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Channel

NullsCode (NoCode, LowCode, Ai)

@nullscode

On this record: Growth · Engagement · Reactions · Advertising · Posts · Cite this entry

4,124subscribers

+36 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002494549426
TypeChannel
Username@nullscode
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live30 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 30 August 2026
On Telegramt.me/nullscode

Growth

4,0854,1244,104.57 August 2026 — 4,088 subscribers8 August 2026 — 4,088 subscribers11 August 2026 — 4,085 subscribers15 August 2026 — 4,093 subscribers18 August 2026 — 4,101 subscribers21 August 2026 — 4,112 subscribers24 August 2026 — 4,116 subscribers27 August 2026 — 4,121 subscribers30 August 2026 — 4,124 subscribers7 August 202630 August 2026
9 measurements spanning 23 days, net +36. 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 4,079–4,130 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
30 Aug 2026, 08:534,124+3
27 Aug 2026, 13:254,121+5
24 Aug 2026, 19:264,116+4
21 Aug 2026, 02:534,112+11
18 Aug 2026, 13:154,101+8
15 Aug 2026, 02:444,093+8
11 Aug 2026, 13:184,085-3
8 Aug 2026, 11:444,088no change
7 Aug 2026, 15:464,088first reading

Engagement

20 posts held, back to 17 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
39.7%
avg views ÷ 4,124 subscribers
Avg views / post
1,640
6 posts measured
Reaction rate
0.824%
reactions ÷ views · ER floor
Posts in window
6
of 20 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 7 August 2026
Posts held20 (17 June 20267 August 2026)
Views total9,832
Reactions total81
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 05:37 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.

Reaction mix

269 reactions across 20 posts, in 11 distinct kinds. The most used accounts for 48.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍13048.3%
🔥8632.0%
3211.9%
🍓72.60%
💊51.86%
🐳31.12%
😁20.743%
🌚10.372%
🗿10.372%
😱10.372%
😴10.372%

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 269reactions 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 17 June 2026 to 7 August 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
5.00%
1 of 20 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
4,100
over 1 measured post
Median views · rest
3,100
over 19 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 20 most recent posts we hold, published 17 June 2026 to 7 August 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

7 Aug 2026, 13:23 UTC832 views4 reactionsread 8 August 2026
Photo

👀 НОВЫЙ AI ОТ META! Протестировал Muse Spark 1.2 на четырёх проектах: 🧙 low-poly 3D маг 🐠 3D-аквариум 🎨 лендинг 🦖 игра Google Dino Тест получился очень неоднозначным: модель в разных задачах показала себя совершенно по-разному. Но кое-где Muse Spark реально смог удивить. Meta снова в игре? 👀 👉 https://youtu.be/vD60rEARJ-U 📌 Tokenator: https://tokenator.top/?trck=nullzcode #MuseSpark12 #MetaAI #AICoding #vibe

👍21🔥1

4 Aug 2026, 19:16 UTC≈1,370 views17 reactionsread 8 August 2026
Photo

⚔️ БИТВА ДВУХ КИТАЙСКИХ ТИТАНОВ! Сравнил Qwen 3.8 Max и DeepSeek V4 Flash 0731 на четырёх новых проектах: 🖥️ 3D-сцена рабочего места 💻 симуляция операционной системы 🌐 веб-приложение 📱 мобильное приложение Один — мощный китайский флагман. Второй — невероятно дешёвая модель, которая иногда способна удивлять. Кто оказался сильнее, а кто выгоднее за свои деньги? 👉 https://youtu.be/wPSv403mnz8 📌 Tokenator: https:/

👍11🔥51

3 Aug 2026, 19:15 UTC≈1,770 views25 reactionsread 8 August 2026
Photo

🔥 ОФИЦИАЛЬНЫЙ QWEN 3.8 MAX ВЫШЕЛ! Протестировал новый китайский флагман сразу на четырёх проектах: 🧙 low-poly 3D маг 🐠 3D-аквариум 🎨 лендинг 🦖 игра Google Dino После официального релиза было особенно интересно проверить, способен ли Qwen конкурировать с самыми топовыми моделями для кодинга. И тест получился действительно мощным 👀 👉 https://youtu.be/ur_w7bITusE 📌 Tokenator: https://tokenator.top/?trck=nullzcode

👍17🔥53

2 Aug 2026, 14:11 UTC≈1,900 views13 reactionsread 8 August 2026
Photo

⚡ Gemini 3.6 Flash на тесте! Проверил новую быструю модель Google на четырёх проектах: 🧙 low-poly 3D маг 🐠 3D-аквариум 🎨 лендинг 🦖 игра Google Dino Gemini Flash позиционируется как эффективная модель для кодинга и разработки, поэтому было интересно проверить её на реальных задачах. И без спойлеров — результат оказался заметно интереснее, чем можно было ожидать от бюджетной модели. 👉 https://youtu.be/I2nLRbvm4CA

👍6🔥4😁21

1 Aug 2026, 17:54 UTC≈1,940 views10 reactionsread 8 August 2026
Photo

💸 БЕСПЛАТНЫЙ ВАЙБКОДИНГ! Протестировал Ling 3.0 Flash — нейросеть, которой сейчас можно пользоваться бесплатно. 4 теста: 🧙 low-poly 3D маг 🐠 3D-аквариум 🎨 лендинг 🦖 игра Google Dino До уровня топовых моделей ей ещё далеко, но за ноль долларов результат получился довольно интересным. Стоит ли пользоваться бесплатным Ling 3.0 Flash? Показываю в новом видео 👇 👉 https://youtu.be/XvnlDS_1WDg 📢 Покупай ChatGPT и дру

