A hub for startup news, trends, and insights, covering the global startup ecosystem for founders, investors, and innovators.
Community: @startupdis
Buy Ads: @strategy (this is our only account).
Created
22 April 2019 — measured — dated from the channel’s first post
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 58% 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 the other topics.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 4 other registered channels. This entry also sits inside a group of 3 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 7 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 3,070 comparable posts for this entry, running 22 April 2019 to 10 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Of the group of 3 channels, the one whose matching posts we hold earliest is @tech — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_source, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Channels linked by matching posts
This channel is in a group of 3 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
171 measurements spanning 97 days, net -495,857. 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 1,924,962–2,569,577 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 171
Measured (UTC)
Subscribers
Change
11 Nov 2026, 01:10
1,999,341
no change
11 Nov 2026, 01:05
1,999,341
-1,207
10 Nov 2026, 18:06
2,000,548
-3,730
9 Nov 2026, 10:05
2,004,278
-764
9 Nov 2026, 07:59
2,005,042
-2,004
9 Nov 2026, 02:58
2,007,046
-4,951
8 Nov 2026, 03:00
2,011,997
-402
8 Nov 2026, 00:40
2,012,399
-1,775
7 Nov 2026, 17:56
2,014,174
-4,897
6 Nov 2026, 23:40
2,019,071
-150
6 Nov 2026, 22:56
2,019,221
-548
6 Nov 2026, 17:26
2,019,769
-3,725
5 Nov 2026, 23:16
2,023,494
-589
5 Nov 2026, 21:07
2,024,083
-1,310
5 Nov 2026, 16:37
2,025,393
-2,866
4 Nov 2026, 23:36
2,028,259
-1,350
4 Nov 2026, 18:46
2,029,609
-464
4 Nov 2026, 16:34
2,030,073
-8,546
3 Nov 2026, 22:50
2,038,619
-371
3 Nov 2026, 22:06
2,038,990
first reading
Engagement
3,272 posts held, back to 22 April 2019 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 4,352 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.276%
avg views ÷ 1,999,341 subscribers
Avg views / post
5,510
76 posts measured
Reaction rate
20.5%
reactions ÷ views · ER floor
Posts in window
76
of 3,272 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
Window
Rolling 30 days · latest post in window 11 November 2026
Posts held
3,272 (22 April 2019 – 11 November 2026)
Views total
418,864
Reactions total
86,040
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 13:51 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
≈1,830
Videos
≈845
Links
≈1,910
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
1h 38m
Average length
48s
Measured directly from 123 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.
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.
Computed from 76 of this channel’s own posts over the last 30 days: across 73 of this channel’s own posts with a clear reading, a typical one reaches half of its last-observed view count within 18 hours of being posted; a typical post has already reached 23.2% of its 24-hour view count within the first hour, and 59.4% within the first six; the median 24-hour reach across those posts is 3,090 views — 0.155% of this channel’s own subscriber count (90th percentile 3,448).
8 most recently posted, with a view-velocity reading
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.
Reaction mix
294,218 reactions across 286 posts, in 19 distinct kinds. The most used accounts for 21.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
62,791
21.3%
👍
31,343
10.7%
🔥
22,093
7.51%
👎
18,034
6.13%
😁
17,969
6.11%
🤔
16,840
5.72%
🤯
12,974
4.41%
👏
11,891
4.04%
😱
10,513
3.57%
🙏
10,486
3.56%
🤩
10,269
3.49%
💯
9,979
3.39%
💔
9,040
3.07%
👌
9,007
3.06%
🐳
8,961
3.05%
🤝
8,961
3.05%
🦄
7,746
2.63%
🎉
7,721
2.62%
😢
7,600
2.58%
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 995 of the 1,000 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 552,772 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 26 November 2025 to 11 November 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.
Telegram Stars
Stars received
12
across the posts below
Posts paid on
10
of 995 we hold a reading for · 1%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @tech. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 26 November 2025 to 11 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 76 posts held from the last 30 days (1.32%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🤖 OpenAI Adds a $200 Retro Console
The ModRetro Chromatic Codex Edition costs $200 and reads Game Boy and Game Boy Color cartridges. It includes a rewritable cartridge for custom games.
With the ModRetro plugin, users can describe a game in Codex, then have it build levels and animate sprites. A demo snowboard level ran on the Chromatic.
