18 Nov 2021, 23:01 UTC125 viewsread 12 August 2026
Forwarded from @kyotocoinchannelVideo
Video, posted without a caption
Channel
GRUN.Finance
@grunfinance
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
12subscribers
-3 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001517727333 |
|---|---|
| Type | Channel |
| Username | @grunfinance |
| Created | 8 September 2021 — measured — dated from the channel’s first post |
| First recorded | 12 August 2026 |
| Last confirmed live | 12 October 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 2 times, most recently 12 October 2026 |
| On Telegram | t.me/grunfinance |
Topic
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 2 October 2026 and assigned it the closest of 31 fixed categories, at 49% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 1 Oct 2026, 18:42 | 12 | -1 |
| 15 Aug 2026, 16:05 | 13 | -2 |
| 12 Aug 2026, 00:15 | 15 | no change |
| 7 Aug 2026, 21:16 | 15 | first reading |
Engagement
16 posts held, back to 8 September 2021 — the 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 16 posts for this entry, the most recent from 18 November 2021. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 10s
- Average length
- 10s
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.
Recent posts
18 Nov 2021, 05:08 UTC101 viewsread 12 August 2026
Forwarded from @kyotocoinchannel
We are excited about the future of the KYOTO NETWORK and would like to invite all of you to participate in it!🌏🌎🌍♻️ The ⛩KYOTO NETWORK⛩ is a comprehensive and decentralized ecosystem for the worldwide carbon credit industry.♻️ ⛩KYOTOCOIN⛩ is the system token for the KYOTO NETWORK that will have a transaction tax of 5%. This will be redistributed based on: 2% to token holders, 1% to liquidity pools, 1% for carbon of…
15 Nov 2021, 23:51 UTC62 viewsread 12 August 2026
Photo
We are excited about the future of the KYOTO NETWORK and would like to invite all of you to participate in it!🌏🌎🌍♻️ The ⛩KYOTO NETWORK⛩ is a comprehensive and decentralized ecosystem for the worldwide carbon credit industry.♻️ ⛩KYOTOCOIN⛩ is the system token for the KYOTO NETWORK that will have a transaction tax of 5%. This will be redistributed based on: 2% to token holders, 1% to liquidity pools, 1% for carbon …
27 Sept 2021, 13:52 UTC223 viewsread 12 August 2026
Photo
GRUN.Finance is a Carbon Credits DeFi Ecosystem. It consists of: a system token (GRUN), native carbon credit serial tokens, token factory that issues user-created carbon neutral tokens, a carbon credit focused DEX-AMM and staking pools. The GRUN Token has built-in staking, liquidity & carbon offset mechanism. Each token transfer attracts a fee of 6%, which will be re-distributed as shown: 3% to GRUN Token owners, 2% …
25 Sept 2021, 13:59 UTC161 viewsread 12 August 2026
https://www.linkedin.com/posts/morib_carboncredits-carbonmarkets-carbonneutraltoken-activity-6847044959233826816-PNR1
23 Sept 2021, 03:54 UTC251 viewsread 12 August 2026
https://www.linkedin.com/posts/morib_carboncredits-carbonmarkets-carbonneutraltoken-activity-6846648301471825920-yzCJ
21 Sept 2021, 13:46 UTC256 viewsread 12 August 2026
Photo
GRUN.Finance is a Carbon Credits DeFi Ecosystem. It consists of: a system token (GRUN), native carbon credit serial tokens, token factory that issues user-created carbon neutral tokens, a carbon credit focused DEX-AMM and staking pools. The GRUN Token has built-in staking, liquidity & carbon offset mechanism. Each token transfer attracts a fee of 6%, which will be re-distributed as shown: 3% to GRUN Token owners, 2% …
17 Sept 2021, 00:40 UTC201 viewsread 12 August 2026
https://www.linkedin.com/pulse/why-we-started-grunfinance-mohd-rashdan-ibrahim
15 Sept 2021, 02:46 UTC151 viewsread 12 August 2026
Photo
Photo, posted without a caption
15 Sept 2021, 02:46 UTC158 viewsread 12 August 2026
GRUN.Finance is a DeFi project that aims to open up the Carbon Credit markets to the general public, specifically the crypto community. This will allow users to invest in future market growth and to reduce their carbon footprints through carbon offset. The GRUN.Finance ecosystem will be built on BSC network & comprises of GRUN Token the native system token, a native carbon credit token, a token factory that transfor…
15 Sept 2021, 02:46 UTC88 viewsread 12 August 2026
Photo
Photo, posted without a caption
15 Sept 2021, 00:43 UTC97 viewsread 12 August 2026
Good morning, on behalf of iP2PGlobal, I am pleased to announced the launch of GRUNFinance and its native token, GRUN Token. We hope everybody will support this worthy project. We believe GRUNFinance will make a difference to the crypto community and the general public by democratising the long 'closed' carbon credit markets, and opening up these markets to everybody to participate and invest in. Its also time fo…
Showing the 12 most recent of 16 posts we hold for @grunfinance. 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.
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
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 1 October 2026 — this entry's latest reading, not the date you are reading this.
“GRUN.Finance” (@grunfinance), 12 subscribers as measured 1 October 2026. Telegram Register, tgregister.com/channel/grunfinance.
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.