Channel
@vahesthoughts_tech
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
209subscribers
-2 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003311436504 |
|---|---|
| Type | Channel |
| Username | @vahesthoughts_tech |
| Created | Between 1 November 2025 and 14 February 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 31 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 2 times, most recently 31 August 2026 |
| On Telegram | t.me/vahesthoughts_tech |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 23 Aug 2026, 20:53 | 209 | -1 |
| 16 Aug 2026, 01:54 | 210 | -1 |
| 8 Aug 2026, 11:02 | 211 | no change |
| 8 Aug 2026, 00:04 | 211 | first reading |
20 posts held, back to 14 February 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 29 July 2026. An engagement rate over an empty window would be a number about nothing.
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.
188 reactions across 20 posts, in 12 distinct kinds. The most used accounts for 46.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 88 | 46.8% | |
| 😁 | 39 | 20.7% | |
| 🔥 | 26 | 13.8% | |
| 👍 | 14 | 7.45% | |
| 💯 | 5 | 2.66% | |
| 🙏 | 5 | 2.66% | |
| 😢 | 4 | 2.13% | |
| ❤🔥 | 2 | 1.06% | |
| 🎉 | 2 | 1.06% | |
| 👌 | 1 | 0.532% | |
| 👏 | 1 | 0.532% | |
| 😱 | 1 | 0.532% |
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 20 of the 20 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 188 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 14 February 2026 to 29 July 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.
At this point, even three claude max accounts are barely enough 😭 Btw, if you’re also juggling multiple accounts and want an easy way to load balance between them, I use claude-swap. Super convenient. Update: I don't run any automated things / goals, etc. all these tokens get used up through manual requests.
❤6
In the age of AI, I think it’s more important than ever to really, intuitively understand how powerful compounding is. There’s that quote often attributed to Einstein calling compound interest the eighth wonder of the world. We all sort of understand compounding intellectually, but I think most of us don't fully grasp how insane it becomes over time. I’ve always been obsessed with automation. For years, I’ve been w…
❤14
I now have three Anthropic Max subscriptions and one OpenAI subscription, totaling around $800/month. I basically have a super-senior team of at least 20 engineers, product people, designers, lawyers, and accountants. Everyone is highly motivated, never gets tired, has no internal drama, communicates at a ridiculous level, and is available 24/7. Each one of these 20 superstars gets a salary of $40 a month. Esora ha…
🔥12❤7🎉2👍2
Not everything is doable with llms just yet. Sometimes I still need to create an account, generate an api key, or configure something manually. I never waste time figuring out where to go or what to click. I just ask the llm to guide me step by step, with direct links to the relevant pages. It makes the whole thinig like 10x faster. Example: you need to connect a git repo to a vercel project, but you cannot do it th…
❤2
I can’t believe how consistently bad openai is at product. Absolute masters at confusing everyone with their products, naming, and offerings. My entire X feed today is just people trying to figure out what openai actually announced today lol. https://x.com/bobbyjocson/status/2075409489117708405
😁1
Fable as an orchestrator No fancy setup. I just added this to my global Agents .md, and now Fable delegates most of the work to Opus while keeping the parts that require higher-level intelligence, taste, product judgment, or synthesis. —- Important: Fable orchestrates, Opus executes Why: Fable is more expensive per token than Opus. The goal of this rule is to conserve Fable tokens by using them only where Fable’s…
🔥8❤6👍2👌1
Code Reviewer Skill Update It’s been four months since the last update I shared on my code reviewer skill. I promised a few people the updated version recently, so here it is. You can download it here. How it works You run / code-review on your uncommitted changes, optionally scoped to specific files or a feature. The orchestrator then: 1. Understands the intent of the diff, then reviews the overall approach itse…
❤8🔥3
📖 tldr: Gemini is still far ahead of every other frontier model at reading Armenian text from images.
🙏5❤3🔥1
loooooool AI made me laugh for the first time (unintentionally). I'm working on the translations of the names of venues/places for Esora. Here's a part from Opus 4.7 response. > "DV Wine Library" is the brand. "Wine Library" looks descriptive, but it's actually styled brand wording (like "Apple Store" — we don't write «Խնձորի խանութ»). Խնձորի խանութ ahgahahah
😁13
Opinion on Claude Opus 4.7 It dropped about 16 hours ago, and I’ve already spent around 6 hours coding with it. The overall sentiment online seems heavily negative, probably around 80%. Timing worked out really well for me. I was about to start a major refactor of the Esora scraping pipeline, so I handed the whole task over to it. For large-scope, long-running work like this, it actually feels noticeably stronger. …
❤6
I'm on the $200 Claude plan and I'm now over the limits, which resets in 15 minutes. I turned on the extra usage, and it's literally charging me like a dollar per minute... mindblowing. $200/month gives me hours and hours of usage a day, but extra usage charges me $60 an hour lol.
😢4👍1
The future is bright: code writes itself, I play the drums.
😁11❤5👏1🔥1😱1
Showing the 12 most recent of 20 posts we hold for @vahesthoughts_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.
Citation-graph rank — 112,371 of 1,629,497 entries 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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 23 August 2026 — this entry's latest reading, not the date you are reading this.
“Vahe's Thoughts (Tech)” (@vahesthoughts_tech), 209 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/vahesthoughts_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.