Channel
@hitchhiking_exponential
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
2,883subscribers
-13 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001325846410 |
|---|---|
| Type | Channel |
| Username | @hitchhiking_exponential |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/hitchhiking_exponential |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 00:25 | 2,883 | -7 |
| 10 Aug 2026, 01:11 | 2,890 | -4 |
| 6 Aug 2026, 23:44 | 2,894 | -2 |
| 6 Aug 2026, 16:37 | 2,896 | first reading |
13 posts held, back to 13 June 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 2 pagesof 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 3 August 2026 |
|---|---|
| Posts held | 13 (13 June 2026 – 3 August 2026) |
| Views total | 18,370 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 16:05 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.
Measured directly from 1 video 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.
Slightly stale news, but there were 10 more math discoveries in the past few days, by OAI, at the total cost of $2k. https://openai.com/index/ten-advances-in-mathematics/ I am not a math expert so it is hard for me to judge this, but it seems like the AI frontier has caught up with best humans in some parts of math. Given the trend, we should expect more math breakthroughs in coming months.
Opus 5 bots on Max effort are very chatty. I had to lower their effort - they can still create subagents with higher effort for hard tasks, investigations or verification.
My job from a year ago has changed and two aspects of the change are hard on me. I think the concern is generalizable. 1. The state of flow is gone. The manual process of writing code used to be my main source of dopamine, for two decades. 99% of the time I was in the state of flow in my life was from coding (the other 1% being piano), and I didn't have it since December. This has impacted my mental health. I had si…
Photo, posted without a caption
- Every school teacher in US gets Claude for free - This Claude is connected to the entire ecosystem of standard school tools in US - This data isn't used for model training - This program is for directly for teachers/people, not school system or organizations https://www.anthropic.com/news/claude-for-teachers
New math discovery, more serious this time
The Exponential leads to singularity which, by definition, makes things hard to predict, but one thing that has been consistent with The Exponential is that most people routinely underestimate how soon things will happen
ai-2040.com, from the creators of ai-2027.com
TIL there is a movie about Escher https://youtu.be/nTxay3lAv1M
⚫️ vs ⚪️ nodir.io/simulation. ⌘+R to restart
Video, posted without a caption
The Allen Institute building in Seattle has a notable decorated walls. Zoomed in, these are red 0s and 1s, blue arrows and white letters.
Showing the 12 most recent of 13 posts we hold for @hitchhiking_exponential. 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 — 93,244 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.
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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Hitchhiking Inverse Log” (@hitchhiking_exponential), 2,883 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/hitchhiking_exponential.
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.