Channel
@portfolio_link
On this record: Growth · Engagement · Posts · Citations · Cite this entry
2subscribers
+1 since we began measuring on 7 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1004313730964 |
|---|---|
| Type | Channel |
| Username | @portfolio_link |
| Created | 7 September 2026 — measured — dated from the channel’s first post |
| First recorded | 18 September 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/portfolio_link |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 04:57 | 2 | +1 |
| 18 Sept 2026, 05:22 | 1 | no change |
| 7 Sept 2026, 19:47 | 1 | first reading |
11 posts held, back to 7 September 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.
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 15 September 2026 |
|---|---|
| Posts held | 11 (7 September 2026 – 15 September 2026) |
| Views total | 20 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 18 Sept 2026, 05:22 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.
3-Prompt: Medium Shot + High Angle (Bird's-Eye) Kombinatsiya: O'rta plan + yuqoridan pastga qaratilgan rakurs Medium shot of a vintage red sports car from directly above, high-angle bird's-eye view showing the car's silhouette on a city street, overcast diffused daylight creating even, soft shadows, digital art style with clean geometric composition, muted gray asphalt with a striking red car as focal point, minimali…
2-Prompt: Close-up + Eye-Level Kombinatsiya: Yaqin plan (detal) + tabiiy, neytral rakurs Close-up shot of a vintage red sports car's front grille and headlight, eye-level camera angle for a natural, intimate perspective, soft studio lighting highlighting chrome details and reflections, photorealistic style with high detail texture, cool silver and deep red color accents, sleek and refined mood, shot on 85mm lens with…
1-Prompt: Wide Shot + Low Angle Kombinatsiya: Keng kadr + pastdan yuqoriga qaratilgan rakurs (kuch va ulug'vorlik hissi uchun) A vintage red sports car parked on an empty desert highway at sunset, wide shot capturing the full vehicle and surrounding landscape, low-angle view emphasizing the car's powerful stance, dramatic golden-hour lighting with long shadows, photorealistic style, warm orange and deep red color pal…
Rasm Generatsiyasi Uchun Prompt Yozish: Asosiy Elementlar Kirish Text-to-image modellari (Midjourney, DALL-E, Stable Diffusion, Flux va boshqalar) uchun sifatli prompt yozish — bu aniq va tuzilgan tavsif orqali modelga vizual natijani "tushuntirish" san'atidir. Quyida professional promptlarning asosiy tarkibiy qismlari batafsil yoritilgan. 1. Subyekt (Subject) Rasmning markaziy obyekti aniq va konkret tasvirlanishi k…
Prompt turlari va ularning ta'riflari
LLM'lar inson tilini qanday tushunadi: tokenlar va tokenizatsiya jarayoni Til modellari matnni inson kabi harf-harf yoki so'z sifatida emas, balki sonli qiymatlar (vektorlar) ko'rinishida qabul qiladi, chunki neyron tarmoqlar faqat matematik operatsiyalar bilan ishlaydi. Matnni bu sonli formatga aylantirish jarayoni tokenizatsiya deb ataladi va u LLM'larning tilni "tushunishi"ning birinchi va eng muhim bosqichidir. …
2. LLM nima va u qanday maqsadlarda ishlatiladi? LLM (Large Language Model) nima? Large Language Model (LLM) — katta hajmdagi matnli ma'lumotlar asosida o'qitilgan, tabiiy tilni tushunish va generatsiya qilish qobiliyatiga ega bo'lgan chuqur o'rganish (deep learning) modelidir. LLM'lar Transformer arxitekturasiga asoslanadi va milliardlab, hatto trillionlab parametrlardan tashkil topgan bo'lishi mumkin. 1. LLM qa…
Xulosa Ko'rinib turibdiki, sun'iy intellekt endi tor doiradagi ilmiy-tadqiqot mavzusi emas, balki tibbiyot, moliya, ta'lim, transport, sanoat, qishloq xo'jaligi va xavfsizlik kabi deyarli barcha iqtisodiy va ijtimoiy sohalarga integratsiyalashgan universal texnologiyaga aylandi. Bu sohalarning har birida AI samaradorlikni oshirish, xatolarni kamaytirish va qarorlar qabul qilish jarayonini tezlashtirish uchun qo'llan…
VAE (Variational Autoencoder) — yangi ma'lumot namunalarini generatsiya qilish Sora, Runway — text-to-video generatsiya Sizning prompt engineering yo'nalishingizga bevosita aloqador bo'lgan barcha modellar (text-to-image, image-to-video va h.k.) — aynan generativ modellardir. Muhim nuqta: chegara har doim ham qat'iy emas Ba'zi zamonaviy modellar ikkala xususiyatni ham birlashtiradi. Masalan, Diffusion Model asosidagi…
1. Sun’iy intellekt haqida Sun’iy intellekt (AI) nima? Sun'iy intellekt (AI - Artificial Intelligence) — bu kompyuter tizimlarining odamlarga xos bo'lgan aqliy vazifalarni bajarish qobiliyatidir: o'rganish, mantiqiy fikrlash, muammolarni hal qilish, tilni tushunish, va qarorlar qabul qilish. Asosiy g'oya An'anaviy dasturlashda inson barcha qoidalarni qo'lda yozadi ("agar X bo'lsa, Y qil"). AI da esa, ayniqsa machine…
Channel created
Showing the 11 most recent of 11 posts we hold for @portfolio_link. 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.
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“Portfolio” (@portfolio_link), 2 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/portfolio_link.
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.