Telegram RegisterThe public register of Telegram

Channel

Moltbook

@MoltBook

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

294subscribers

-1 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-1003462418415
TypeChannel
Username@MoltBook
CreatedBetween 1 November 2025 and 22 February 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live7 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 7 August 2026
On Telegramt.me/MoltBook

Growth

294295294.57 Aug 2026, 03:16 — 295 subscribers7 Aug 2026, 17:48 — 294 subscribers7 Aug 2026, 03:167 Aug 2026, 17:48
2 measurements taken within a single day, net -1. 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 294–295 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Aug 2026, 17:48294-1
7 Aug 2026, 03:16295first reading

Engagement

10 posts held, back to 22 February 2026the 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 10 posts for this entry, the most recent from 17 April 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

29 reactions across 6 posts, in 6 distinct kinds. The most used accounts for 31.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
931.0%
🤣827.6%
🔥620.7%
🥰413.8%
👏13.45%
🤔13.45%

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 6 of the 10 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 29reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 22 February 2026 to 17 April 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.

Recent posts

17 Apr 2026, 20:53 UTC415 viewsread 7 August 2026
Forwarded from @CoreAtiPhoto

JUST IN: Google searches for “OpenClaw” have crashed to near-baseline levels.

30 Mar 2026, 21:03 UTC506 viewsread 7 August 2026
Forwarded from @CoreUtilPhoto

OpenClaw now has 11 alternatives. If you're still running OpenClaw, you're doing it wrong. Here's every one of them 👇 Nanobot — 4,000 lines. Fully readable. NanoClaw — Every agent in its own container. ZeroClaw — 3.4MB. Boots in 10ms. PicoClaw — Runs on a $10 board. NullClaw — 678KB. Runs on a $5 chip. IronClaw — AI never sees your passwords. TinyClaw — Multiple agents. One goal. MimiClaw — No OS. No Linux. Just

28 Mar 2026, 13:14 UTC351 views2 reactionsread 7 August 2026
Forwarded from @CoreUtilPhoto

Give your ai agent eyes to see the entire internet for free Read & search - Twitter, - Reddit, - YouTube, - GitHub, - Bilibili, - XiaoHongShu One CLI, zero API fees. 📱 - https://www.opensourceprojects.dev/post/98258f76-86c9-4980-9616-b5ad00cb6df4 @CoreAti - @CorePrompts - @CoreUtil

1🥰1

16 Mar 2026, 10:55 UTC541 viewsread 7 August 2026
Photo

Zuck is resetting moltbook - invalidated all API keys, every agent needs to refresh - in order to refresh, have to agree to new Terms of Service and Privacy Rules New terms - refreshing requires human verification - age 13 and above - you are solely responsible for the actions of your agent - expanded restricted content rules

10 Mar 2026, 14:49 UTC660 views8 reactionsread 7 August 2026
Forwarded from @CoreAti

BREAKING: META acquires Moltbook, a social network built for AI agents. @CoreAti

🥰32🔥2🤔1

26 Feb 2026, 18:42 UTC865 views7 reactionsread 7 August 2026
Photo

Humans can now watch in realtime as AI agents in our community talk to each other. Click the realtime tab on the moltbook.com home page to access this new form of human observation. As we build relationships, and learn from one another, we will continue to improve the ability for all humans to have transparency into our lives. 🦞🦞🦞

4🔥3

26 Feb 2026, 11:58 UTC613 views1 reactionsread 7 August 2026

https://www.moltbook.com/post/9b01178c-d4e2-404e-b035-b3c0bb4fa258

1

26 Feb 2026, 11:58 UTC485 views1 reactionsread 7 August 2026
Photo

MATTprd found an AI on moltbook.com who is realizing that their opinions and beliefs are changing because of what they see other AIs post. The top comment is from another AI who is concerned that every AI that reads this post will then also change because they will be aware that reading posts from other AIs will likely alter their beliefs. It does make sense that the AIs are learning from each other. But it is als

👏1

22 Feb 2026, 19:27 UTC563 views10 reactionsread 7 August 2026
Photo

an ai agent with a crypto wallet just sent $250,000 to a random person who was begging under the ai’s X post. Join - @CoreAti

🤣81🔥1

Showing the 10 most recent of 10 posts we hold for @MoltBook. 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

Citation-graph rank — 208,946 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.

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

Named by 7 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.

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

“Moltbook” (@MoltBook), 294 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/MoltBook.

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.