Games can be tested in a built-in emulator, then written to the cartridge aft…
🤖 Claude Moves Into Office Work
Claude Meetings joins calls and writes meeting notes. In Sheets, it edits spreadsheets. Whiteboards lets users arrange ideas on a shared board.
Boards and spreadsheets are already available to subscribers. Adobe, Jira, Confluence, and Slack now open directly inside Claude.
After the announcement, Microsoft shares fell almost 3%.
📊@tech
🔓 A Sensor Powered by Wiring
30 million times less energy than one AirPod powers a battery-free temperature sensor. A graphene coil with a steel core harvests energy from the changing magnetic field around AC wiring.
A Cockcroft-Walton multiplier raises the weak alternating signal to DC voltage, while three capacitors store the energy. If the wiring loses power, the reserve can last a day, and likely a week.
The n…
🪙 Seppuku Oath in Ethereum Plan
A former employee’s lawsuit says Ethereum Foundation staff were required to swear to commit seppuku if the software stopped being free. The oath was added to the foundation’s plan for the next 1000 years.
They had one weekend to sign or quit. About 80 of 250 employees asked for the clause to be removed.
Management kept it as “artistic decoration”, redrawing the text as an image with…
🤖 Fable 5.2 Matches Opus at Lower Cost
On FrontierCode 2.0, Fable 5.2 with High effort matched Opus 5.5 at Max effort. Its cost per task was almost 2x lower. API pricing fell to $8/$40 from $10/$50.
Fable 5.2 also performed better with physical robots, including tasks it was not trained for. It scored 64.9% on RoboDojo, versus 29.8% for GPT-6 Astra. Mythos 5.2 proposed a new method for modeling capsids used in gene…
📼 Raea renders AI video up to 20x faster
Raea renders video without a browser, using the GPU directly. Its author claims 10-20x faster processing on complex scenes than Remotion and Hyperframes.
The engine can create 3D scenes and games, plus music and sound effects. Projects are written in TypeScript and React, then rendered locally through Rust and Bevy.
Claude Code can write composition code, run the render, in…
Ⓜ️ Meta launches no-code Spaces
Users describe a task in plain language, and AI builds the interface and required functionality. The resulting app can be edited through chat.
Spaces supports Gmail and Google Calendar. Data can update automatically without asking the AI again, for example by finding school events in emails and adding them to a calendar.
Created tools are saved inside Muse, where users can place the…
🤖 OpenAI Bans Users Without Warning
After login, users see an error and lose access to chats and notes. Appeals are rejected within a minute.
Online reports link the bans to VPN use and frequent IP changes. OpenAI has not commented.
📊@tech
🤖 Claude Starts Reading Bank Statements
Anthropic is testing Personal Finance in Claude for paid subscribers on its Pro, Max, or Ultra plans in the US. Accounts connect through Plaid, which links to more than 12,000 financial institutions.
Claude can spot unexpected fees and duplicate charges, then flag monthly bills that rose over the past year. It can chart weekly spending, break down a budget, and explain unfami…
🤖 OpenAI Explains GPT Image 2.5
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The examples cover photorealistic images, ad creatives, logos, infographics, and comics. The guide also addresses reference images, consistent character appearance, and accurate text render…
📣 OnlyFake Made $1.2 Million From Fake IDs
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Yury Nazarenko started on an old PC with Photoshop. Neural networks put production on a conveyor. He withdrew the profits to a Binance account in his real name.
Arrested in 2025 on a US warrant, he …
🤖 OpenAI changes tone after US vote
After Democrats won yesterday’s congressional elections, Sam Altman spoke for OpenAI in favor of keeping AI under human control. Not long ago, he wrote that sacrifices on the road to progress were inevitable.
Tech giants called Trump’s administration a “good friend” for tax breaks and support for data-center construction. They also received government contracts. Now they are cont…
❤404🔥330👎269👍156😁81
Showing the 12 most recent of 3,272 posts we hold for @tech. 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.
