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Channel

FoodTech Lab ВкусВилл

@RnD_VkusVill

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

598subscribers

+4 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001973022913
TypeChannel
Username@RnD_VkusVill
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/RnD_VkusVill

Growth

5945985966 August 2026 — 594 subscribers6 August 2026 — 594 subscribers14 August 2026 — 598 subscribers6 August 202614 August 2026
3 measurements spanning 8 days, net +4. 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 593–599 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 09:24598+4
6 Aug 2026, 19:10594no change
6 Aug 2026, 18:46594first reading

Engagement

12 posts held, back to 9 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
48.7%
avg views ÷ 598 subscribers
Avg views / post
292
4 posts measured
Reaction rate
7.89%
reactions ÷ views · ER floor
Posts in window
4
of 12 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 3 August 2026
Posts held12 (9 June 20263 August 2026)
Views total1,166
Reactions total92
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 18:46 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

271 reactions across 12 posts, in 8 distinct kinds. The most used accounts for 40.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
11040.6%
🔥9133.6%
👍3312.2%
🥰145.17%
👏134.80%
🎉51.85%
🤯31.11%
👌20.738%

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 12 of the 12 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 271reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 9 June 2026 to 3 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.

Telegram Stars

Stars received
67
across the posts below
Posts paid on
4
of 12 we hold a reading for · 33%
Most on one post
55
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @RnD_VkusVill. 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 12 most recent posts we hold for this entry, published 9 June 2026 to 3 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

3 Aug 2026, 12:56 UTC234 views43 reactions10 Starsread 6 August 2026
Photo

Как даем фруктам вторую жизнь и создаем новый опыт для покупателей Команда Открытых Инноваций запустила тест смузи-аппарата на одной из торговых точек в Москве. Цель — снизить списания фруктов, овощей и ягод и создать новый сервис для покупателей. Как это работает: покупатель берет из морозилки стакан с заранее нарезанными и замороженными фруктами, устанавливает его в автомат — и получает свежий смузи за минуту. В

18🔥14👍10👏1

30 Jul 2026, 15:01 UTC256 views12 reactionsread 6 August 2026
Forwarded from @unicornsroomVideo

Как прошла акселерационная игра от Unicorns' Room и ВкусВилла? 🦄🦄🦄 26 июня мы провели финальный этап преакселерационной программы для ВкусВилла - авторскую акселерационную игру по адаптации проектов под задачи корпорации. За месяц совместной работы удалось собрать сильную отраслевую воронку: 🔵более 200 заявок от стартапов и специалистов 🔵45 команд приняли участие в игре 🔵10 проектов прошли в следующий этап коммуник

8🔥4

25 Jul 2026, 11:20 UTC302 views17 reactions55 Starsread 6 August 2026
Forwarded from @news_vkusvillPhoto

Ко Дню заботы о себе ВкусВилл выпустил антистресс-набор для битья крапивы 🌿 Идея — вернуть знакомый с детства ритуал в городскую жизнь, но в более осознанном формате. Крапиву можно вырастить дома или на даче, наблюдать за процессом, приготовить из нее блюда — или, если очень нужно, устроить символическую встречу с детством. «Это, конечно, мем, но мем со смыслом: можно вырастить растение, немного замедлиться, пригот

8🔥6🤯3

23 Jul 2026, 15:24 UTC374 views20 reactions1 Starread 6 August 2026
Photo

Как за один день превратить десятки стартапов в потенциальные пилоты? Классический питч помогает понять, что умеет стартап. Но гораздо важнее увидеть, как его решение работает на реальной задаче бизнеса. Именно поэтому, помимо технологического скаутинга, мы регулярно тестируем новые форматы поиска инноваций. Один из них — акселерационная игра. Вместе со стартапами, фаундерами и экспертами мы провели 5-часовой инте

9👍5🔥5🎉1

17 Jul 2026, 10:16 UTC485 views23 reactionsread 6 August 2026
Photo

Студенческие проекты становятся ближе к полке 💚 В конце июня RnD-лаборатория ВкусВилла встретилась со студенческими командами ИТМО и Политеха на промежуточной дегустации по проектам, над которыми они работают уже несколько месяцев 🏪 👩‍💻 За это время каждый проект заметно изменился. Команды дорабатывали рецептуры, подбирали новое сырье, искали технологов и контрактные производства, экспериментировали с упаковкой и с

