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Channel

That Web3 Lad

@DvinciLabs

On this record: Previous handles · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

9,167subscribers

-274 since we began measuring on 12 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002003331706
TypeChannel
Username@DvinciLabs
CreatedBetween 1 November 2023 and 30 April 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live29 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 29 August 2026
On Telegramt.me/DvinciLabs

Previous handles

@DvinciLabs was previously reachable at this handle, before switching to its current one. This says nothing about who or what answers at the old handle today — only that this channel no longer does.

@Theweb3lad
held 12 August 202612 August 2026

Growth

9,1679,4419,30412 August 2026 — 9,441 subscribers13 August 2026 — 9,427 subscribers17 August 2026 — 9,380 subscribers19 August 2026 — 9,335 subscribers20 August 2026 — 9,324 subscribers23 August 2026 — 9,276 subscribers26 August 2026 — 9,212 subscribers29 August 2026 — 9,167 subscribers12 August 202629 August 2026
8 measurements spanning 16 days, net -274. 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 9,126–9,482 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
29 Aug 2026, 02:349,167-45
26 Aug 2026, 02:159,212-64
23 Aug 2026, 08:079,276-48
20 Aug 2026, 01:229,324-11
19 Aug 2026, 04:459,335-45
17 Aug 2026, 10:549,380-47
13 Aug 2026, 18:289,427-14
12 Aug 2026, 18:169,441first reading

Engagement

45 posts held, back to 5 October 2024the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 19 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
19.1%
avg views ÷ 9,167 subscribers
Avg views / post
1,750
8 posts measured
Reaction rate
14.2%
reactions ÷ views · ER floor
Posts in window
8
of 45 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 28 August 2026
Posts held45 (5 October 202428 August 2026)
Views total13,986
Reactions total1,992
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 15:04 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

Video runtime
6m 34s
Average length
2m 11s

Measured directly from 3 videos 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.

Reaction mix

2,751 reactions across 25 posts, in 16 distinct kinds. The most used accounts for 32.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
89932.7%
🔥74527.1%
👍72526.4%
❤‍🔥1866.76%
💯943.42%
🥰351.27%
🎉160.582%
😍110.4%
👏100.364%
🤩100.364%
😭70.254%
🐳40.145%
😢40.145%
🤣20.073%
🦄20.073%
🤡10.036%

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 25 of the 45 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 2,751reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 45 most recent posts we hold, published 5 October 2024 to 28 August 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

28 Aug 2026, 12:42 UTC846 views159 reactionsread 28 August 2026

Incoming alpha 👀🥷🏽 Active ?

🔥6151👍47

Signed KNN 克恩

25 Aug 2026, 13:30 UTC≈1,290 views244 reactionsread 28 August 2026
Photo

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🔥106❤‍🔥7464

Signed KNN 克恩

20 Aug 2026, 13:25 UTC≈1,990 views303 reactionsread 28 August 2026
Video

Claim crafthood Gtd fast Dc server is live now… Claim-early-role > First 100 got gtd , claim your role now : discord.gg/Nb9G7xpcE

🔥12294👍87

Signed KNN 克恩

20 Aug 2026, 13:19 UTC≈2,050 views238 reactionsread 28 August 2026
Photo

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100👍75🔥63

Signed KNN 克恩

20 Aug 2026, 08:11 UTC≈2,190 views284 reactionsread 28 August 2026
Photo

Early! Sign up for GTE waitlist & earn points (Raised $15m & backed by Paradigm) >> Head to GTE >> Input your mail >> Verify >> Claim your Username to earn more points >> Connect X & Follow on IG to earn more

120🔥86👍78

Signed KNN 克恩

19 Aug 2026, 15:02 UTC≈1,970 views216 reactionsread 28 August 2026
Video

The more I learn Python, the more I realize programming is really about learning how to give your computer clear instructions. With if/else, I can basically tell my program: “If this is true, do this. If not, do something else.” It’s pretty simple, but seeing it actually work in my code feels good. Watch the full clip on X

🔥81👍6966

Signed KNN 克恩

18 Aug 2026, 18:50 UTC≈2,070 views334 reactionsread 28 August 2026
Video

It’s been a minute. I know I’ve been pretty quiet on here 😅 A lot has been happening behind the scenes. I’ve been spending more time learning programming, software development, and AI, while still keeping an eye on crypto and Web3. I’m getting back to posting here and sharing more of what I’m learning, building, discovering, and experimenting with. Expect programming and development content, AI tools and ideas, pr

👍127113💯94

Signed KNN 克恩

12 Jun 2025, 08:05 UTC513 viewsread 18 August 2026
Photo

Signals Powered by Gamma.io Reward: Points (Bars) Link: https://signals.art/ ➖ Submit your Email > Verify your email ➖ Submit Code: OXDAVINCI ➖ Claim Daily Bars ➖ Scroll Down > Complete tasks ✅ Done!

