Channel
@AiWhitebridge
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
44subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002858242495 |
|---|---|
| Type | Channel |
| Username | @AiWhitebridge |
| Created | 26 July 2025 — measured — dated from the channel’s first post |
| First recorded | 10 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/AiWhitebridge |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 15:45 | 44 | no change |
| 7 Aug 2026, 17:36 | 44 | first reading |
9 posts held, back to 26 July 2025 — 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 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 9 posts for this entry, the most recent from 26 July 2025. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 10 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.
We’re proud to join the #MVB10 cohort by @BNBCHAIN , @CoinMarketCap & @yzilabs . Out of the 500+ projects that applied, WhiteBridge is among the top 15! We’re building the global trust layer for people-data intelligence, powered by AI agents + DePIN infrastructure. Let’s redefine digital identity 🤖
This is where WhiteBridge comes in. The Face Finder Agent uses advanced AI to scan public and private data sources in real time. Spotting unauthorized face usage, identity spoofing, and deepfakes, before they go viral.
Every search. Every signal. Every run. WhiteBridge Agents are processing thousands of identities, risk checks, and reputation signals in real time. 📊 582,000+ agent runs 📈 Millions of data points analyzed 🧠 One decentralized trust layer, powering it all
It's been a BIG Week in AI & Cybersecurity. Major hacks, new defenses, and the industry booming past $500B. Here’s what you need to know ⬇️
The digital threat surface is expanding fast. From phishing to data leaks, identity risks are no longer edge cases, they’re everyday realities. We’re building the trust layer to help individuals and businesses stay protected, informed, and in control
New Grants for Small Business Security The UK government is offering new grants to help 500 small companies strengthen their cybersecurity. Each can get up to £2,500 for expert security reviews, aiming to prevent future breaches.
Most data breaches go undetected for over 200 days. In 2023, the average cost of a single data breach hit $4.45 million. Global cybercrime losses are projected to top $10 trillion in 2025. Let’s talk about it ⤵️
Update: Our $50,000 $WBAI campaign has been extended! 🎉 More time = more opportunities to complete tasks, earn rewards, and climb the leaderboard. Stay engaged, keep grinding, and secure your share of $WBAI! Don’t miss out ➡️ zealy.io/cw/whitebridge…
Channel created
Showing the 9 most recent of 9 posts we hold for @AiWhitebridge. 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.
Citation-graph rank — 1,128,678 of 1,160,990entries 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.
Named by 1 registered channel — 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.
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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“WhiteBridge : AI Agents Network” (@AiWhitebridge), 44 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/AiWhitebridge.
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.