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Computer Science and Programming

Computer Science and Programming

前往频道在 Telegram

Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_science

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📈 Telegram 频道 Computer Science and Programming 的分析概览

频道 Computer Science and Programming (@computer_science_and_programming) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 140 509 名订阅者,在 技术与应用 类别中位列第 802,并在 意大利 地区排名第 88

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 140 509 名订阅者。

根据 30 八月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 -752,过去 24 小时变化为 -56,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 7.74%。内容发布后 24 小时内通常能获得 1.89% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 10 875 次浏览,首日通常累积 2 656 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 14
  • 主题关注点: 内容集中在 sellerflash, github, developer, pricing, waybienad 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_sc...

凭借高频更新(最新数据采集于 31 八月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。

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140 509
订阅者
-5624 小时
-2987
-75230
帖子存档
bytedance/MegaTTS3 TLDR MegaTTS3 by Bytedance is a lightweight and efficient text-to-speech (TTS) model with only 0.45B param
bytedance/MegaTTS3
TLDR MegaTTS3 by Bytedance is a lightweight and efficient text-to-speech (TTS) model with only 0.45B parameters. It supports high-quality voice cloning, bilingual (Chinese and English) speech synthesis, and accent intensity control. Users can download pre-trained models, use command-line tools for inference, and access a web UI. The project aims for academic use, with stringent security measures and is licensed under Apache-2.0.
💻 https://github.com/bytedance/MegaTTS3

Repost from N/a
⚠ Message was hidden by channel owner

⚠ Message was hidden by channel owner

Why Everyone* Should Learn About Cloud Computing and AI TLDR The post highlights the growing importance of cloud computing an
Why Everyone* Should Learn About Cloud Computing and AI
TLDR The post highlights the growing importance of cloud computing and AI across various industries such as film, marketing, healthcare, education, and agriculture. It emphasizes that understanding these technologies is becoming essential for making informed decisions, collaborating with technical teams, and staying competitive. The post encourages everyone to start learning about cloud and AI tools, even if they are not coders, to thrive in the modern, technology-driven world.
🔗 https://dev.to/aws-builders/why-everyone-should-learn-about-cloud-computing-and-ai-37ch

⚠ Message was hidden by channel owner
⚠ Message was hidden by channel owner

⚠ Message was hidden by channel owner

GitHubTree - Visualize repo structures in tree view GitHubTree is a tool that allows users to easily visualize and explore th
GitHubTree - Visualize repo structures in tree view
GitHubTree is a tool that allows users to easily visualize and explore the folder/directory structure of any public GitHub repository. It also enables users to copy file paths with a single click.
🔗 https://www.producthunt.com/posts/githubtree

Does AI really make you more productive? TLDR The post discusses the impact of AI on software development productivity, based
Does AI really make you more productive?
TLDR The post discusses the impact of AI on software development productivity, based on findings from the 2024 Accelerate State of DevOps Report. While AI tools are widely used for various coding tasks, there are concerns about their negative effects on software delivery metrics like throughput and stability. Large AI-generated code batches can slow down reviews and increase the risk of bugs, potentially making developers less productive despite the perceived speed gains from AI.
🔗 https://toddle.dev/blog/does-ai-really-make-you-more-productive

Repost from programming memes
We love PHP here! @memes_programming
We love PHP here! @memes_programming

fleet Open-source platform for IT and security teams with thousands of computers. Designed for APIs, GitOps, webhooks, YAML,
fleet
Open-source platform for IT and security teams with thousands of computers. Designed for APIs, GitOps, webhooks, YAML, and humans.
💻 https://github.com/fleetdm/fleet

mcpt - Managed registry for MCP servers TLDR mcpt by Mintlify is a managed registry for Model Context Protocol (MCP) servers.
mcpt - Managed registry for MCP servers
TLDR mcpt by Mintlify is a managed registry for Model Context Protocol (MCP) servers. These servers enable AI tools to interact with external data sources, ensuring reliable and up-to-date access. mcpt simplifies the exploration and utilization of the fragmented MCP ecosystem by providing a curated list of official servers.
🔗 https://www.producthunt.com/posts/mcpt

Geocities.live - Turn any website into 90s dot-com era Geocities.live is a tool that lets users transform any modern webpage
Geocities.live - Turn any website into 90s dot-com era
Geocities.live is a tool that lets users transform any modern webpage into a 90s GeoCities-style page using AI. It's a creative way to counter the monotony of modern templates like tailwind and shadcn.
🔗 https://www.producthunt.com/posts/geocities-live

Prepare now: Docker Hub rate limits will impact GitLab CI/CD TLDR Starting April 1, 2025, Docker Hub will enforce pull rate l
Prepare now: Docker Hub rate limits will impact GitLab CI/CD
TLDR Starting April 1, 2025, Docker Hub will enforce pull rate limits, significantly impacting CI/CD pipelines that pull images without authentication. GitLab users are recommended to configure Docker Hub authentication to increase rate limits, use GitLab Container Registry, or leverage GitLab Dependency Proxy with proper authentication. Implementing these changes before the deadline can avoid pipeline failures. GitLab is updating its infrastructure and providing documentation to help users transition smoothly.
🔗 https://about.gitlab.com/blog/2025/03/24/prepare-now-docker-hub-rate-limits-will-impact-gitlab-ci-cd

How To Become A Hacker: A Step-By-Step Guide TLDR A hacker details their mission to dismantle the Domain Name System (DNS) an
How To Become A Hacker: A Step-By-Step Guide
TLDR A hacker details their mission to dismantle the Domain Name System (DNS) and return the web to a free state. The story involves compromising keyholders across the globe using skills in hacking, cryptography, and social engineering while clashing with corporate interests. The hacker ultimately triggers a fail-safe implemented by a keyholder that disrupts the existing DNS structure, challenging the centralized control of the internet's key security protocol.
🔗 https://medium.com/@sebastiancarlos/how-to-become-a-hacker-a-step-by-step-guide-94902dc425b0

Everyone knows all the apps on your phone Until recently, any app on an Android device could access a list of all other insta
Everyone knows all the apps on your phone
Until recently, any app on an Android device could access a list of all other installed apps without permission. Although Google's package visibility policy in Android 11 (2022) restricted this access, some apps still find ways around the policy. Notable examples include Indian apps like Swiggy and Zepto, which list hundreds of apps in their manifest files for user profiling. The policy loophole and its exploitation raise significant privacy concerns, highlighting the need for stricter enforcement.
🔗 https://peabee.substack.com/p/everyone-knows-what-apps-you-use

Tech, code, and endless laughs! 😂 Join for the best programming memes and dev humor. Because coding should be fun! @memes_pr
Tech, code, and endless laughs! 😂 Join for the best programming memes and dev humor. Because coding should be fun! @memes_programming

The hidden costs of production issues: Insights from 280 companies TLDR Software teams constantly juggle speed and quality, b
The hidden costs of production issues: Insights from 280 companies
TLDR Software teams constantly juggle speed and quality, but production issues significantly drain resources. A study of 280 developers reveals that while 62% of teams use automated testing, 30% lack performance testing, leading to bottlenecks. Engineering teams spend 10-35% of their capacity on production issues, with diagnostics consuming 70% of that time. Despite high cloud costs, only 25.7% of teams optimize code-level inefficiencies. Shifting issue detection left can reduce cloud waste, cut troubleshooting time, and improve software reliability.
🔗 https://digma.ai/the-hidden-costs-of-production-issues-insights-from-280-companies