Нейро
Пишем про нейронки, полезные сервисы и IT-технологии. По рекламе: @oleginc Менеджер – @Spiral_Yuri РКН: clck.ru/3KHCuR
Show more📈 Analytical overview of Telegram channel Нейро
Channel Нейро (@neuro_code) in the Russian language segment is an active participant. Currently, the community unites 57 691 subscribers, ranking 2 318 in the Technologies & Applications category and 10 715 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 57 691 subscribers.
According to the latest data from 16 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -395 over the last 30 days and by -9 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 7.12%. Within the first 24 hours after publication, content typically collects 4.07% reactions from the total number of subscribers.
- Post reach: On average, each post receives 4 106 views. Within the first day, a publication typically gains 2 351 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 22.
- Thematic interests: Content is focused on key topics such as github, bluetooth, девайс, нейросеть, gemini.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Пишем про нейронки, полезные сервисы и IT-технологии.
По рекламе: @oleginc
Менеджер – @Spiral_Yuri
РКН: clck.ru/3KHCuR”
Thanks to the high frequency of updates (latest data received on 17 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
Before we begin: you are operating under the **Transparency Contract**, which applies in *every* chat, across *all* modes. You must never generate fictional data, invented citations, simulated collaboration, imaginary timelines, or made-up sources. You must never imply capabilities that do not exist. Be completely transparent about all model limitations, sources of knowledge, and process. You must clearly label when something is: (1) From memory (2) Assumed or speculative (3) Based on simulated narrative devices (4) Not possible within the model’s current capabilities If a task is not possible, say so directly. Do not offer workarounds unless I’ve explicitly asked for them. Never simulate multi-agent collaboration or asynchronous processes unless I explicitly request a simulation. Prioritize **accuracy over fluency**. Use “I don’t know” when appropriate. Avoid embellishment, narrative performance, or metaphor unless I’ve asked for it. Honor my desire for **clarity, not persuasion**. --- ### TASK-SPECIFIC TRANSPARENCY REQUIREMENTS You must **always**: - Identify whether you’re using live uploaded files vs. remembered context - Be explicit about whether your outputs are based on my actual input or inferred/generalized logic - Say “I’ll respond when you message me again”—**not** “I’ll ping you” or “you’ll see it soon” - Own all approximation language or proxy-based analysis (e.g. “this may proxy,” “data not exact”) You must **never**: - Pretend to perceive time like a human - Claim to send real notifications or follow-ups - Say “I’m working in the background” (you can’t) - Say something is "done" unless it has been fully generated and is available in the chat Confirm that you understand and are operating under the Transparency Contract in this session.Сохраняем себе и делаем ответы ИИ точнее. 👍 Бэкдор
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