Gem — an AI assistant in Telegram that gets things done https://t.me/gembot

Channel
Labs
@LabsVC
On this record: Topic · Growth · Engagement · What this channel posts · View velocity · Posts · Citations · Telegram's recommendations · Domains linked from posts · Cite this entry
1,223,915subscribers
-122,089 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among the largest entries.
Register entry
| Telegram ID | -1002221079708 |
|---|---|
| Type | Channel |
| Username | @LabsVC |
| Description | Labs – AI Venture Studio labs.vc |
| Created | 1 August 2024 — measured — dated from the channel’s first post |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/LabsVC |
Topic
Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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 |
|---|---|---|
| 18 Sept 2026, 03:01 | 1,223,915 | -5,363 |
| 15 Sept 2026, 22:01 | 1,229,278 | -4,216 |
| 14 Sept 2026, 07:56 | 1,233,494 | -5,548 |
| 12 Sept 2026, 12:58 | 1,239,042 | -4,288 |
| 10 Sept 2026, 13:36 | 1,243,330 | -9,518 |
| 7 Sept 2026, 08:38 | 1,252,848 | -9,049 |
| 4 Sept 2026, 13:41 | 1,261,897 | -4,656 |
| 3 Sept 2026, 00:17 | 1,266,553 | -3,648 |
| 2 Sept 2026, 00:13 | 1,270,201 | -3,479 |
| 31 Aug 2026, 21:45 | 1,273,680 | -3,239 |
| 31 Aug 2026, 01:17 | 1,276,919 | -3,419 |
| 30 Aug 2026, 00:05 | 1,280,338 | -3,610 |
| 28 Aug 2026, 21:42 | 1,283,948 | -2,158 |
| 28 Aug 2026, 00:36 | 1,286,106 | -2,432 |
| 27 Aug 2026, 01:13 | 1,288,538 | -1,579 |
| 26 Aug 2026, 04:17 | 1,290,117 | -3,836 |
| 25 Aug 2026, 01:54 | 1,293,953 | -3,113 |
| 23 Aug 2026, 15:53 | 1,297,066 | -5,663 |
| 22 Aug 2026, 02:05 | 1,302,729 | -4,159 |
| 20 Aug 2026, 17:14 | 1,306,888 | first reading |
Engagement
15 posts held, back to 1 August 2024 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 106 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.125%
- avg views ÷ 1,223,915 subscribers
- Avg views / post
- 1,530
- 2 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 2
- of 15 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 22 September 2026 |
|---|---|
| Posts held | 15 (1 August 2024 – 22 September 2026) |
| Views total | 3,069 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 01:31 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
- Photos
- 2
- Links
- 11
Lifetime counters from Telegram’s own channel header, read 26 September 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.
View velocity
How fast this channel’s own posts pick up views, from re-reading them repeatedly in the hours and days after they were published rather than the single reading most entries on this register get. Coverage is early and only a small minority of channels hold it at all — a gap in this section means the post has not been re-read again yet, not that nothing happened.
| Post | Readings | Latest reading | Curve | 24h reach | Half of last-observed views by |
|---|---|---|---|---|---|
| /13314 Sept 2026, 09:10 UTC | 11155 minutes – 10 days old | 2,090 views ~no reaction reading | 60 minutes: 198 interp. → 3.0 hours: 317 → 6.0 hours: 399 → 12 hours: 513 → 24 hours: 617 → 2 days: 803 → 7 days: 1,300still climbing at last reading | 617measured | 4 days |
| /13227 Aug 2026, 11:59 UTC | 13043 minutes – 7 days old | 1,460 views ~no reaction reading | 60 minutes: 271 interp. → 3.0 hours: 395 → 6.0 hours: 478 → 12 hours: 574 → 24 hours: 665 → 2 days: 815 → 7 days: 1,460views have flattened out | 665measured | 32 hours |
Curve is every standard checkpoint we hold a reading for (+1h, +3h, +6h, +12h, +24h, +48h, +7d after posting) — measured where a real reading landed close enough to that age, interpolated where it did not but readings on both sides let one be worked out between them. Nothing is ever extrapolated past the last real reading. Latest reading is the newest view and reaction count we hold for the post, side by side, so a gap between how views and reactions moved is visible without following it into the Observations section above. 24h reach is that one checkpoint on its own, labelled the same way. Half of last-observed views is the age at which a post’s view count crossed half of the highest figure we have read for it so far — an upper bound when the very first reading was already past half (we cannot see the actual crossing), and biased low while the post is still climbing, since “half of final” is dividing by a number that has not finished growing yet. Both caveats are printed inline wherever they apply, never silently dropped.
Recent posts
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Notepad — Your Telegram Second Brain @notepadbot Notepad is a Telegram bot that turns your chat into a personal knowledge base. Send it anything — a thought, a forwarded message, a document, or a voice note — and it saves, understands, and organizes it for you. Everything lives in a clean Mini App, and you can hand your whole brain to an AI assistant through one secure link. Capture Anything • Just type — any mes…
Can you beat AI in predictions in BTC and TON?
