Open-source intelligence as a mindset. Researches, tools and notes about data collection, searching and analysis
Main channel: @osint_mindset
Site: https://osint-mindset.com
Chat: https://t.me/+SD8ZyDzJg82BHnmZ
Videos: https://youtube.com/@osint_mindset
Created
Between 1 October 2022 and 31 August 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
9 measurements spanning 8 days, net -94. 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 21,222–21,344 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 03:26
21,236
-10
12 Aug 2026, 23:04
21,246
-15
11 Aug 2026, 23:55
21,261
-8
10 Aug 2026, 21:25
21,269
-26
9 Aug 2026, 19:02
21,295
-7
8 Aug 2026, 20:24
21,302
-23
7 Aug 2026, 19:33
21,325
-1
6 Aug 2026, 17:30
21,326
-4
6 Aug 2026, 03:49
21,330
first reading
Engagement
20 posts held, back to 29 December 2023 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 20 pagesof 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 20 posts for this entry, the most recent from 7 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Photos
19
Videos
1
Links
36
Lifetime counters from Telegram’s own channel header, read 14 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.
Video runtime
58s
Average length
58s
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
544 reactions across 20 posts, in 13 distinct kinds. The most used accounts for 48.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
264
48.5%
👍
164
30.1%
🔥
71
13.1%
👏
19
3.49%
👎
8
1.47%
💅
4
0.735%
❤🔥
3
0.551%
😁
3
0.551%
🤯
3
0.551%
🥰
2
0.368%
💩
1
0.184%
😱
1
0.184%
🤡
1
0.184%
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 20 of the 20 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 544reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 29 December 2023 to 7 July 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
42
across the posts below
Posts paid on
5
of 20 we hold a reading for · 25%
Most on one post
24
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @osint_mindset_eng. 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 29 December 2023 to 7 July 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.
OSINT mindset takes 1st place at Trace Labs Search Party! 🥇
Less than two months after the last event, Trace Labs held another Global OSINT Search Party - an international CTF dedicated to finding missing persons. There was no way we would sit this one out. And this time, we did not want to settle for second place.
Our team delivered the best result possible:
— 1st place 🥇
— 47 accepted submissions
— 4,380 points
—…
OSINT mindset team came in 2nd place at Trace Labs Search Party! 🥈
This past weekend, the Trace Labs Global OSINT Search Party took place — an international CTF focused on finding missing persons. This time, 130+ teams from around the world competed for the top spots 🌍
Our team, consisting of @Soxoj, adk, @vali, and Pr1tchard, delivered an excellent result:
— 2nd place among 130+ teams 🥈
— 28 accepted submissions
—…
OFFZONE 2025, a large conference on cybersecurity, was held on August 22-23 in Moscow.
For the third time, OSINT mindset team has hosted a stand in Community.Zone, where every visitor could try and solve our tasks on OSINT and GEOINT (and a special task where you had to extract classified information from AI) ◻️
Some figures we'd like to share:
🟡5 presentations given by OSINT mindset speakers in Community, Antifraud…
Only two weeks until OSINT mindset conference #5, and we are ready to introduce our speakers! ❤️🔥
Pandora — Digital Footprints of the Past: Applying OSINT to Genealogy Research
miss maria — Behind the profile mask: leveraging OSINT to uncover candidate truths
Andrey Zavrazhnov — Checking persons for participation in court cases
crytech7 — Automotive Intelligence: Vehicle OSINT
Katya Turing — Googling for nerds
…
Automated search for sites by favicon 🔍
When mapping an attack surface or searching for vulnerable web interfaces, favicon matching often plays a critical role. Some IoT search engines, such as Shodan or Netlas, already offer this functionality.
However, today we want to introduce a tool that simplifies this process, developed by a member of the Netlas community. This utility supports searching for favicons across …
OSINT mindset community in Uzbekistan! 🔥
The following talks are planned as part of OSINT mindset meetup uzb #1:
Soxoj — OSINT: Introduction to Specialty
Abbosov Aziz — Open Data: A klondike for scammers
Ruslan — Searching for hackers on a hot trail
Unfortunately, there will be no broadcasting and recording of the talks
We are waiting for everyone on October 26 at 14:00 (UTC+5) at Impact Technology Hub, 186, 4t…
OSINT mindset speakers at KazHackStan 2024! 🔥
Our speakers are back in Kazakhstan at the largest cybersecurity conference in Central Asia — KazHackStan 2024. Here is the schedule of talks:
📍Sept. 11
OSINT Track
[11:00-11:45] Dukera — GEWEL: A structural approach to GEOINT
[11:45-12:30] Soxoj — The Art of Digital
Investigations: The SOWEL Framework
[14:00-15:00] Vitaly Perov — OSINT: Underestimated Dork requests
[1…
®️ OSINT mindset at OFFZONE 2024
A large international cyber security conference OFFZONE 2024 will be held on August 22-23. Here are the topics of talks and OSINT mindset speakers 🔥
August 22:
— AntiFraud.Zone
[11:30-12:00] Farid Jafarov — Fraud in the trucking industry: nominee directors
[14:30-15:15] Katya Turing — Jeez, scammers are here again! How to build an antifraud system from scratch?
[17:00-17:30] sle…
We started uploading short videos with geolocation tasks on our YouTube channel: watch the playlist 📹
👉 Give us some boosts to see new shorts in this channel’s stories!
OSINT mindset conference #3 is already in two weeks! That means we are ready to present our speakers: 🧡
Farid Jafarov — Fraud in road trucking: nominals
Danheim Morazzi — OSINT in HR security. How companies use the power of intelligence analysts
Ivan Golunov — Court databases: how to work with them to find valuable information
Abanazar — Netstalking is a meme
In addition to the talks, as usual, we are preparing …
Thank you to everyone who attended our Osintomatico talk! Link to our tools and guides: https://github.com/stars/soxoj/lists/osintomatico-2024-talk
#osintomatico
Showing the 12 most recent of 20 posts we hold for @osint_mindset_eng. 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 — 534,577 of 1,340,412entries 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
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.
Handles this channel named that no longer answer
Dead references
2
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
2
vacant every time we have ever looked
@osint_mindset_eng named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@missmarriia named in 6 posts, 8 August 2026 – 13 August 2026
@dirtymengu named in 5 posts, 8 August 2026 – 13 August 2026
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.
“OSINT mindset [ENG]” (@osint_mindset_eng), 21,236 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/osint_mindset_eng.
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.