12 Jun 2025, 05:32 UTC448 viewsread 18 August 2026

stay positioned for Virtuals, your point counts easily. Position for @virtuals_io - visit: https://app.virtuals.io/referral?code=imvOLG - connect wallet or email - head into your profile at the top right corner - locate account settings - make sure to connect your X, TG and GitHub - Create Content about Virtuals on x - also make sure your profile is connected to Kaito

7 Jun 2025, 05:51 UTC275 viewsread 18 August 2026

Claim your notcoin skins Stay tuned for when trading open https://t.me/notgames_bot/profile?startapp=1704094962 How many rare did you get?

Showing the 12 most recent of 45 posts we hold for @DvinciLabs. 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.

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.

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.

Airdrop Lite
@airdrops_lite · 57,971
Telegram ranks this channel #13 of 47 here — alongside 46 others — read 22 August 2026
Airdrop Neptune™
@AirdropNeptune · 103,822
Telegram ranks this channel #15 of 49 here — alongside 48 others — read 15 August 2026
Panther Airdrops
@PantherAirdrops · 54,571
Telegram ranks this channel #16 of 51 here — alongside 50 others — read 23 August 2026
Airdrop Ambition
@AirdropAmbition · 152,121
Telegram ranks this channel #16 of 49 here — alongside 48 others — read 12 August 2026
We Cog ™
@noqro · 46,319
Telegram ranks this channel #17 of 50 here — alongside 49 others — read 27 August 2026
BSC Samurai
@BscSamurai · 174,326
Telegram ranks this channel #18 of 48 here — alongside 47 others — read 16 August 2026
The Coin Cave
@Coin_Cave · 54,670
Telegram ranks this channel #19 of 51 here — alongside 50 others — read 23 August 2026
Thunders Airdrop
@ThundersAirdrop · 58,520
Telegram ranks this channel #19 of 49 here — alongside 48 others — read 22 August 2026
Airdrop Segment
@AirdropSegment · 73,421
Telegram ranks this channel #19 of 47 here — alongside 46 others — read 19 August 2026
Devil Earning
@devil_drop · 81,365
Telegram ranks this channel #20 of 46 here — alongside 45 others — read 18 August 2026
Airdrop Titans
@Airdrop_Titans · 79,363
Telegram ranks this channel #21 of 49 here — alongside 48 others — read 19 August 2026
Airdrop Overlay
@AirdropOverlay · 76,554
Telegram ranks this channel #22 of 52 here — alongside 51 others — read 19 August 2026
Airdrop Envoy
@AirdropEnvoy · 87,997
Telegram ranks this channel #22 of 47 here — alongside 46 others — read 17 August 2026
Gem Hei
@GemHei · 100,471
Telegram ranks this channel #22 of 48 here — alongside 47 others — read 15 August 2026
PRO LOOTERS
@prolooteresss · 47,317
Telegram ranks this channel #23 of 48 here — alongside 47 others — read 26 August 2026
METRO REPORT 🗞
@metroreporten · 71,230
Telegram ranks this channel #23 of 48 here — alongside 47 others — read 19 August 2026
Crypto Blunder
@CryptoBlunder · 57,844
Telegram ranks this channel #24 of 48 here — alongside 47 others — read 22 August 2026
Airdrops 360
@Airdrops_360 · 83,736
Telegram ranks this channel #24 of 53 here — alongside 52 others — read 18 August 2026
CASINO ALERTS
@AIRDROPS_ALERTERS · 57,942
Telegram ranks this channel #26 of 48 here — alongside 47 others — read 22 August 2026
Airdrop HiveX™
@AirdropHiveX · 58,876
Telegram ranks this channel #33 of 46 here — alongside 45 others — read 22 August 2026
Airdrop365
@Airdrop365_Channel · 70,735
Telegram ranks this channel #57 of 68 here — alongside 67 others — read 20 August 2026

This channel appears in 21 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“That Web3 Lad” (@DvinciLabs), 9,167 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/DvinciLabs.

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.