Telegram RegisterThe public register of Telegram
Telegram profile photo for Hack your Mind!

Channel

Hack your Mind!

@productive

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

721subscribers

-2 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001006604150
TypeChannel
Username@productive
CreatedBetween 1 September 2015 and 31 December 2015 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live28 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 28 August 2026
On Telegramt.me/productive

Growth

721724722.55 August 2026 — 723 subscribers6 August 2026 — 723 subscribers13 August 2026 — 724 subscribers21 August 2026 — 722 subscribers28 August 2026 — 721 subscribers5 August 202628 August 2026
5 measurements spanning 22 days, net -2. 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 721–724 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
28 Aug 2026, 00:04721-1
21 Aug 2026, 05:48722-2
13 Aug 2026, 08:27724+1
6 Aug 2026, 16:14723no change
5 Aug 2026, 22:05723first reading

Engagement

19 posts held, back to 19 March 2024the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of 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 19 posts for this entry, the most recent from 9 October 2025. An engagement rate over an empty window would be a number about nothing.

Recent posts

9 Oct 2025, 11:32 UTC943 viewsread 6 August 2026
Forwarded from @irandocufilmsPhoto

ده فیلم مستند با موضوع زن ایرانی در کانال مستندهای خوب ایرانی: زینت یک روز بخصوص (١٣٧٩) ساخته ابراهیم مختاری روزگار ما (١٣٨٠) ساخته رخشان بنی‌اعتماد زنانه (۱۳۸۰) ساخته مهناز افضلی صدای ماه (۱۳۸۲) ساخته فرحناز شریفی طرقه (١٣٨٤) ساخته محمدحسن دامن‌زن هفت فیلمساز زن نابینا (١٣٨٦) ساخته ندا حقیقت،غمه عافیت، نرگس حقیقت، بنفشه احمدی، مهدیس الهی، شکوفه داورنژاد و سارا پرتو ملایه (١٣٨٨) ساخته ماجد نیسی ٢١ روز و من (۱۳۹۰) س

28 Dec 2024, 10:26 UTC≈1,320 viewsread 6 August 2026
Photo

نسل مضطرب نسل زِد (Z) نخستین نسلی در تاریخ بود که دوران بلوغ را با دروازه‌ای در جیبش سپری کرد؛ دروازه‌ای که متأسفانه او را از اطرافیانش دور کرد و به دنیای بدیلی ‌برد که هیجان‌انگیز، اعتیادآور، بی‌ثبات و البته نامناسب برای کودکان و نوجوانان بود. نسل مضطرب روایتگر اتفاقی است که برای نسل زِد رخ داده است. ادعای اصلی جاناتان هایت در این کتاب این است که دو گرایش موجب شد کودکان متولدشده پس از سال ۱۹۹۵ به نسلی مضطرب بدل شون

31 Oct 2024, 09:41 UTC≈1,200 viewsread 6 August 2026
Video

Requiem for the American Dream with Noam Chomsky DOCUMENTARY - Politics, Philosophy

1 Oct 2024, 10:15 UTC≈1,230 viewsread 6 August 2026
Photo

دوره اسب آبنوس ۰۳، با هدف همراهی رهبران سازمان‌ها در خلق تجربه‌ای بدن‌مند و به هدف ساخت سبک زندگی آگاهانه طراحی شده است. در یک ماه نیم و دو جلسه در هفته. صبح‌گاه دوشنبه‌ها و پنج‌شنبه‌ها، با اولویت قرار دادن سلامتی و خودآگاهی و مراقبت از خود پیش از شروع یک روز کاری. هر جلسه، طبق ارزیابی اسکلتی عضلانی شرکت‌کنندگان، و مسائل روان از جمله استرس، عدم تمرکز، خستگی‌های جسمی و ذهنی و سایر چالش‌های یک مدیر و تصمیم گیرنده در س

25 Sept 2024, 09:50 UTC721 viewsread 6 August 2026
File

در اسب آبنوس ۰۳، پس از تجربه زمستان ۰۲ در کنار دکتر آذرخش مکری، این‌بار کاوشی بدنمند همراه راهبران تاثیرگذار کسب و کارها، از میان تمرین‌های یوگا، مراقبه‌های ذهنی و تنفس، و برای شناخت بهتر حواس و شهود خواهیم داشت. برنامه‌هایی که در روزهای دوشنبه و پنج شنبه از ۶ تا ۸:۳۰ صبح، به دنبال پاکسازی ذهن و بدن و حواس ما در کنار مربیان کاربلد هر حوزه اتفاق می‌افتد و از هفته اول مهر تا هفته‌های انتهایی آبان به طول خواهد انجامید.

Showing the 12 most recent of 19 posts we hold for @productive. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

1 Jul 2024, 09:06 UTCAnonymous Poll144 voters

نتایج دور دوم انتخابات را چگونه پیش‌بینی می‌کنید؟

  1. مشارکت بالای ۴۰ درصد - انتخاب پزشکیان45%
  2. مشارکت بالای ۴۰ درصد - انتخاب جلیلی13%
  3. مشارکت پایین ۴۰ درصد - انتخاب پزشکیان24%
  4. مشارکت پایین ۴۰ درصد - انتخاب جلیلی19%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 19 most recent posts we hold, published 19 March 2024 to 9 October 2025. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

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 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.

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

“Hack your Mind!” (@productive), 721 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/productive.

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.