В дополнение к новой метрике для ASO (🔗тут), появилась еще парочка минорных обнов, которые пока отдельно не анонсировали, но хотя бы обновили документацию: • Store analysis теперь не отдельная тулза, а просто хаб, из которого вы уже направляетесь в Grow Users, Store Listings, Statistics • Старый раздел конверсий теперь вообще недоступен, данные ищем в Store Listings А поняли мы это, когда искали конверсию из просмо…

Channel
Ден Марков 📱 Mobile Money Makers
@mobilemoneymakers
On this record: Also posting the same content · Growth · Engagement · Stars · Posts · Citations · Cite this entry
3,818subscribers
+17 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001511561662 |
|---|---|
| Type | Channel |
| Username | @mobilemoneymakers |
| Created | 12 August 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/mobilemoneymakers |
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 03:17 | 3,818 | +10 |
| 12 Aug 2026, 04:47 | 3,808 | +7 |
| 9 Aug 2026, 05:52 | 3,801 | +3 |
| 6 Aug 2026, 16:25 | 3,798 | -3 |
| 6 Aug 2026, 04:31 | 3,801 | no change |
| 6 Aug 2026, 03:36 | 3,801 | first reading |
Engagement
20 posts held, back to 11 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 4 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 47.6%
- avg views ÷ 3,818 subscribers
- Avg views / post
- 1,820
- 6 posts measured
- Reaction rate
- 0%
- reactions ÷ views · ER floor
- Posts in window
- 7
- 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. It is computed over the 3 of 6 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 20 (11 June 2026 – 6 August 2026) |
| Views total | 10,904 |
| Reactions total | 0 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 06:12 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.
Telegram Stars
- Stars received
- 1,120
- across the posts below
- Posts paid on
- 13
- of 19 we hold a reading for · 68%
- Most on one post
- 1,060
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @mobilemoneymakers. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 20 most recent posts we hold for this entry, published 11 June 2026 to 6 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
Помимо того, что прилы в app store зависают на ревью, — еще и позиции по крупным брендовым ключам штормить с сегодняшнего дня начало Все как всегда, крч
Разработчикам начали прилетать реджекты за запрос оценки на обнординге Вы получите реджект, даже если для оценки используете стандартный системный запрос. До июня это всё было просто рекомендацией, а теперь правило Прикрепил к посту скрины писем счастья, мы такой уже получали
Posted without readable text
Реформы в Google Play, о которых я недавно рассказывал (🔗тыц) не помогли гуглу избежать претензий и новых штрафов в Евросоюзе: их оштрафовали на €900млн • €460млн. за продвижение своих сервисов в поиске: шоппинг, отели и другие продукты были на более высоких позициях и с визуальными акцентами • €430млн. за ограничение разработчиков Google Play. Google вставлял палки в колеса тем, кто получал оплату вне их биллинга …
Что там по хайрискам? Публикую статку: 264 аккаунта, три гео (см. скрин) До этой недели было 62% проходимости у Украины и 72% у Польши, по количеству дней на ревью Польша и Украина находились плюс минус на одной позиции И еще один интересный момент — на прошлом срезе выход прил на Укр гео был 88%, то есть проходимость за месяц немного упала (по крайней мере, у нас) Но, посмотрим. Сейчас у нас на ревью висит еще 30…
В Google Play Console появилась новая метрика для ASO: теперь можно видеть, сколько раз пользователи заметили приложение в Google Play. Раньше доступны были только просмотры страницы и установки, показов не было Теперь воронка выглядит так: Показы → Просмотры страницы → Установки Если: • Мало показов: проверяем ключевые слова, категорию и рейтинг • Показов много, а просмотров мало: смотрим на иконку, название и р…
Читаю сейчас о том, как бывший ревьюер App Store рассказывает про модерацию. Это та инфа, которая сейчас везде постится, но никто так до конца и не понял, что это просто реклама его сервиса (он там в конце об этом пишет, нативочку кинул), я об этом посте на Reddit В общем, "модератор", который свой сервис прохождения модерации рекламирует. Инфа, скорее, на ваше усмотрение, я бы ее как истину не воспринимал, ничто не…
OpenAI по примеру клод-провайдеров, предложила 3 модели под разные сценарии использования: Sol как флагман, Luna как быструю и дешевую модель, Terra как что-то среднее Одновременно с новостью про скорый релиз 5.6, на глаза попалась инфографика от Ramp. На основе данных от 21К американских компаний, доказано, что компании, которые по серьезке внедряют AI, не уменьшили штат, а наоборот, выросли на 10-12% Причем это к…
Фарм аккаунтов в 2026. Вторая часть каста уже на YouTube! Ответили на вопросы подписчиков. Обсудили: • Какие GEO сейчас лучше проходят по Google Play и iOS • Почему одни аккаунты живут, а другие быстро ловят High Risk • Как работают отлежка, разлогины, телефоны, покупки и активность для trust • Можно ли снять High Risk • Стоит ли мешать белые и серые прилы • Почему опасно сразу заливать много прил на один аккаунт •…
Не пугайтесь! Есть важный апдейт, важный для меня и моей компании: мы решили стать ярче Mobile Money Makers давно вырос в большую экосистему, в которой есть все для совместного развития, поддержки и роста Кто со мной еще не знаком — почитать обо мне можно тут Мы сделали редизайн всех публичных направлений M3: • YouTube канал, где всегда есть много полезного • Мой блог, как вы уже увидели • Канал для клиентов со с…
Инвесторы покупают готовый бизнес — но не твою рутину Твоё приложение в плюсе, но продать его как есть практически нельзя: трафик, саппорт, связки — всё держится на тебе. Для покупателя это не актив, а вторая работа, которую он брать не хочет. Поэтому такие аппки не продаются сами — не потому что не нужны, а потому что их некому привести в вид, который купят Это делаем мы. Берём приложение, упаковываем и достраивае…
Showing the 12 most recent of 20 posts we hold for @mobilemoneymakers. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank
Citation-graph rank — 19,069 of 1,350,102entries 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.
Mentions
Named by 2 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“Ден Марков 📱 Mobile Money Makers” (@mobilemoneymakers), 3,818 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/mobilemoneymakers.
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.