Channel
@BlitzTrainer
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
653subscribers
-1 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003660031963 |
|---|---|
| Type | Channel |
| Username | @BlitzTrainer |
| Created | Between 1 December 2025 and 1 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 9 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 9 August 2026 |
| On Telegram | t.me/BlitzTrainer |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 05:51 | 653 | -1 |
| 8 Aug 2026, 14:16 | 654 | first reading |
20 posts held, back to 1 May 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 23 June 2026. An engagement rate over an empty window would be a number about nothing.
33 reactions across 10 posts, in 3 distinct kinds. The most used accounts for 48.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 16 | 48.5% | |
| 🤮 | 14 | 42.4% | |
| 🤡 | 3 | 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 10 of the 20 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 33reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 1 May 2026 to 23 June 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.
EncryptBlitz 加密引擎 · 公测进度同步 当前定位： EncryptBlitz 正在建设面向 ARM64 Native 场景的高强度加密与函数级保护基础设施，覆盖 ELF / SO / SO-JNI 等目标形态。核心加密链路、Web/API/CLI 工作流和样本验证体系已完成多轮压测，目前进入兼容性攻坚阶段。 当前重点： 函数级虚拟化 VMP、VMP 强化、手选函数、运行时验证等能力正在持续优化。不同项目的编译器、函数结构、符号信息、入口形态差异很大，个别样本出现无法虚拟化、降级、任务异常或运行不一致，都属于我们当前重点收敛的问题。 遇到任何异常，请直接在群内反馈或私信管理。每一个真实 case 都会进入兼容性修复队列，是我们提升正式版质量的关键输入。 关于收费节奏： 安全产品零容忍。当前加密能力已经进入可公开测试阶段，但在兼容性体验和交付稳定性达到正式商业化标准前，我们会继续免费开放试用。我们宁愿晚一步收费…
Blitz pinned «EncryptBlitz 现已面向全网开放体验 访问地址： https://jm.byxly.vip/ EncryptBlitz 是面向 Native ARM64 目标的在线加固平台，支持 ELF、SO、SO-JNI 上传分析与保护配置。平台提供函数级选择、函数加密、函数混淆、函数 VMP、VMP 强化、Custom 自定义策略、任务进度、中文报告与加固产物下载，适合 SDK、游戏逻辑、授权校验、核心算法、风控模块等 Native 资产的上线前加固与交付测试。 本次开放限时免费体验卡密，额度无限点。卡密无…»
EncryptBlitz 现已面向全网开放体验 访问地址： https://jm.byxly.vip/ EncryptBlitz 是面向 Native ARM64 目标的在线加固平台，支持 ELF、SO、SO-JNI 上传分析与保护配置。平台提供函数级选择、函数加密、函数混淆、函数 VMP、VMP 强化、Custom 自定义策略、任务进度、中文报告与加固产物下载，适合 SDK、游戏逻辑、授权校验、核心算法、风控模块等 Native 资产的上线前加固与交付测试。 本次开放限时免费体验卡密，额度无限点。卡密无 IP 绑定，可自由登录使用；额度到期后仍可参与后续福利活动，更多免费额度、测试名额和优惠权益会陆续开放。 相比传统加固厂商，EncryptBlitz 更偏向“可控、透明、函数级”的 Native 保护体验： - 不只整包黑盒处理，支持函数级精确选择 - 不强制推荐策略，保护层由用户自行配置 - 不只给产物，也提供可读报…
❤2
想要免费提前体验满血版EncryptBlitz（免费防御全开，有函数级VMP等超强加密）加密 可联系企鹅:2987303932 目前支持:APK 安装包,AAB 应用包,APKS 分包集,ELF 可执行文件,SO / 普通共享库,SO-JNI / JNI 动态库,Shell 脚本,Script 脚本,EXE / Android ARM64 可执行文件
❤2
开源一下三角洲的过内存检测的一个思路 里面自带4个功能，露娜，无后，据点，范围 不100%保证稳定性 思路:“sub_4DEC14 负责维护一个全局 Patch 跳过池 qword_568F90`。该池采用 32 槽位的环形缓冲结构，每条记录占 24 字节，数据结构为 {uint64_t 绝对地址, uint32_t 长度, uint32_t 保留位(0), uint64_t 堆副本指针}`。 扫描链入口 `sub_4E0834` 首先调用 sub_4DED68 遍历此池，执行纯区间交集判定（`rec.start < scan_end && rec.start + rec.size > scan_start`）。若命中，则将匹配记录逐条拷贝至临时输出向量，输出指针每命中一条即推进 0x18 字节。需注意，`sub_4DED68` 固定返回 0，实际的命中信号完全通过输出指针的偏移量来传递。 控制流回到 sub_4E0834 后，…
❤3
已经接近尾声了，我们敢肯定，在发布后肯定是ARM64加密强度最高的加密(我们的开发团队接近10人的情况下，开发周期目前已经到达了42天了，我也想不到这么久)
❤1🤡1
新版本拥有函数级混淆，函数级VMP，函数级加密，VMP强化
我们也不想这么久不发表，谁知到可能是我们对项目的要求太大了，开发周期远超预期了，还需要再过一段时间
❤1
实在抱歉啊，加密还在赶工
❤1
预计3天内完成发布，native有函数级vmp，目前apk和shell的防护也很强 新版本火力全开强度约是 elf≈jni/so﹥apk>shell
❤2
修复无效果问题
需要再等一段时间 由于加密不会参水，所以目前还没完全 搞好
Showing the 12 most recent of 20 posts we hold for @BlitzTrainer. 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 — 18,560 of 1,480,688entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Named by 2 registered channels — 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 9 August 2026 — this entry's latest reading, not the date you are reading this.
“Blitz” (@BlitzTrainer), 653 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/BlitzTrainer.
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.