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Channel

ВАЙБ | КОД | ДЕНЬГИ

@vibecodecash

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

51subscribers

+38 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003013673010
TypeChannel
Username@vibecodecash
Created2 September 2025measured — dated from the channel’s first post
First recorded12 August 2026
Last confirmed live30 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 30 August 2026
On Telegramt.me/vibecodecash

Growth

1351327 August 2026 — 13 subscribers12 August 2026 — 13 subscribers15 August 2026 — 37 subscribers23 August 2026 — 48 subscribers30 August 2026 — 51 subscribers7 August 202630 August 2026
5 measurements spanning 23 days, net +38. 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 7–57 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
30 Aug 2026, 02:0551+3
23 Aug 2026, 06:1248+11
15 Aug 2026, 20:3637+24
12 Aug 2026, 02:4613no change
7 Aug 2026, 12:0213first reading

Engagement

10 posts held, back to 2 September 2025the 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
66.7%
avg views ÷ 51 subscribers
Avg views / post
34.0
2 posts measured
Reaction rate
13.2%
reactions ÷ views · ER floor
Posts in window
2
of 10 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 8 August 2026
Posts held10 (2 September 20258 August 2026)
Views total68
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 02:46 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.

Reaction mix

36 reactions across 9 posts, in 6 distinct kinds. The most used accounts for 44.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1644.4%
1130.6%
👍411.1%
38.33%
👾12.78%
💯12.78%

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 9 of the 10 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 36reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 2 September 2025 to 8 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.

Recent posts

8 Aug 2026, 12:55 UTC23 views4 reactionsread 12 August 2026

URL В ПРОМПТ ДЛЯ АГЕНТА OpenAI совместно с студией Lynto Labs выкатили бесплатный тулз на базе GPT 5.6 для тех, кто постоянно видит крутые сайты и думает: «как это нормально объяснить ИИ?» Вставляешь URL, выбираешь Fast или Pro, и получаешь готовый английский промпт для Cursor, Claude, v0 или Lovable. Он сам разбирает: визуальный стиль сайта, структуру, шрифты, цвета, отступы, компоненты, адаптив и состояния инте

2🔥2

2 Aug 2026, 07:05 UTC45 views5 reactionsread 12 August 2026

Meta выложила Astryx. Дизайн-система, на которой уже работает 13 000+ внутренних приложений Meta. Что внутри: • 160+ готовых React-компонентов с тёмной темой и гибкой стилизацией из коробки • Готовые темы — меняешь бренд без переписывания системы с нуля • Ready-to-ship шаблоны под типовые страницы (просто вставляешь свой контент) • Собрана на React + StyleX Систему заточили под то, чтобы ей пользовались AI-агенты:

🔥4👍1

1 Aug 2026, 13:17 UTC38 views7 reactionsread 12 August 2026

Собрал open-source skill для голосовых агентов в Codex Поднять демо voice agent сейчас несложно. Сложнее понять, почему через пять минут TTS перестал говорить, WebSocket закрылся, CUDA wheel не подошёл, а после interruption старое аудио всё ещё играет. Я собрал $codex-voice-agent. Это skill, который учит Codex работать с Hugging Face Speech-to-Speech и OpenAI Realtime-совместимыми голосовыми агентами. Он умеет:

32🔥2

1 Aug 2026, 09:19 UTC28 views4 reactionsread 12 August 2026

Как я выбираю, какую идею делать следующей Сначала ставлю идее от 0 до 2 баллов по четырём пунктам: • боль: люди реально жалуются на проблему? • деньги: уже платят за похожие решения? • доступ: я знаю, где найти первых пользователей? • скорость: прототип можно собрать за 3 дня? Меньше 6 из 8 баллов, не начинаю. Потом проверка: Нахожу 10 обсуждений этой проблемы. Пишу 5 потенциальным пользователям. Собираю лендинг

1👾1💯1🔥1

30 Jul 2026, 12:56 UTC53 views4 reactionsread 12 August 2026
File

Собрал универсальный промпт для аудита и оптимизации бекенда. Он помогает найти медленные SQL-запросы, N+1, проблемы с индексами, кешем, пулами соединений и таймаутами. ИИ сначала анализирует код, логи и метрики, а потом выдает конкретный план исправлений с приоритетами, рисками и проверкой результата. Подойдет для Cursor, Claude и ChatGPT. Лучше всего отправлять вместе с кодом, конфигами и логами проекта.

🔥31

29 Jul 2026, 15:30 UTC56 views4 reactionsread 12 August 2026

Нашёл у OpenAI на GitHub codex-security. CLI и SDK, которые сами ищут уязвимости в коде. npx codex-security scan /path/to/repo, и дальше оно само разбирает репозиторий: решает что смотреть первым делом, читает файлы, проверяет находки и достраивает, как их можно использовать в атаке. Есть режим –diff origin/main, сканирует только изменения в PR. И git hook, который блокирует коммит с серьёзной находкой. Агент читае

👍21🔥1

27 Jul 2026, 09:11 UTC285 views3 reactionsread 12 August 2026

Залил на GitHub два новых open-source скилла для работы с Instagram Reels. Они помогают находить ролики, которые реально выбились из обычных показателей автора, разбирать их хуки и механику, искать свободные контентные углы и проверять сценарии ещё до съёмки. Версия для Codex: https://github.com/Rag-hubk/codex-reels-viral Версия для Claude Code: https://github.com/Rag-hubk/claude-code-reels-viral Внутри есть анали

🔥21

26 Jul 2026, 11:18 UTC65 views3 reactionsread 12 August 2026

Забирайте бонус 10% к балансу на каждое пополнение API Claude и Codex от claudestore.store Codex работает очень бодро Claude тоже но бывают небольшие перебои 😅 ЗАБРАТЬ

1👍1🔥1

26 Jul 2026, 02:23 UTC61 views2 reactionsread 12 August 2026

Выкатил две open-source AppSec skills для AI coding agents. Обе помогают не просто «найти подозрительный код», а нормально пройти путь: threat model → реальные attack paths → безопасная валидация → понятный remediation plan. Для Codex, с упором на аудит, фиксы и regression tests: https://github.com/Rag-hubk/diffguard-codex-skill Для Claude Code, с упором на adversarial review, threat modeling и hardening plan: htt

2

Showing the 10 most recent of 10 posts we hold for @vibecodecash. 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 — 447,845 of 1,628,927entries 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.

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.

“ВАЙБ | КОД | ДЕНЬГИ” (@vibecodecash), 51 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/vibecodecash.

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.