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Telegram profile photo for Eva Fox🦊| Ai Prompts | Нейрофото | Промпты

Channel

Eva Fox🦊| Ai Prompts | Нейрофото | Промпты

@EvaGingerFox

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

1,394subscribers

+68 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003617504563
TypeChannel
Username@EvaGingerFox
CreatedBetween 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/EvaGingerFox

Growth

1,3261,3941,3607 August 2026 — 1,326 subscribers7 August 2026 — 1,326 subscribers8 August 2026 — 1,328 subscribers10 August 2026 — 1,359 subscribers13 August 2026 — 1,368 subscribers17 August 2026 — 1,394 subscribers7 August 202617 August 2026
6 measurements spanning 10 days, net +68. 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 1,316–1,404 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 10:571,394+26
13 Aug 2026, 15:281,368+9
10 Aug 2026, 20:371,359+31
8 Aug 2026, 04:591,328+2
7 Aug 2026, 22:311,326no change
7 Aug 2026, 18:281,326first reading

Engagement

12 posts held, back to 1 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
11.8%
avg views ÷ 1,394 subscribers
Avg views / post
164
12 posts measured
Reaction rate
15.6%
reactions ÷ views · ER floor
Posts in window
12
of 12 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 August 2026
Posts held12 (1 August 20266 August 2026)
Views total1,969
Reactions total307
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 22:31 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.

What this channel posts

Video runtime
20s
Average length
20s

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.

Reaction mix

307 reactions across 12 posts, in 3 distinct kinds. The most used accounts for 38.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 536420143585874486911838.4%
custom 52156827896129880029831.9%
custom 58525541080655503529129.6%

Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 12 of the 12 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 307reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 1 August 2026 to 6 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 12 we hold a reading for · 8%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @EvaGingerFox. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 12 most recent posts we hold for this entry, published 1 August 2026 to 6 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

6 Aug 2026, 11:47 UTC98 views19 reactionsread 7 August 2026
Photo

{ "meta": { "quality": "ultra photorealistic", "resolution": "8k", "camera": "iPhone 15 Pro", "lens": "24mm wide", "aspect_ratio": "4:3", "style": "raw iphone mirror selfie, wet hair, steamy bathroom atmosphere, subtle sensor noise, natural skin texture" }, "scene": { "location": "modern minimalist bathroom", "time": "late night", "atmosphere": "steamy, intimate post-shower

custom 58525541080655503528custom 53642014358587448697custom 52156827896129880024

6 Aug 2026, 11:32 UTC97 views17 reactionsread 7 August 2026
Photo

STRICTLY preserve appearance 1:1 — face, features, proportions, skin tone, eye color, hair color and length. Format 9:16. Black and white studio beauty diptych of two portraits, one above the other. Light is hard and directional, round spotlight on the wall behind, deep shadows, high contrast film noir. Top frame: close-up portrait to the chest, girl sits in front of the wall, torso slightly turned to the right, shou

custom 53642014358587448697custom 52156827896129880026custom 58525541080655503524

2 Aug 2026, 22:24 UTC220 views19 reactionsread 7 August 2026
Photo

Копилка 💸 Нравится то, что делаю? Поддержите канал! Это поможет в создании качественного контента.

custom 52156827896129880028custom 58525541080655503528custom 53642014358587448693

2 Aug 2026, 21:23 UTC200 views32 reactions1 Starread 7 August 2026
Photo

Use the uploaded photo as an exact face reference and lock the woman's appearance 1:1 without changes: same facial features, bone structure, eyes, lips, nose, jawline, hairline, facial proportions, and natural skin texture, do not change the identity. The woman's skin is realistic, showing no AI effects, looking natural with an even healthy tone. Makeup: focus on the eyes, sharp "fox-eye" winged eyeliner on the upp

custom 536420143585874486915custom 521568278961298800210custom 58525541080655503527

2 Aug 2026, 20:21 UTC173 views24 reactionsread 7 August 2026
Photo

Use the uploaded photo as an exact facial reference and lock the woman's appearance 1:1 without changes: same facial features, bone structure, eyes, lips, nose, jawline, hairline, facial proportions, and natural skin texture; do not change the identity. The woman's skin is realistic, showing no AI artifacts, looking natural with an even, healthy tone. Makeup: focus on the eyes, sharp "fox-eye" winged eyeliner on th

custom 52156827896129880029custom 58525541080655503528custom 53642014358587448697

