Telegram RegisterThe public register of Telegram

Channel

Hacker News Insights

@hackernws

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

5,097subscribers

+11 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002435584319
TypeChannel
Username@hackernws
DescriptionTG native Hacker News frontpage + chat with article.
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/hackernws

Growth

5,0865,0975,091.57 August 2026 — 5,086 subscribers7 August 2026 — 5,086 subscribers8 August 2026 — 5,090 subscribers11 August 2026 — 5,097 subscribers7 August 202611 August 2026
4 measurements spanning 4 days, net +11. 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 5,084–5,099 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 21:325,097+7
8 Aug 2026, 13:345,090+4
7 Aug 2026, 19:325,086no change
7 Aug 2026, 19:235,086first reading

Engagement

81 posts held, back to 7 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 6 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
1.14%
avg views ÷ 5,097 subscribers
Avg views / post
58.3
81 posts measured
Reaction rate
1.11%
reactions ÷ views · ER floor
Posts in window
81
of 81 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. It is computed over the 1 of 81 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held81 (7 August 202612 August 2026)
Views total4,722
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 04:47 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
12
Videos
3
Links
20,600

Lifetime counters from Telegram’s own channel header, read 12 August 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.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1100.0%

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 1 of the 81 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 81 most recent posts we hold, published 7 August 2026 to 12 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

12 Aug 2026, 03:19 UTC25 viewsread 12 August 2026

Show HN: Git-knife – Edit commit messages, authors, and dates like a spreadsheet • git-knife is a desktop GUI tool for editing git commit metadata including message, author, and dates. • It enables bulk find & replace with regex and edits author/committer names, emails, and dates. • git-knife shells out to git CLI and rebuilds commits with git commit-tree, ensuring file contents remain unchanged. • It supports Linux,

12 Aug 2026, 03:19 UTC24 viewsread 12 August 2026

Manus will return to operating as an independent company • Manus will become independent and delete some users' data from Aug 23-24, 2026 (SGT). • Affected users can back up data until Aug 23, 2026, 7:59 a.m. SGT and restore from Aug 25, 2026. • Unaffected users can use Manus normally with no action required or charges during backup period. • Notifications will be via app and email; users registering via Apple ID or

12 Aug 2026, 02:55 UTC24 viewsread 12 August 2026

WorldClaw Agentic 3D open-world generation at scale • WorldClaw generates large-scale, editable 3D open-world scenes from single text prompts. • It uses agentic planning to maintain global terrain coherence and rich local detail. • The system produces explicit terrains plus independently editable 3D objects with accurate placement. • WorldClaw's pipeline includes intent analysis, global terrain generation, and region

12 Aug 2026, 01:45 UTC28 viewsread 12 August 2026

Grok Bot • Grok Bot performs tasks autonomously on desktop or iOS using your apps. • Users can manage multiple Bots working in parallel on different projects. • Bots learn workflows by observing user actions and improve over time. • Grok Bot plans to integrate collaborative task handoffs between Bots. • Pricing: Cursor Ultra at $200/month, Premium Teams at $120/seat/month with team features.#GrokBot #AIAutomation #Pr

12 Aug 2026, 00:11 UTC30 viewsread 12 August 2026

Jolt: Clojure compiler implemented with Chez Scheme • Jolt is a self-hosted Clojure implementation compiling to Scheme, running on Chez and Gambit. • It supports full Clojure semantics including persistent data, lazy seqs, multimethods, and core.async. • The 'jolt build' command creates standalone binaries needing no JVM or Scheme runtime. • Real concurrency is provided via OS threads with 'future', 'agent', 'pmap',

11 Aug 2026, 23:01 UTC37 viewsread 12 August 2026

Nvidia Nemotron 3.5 Lightning and NeMo Switchyard • NVIDIA released Nemotron 3.5 Lightning, a 30-billion-parameter open model for specialized AI tasks, with up to 4x faster output speed. • Nemotron 3.5 Lightning is customizable, supports on-premise and cloud deployment, and improves accuracy in domain-specific workflows. • NVIDIA introduced open source NeMo Switchyard, a smart routing library for directing AI request

11 Aug 2026, 22:49 UTC42 viewsread 12 August 2026

What I learned by putting GitHub Copilot behind a MitM proxy • GitHub Copilot uses an OAuth flow for authentication and entitlements validation at startup. • Copilot sends network requests via Electron's Chromium-based network stack, interceptable by mitmproxy. • Copilot selects models dynamically based on intent classification like code-gen or debugging. • Session history including user prompts and AI responses is s

11 Aug 2026, 22:26 UTC40 viewsread 12 August 2026

Compression is prediction • Modern data compression uses transforms, models, and entropy coders like arithmetic coding to shrink data. • Arithmetic coding compresses entire datasets into a single number based on symbol probabilities. • Higher symbol probabilities allow compression to fewer bits per symbol, measured by entropy. • Context-aware models (order-N) vastly improve compression by predicting next symbols more

11 Aug 2026, 22:14 UTC39 viewsread 12 August 2026

Show HN: iPhone app takes simultaneous images from 2 lenses, fuses into 1 photo • Photosynthesis app for iPhone combines two lenses to create one high-res photo. • Supports all iPhones with 2 or 3 rear lenses from iPhone 11 onwards. • No generative AI used; detail comes solely from optical camera data. • Offers free unlimited capture/editing, 3 exports/month; subscription for full features. • Exports include layered

11 Aug 2026, 21:16 UTC41 viewsread 12 August 2026

London Underground begins scanning passengers' faces • BTP is expanding its live facial recognition (LFR) trial into London Underground stations. • The trial aims to enhance public safety and crime detection on the network. • LFR technology matches live images against a watchlist of individuals of interest. • The expansion follows initial trials on certain rail services and stations. • Public awareness and privacy co

11 Aug 2026, 21:04 UTC49 viewsread 12 August 2026

OpenAI’s head of ethics leaves less than a year after joining • OpenAI's head of ethics left the start-up less than one year after joining. • The departure occurred before August 10, 2026, as reported by Financial Times. • No specific reasons for the departure were disclosed in the article. • The Oxford-based start-up had recently hired the ethics head from OpenAI. • The exit highlights challenges in retaining top et

11 Aug 2026, 20:28 UTC53 viewsread 12 August 2026

Mojo 1.0 • Mojo language reaches stable 1.0 release after initial 2023 launch. • Mojo 1.0 provides stable foundation for long-term development, minimizing breaking changes. • New features include Python-style lambda syntax and improved memory safety diagnostics. • MAX framework updated with easier installation and support for GLM-5.2 and Nemotron-H models. • Modular plans to open source Mojo compiler and toolchain wi

Showing the 12 most recent of 81 posts we hold for @hackernws. 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 — 795,380 of 1,169,250entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 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.

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.

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

“Hacker News Insights” (@hackernws), 5,097 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/hackernws.

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.