview_preparation · 5,909
#57
Learn Business and Finance
@Learn_Business_101 · 52,476
#58
Machine Learning with Python
@CodeProgrammer · 68,301
#59
Data science/ML/AI
@datascience_bds · 13,926
#60
Data Science & Machine Learning Free Resources
@datascience69 · 20,492
#61
Freelancing Tips: Earn Money Online
@freelancing_upwork · 22,366
#62
Data Visualization
@data_visualization_bds · 6,314
#63
NOTES GALLERY
@NotesGallery1 · 90,300
#64
Artificial Intelligence
@Artificial_intelligence_in · 65,766
#65
Artificial Intelligence | ChatGPT AI | Data Science & Machine Learning
@aichads · 22,944
#66
TrueMinds | Personality Development - Words of Wisdom & Life Quotes
@trueminds · 27,344
#67
Finance, Trading & Stock Marketing Books
@BestFinanceBooks · 25,148
#68
Jobs | Internships | Placement | Interviews
@getjobss · 113,437
#69
Finance, Investing & Stock Marketing
@stockmarketinginsights · 25,970
#70
Finance | Trading Tips | Stock Marketing | Business News
@Finance_Stock_Trading · 23,207
#71
Learn English Speaking | Daily Conversation | IELTS | Grammar
@englishlearnerspro · 41,600
#72
Crypto Trends
@Bitcoin_Crypto_Web · 23,194
#73
Google Jobs - FAANG Companies • Facebook • Microsoft • Amazon • Netflix • Apple
@FAANGJob · 26,890
#74
Health Fitness & Diet Tips - Gym Motivation 💪
@HealthFitnessGymTips · 19,780
#75
Udemy
@udemyrip · 68,291
#76
Engineering Programs and Mobile Apps
@ProgramsStore · 15,417
#77
DevOps(Document Repository)
@DevopsDoc · 9,883
#78
Data science research papers
@data_science_research_papers · 3,195
#79

Read from Telegram’s recommendation API, most recently 2 September 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.

Programing Resources: Python - Java - R - SQL - Javascript - C++
@the_programming_girls · 30,491
Telegram ranks this channel #8 of 79 here — alongside 78 others — read 7 September 2026
Software Developer Jobs & IT Internships
@internshiptojobs · 48,447
Telegram ranks this channel #8 of 84 here — alongside 83 others — read 26 August 2026
STUDY MATERIAL - Placement Jobs & Materials
@studymaterial_IT · 92,145
Telegram ranks this channel #10 of 79 here — alongside 78 others — read 16 August 2026
Power BI & Tableau Resources
@PowerBI_analyst · 55,842
Telegram ranks this channel #18 of 84 here — alongside 83 others — read 23 August 2026
Startup & Business Ideas
@Learn_Startup · 32,970
Telegram ranks this channel #21 of 81 here — alongside 80 others — read 4 September 2026
MS Excel for Data Analysis
@excel_analyst · 72,836
Telegram ranks this channel #23 of 84 here — alongside 83 others — read 20 August 2026
SQL Programming Resources
@sqlanalyst · 76,675
Telegram ranks this channel #23 of 85 here — alongside 84 others — read 19 August 2026
Data Analytics & AI | SQL Interviews | Power BI Resources
@Data_Visual · 27,546
Telegram ranks this channel #24 of 83 here — alongside 82 others — read 10 September 2026
Web Development & Javascript Notes - Frontend Resources
@webdevelopmentbook · 32,466
Telegram ranks this channel #24 of 75 here — alongside 74 others — read 5 September 2026
Finance, Trading & Stock Marketing Books
@BestFinanceBooks · 25,148
Telegram ranks this channel #29 of 77 here — alongside 76 others — read 14 September 2026
Finance | Trading Tips | Stock Marketing | Business News
@Finance_Stock_Trading · 23,207
Telegram ranks this channel #30 of 80 here — alongside 79 others — read 19 September 2026
TrueMinds | Personality Development - Words of Wisdom & Life Quotes
@trueminds · 27,344
Telegram ranks this channel #30 of 82 here — alongside 81 others — read 11 September 2026
Artificial Intelligence & ChatGPT Prompts
@Curiousprogrammer · 42,238
Telegram ranks this channel #30 of 81 here — alongside 80 others — read 29 August 2026
Python Interviews
@PythonInterviews · 28,969
Telegram ranks this channel #31 of 86 here — alongside 85 others — read 9 September 2026
ChatGPT & Free AI Resources
@learngpt · 38,216
Telegram ranks this channel #31 of 79 here — alongside 78 others — read 31 August 2026
Data Science & Machine Learning
@DataScienceInterviews · 27,673
Telegram ranks this channel #32 of 86 here — alongside 85 others — read 10 September 2026
Learn English Speaking | Daily Conversation | IELTS | Grammar
@englishlearnerspro · 41,600
Telegram ranks this channel #32 of 80 here — alongside 79 others — read 29 August 2026
Computer Science Interview Books
@InterviewBooks · 40,516
Telegram ranks this channel #33 of 78 here — alongside 77 others — read 30 August 2026
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@pythonanalyst · 51,857
Telegram ranks this channel #35 of 82 here — alongside 81 others — read 24 August 2026
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@LMTPlacements · 54,280
Telegram ranks this channel #35 of 59 here — alongside 58 others — read 23 August 2026
Crypto Trends
@Bitcoin_Crypto_Web · 23,194
Telegram ranks this channel #38 of 77 here — alongside 76 others — read 19 September 2026
Coding & Data Science Resources
@codingfreebooks · 32,555
Telegram ranks this channel #38 of 79 here — alongside 78 others — read 5 September 2026
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@datascience69 · 20,492
Telegram ranks this channel #40 of 82 here — alongside 81 others — read 27 September 2026
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@pythondevelopersindia · 63,430
Telegram ranks this channel #40 of 86 here — alongside 85 others — read 21 August 2026

This channel appears in 41 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 24 September 2026 — this entry's latest reading, not the date you are reading this.

“Coding & AI Resources” (@leadcoding), 35,444 subscribers as measured 24 September 2026. Telegram Register, tgregister.com/channel/leadcoding.

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.