TGMetrics2025-11-18打开
Neurahub Entry Portal pinned a photo
– 浏览量
TGMetrics › 加密货币Telegram Channels › Neurahub Entry Portal
成员
800
– 7天 · – 30天
每篇文章的平均浏览量
收集
首次阅读帖子后
每日发帖数
0.0
来自最近的帖子
可疑克隆
0
未发现模仿账户
基础资料。 Member counts for @theneurahub are recorded daily from Telegram's public page. Post activity, views, a trust score, and lookalike checks are added once the collector completes its first full read, usually within days.
最近发帖
带有收集指标的公开发帖2025-11-18打开
🚦 Welcome to Neurahub!
We’re excited to announce artifex, a major evolution of our current chat platform — a faster, more intelligent, more capable environment for working with AI.
chat.neurahub.app was the beginning.
artifex is the upgrade.
Now open for waitlist registration…
584 浏览量
信任信号
尚未评分。
关键事实
| 句柄 | @theneurahub |
| 类型 | Telegram channel |
| 成员 | 800 |
| 官方的 | Neurahub (NEURA) |
| 每日发帖数 | 0.0 |
| 信任分数 | pending |
| 相似句柄 | 0 |
| 跟踪自 | 2026-09-06 |
类似社区
规模接近
Neurahub Entry Portal is a crypto Telegram channel with 800 members, ranked 3888 of 7,365 indexed communities by size and 1393 among channels. It posts about 0.0 times a day. It is the community listed on CoinGecko for Neurahub (NEURA), market cap rank 3787.
Source: Telegram's public data for @theneurahub, collected by TGMetrics. Figures as of 2026-09-06. See the 方法论.
常见问题
Is @theneurahub 官方 Neurahub Telegram?
Yes. It is the Telegram community listed for Neurahub (NEURA) on CoinGecko, market cap rank 3787.
我如何验证官方链接？
打开项目自己的网站 或其 CoinGecko 列表 and follow the Telegram link from there. Official handles never ask for seed phrases or wallet connections in chat.
信任分数如何计算？
Every community starts at 60 and each signal moves it by a stated weight, measured against communities of similar size in this index. Channels are scored on views per subscriber, how much views vary across posts, whether views keep growing after posting, forwards and reactions per view, growth smoothness, who forwards it, and age. Thin data caps the score and lowers confidence; nothing scores 100.
多久更新一次？
成员数至少每天快照一次，活跃频道则每小时快照一次。发布指标在发布后1小时、24小时和7天时重新读取。