Telegram RegisterThe public register of Telegram
Telegram profile photo for TON Fingerprints

Channel

TON Fingerprints

@ton_fingerprints

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Cite this entry

137subscribers

-3 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-1001285287873
TypeChannel
Username@ton_fingerprints
CreatedBetween 1 April 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/ton_fingerprints

Growth

137140138.56 August 2026 — 140 subscribers8 August 2026 — 140 subscribers14 August 2026 — 137 subscribers6 August 202614 August 2026
3 measurements spanning 8 days, net -3. 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 137–140 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 11:45137-3
8 Aug 2026, 22:17140no change
6 Aug 2026, 00:56140first reading

Engagement

19 posts held, back to 19 July 2022the 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 19 posts for this entry, the most recent from 24 April 2024. An engagement rate over an empty window would be a number about nothing.

Reaction mix

73 reactions across 15 posts, in 10 distinct kinds. The most used accounts for 30.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2230.1%
🔥1317.8%
👍1115.1%
❤‍🔥1013.7%
custom 535032000277381822579.59%
🎉45.48%
👏34.11%
🆒11.37%
💯11.37%
🙏11.37%

Custom emoji. One row above is a 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 count beside it isTelegram’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 15 of the 19 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 73reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 19 July 2022 to 24 April 2024, 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
12
across the posts below
Posts paid on
1
of 18 we hold a reading for · 6%
Most on one post
12
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ton_fingerprints. 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 19 most recent posts we hold for this entry, published 19 July 2022 to 24 April 2024. 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

24 Apr 2024, 16:00 UTC≈1,360 views12 reactions12 Starsread 8 August 2026
Photo

In a new article, we consider a sample from a discrete distribution and an algorithm for weighted random numbers in a fingerprint scanner! In the Telegram App Fingerprint Scanner, each fingerprint has its own "weight" or probability of being selected. The weighted random selection algorithm used in the application is a method of selecting items from this collection according to their weights, which, in fact, gives i

custom 53503200027738182257🔥32

Signed TON Fingerprints Post

4 Apr 2024, 11:00 UTC≈1,170 views8 reactionsread 8 August 2026
Photo

🎉 Fingerprint Scanner Web App bot is used by more than 5,000 Telegram users! 🎉 We are pleased to announce that after being placed in the Telegram Apps Center application catalog, the WebApp bot based on the NFT collection with an open CC0 license has become popular among users. With the help of the scanner, your task is to recognize and collect fingerprints in order to get the maximum amount of game resources. Unli

🔥4👍2👏2

Signed TON Fingerprints Post

17 Mar 2024, 15:00 UTC≈1,030 views2 reactionsread 8 August 2026
Photo

🌟 Getgems Fingerprint Extension 🌟 We are pleased to announce the launch of a browser extension that will allow you to see the rarity attributes of the TON Fingerprints collection right on the Getgems marketplace! Now you can easily determine the value and uniqueness of each fingerprint by viewing its characteristics directly in your browser. Your screen will now display the Rarity index, Recommended Retail Price (RR

🔥2

Signed TON Fingerprints Post

11 Mar 2024, 12:00 UTC818 views3 reactionsread 8 August 2026
Photo

Fingerprint Scanner has been added to Telegram Apps ♥️ Thanks to the Telegram Apps team for your trust. Find us among the coolest apps on Telegram! 🙏 Telegram Apps - Community-driven catalog of applications developed by third-party developers.

3

Signed TON Fingerprints Post

18 Jun 2023, 17:20 UTC≈1,020 views7 reactionsread 8 August 2026

​The first vote on the formation of the future of the TON Fingerprints collection will begin tomorrow Every TON Fingerprints holder can cast their vote. This vote offers support for a weighted balance strategy, which takes into account the balance of the voter on the date of the snapshot. The greater the number of NFT Fingerprints, the greater the right to vote. Although this approach is logical because it gives mor

6🙏1

Signed Donation Post

23 Jan 2023, 15:00 UTC≈3,810 views6 reactionsread 8 August 2026

​📟Read commit on Github: It is necessary that virtual environments are open, accessible and safe for everyone. This is of paramount importance for the appearance of the metaverse in The Open Network. The term "metaverse" is used to describe augmented reality. This is a signal of a significant change in how people think about the future of online communications. With today's technological advances and the increase in

❤‍🔥5👏1

Signed TON Fingerprints Post

18 Dec 2022, 06:00 UTC612 views9 reactionsread 8 August 2026

​During the preparation for TON CON 2022 tokenomics was developed with the ability to deploy a group of AMM contracts. After the deployment, it turned out that the explorers on the TON network display contracts other than the standard ones as unverifiable. The immutability of a smart contract after being published on the blockchain allows participants in the business process to "believe" in its "honesty" - all possib

👍42🔥2🆒1

Signed TON Fingerprints Post

10 Dec 2022, 16:19 UTC482 views6 reactionsread 8 August 2026

​Friends, we continue to talk about the team that worked on the organization of TON CON 2022! Roman Inozemtsev - Core Team DAO TON CON, Co-founder TON CON, Owner-Co-founder TON Fingerprints, Owner - MIR | Machine Intelligence Research. What contribution did you make to TON CON: - Documentation, policy documents, rules, regulations on participation, templates for participant questionnaires, economics. - Tokenomics,

❤‍🔥4👍2

Signed TON Fingerprints Post

31 Oct 2022, 18:43 UTC350 views8 reactionsread 8 August 2026
Photo

The TON CON 2022 will be held not only online, but also offline in Moscow! And we can already introduce you to several speakers who will share their experience with the guests of the event: Roman Inozemtsev, co-founder of the TON Fingerprints project. 💡At the congress, Roman will talk about the model of group decision-making in decentralized organizations and the author's license for NFT in The Open Network. Niki

4🎉4

Signed Roman Inozemtsev

2 Aug 2022, 12:38 UTC406 views1 reactionsread 8 August 2026

​Pixel April 11 published a note about the CC0 permissive license for the Fingerprints collection. Permissive license: 1. In Creative Commons Zero (CC0) format, allows you to create creative remixes with the benefits of both the original and derivatives. 2. Emphasis on low accuracy + metadata. 3. Classification of metadata by source packages in CID. Assembly from ipfs(x1+x2+...xn) (open fingerprint generation algor

👍1

Signed <fingerprints_post>

29 Jul 2022, 12:15 UTC334 views3 reactionsread 8 August 2026

​How to join DAO Fingerprints If you have 1 or more NFT Fingerprints (TON Fingerprints), access to the community is open. You can join the closed community of holders on Telegram and participate in DAO Fingerprints using @dao_verify_bot. Note: Click the DAO Fingerprints Verify button to join 👇 Verification works in test mode. If you have any difficulties, write to support

👍21

Signed <fingerprints_post>

Showing the 12 most recent of 19 posts we hold for @ton_fingerprints. 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 — 442,567 of 1,481,217entries 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 3 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.

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.

“TON Fingerprints” (@ton_fingerprints), 137 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/ton_fingerprints.

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.