2 Aug 2026, 18:25 UTC160 views28 reactionsread 7 August 2026
Photo

Use the uploaded photo as an exact face reference and fix the woman's appearance 1:1 without changes: same facial features, bone structure, eyes, lips, nose, jawline, hairline, facial proportions, and natural skin texture, do not change identity. The woman's skin is realistic, does not show AI effects, looks natural, with an even healthy tone. Makeup: focus on eyes, sharp "fox" eyeliner on the upper eyelid, elongat

custom 521568278961298800211custom 536420143585874486910custom 58525541080655503527

2 Aug 2026, 16:11 UTC158 views27 reactionsread 7 August 2026
Photo

Use the uploaded photo as an exact facial reference and lock the woman's appearance 1:1 without changes: same facial features, bone structure, eyes, lips, nose, jawline, hairline, facial proportions, and natural skin texture; do not change the identity. The woman's skin is realistic, showing no AI artifacts, looking natural with an even, healthy tone. Makeup: focus on the eyes, with sharp "fox-eye" winged eyeliner

custom 521568278961298800210custom 536420143585874486910custom 58525541080655503527

2 Aug 2026, 12:53 UTC162 views29 reactionsread 7 August 2026
Photo

Use the uploaded photo as an exact facial reference and fix the woman's appearance 1:1 without changes: same facial features, bone structure, eyes, lips, nose, jawline, hairline, facial proportions, and natural skin texture; do not change the identity. The woman's skin is realistic, shows no AI effects, looks natural with an even healthy tone. Makeup: emphasis on the eyes, clear "fox" winged eyeliner on the upper e

custom 536420143585874486911custom 585255410806555035211custom 52156827896129880027

2 Aug 2026, 09:13 UTC180 views35 reactionsread 7 August 2026
Photo

Use the uploaded photo as an exact face reference and fix the woman's appearance 1:1 without changes: same facial features, bone structure, eyes, lips, nose, jawline, hairline, facial proportions, and natural skin texture, do not change identity. The woman's skin is realistic, shows no AI effects, looks natural, with an even healthy tone. Makeup: emphasis on eyes, sharp "fox" eyeliner on the upper lid, elongated to

custom 536420143585874486914custom 521568278961298800212custom 58525541080655503529

1 Aug 2026, 21:27 UTC174 views30 reactionsread 7 August 2026
Photo

Use the uploaded photo as an exact face reference and lock the woman's appearance 1:1 without changes: same facial features, bone structure, eyes, lips, nose, jawline, hairline, facial proportions and natural skin texture, do not change the identity. The woman's skin is realistic, shows no AI effects, looks natural, with an even healthy tone. Makeup: focus on eyes, sharp "fox-eye" winged eyeliner on the upper lid e

custom 536420143585874486912custom 585255410806555035211custom 52156827896129880027

1 Aug 2026, 19:51 UTC175 views23 reactionsread 7 August 2026
Video

💛💛💛💛 🟡♾ Повторить можно в боте . 🔜Есть бесплатная 😍 пробная генерация. 🙂 💰Поддержать 🤑канал можно 👉тут

custom 536420143585874486910custom 52156827896129880027custom 58525541080655503526

1 Aug 2026, 19:02 UTC172 views24 reactionsread 7 August 2026
Photo

Use the uploaded photo as an exact face reference and lock the woman's appearance 1:1 without changes: same facial features, bone structure, eyes, lips, nose, jawline, hairline, facial proportions, and natural skin texture, do not change the identity. The woman's skin is realistic, showing no AI effects, looking natural with an even healthy tone. Makeup: focus on the eyes, sharp "fox-eye" winged eyeliner on the upp

custom 536420143585874486912custom 52156827896129880027custom 58525541080655503525

Showing the 12 most recent of 12 posts we hold for @EvaGingerFox. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 770,149 of 1,480,975entries 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.

Mentions

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.

Names

Channels on the register whose handles appear in this channel's posts.

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.

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

“Eva Fox🦊| Ai Prompts | Нейрофото | Промпты” (@EvaGingerFox), 1,394 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/EvaGingerFox.

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.