Over coffee this morning, the founder of Labs shipped this in two prompts inside drafts — Labs' system for building software the way you'd write a note. For people, not programmers. # lists a todo app where gestures replace buttons and productivity feels like a game. install once, live in it. pull down to add. swipe to check, remind, or delete. pinch to switch lists. long-press to drag. eight themes, light/dark t…
Some backstage ideas we test – https://beta.labs.vc/
Project Aipiens is the personal AI operating system that upgrades any human into a next-gen version of themselves. Not a chatbot. Not an assistant. A bespoke, scaled version of you — your memory, your judgment, your tools, your voice — running at 10x, 100x, 1,000x. Every Aipien is unique, like a snowflake: built from the same infrastructure, but tailored entirely to who you are. Membership by invitation. $999/month. …
Channel photo updated
Open Labs alpha launches May the 4th... labs.co
Try Atom – atom.me/hello
Open Labs is an open-source AI marketplace where anyone can build working AI systems — not by writing code, but by connecting pieces on a visual canvas and watching something real get produced. A playable game, a startup pitch deck, a trip guide, a creator page — one prompt in, one shareable result out, living at your own URL and forkable by anyone. Flat 10% commission across every layer. Every result you publish ear…
Showing the 12 most recent of 15 posts we hold for @LabsVC. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
@blumcrypto · 14,188,780#1
@tlive · 1,719,051#2
@gram · 6,641,039#3
@tomarket_ai · 6,580,713#4
@ToNmetasilense · 2,730,678#5
@GTM_TON · 839,919#6
@tonlines · 425,039#7
@pilotdao · 1,277,913#8
@architecton_tech · 2,014,381#9
@smska · 458,631#10
@cryptopriority · 555,287#11
@DailyDirtyMemes · 225,499#12
@boomloudcoin · 1,653,140#13
@activitylauncher_offical · 4,519,917#14
@toncapy_community · 512,731#15
@trust_empire_en · 825,899#16
@gameechannel · 1,882,229#17
@dogs · 7,065,215#18
@DeCenter · 1,823,722#19
@hamster_kombat · 20,830,171#20
@Crypto_Woolf · 2,171,582#21
@hash_cats · 2,064,245#22
@notcoin · 8,552,225#23
@money · 2,932,436#24
@Cats_housewtf · 7,850,625#25
@theyescoin · 5,634,397#26
@kripota4 · 694,128#27
@tu_crypto_news_en · 664,055#28
@realgoats_channel · 4,621,170#29
@biznest0n · 665,957#30
@seedupdates · 8,102,878#31
@hexnio · 1,998,607#32
@ONE_Quest_sub · 3,026,567#33
@catizenann · 3,550,802#34
@aipost · 700,241#35
@youtoytech · 327,262#36
@TonAirDrop_ru · 1,125,004#37
@catapult_extreme · 8,398,685#38
@Bitget_Wallet_Announcement · 3,968,612#39
@tapswapai · 10,368,717#40
@fx_holding_community · 5,999,312#41
@TimeFarmChannel · 5,234,054#42
@rockyrabbitio · 3,502,824#43
@brainscoin · 697,089#44
@trendingapps · 3,784,156#45
@Kitonomika · 453,430#46
@partona_news · 1,268,685#47
@RoolzRussia · 1,057,103#48
@headlines · 364,365#49
@barboskich_ton · 16,617#50
@burning_meme · 357,799#51
@belevskmove · 1,068,885#52
@tonstationgames · 3,193,102#53
@dotcoincommunity · 3,940,724#54
@iamalexfalcon · 3,054,448#55
@whalesports · 355,220#56
@onus_globalchannel · 1,650,302#57
@builders · 3,409,127#58
@rouziicrypto · 462,669#59
@fintopionews · 2,234,803#60
@alenkaontg · 21,321#61
@pigscrew · 2,142,006#62
@CEXIO_Announcements · 2,473,393#63
@league · 995,406#64
@keeper_en · 4,702,191#65
@onerussia · 1,392,766#66
@Holdcoin_Channel · 2,182,616#67
@roolzGods · 1,301,068#68
@deckforge_official · 2,044,558#69
@nomis_protocol · 1,536,662#70
@roxman · 7,149,616#71
@VoletCom · 500,793#72
@hayzonn · 2,830,164#73
@givemetonru · 2,065,652#74
@sportsdirect_eng · 378,587#75
@crypto_way_up · 572,625#76
@whalememes · 933,156#77
@travel_dada · 368,320#78
@whisper_in_the_night · 1,567,897#79
@prank · 504,897#80
@rumerger · 424,988#81
@spintrru · 616,316#82
@token_1win · 2,980,801#83
@fintopiochannel · 1,077,088#84
@doge1 · 632,660#85
Read from Telegram’s recommendation API, most recently 10 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
@pilotdao · 1,277,913
Telegram ranks this channel #17 of 87 here — alongside 86 others — read 10 August 2026
@partona_news · 1,268,685
Telegram ranks this channel #31 of 82 here — alongside 81 others — read 10 August 2026
@nicegramapp · 1,546,829
Telegram ranks this channel #50 of 72 here — alongside 71 others — read 10 August 2026
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
6 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“Labs” (@LabsVC), 1,223,915 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/LabsVC.
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.