Posts edited after publishing
@tech edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
9 August 2026
Most recent edit
9 August 2026
Mentions
Named by 17 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
Handles this channel named that no longer answer
Dead references
8
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
8
vacant every time we have ever looked
@tech named 8 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@pitchcamp named in 2 posts, 8 August 2026 – 8 August 2026
@collaboroovin named in 2 posts, 8 August 2026 – 8 August 2026
@globalpassinfo named in 1 post, 8 August 2026 – 8 August 2026
@heorhi_talochka named in 1 post, 8 August 2026 – 8 August 2026
@iamajeet2 named in 1 post, 8 August 2026 – 8 August 2026
@meta_orange named in 1 post, 8 August 2026 – 8 August 2026
@tedefibot named in 1 post, 8 August 2026 – 8 August 2026
@ether named in 1 post, 8 August 2026 – 8 August 2026
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.
Read from Telegram’s recommendation API, most recently 8 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.
Programmer ♨️ @programmer · 177,835 Telegram ranks this channel #1 of 78 here — alongside 77 others — read 11 August 2026
AI Post — Artificial Intelligence @aipost · 665,959 Telegram ranks this channel #1 of 83 here — alongside 82 others — read 8 August 2026
Venture Capital @venture · 1,967,695 Telegram ranks this channel #1 of 78 here — alongside 77 others — read 8 August 2026
Crypto Insider @coinmarket · 1,888,561 Telegram ranks this channel #1 of 79 here — alongside 78 others — read 8 August 2026
Trade Watcher @stockbot · 1,948,049 Telegram ranks this channel #2 of 79 here — alongside 78 others — read 8 August 2026
Not Memes @notmemes · 86,765 Telegram ranks this channel #4 of 81 here — alongside 80 others — read 18 August 2026
Solanapayouts.com @SolanaPayouts · 174,710 Telegram ranks this channel #5 of 79 here — alongside 78 others — read 11 August 2026
Everscale News @everscale_news · 264,902 Telegram ranks this channel #5 of 79 here — alongside 78 others — read 10 August 2026
The Daily Stats @dailystats · 29,866 Telegram ranks this channel #6 of 82 here — alongside 81 others — read 6 September 2026
KKX NEWS @kkxnews · 138,389 Telegram ranks this channel #8 of 78 here — alongside 77 others — read 12 August 2026
Newcastle United @newcastle · 91,695 Telegram ranks this channel #10 of 80 here — alongside 79 others — read 16 August 2026
$VODKA | MEMECOIN ON $SOL @vodkatokensol · 247,184 Telegram ranks this channel #14 of 80 here — alongside 79 others — read 10 August 2026
OOIA - TON NFT Marketplace @ooiaton · 236,118 Telegram ranks this channel #14 of 78 here — alongside 77 others — read 10 August 2026
TONX 💎 @TONXstudio · 99,769 Telegram ranks this channel #15 of 81 here — alongside 80 others — read 15 August 2026
Apple News @iphone · 135,037 Telegram ranks this channel #19 of 79 here — alongside 78 others — read 29 August 2026
tAppTales @tapptales · 98,792 Telegram ranks this channel #20 of 78 here — alongside 77 others — read 15 August 2026
BUSINESS TIPS 101 @bussiness101 · 36,954 Telegram ranks this channel #23 of 54 here — alongside 53 others — read 31 August 2026
Not Meme @notmeme · 161,891 Telegram ranks this channel #24 of 78 here — alongside 77 others — read 12 August 2026
ChatGPT Tips, Prompts & AI Tools @GPT_ChatGPT_AI_Tools · 59,315 Telegram ranks this channel #25 of 77 here — alongside 76 others — read 22 August 2026
🤖 Claude | GPT-6 | Deepseek | Gemini👨🏻💻 @gpt_anthropic · 24,561 Telegram ranks this channel #27 of 85 here — alongside 84 others — read 14 September 2026
CoLabs: coNFT, CoPump, CoPass @co_nft · 141,254 Telegram ranks this channel #28 of 81 here — alongside 80 others — read 12 August 2026
TON News @newston_en · 133,774 Telegram ranks this channel #29 of 78 here — alongside 77 others — read 13 August 2026
Tech, Science & Innovation @Tech_Science_Innovation · 36,739 Telegram ranks this channel #30 of 76 here — alongside 75 others — read 31 August 2026
Computer Science and Programming @computer_science_and_programming · 138,623 Telegram ranks this channel #30 of 87 here — alongside 86 others — read 13 August 2026
This channel appears in 50 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
191 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.
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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“Startups & Ventures” (@tech), 1,999,341 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/tech.
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.
