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Dev Meme / devmeme

Dev Meme / devmeme

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https://devme.me Channel exists because function is not a function No ads? Contact/send meme - @linegel

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πŸ“ˆ Analytical overview of Telegram channel Dev Meme / devmeme

Channel Dev Meme / devmeme (@dev_meme) in the English language segment is an active participant. Currently, the community unites 14 258 subscribers, ranking 8 788 in the Technologies & Applications category and 2 619 in the USA region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 14 258 subscribers.

According to the latest data from 25 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -46 over the last 30 days and by -3 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 41.28%. Within the first 24 hours after publication, content typically collects 22.98% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 5 885 views. Within the first day, a publication typically gains 3 276 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 107.
  • Thematic interests: Content is focused on key topics such as context, engineering, boris, agi, chatbot.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œhttps://devme.me Channel exists because function is not a function No ads? Contact/send meme - @linegel”

Thanks to the high frequency of updates (latest data received on 26 August, 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.

14 258
Subscribers
-324 hours
+57 days
-4630 days
Posts Archive
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#news See quoted post We had kimi k3 that was GREAT but it was too expensive to use (mainly due to not having subsidized subs
#news See quoted post We had kimi k3 that was GREAT but it was too expensive to use (mainly due to not having subsidized subscription like OpenAI or Anthropic) Now we got glm-5.3-flash / OX-Alpha And we just second Chinese / Open weight model that @dev_meme recommends Its not "somewhat" useful multi-agent performance for good price as Deepseek flash was It is _actually_ useful model without need to be independently orchestrated by a model for trillion+ parameters tier I guess ceiling is officially broken. The real fight start now and we still have 4 more month till the end of the year + we are yet to see actual "next generation" of models from OpenAI, not RLed to the death 5.6-sol

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Repost from Derp Learning
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