Channel
@neurohelperai
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
258subscribers
+1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002279695173 |
|---|---|
| Type | Channel |
| Username | @neurohelperai |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/neurohelperai |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 21:16 | 258 | +1 |
| 8 Aug 2026, 09:16 | 257 | no change |
| 7 Aug 2026, 12:30 | 257 | first reading |
18 posts held, back to 13 July 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 pageof 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. It is computed over the 1 of 11 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 18 (13 July 2026 – 7 August 2026) |
| Views total | 1,370 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 09:16 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 15 videos 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.
11 reactions across 5 posts, in 4 distinct kinds. The most used accounts for 63.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 7 | 63.6% | |
| 👍 | 2 | 18.2% | |
| 🔥 | 1 | 9.09% | |
| 🤯 | 1 | 9.09% |
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 5 of the 18 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 11reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 13 July 2026 to 7 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.
🌑 Total Solar Eclipse 2026 × AI video On August 12, 2026, a total solar eclipse will be visible from Iceland. So we imagined a different scenario. A tourist travels to Iceland to watch the eclipse and starts filming a normal smartphone vlog. Then the ocean suddenly begins retreating from the coast. Seconds later, a massive tsunami appears beneath the eclipsed Sun. The entire scene is fictional and AI-generated …
This looks like someone’s morning vlog. A normal morning, natural movement, consistent appearance and everyday camera angles. Except none of it was filmed. The entire video was generated with Seedance 2.5 in Neurohelper AI. AI video is getting to the point where even ordinary, realistic scenes can be difficult to distinguish from traditional filming. How long before you stop being able to tell?
🔥 Let’s compare two AI video models. We used the same prompt and the same reference image: 1️⃣ Seedance 2.5 2️⃣ MiniMax H3 The task is identical, but each model interprets movement, character consistency, camera dynamics and realism differently. Both videos were created in Neurohelper AI. Watch both and tell us which one you prefer. 1 or 2? Write your choice in the comments 👇 You’ll also find the exact prompt we …
You no longer need to organize a separate photoshoot for every product listing Even if you only have one simple product photo taken on a phone, AI can turn it into a complete set of marketplace visuals For this example, we created: — a clean hero image — feature-focused product cards — lifestyle scenes with pets — demonstrations on sofas, beds, carpets and car seats — a comparison with disposable lint rollers — step-…
A complete hip-hop track created with two AI models. GPT-5.6 Sol Pro developed the concept, structure, music prompt and lyrics. MiniMax Music 2.6 turned it into a finished composition with dynamic rap flow, a melodic chorus, layered vocals and dramatic transitions. The result is “NO CEILING.” Concept, prompt and lyrics: GPT-5.6 Sol Pro Music generation: MiniMax Music 2.6 Everything was created in one workflow wi…
What would it take to film this video in real life? Access to a panda, professional animal handlers, a specially prepared location, permits, insurance, a full production crew and post-production. Even if such a shoot were possible, the budget could easily reach tens of thousands of dollars. AI completely changes the production process. Instead of spending weeks organizing an expensive shoot, you can bring the same…
Hollywood-level action once required huge budgets, actors and full production crews. Now it can start with one idea, one reference and the right AI workflow. Created with GPT-5.6 Terra and Seedance 2.0 in Neurohelper AI. Prompt in the comments.
Which AI model gives the best virtual try-on? Same photo. Same outfit. Different AI models. Nano Banana Pro. Nano Banana 2. GPT Image 2. All in one place. Available in Neurohelper AI.
This beauty ad was created entirely with AI. GPT-5.6 Terra Pro → concept & prompts. GPT Image 2 → product visuals. Seedance 2.0 → UGC video. Available in Neurohelper AI.
UGC content doesn't need a production team anymore. GPT-5.6 Terra Pro created the script. GPT Image 2 generated the presenter. Seedance 2.0 produced the video. Available in Neurohelper AI.
Imagine launching a product campaign without booking a single shoot. This entire commercial was created with AI. Workflow: ✍️ GPT-5.6 Terra Pro — developed the creative concept and prompts. 🎬 Seedance 2.0 — transformed the vision into a cinematic commercial. From idea to final video. One AI workflow. Available in Neurohelper AI.
❤1
🔍 Perplexity Sonar Deep Research is now available in Neurohelper AI Some questions deserve more than a quick AI answer. They require searching dozens of sources, comparing information, identifying patterns and turning hours of research into a clear, structured report. That's exactly what Perplexity Sonar Deep Research is built for. It can help with: 📊 Market and competitor research 💼 Business strategy and industry…
❤4
Showing the 12 most recent of 18 posts we hold for @neurohelperai. 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 — 1,130,589 of 1,550,220entries 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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“Neurohelper.ai” (@neurohelperai), 258 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/neurohelperai.
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.