Channel
@HNDigestEN
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
40subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003507719586 |
|---|---|
| Type | Channel |
| Username | @HNDigestEN |
| Description | The best of Hacker News, curated: real summaries and what the community actually thinks. Three stories daily, deep digest on Saturdays. • @HNDigestRU • @HNDigestUZ |
| Created | Between 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/HNDigestEN |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 19:31 | 40 | no change |
| 7 Aug 2026, 23:48 | 40 | first reading |
20 posts held, back to 4 August 2026 — the 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.
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 10 August 2026 |
|---|---|
| Posts held | 20 (4 August 2026 – 10 August 2026) |
| Views total | 263 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Aug 2026, 19:31 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.
Lifetime counters from Telegram’s own channel header, read 10 August 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.
How I use LLMs to learn complex topics Generating interactive, low-poly web simulations like ChipTycoon via LLM prompts provides a visual, hands-on workflow for mastering complex manufacturing processes. 💬 Skepticism emerged over the author's 'hallucination-free' claim, with warnings about the danger of learning incorrect facts from LLMs. → discussion 770 points · 502 comments · #daily · @HNDigestEn
Windows 11's built-in Weather app wastes more than 1 GB of RAM The WebView2-based application consumes up to 1.6 GB of RAM and displays embedded ads because it runs as an MSN web app rather than a native Windows utility. 💬 Several users criticized the embedded ads, while others questioned if the author confused active RAM with page file allocation. → discussion 550 points · 475 comments · #daily · @HNDigestEn
Ask HN: What are you working on? (August 2026) HN users are building a Zig-based Linux screen recorder using Vulkan Video, a single-HTML SQL editor using AGENTS.md metadata tables, and a printed monthly newspaper designed to reduce kids' screen time. 214 points · 752 comments · #daily · @HNDigestEn
Danish high schoolers will have to verbally defend written assignments Denmark will implement oral defenses for high school papers to counter AI cheating, reviving a traditional academic testing format to ensure students actually wrote their own work. 💬 Danish educators note oral defenses are a traditional, recently defunded format now returning to counter AI-assisted plagiarism. → discussion 599 points · 271 comm…
“Code was never the hard part” is an insult to all programmers High developer salaries, rigorous technical interviews, and persistent software bugs counter the claim that coding is easy, highlighting that implementation remains a highly complex craft even in the AI era. 💬 Several users point out the author is an AI consultant, while others debate the distinction between builders and engineers. → discussion 764 poi…
HN Digest | The Best of Hacker News pinned «Hacker News Digest #24 1 Aug — 8 Aug 2026 1. Changes at Google DeepMind: Demis Hassabis from CEO to Chair, Jeff Dean departs Demis Hassabis is transitioning to Chair of Google DeepMind, Koray Kavukcuoglu is stepping up as SVP, and Jeff Dean is leaving to…»
Hacker News Digest #24 · 6–10 6. SQLite Critical CVEs or LLM Slop? Security researchers discovered that a batch of critical SQLite CVEs, initially rated 10.0 by Red Hat, were completely fabricated, AI-generated slop referencing non-existent functions. 💬 Security professionals warn that automated ingestion of unverified CVEs creates a massive, expensive triage burden for organizations. → discussion726 points · 374 …
Hacker News Digest #24 1 Aug — 8 Aug 2026 1. Changes at Google DeepMind: Demis Hassabis from CEO to Chair, Jeff Dean departs Demis Hassabis is transitioning to Chair of Google DeepMind, Koray Kavukcuoglu is stepping up as SVP, and Jeff Dean is leaving to co-found an independent public benefit corporation called Discovery Loop. 💬 Industry observers view this as a massive organizational shift, noting Hassabis's hist…
Taste Is All That's Left AI code generation collapses the distance between idea and artifact, making human judgment—developed through sitting with past mistakes—the only remaining scarce skill in software engineering. 💬 Some commenters argue that prioritizing taste over speed leads to market failure, as markets cannot easily measure quality. → discussion 592 points · 464 comments · #daily · @HNDigestEn
🔥 US strikes $1.2B deal to pay German firm to halt offshore wind projects German energy giant RWE will reinvest the $1.2 billion payout into conventional gas projects, including a $900 million LNG export terminal in Louisiana, after relinquishing its US offshore wind leases. 💬 Intense debate focused on the hypocrisy of canceling wind leases while redirecting public funds to fossil fuel projects. → discussion 456 p…
Mario Meets Pareto Mario Kart 8 has tens of thousands of driver, kart, tire, and glider combinations, but applying Pareto efficiency filters out dominated options to reveal the mathematically optimal builds. 💬 Readers praised the interactive, 3D presentation and discussed applying Pareto frontiers to software trade-offs like security versus user experience. → discussion 1047 points · 160 comments · #daily · @HNDig…
AMD acquires Taalas to boost inference performance by etching models in silicon Early tech demos of Taalas's model-specific integrated circuits achieved inference speeds of up to 17,000 tokens per second by hardwiring specific LLMs directly into silicon. 💬 Disappointment that Taalas will not launch independent hardware is balanced by optimism for AMD's integration of the technology. → discussion 513 points · 394 c…
Showing the 12 most recent of 20 posts we hold for @HNDigestEN. 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 — 598,628 of 1,350,102entries 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.
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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“HN Digest | The Best of Hacker News” (@HNDigestEN), 40 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/HNDigestEN.
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.