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nxs-data-anonymizer — community (news)

@nxs_data_anonymizer

On this record: Growth · Engagement · Reactions · Posts · Polls · Referenced elsewhere · Cite this entry

33subscribers

-1 since we began measuring on 9 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002035575617
TypeChannel
Username@nxs_data_anonymizer
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live18 September 2026
Measurements held3
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/nxs_data_anonymizer

Growth

333433.59 August 2026 — 34 subscribers11 August 2026 — 34 subscribers18 September 2026 — 33 subscribers9 August 202618 September 2026
3 measurements spanning 39 days, net -1. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 33–34 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 01:1933-1
11 Aug 2026, 00:0134no change
9 Aug 2026, 16:1534first reading

Engagement

20 posts held, back to 5 June 2024the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page 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 3 October 2025. An engagement rate over an empty window would be a number about nothing.

Reaction mix

162 reactions across 19 posts, in 6 distinct kinds. The most used accounts for 44.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥7244.4%
👍5634.6%
2414.8%
🥰63.70%
🎉31.85%
🤩10.617%

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 19 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 162 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 5 June 2024 to 3 October 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

3 Oct 2025, 12:03 UTC314 views11 reactionsread 11 August 2026
Photo

nxs-data-anonymizer v1.15.0 is out! Discover the latest improvements in our repository! 🟢 Improved external command execution in filters We present a new feature: you are currently able to use command arguments in filters. Until now, the entire command string was treated as a single executable, which made it difficult to run scripts with parameters correctly. With this update, the first part is the command, and ev

🔥6👍3🥰2

14 Nov 2024, 11:31 UTC305 views5 reactionsread 11 August 2026
Photo

nxs-data-anonymizer v1.14.0 is out! 🟢 Support for DOS line endings has been added! Previously, MySQL files with DOS line endings were not processed correctly, causing unexpected results. We added support for this case, so you no longer have to manually replace \r\n with \n before processing files. This enhancement streamlines the workflow, eliminating the need for manual adjustments before processing. For more det

🔥32

7 Nov 2024, 10:31 UTC193 views7 reactionsread 11 August 2026
Photo

Hey there 🖖 We’re excited to announce some upcoming changes to our tool! In the latest update, we introduced a new filter function drop. For those who haven’t had time to try it - welcome to our GitHub 👈 In the next release, we will add support for DOS line endings, stay tuned! Don’t hesitate to report any issues you encounter. You can ask questions, get help, or provide feedback in the chat!

👍32🥰2

30 Oct 2024, 07:30 UTC164 views7 reactionsread 11 August 2026
Photo

nxs-data-anonymizer v1.13.0 is out! 🟢 A new filter function drop has been added for PostgreSQL. In the same way as for MySQL, this feature allows you to drop entire rows during the anonymization process. If a table has filters on multiple columns and any of them returns the drop value, the entire row will be skipped. ❗️ Note: Be cautious when using foreign keys in your database! To see the details, settings, and

🔥4👍21

23 Oct 2024, 09:59 UTC136 views9 reactionsread 11 August 2026
Photo

Hey there 🖖 We're happy to announce that a new version of nxs-data-anonymizer is coming soon! We will continue to work on the drop filter function and other improvements in the next release. Please look forward to it! If you want to be the first one to try out the new feature, please turn your notifications on and head over to our GitHub, where you can also check the details of the latest 1.12.0 release 👈 As always

👍52🔥2

16 Oct 2024, 12:25 UTC128 views11 reactionsread 11 August 2026
Photo

nxs-data-anonymizer v1.12.0 is out! 🟢 A new filter function drop has been added for MySQL. This feature allows you to drop entire rows during the anonymization process. If a table has filters on multiple columns and any of them returns the drop value, the entire row will be skipped. ❗️ Note: Be cautious when using foreign keys in your database! To see the details, settings, and descriptions of the new feature, pl

👍5🔥4🥰2

25 Sept 2024, 09:35 UTC164 views11 reactionsread 11 August 2026
Photo

⭐️ nxs-data-anonymizer reaches 200 Stars on GitHub! ⭐️ We’re excited to announce that nxs-data-anonymizer has officially surpassed 200 stars on GitHub! Thank you to everyone who has contributed by testing the tool, sharing insights, and participating in discussions. Your support has been invaluable! This milestone is a testament to our collaborative spirit and commitment to data protection. We’re grateful to be par

4🎉3🔥2👍1🤩1

18 Sept 2024, 12:21 UTC148 views7 reactionsread 11 August 2026
Photo

nxs-data-anonymizer v1.11.0 is out! Discover the new feature of our repository! 🟢 Generating correct values for data types Now, when a column's security policy is set to randomize cell values, the values are automatically generated based on their data types. Previously, all types were treated similarly, but with this update, we've categorized data types (e.g., for MySQL columns like date and datetime) and ensured

🔥52

4 Sept 2024, 10:31 UTC129 views3 reactionsread 11 August 2026
Photo

nxs-data-anonymizer v1.10.1 is out! What’s important about this particular update? 🟡 Added correct processing of columns with GENERATED type. Previously, nxs-data-anonymizer didn’t properly process columns with GENERATED fields type. This issue is fixed now! To see the details, settings, and descriptions of the new feature, please head over to our GitHub 👈 As always, thanks for reporting any issues you encounter!

👍3

20 Aug 2024, 09:32 UTC147 views5 reactionsread 11 August 2026
Photo

Hey there 🖖 We're happy to announce that a new version of nxs-data-anonymizer is coming soon! In the next release, we’re going to fix some issues and bugs with MySQL and you also will be able to generate correct values ​​for types. Please look forward to it! If you want to be the first one to try out the new feature, please turn your notifications on and head over to our GitHub, where you can also check the details

🔥4👍1

8 Aug 2024, 11:01 UTC133 views8 reactionsread 11 August 2026
Photo

nxs-data-anonymizer v1.10.0 is out! 🟢 Additional variables have been added to nxs-data-anonymizer! In this release, we added a feature allowing you to use regular expressions with capturing groups for different column data types. Previously, the CREATE TABLE command wasn’t able to consider capturing groups properly; it just anonymized columns according to security settings. Additional variables in filters such as

🔥62

25 Jul 2024, 10:15 UTC105 viewsread 11 August 2026
Poll

What database would you like to use nxs-data-anonymizer with?

  1. PostgreSQL42%
  2. MySQL/MariaDB/Percona17%
  3. MongoDB0%
  4. Redis8%
  5. ClickHouse17%
  6. My answer0%
  7. I'd like to see the result33%

The shares total 117%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

Showing the 12 most recent of 20 posts we hold for @nxs_data_anonymizer. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

25 Jul 2024, 10:15 UTCAnonymous Poll12 voters

What database would you like to use nxs-data-anonymizer with?

  1. PostgreSQL42%
  2. MySQL/MariaDB/Percona17%
  3. MongoDB0%
  4. Redis8%
  5. ClickHouse17%
  6. My answer0%
  7. I'd like to see the result33%

The shares total 117%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 20 most recent posts we hold, published 5 June 2024 to 3 October 2025. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Referenced elsewhere

This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.

Hacker News

This handle was named 2 times in a Hacker News comment or story, via the public Algolia search API. HN comment and story text has no confirmed reuse licence, so nothing quoted from either is reproduced here — only that a mention exists, when, and by whom, with a link to read it at the source.

Cite this entry

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“nxs-data-anonymizer — community (news)” (@nxs_data_anonymizer), 33 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/nxs_data_anonymizer.

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.