11🔥7👍5

9 Jul 2026, 08:28 UTC427 views19 reactionsread 6 August 2026
Photo

И еще немного контента с ВиллИИ 💚

7🔥6👍5🥰1

9 Jul 2026, 08:26 UTC486 views29 reactionsread 6 August 2026
Photo

ИИ рекомендации прямо в магазине 🏪 В этом посте расскажем о результатах теста ИИ-помощника покупателя - ВиллИИ, о сервисе умных рекомендаций, который обучен на каталоге и рецептах ВкусВилла. Покупатель делает свободный запрос, а сервис подбирает подходящие продукты и корзину: 🥗 «Составь рацион на три дня без рыбы» 🥑 «Что приготовить детям на завтрак?» 🚙 «Подбери белковый перекус до 200 рублей без лактозы» ВиллИИ

🔥1410👏5

7 Jul 2026, 06:37 UTC367 views13 reactionsread 6 August 2026
Photo

Новинки первого месяца лета: от переосмысленной классики до необычных сочетаний В июне команда РнД работала сразу в нескольких направлениях: переосмыслила привычные блюда, экспериментировала с вкусовыми сочетаниями и возвращала знакомые с детства десерты — но уже с чистым составом и современным взглядом. Собрали 5 июньских новинок, которые по-разному удивляют👇 🟢 Винегрет по-итальянски с вялеными томатами и соусом

5🔥4👍3👌1

25 Jun 2026, 14:37 UTC507 views13 reactionsread 6 August 2026
Video

Всем привет! Сегодня хотим рассказать, чем занимается команда Открытых инноваций ВкусВилла 🦸 Делимся записями эфиров, где коллеги рассказали: 🟢что и как предлагать ВкусВиллу (спойлер: важно сразу в питчдеке рассказать, что вы сможете улучшить конкретно во ВкусВилле) 🟢как выбирают стартапы для пилотирования 🟢что важно при пилоте и как он выглядит 🟢как оценивается успешность пилотного проекта Если хотите запитчить св

8🔥4👏1

17 Jun 2026, 08:58 UTC538 views29 reactionsread 6 August 2026
Forwarded from @aviasalesPhoto

Закройте глаза и откройте рот. Но не сейчас. А когда будете пробовать клубничный бааааатончик от Авиасейлс и ВкусВилл. Как говорится, не тормози — авиасейлсни. Сделали мы для вас вкуснятину. Можно взять и в самолёт, можно взять и в поликлинику, чтобы умаслить врача. Можно просто психануть и заесть стресс. Там немного ккал. Короче, вещь, которая пригодится везде. Заказывайте доставку бааааатончика, покупайте баааа

13🔥6👍5🥰5

11 Jun 2026, 16:18 UTC≈1,100 views19 reactionsread 6 August 2026
Photo

Анонсируем наши онлайн-мероприятия на июнь 📎 Вместе Unicorns’ Room @unicornsroom проводим серию акселерационных мероприятий. В фокусе — технологии, которые могут быть полезны в FoodTech и смежных корпоративных процессах: промышленная автоматизация, AI, Computer Vision, робототехника, продуктовые решения для операционных задач. 🟢16 июня в 14:00 МСКВебинар «Как превратить технологию по автоматизации в многомиллионный

🔥7👏65🥰1

9 Jun 2026, 08:29 UTC517 views34 reactions1 Starread 6 August 2026
Photo

ВВкусный питч ВкусВилл х МФТИ 🧁 5 июня в Физтех.Клубе ВкусВилл вместе с МФТИ собрали 80+ человек: фаундеров, исследователей и тех, кто просто неравнодушен к ритейлу. 💬 Команды питчили проекты по роботизации и автоматизации процессов, компьютерному зрению, повышению эффективности складов и новым продуктам в направлении фудтеха. Со стороны ВкусВилла 8 экспертов дали проектам честную обратную связь, а с кем-то уже на

🔥148🥰7🎉4👌1

Showing the 12 most recent of 12 posts we hold for @RnD_VkusVill. 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 — 635,508 of 1,480,975entries 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

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 4 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.

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

“FoodTech Lab ВкусВилл” (@RnD_VkusVill), 598 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/RnD_VkusVill.

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.