最新的ditpro_kpm和dits_ko对接例子
❤14

Channel
@ditdrivern
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
6,036subscribers
+309 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1003530225171 |
|---|---|
| Type | Channel |
| Username | @ditdrivern |
| Created | Between 1 December 2025 and 18 February 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/ditdrivern |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 22:18 | 6,036 | +76 |
| 27 Aug 2026, 12:48 | 5,960 | +89 |
| 24 Aug 2026, 15:23 | 5,871 | +14 |
| 20 Aug 2026, 19:24 | 5,857 | +9 |
| 17 Aug 2026, 19:16 | 5,848 | +23 |
| 14 Aug 2026, 07:06 | 5,825 | +17 |
| 11 Aug 2026, 07:31 | 5,808 | +77 |
| 7 Aug 2026, 22:07 | 5,731 | +4 |
| 7 Aug 2026, 17:31 | 5,727 | first reading |
20 posts held, back to 18 February 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 7 pages of 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 31 May 2026. An engagement rate over an empty window would be a number about nothing.
400 reactions across 20 posts, in 8 distinct kinds. The most used accounts for 64.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 259 | 64.8% | |
| 🥰 | 35 | 8.75% | |
| 👍 | 32 | 8.00% | |
| ❤🔥 | 27 | 6.75% | |
| ☃ | 22 | 5.50% | |
| 🤬 | 18 | 4.50% | |
| 🤓 | 5 | 1.25% | |
| 🤩 | 2 | 0.5% |
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 20 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 400 reactions 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 18 February 2026 to 31 May 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.
最新的ditpro_kpm和dits_ko对接例子
❤14
dits_ko1.2.2 ◾️6.12适配一加的53版本
❤16🤩2
ditpro_kpm更新117 ◾️扩展功能适配6.12 ◾️修复部分设备开热点可能会重启的问题
☃3❤3
dits_ko更新1.2.1 ◾️代码优化 ◾️尝试修复部分一加设备无缓存读取无效果问题 ◾️长期稳定版本,功能已经饱和了
❤17
ditpro_kpm更新116 ◾️代码优化 ◾️长期稳定版本,功能已经饱和了
👍10❤4
dits_ko更新1.2.0 ◾️增加真实触摸 ◾️修复无法执行的问题
❤11
ditpro_kpm更新115 ◾️性能优化 ◾️加回真实触摸
❤3
dits驱动1.1.0 ◾️ditpro_ko更名为dits ◾️去除一些没用的东西 ◾️增加无缓存读取 ◾️提升兼容性
❤14
ditpro_kpm更新113 ◾️功能性扩展,增加获取完整的内存段信息,须自己解析,扫内存或者内核扫指针开发会用到 ◾️须5.10以上(不包括5.10)
❤12
ditpro_kpm更新112 ◾️自动释放初始化资源,无需手动调用,段错误除外 ◾️因为需要所以增加获取模块头地址和尾地址 ◾️因为需要所以增加直接在内核遍历数组头,大幅度减少系统调用开销 ◾️读取链条默认过滤b4000
❤13❤🔥4
ditpro_kpm更新(111)版本 ◾️因为需要加回读取整个链条 ◾️因为需要增加读取内存段
❤🔥10❤5
ditpro_kpm更新(110)版本 ◾️增加ioctl通讯
🥰11❤8
Showing the 12 most recent of 20 posts we hold for @ditdrivern. 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 — 454,010 of 1,629,535 entries 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.
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.
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“dit驱动发布频道” (@ditdrivern), 6,036 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/ditdrivern.
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.