👍7🔥3

31 Jul 2026, 16:39 UTC≈2,020 views12 reactionsread 8 August 2026
Photo

💸 ВАЙБКОДИНГ ЗА ТРИ КОПЕЙКИ! Протестировал DeepSeek V4 Flash 0731 — модель, которая стоит всего $0.14 за миллион входящих токенов. 4 теста: 🧙 low-poly 3D маг 🐠 3D-аквариум 🎨 лендинг 🦖 игра Google Dino Главный вопрос: может ли настолько дешёвая модель реально конкурировать в кодинге? Результат оказался интереснее, чем я ожидал 👀 👉 https://youtu.be/Sv4ckDEF7Bg 📌 Tokenator: https://tokenator.top/?trck=nullzcode

🔥7👍32

30 Jul 2026, 18:52 UTC≈2,010 views18 reactionsread 8 August 2026
Photo

🔥 Qwen 3.8 Max на тесте! Проверил новую топовую модель от Alibaba сразу на четырёх проектах: 🧙 low-poly 3D маг 🐠 3D-аквариум 🎨 лендинг 🦖 игра Google Dino Тест получился очень интересным: Qwen местами добавлял намного больше логики, чем от него вообще просили. Насколько сильным оказался новый китайский флагман — смотри в полном обзоре 👇 👉 https://youtu.be/DioqT1aWGzo 📌 Tokenator: https://tokenator.top/?trck=nul

👍13🔥41

29 Jul 2026, 15:09 UTC≈2,290 views17 reactionsread 8 August 2026
Photo

🔥 Claude Opus 5 на тесте! Проверил новый флагман Anthropic сразу на четырёх проектах: 🧙 low-poly 3D маг 🐠 3D-аквариум 🇻🇳 лендинг про Вьетнам 🦖 игра Google Dino Opus снова претендует на звание одного из главных королей вайбкодинга. Насколько мощной получилась новая версия — смотри в полном тесте 👇 👉 https://youtu.be/8s5wewcWyYg 📌 Tokenator: https://tokenator.top/?trck=nullzcode #ClaudeOpus5 #Anthropic #AICodin

🍓6👍4💊43

28 Jul 2026, 18:05 UTC≈2,300 views16 reactionsread 8 August 2026
Photo

🔥 Kimi K3 на тесте! Проверил новую модель от Moonshot AI на нескольких проектах: 🧙 low-poly 3D маг 🐠 3D-аквариум 🇻🇳 лендинг про Вьетнам 🦖 игра в low-poly стиле И скажу так: Kimi K3 показал реально очень сильный уровень. По ощущениям, Китай снова всерьёз претендует на высшую лигу AI-кодинга. 👉 https://youtu.be/rCCxEmdSycg 📌 Tokenator: https://tokenator.top/?trck=nullzcode #KimiK3 #MoonshotAI #AICoding #vibecodi

👍11🔥4😱1

14 Jul 2026, 17:40 UTC≈3,490 views16 reactionsread 8 August 2026
Photo

🔥 ПРОТЕСТИРОВАЛ ВСЕ ВЕРСИИ GPT-5.6! В одном видео сравнил GPT-5.6 Luna, Terra и Sol на одинаковых проектах: 🍦 low-poly 3D-модель 💻 лендинг по веб-кодингу 🍄 игра в стиле Super Mario Три версии, три разных уровня и очень наглядная разница в результатах. Какая модель стала топ-1, а какую лучше не выбирать? 👉 https://youtu.be/nWWn1_7JQL4 📌 Tokenator: https://tokenator.top/?trck=nullzcode #GPT56 #OpenAI #AICoding

🔥94👍3

13 Jul 2026, 18:09 UTC≈3,180 views17 reactionsread 8 August 2026
Photo

⚔️ БИТВА ДВУХ КОРОЛЕЙ AI! Сравнил GPT-5.6 Sol и Claude Fable 5 на четырёх совершенно новых проектах: 🖥️ 3D-сцена рабочего пространства 🎨 стильный лендинг 💻 симуляция операционной системы 🚗 автомобильная игра от первого лица Обе модели показали флагманский уровень, но в разных задачах раскрылись совершенно по-разному. Кто оказался сильнее — новый GPT или легендарный Fable? 👉 https://youtu.be/wen_N750sOA 📌 Token

🔥94👍4

11 Jul 2026, 17:32 UTC≈3,100 views24 reactionsread 8 August 2026
Photo

👑 НОВЫЙ ТОП-1 ВАЙБКОДИНГА? Протестировал GPT-5.6 Sol от OpenAI сразу на нескольких серьёзных проектах: 🎨 low-poly 3D 🐠 аквариум с рыбками 🇻🇳 лендинг про Вьетнам 🦖 игра Google Dino 🎬 веб-приложение для подбора фильмов И скажу так: новая модель показала действительно флагманский уровень. Один из самых сильных и универсальных тестов за последнее время. — смотри полный обзор 👇 👉 https://youtu.be/4HJ8kshgUzk 📌 Toke

🔥165🐳1🗿1😴1

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

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 30 August 2026 — this entry's latest reading, not the date you are reading this.

“NullsCode (NoCode, LowCode, Ai)” (@nullscode), 4,124 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/nullscode.

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.