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Channel

Hacker News

@hacker_news_feed

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cross-platform identity · Referenced elsewhere · Cite this entry

29,319subscribers

+227 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001020923877
TypeChannel
Username@hacker_news_feed
DescriptionTop stories from https://news.ycombinator.com (with 100+ score) Contribute to the development here: https://github.com/phil-r/hackernewsbot Also check https://t.me/designer_news Contacts: @philr
Created22 January 2016measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded5 August 2026
Last confirmed live16 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/hacker_news_feed

Growth

29,09229,31929,205.55 August 2026 — 29,092 subscribers6 August 2026 — 29,109 subscribers7 August 2026 — 29,134 subscribers8 August 2026 — 29,174 subscribers9 August 2026 — 29,201 subscribers10 August 2026 — 29,237 subscribers11 August 2026 — 29,258 subscribers12 August 2026 — 29,276 subscribers14 August 2026 — 29,296 subscribers16 August 2026 — 29,319 subscribers5 August 202616 August 2026
10 measurements spanning 10 days, net +227. 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 29,058–29,353 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 03:1329,319+23
14 Aug 2026, 11:4529,296+20
12 Aug 2026, 23:5429,276+18
11 Aug 2026, 21:0229,258+21
10 Aug 2026, 20:0729,237+36
9 Aug 2026, 17:0429,201+27
8 Aug 2026, 18:0029,174+40
7 Aug 2026, 20:3129,134+25
6 Aug 2026, 21:5729,109+17
5 Aug 2026, 18:1629,092first reading

Engagement

235 posts held, back to 6 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 22 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.70%
avg views ÷ 29,319 subscribers
Avg views / post
1,670
235 posts measured
Reaction rate
0.921%
reactions ÷ views · ER floor
Posts in window
235
of 235 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 229 of 235 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 16 August 2026
Posts held235 (6 August 202616 August 2026)
Views total393,038
Reactions total3,540
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Aug 2026, 04:41 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

Links
131,000

Lifetime counters from Telegram’s own channel header, read 16 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

3,540 reactions across 229 posts, in 12 distinct kinds. The most used accounts for 29.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,05729.9%
💩75521.3%
41811.8%
😁39811.2%
🔥2767.80%
😢1845.20%
🤯1293.64%
🤩1213.42%
🎉671.89%
👎611.72%
😱391.10%
🤔350.989%

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 229 of the 235 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 3,540reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 235 most recent posts we hold, published 6 August 2026 to 16 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

16 Aug 2026, 03:40 UTC264 views3 reactionsread 16 August 2026

Asus Bike Booster (❄️ Score: 154+ in 3 days) Link: https://readhacker.news/s/72yE6 Comments: https://readhacker.news/c/72yE6

👍2💩1

16 Aug 2026, 01:50 UTC482 views2 reactionsread 16 August 2026

Abdominal fat predicts heart disease risk better than BMI (Score: 152+ in 4 hours) Link: https://readhacker.news/s/72Pgm Comments: https://readhacker.news/c/72Pgm

2

15 Aug 2026, 23:40 UTC722 views10 reactionsread 16 August 2026

A controversial Alzheimer's surgery is said to reverse symptoms (Score: 150+ in 7 hours) Link: https://readhacker.news/s/72NvA Comments: https://readhacker.news/c/72NvA

🤯8👍2

15 Aug 2026, 23:30 UTC708 views2 reactionsread 16 August 2026

A spectre is haunting Unicode (Score: 150+ in 8 hours) Link: https://readhacker.news/s/72Nag Comments: https://readhacker.news/c/72Nag

👍2

15 Aug 2026, 20:40 UTC≈1,220 views5 reactionsread 16 August 2026

RISC-V: They Should Have Known Better (Score: 152+ in 1 day) Link: https://readhacker.news/s/72J45 Comments: https://readhacker.news/c/72J45

2🤔2👍1

15 Aug 2026, 19:50 UTC≈1,380 views5 reactionsread 16 August 2026

The mathematical beauty of hyperbezier curves (❄️ Score: 151+ in 5 days) Link: https://readhacker.news/s/72nDr Comments: https://readhacker.news/c/72nDr

👍5

15 Aug 2026, 19:50 UTC≈1,350 views11 reactionsread 16 August 2026

The First At-Home Test for Infected Ticks Could Improve Lyme Disease Diagnosis (Score: 150+ in 5 hours) Link: https://readhacker.news/s/72N5U Comments: https://readhacker.news/c/72N5U

👍11

15 Aug 2026, 19:40 UTC≈1,300 views9 reactionsread 16 August 2026

Show HN: Eigendrum - Draw any shape and hear what it sounds like as a drum (❄️ Score: 151+ in 5 days) Link: https://readhacker.news/s/72rzq Comments: https://readhacker.news/c/72rzq Hi HN, I built Eigendrum, a web tool that solves the 2D wave equation for arbitrary shapes so you can hear what they sound like as drums. How it works: * Solves -∇²u = λu using finite element analysis (Kφ = λMφ) on a triangle mesh. * Va

👍4🔥41

15 Aug 2026, 19:40 UTC≈1,240 views25 reactionsread 16 August 2026

AI Isn't Outthinking Mathematicians. It's Out-Remembering Them (🔥 Score: 166+ in 1 hour) Link: https://readhacker.news/s/72NLx Comments: https://readhacker.news/c/72NLx

👍25

15 Aug 2026, 18:40 UTC≈1,480 views5 reactionsread 16 August 2026

Semaglutide linked to 26% lower 5-year predicted dementia risk (🔥 Score: 150+ in 2 hours) Link: https://readhacker.news/s/72Npd Comments: https://readhacker.news/c/72Npd

😱4💩1

15 Aug 2026, 18:00 UTC≈2,410 views30 reactionsread 16 August 2026

Working with AI Feels More Like Leadership Than Coding (Score: 151+ in 7 hours) Link: https://readhacker.news/s/72MFV Comments: https://readhacker.news/c/72MFV

👍20💩64

15 Aug 2026, 14:50 UTC≈1,960 views23 reactionsread 16 August 2026

Auto-research with codex: How I achieved a 232x Faster Kernel (🔥 Score: 156+ in 3 hours) Link: https://readhacker.news/s/72MHF Comments: https://readhacker.news/c/72MHF

💩17👍5🤩1

Showing the 12 most recent of 235 posts we hold for @hacker_news_feed. 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 — 9,561 of 1,481,217entries 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 10 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.

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.

Programmer Jokes
@programmerjokes · 107,703
Telegram ranks this channel #6 of 90 here — alongside 89 others — read 15 August 2026
The Hacker News
@thehackernews · 162,130
Telegram ranks this channel #25 of 58 here — alongside 57 others — read 13 August 2026
Science in telegram
@science · 120,860
Telegram ranks this channel #60 of 92 here — alongside 91 others — read 14 August 2026
Computer Science and Programming
@computer_science_and_programming · 140,972
Telegram ranks this channel #68 of 87 here — alongside 86 others — read 13 August 2026

This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cross-platform identity — Wikidata

A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.

Q110437271 on Wikidata, read 16 August 2026
LabelHacker News
DescriptionTelegram channel for content published in Hacker News
Official sitehttps://t.me/hacker_news_feed

Referenced elsewhere

This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.

Hacker News

This handle was named 12 times in a Hacker News comment or story, via the public Algolia search API. HN comment and story text has no confirmed reuse licence, so nothing quoted from either is reproduced here — only that a mention exists, when, and by whom, with a link to read it at the source.

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

“Hacker News” (@hacker_news_feed), 29,319 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/hacker_news_feed.

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.