Telegram RegisterThe public register of Telegram

Channel

Zero eDiscovery

@zero_ediscovery

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

100subscribers

+0 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1002121143924
TypeChannel
Username@zero_ediscovery
Descriptionzero-ediscovery.ru
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live9 August 2026
Measurements held2
On Telegramt.me/zero_ediscovery

Growth

1008 Aug 2026, 00:24 — 100 subscribers9 Aug 2026, 11:01 — 100 subscribers8 Aug 2026, 00:249 Aug 2026, 11:01
2 measurements spanning 1 day. 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 99–101 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 11:01100no change
8 Aug 2026, 00:24100first reading

Engagement

6 posts held, back to 12 August 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 6 posts for this entry, the most recent from 30 October 2025. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
23
Links
9

Lifetime counters from Telegram’s own channel header, read 9 August 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.

Reaction mix

101 reactions across 6 posts, in 6 distinct kinds. The most used accounts for 44.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥4544.6%
1918.8%
👍1615.8%
custom 54138254794067896311312.9%
custom 545613371618102431143.96%
💯43.96%

Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 6 of the 6 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 101reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 6 most recent posts we hold, published 12 August 2025 to 30 October 2025, 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
215
across the posts below
Posts paid on
2
of 6 we hold a reading for · 33%
Most on one post
200
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @zero_ediscovery. 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 6 most recent posts we hold for this entry, published 12 August 2025 to 30 October 2025. 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

30 Oct 2025, 14:23 UTC309 views17 reactionsread 9 August 2026

Друзья из 🟣ПравоТех поделились новостью про публикацию на Ведомости про конкурс инновационных стартапов «Импульс». Интересный обзор на всех проекты с финала. Рекомендую посмотреть — все решения стоят внимания и при необходимых ресурсах и поддержке смогут стать полноценными продуктами. 🔍

7🔥6custom 54561337161810243114

Signed Nikita Pavlov

13 Oct 2025, 14:12 UTC393 views26 reactionsread 9 August 2026
Photo

🟣ПравоТех «Импульс» — конкурс инновационных проектов. 🔍Zero eDiscovery — на 1 месте. Этот сентябрь стал насыщенным для команды Zero eDiscovery — большие обновления, внедрения, несколько выступлений и мероприятий. ⚡️Особенным событием для нас стал Форум ПравоТех, прошедший в Кластере «Ломоносов» 25 сентября. В рамках форума проводился финал конкурса инновационных проектов «Импульс», в котором мы приняли участие. 🔴В

🔥16custom 54138254794067896316💯4

Signed Nikita

9 Oct 2025, 11:12 UTC311 views17 reactionsread 9 August 2026
Photo

Tech Law Conf 2025 В конце сентября я принял участие в конференции Tech Law Conf 2025, посвященной регулированию технологий, говорили о разном: роботы, геймдев, нейросети. Организаторы создали очень технологичную атмосферу, даже поставили на входе встречать гостей гуманоидного робота и собаку. Конференция прошла в уже хорошо нам знакомом Кибердоме, поэтому выступать было особенно отрадно. На питч-сессии стартапов

🔥10custom 541382547940678963143

Signed Nikita

11 Sept 2025, 05:16 UTC239 views14 reactions200 Starsread 9 August 2026
Forwarded from @mk_softwarePhoto

⚡️ Сегодня представляем делового партнера конференции: Лабораторию Криминалистического Анализа Данных (Zero eDiscovery). Zero eDiscovery — российская компания, разрабатывающая платформу для автоматизации сбора, обработки, анализа и предоставления электронных доказательств. Решение применяется в судебных процессах, внутренних расследованиях и проверках со стороны регуляторов. Система рассчитана на работу с крупными

🔥63👍3custom 54138254794067896312

15 Aug 2025, 07:26 UTC229 views11 reactionsread 9 August 2026
Forwarded from @RAA25officialPhoto

РАА25 спешит рассказать о продукте, которого долго ждал российский рынок: Zero eDiscovery. Юристы всё чаще работают с цифровыми данными: перепиской, документами, метаданными. Но извлечение, анализ и подготовка таких материалов — не самая простая задача. 💡 Что такое eDiscovery? Это поиск, обработка и подготовка электронных доказательств для суда. Раньше это было сложно и дорого. Теперь всё иначе. 🔍Zero eDiscovery

6👍3🔥2

12 Aug 2025, 07:02 UTC542 views16 reactions15 Starsread 9 August 2026
Photo

2025-08-12 Мир невидимого: как метаданные раскрывают тайны Наша работа целиком и полностью крутится вокруг того, что не видно невооруженным глазом. Они есть везде: в камерах, телефонах, компьютерах и даже умных часах. Эти карточки — начало большого цикла о мире данных… и данных о данных. Рассказывают сегодня ветераны компьютерной криминалистики, коллеги: ⬛️Юра Тихоглаз, сооснователь и Технический директор Лаборат

👍10🔥5custom 54138254794067896311

Showing the 6 most recent of 6 posts we hold for @zero_ediscovery. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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

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

“Zero eDiscovery” (@zero_ediscovery), 100 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/zero_ediscovery.

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.