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GitHub Trends

GitHub Trends

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See what the GitHub community is most excited about today. A bot automatically fetches new repositories from https://github.com/trending and sends them to the channel. Author and maintainer: https://github.com/katursis

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The country is not specifiedTechnologies & Applications11 389

πŸ“ˆ Analytical overview of Telegram channel GitHub Trends

Channel GitHub Trends (@githubtrending) in the English language segment is an active participant. Currently, the community unites 10 888 subscribers, ranking 11 389 in the Technologies & Applications category.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 10 888 subscribers.

According to the latest data from 23 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 207 over the last 30 days and by 11 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 6.38%. Within the first 24 hours after publication, content typically collects 2.55% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 694 views. Within the first day, a publication typically gains 278 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
  • Thematic interests: Content is focused on key topics such as linux, workflow, setup, claude, command.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œSee what the GitHub community is most excited about today. A bot automatically fetches new repositories from https://github.com/trending and sends them to the channel. Author and maintainer: https://github.com/katursis”

Thanks to the high frequency of updates (latest data received on 24 June, 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.

10 888
Subscribers
+1124 hours
+527 days
+20730 days
Attracting Subscribers
June '26
June '26
+176
in 1 channels
May '26
+253
in 2 channels
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April '26
+186
in 2 channels
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March '26
+173
in 0 channels
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February '26
+200
in 1 channels
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January '26
+223
in 1 channels
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December '25
+145
in 1 channels
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November '25
+164
in 2 channels
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October '25
+89
in 0 channels
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September '25
+35
in 1 channels
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August '25
+27
in 1 channels
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July '25
+33
in 1 channels
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June '25
+25
in 1 channels
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May '25
+50
in 0 channels
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April '25
+33
in 0 channels
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March '25
+56
in 2 channels
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February '25
+46
in 0 channels
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January '25
+42
in 0 channels
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December '24
+78
in 0 channels
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November '24
+121
in 0 channels
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October '24
+179
in 4 channels
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September '24
+214
in 0 channels
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August '24
+259
in 0 channels
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July '24
+235
in 1 channels
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June '24
+189
in 1 channels
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May '24
+178
in 3 channels
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April '24
+166
in 1 channels
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March '24
+214
in 0 channels
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February '24
+137
in 0 channels
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January '24
+150
in 0 channels
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December '23
+128
in 0 channels
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November '23
+63
in 1 channels
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October '23
+48
in 0 channels
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September '23
+105
in 0 channels
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August '23
+229
in 0 channels
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July '23
+176
in 0 channels
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June '23
+161
in 0 channels
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May '23
+203
in 0 channels
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April '23
+203
in 0 channels
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March '23
+195
in 0 channels
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February '23
+161
in 0 channels
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January '23
+192
in 0 channels
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December '22
+166
in 0 channels
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November '22
+162
in 0 channels
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October '22
+224
in 0 channels
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September '22
+172
in 0 channels
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August '22
+142
in 0 channels
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July '22
+158
in 0 channels
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June '22
+203
in 0 channels
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May '22
+124
in 0 channels
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April '22
+137
in 0 channels
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March '22
+135
in 0 channels
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February '22
+92
in 0 channels
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January '22
+107
in 0 channels
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December '21
+148
in 0 channels
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November '21
+85
in 0 channels
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October '21
+251
in 0 channels
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September '21
+237
in 0 channels
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August '21
+277
in 0 channels
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July '21
+294
in 0 channels
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June '21
+253
in 0 channels
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May '21
+276
in 0 channels
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April '21
+323
in 0 channels
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March '21
+324
in 0 channels
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February '21
+354
in 0 channels
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January '21
+344
in 0 channels
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December '20
+7 207
in 0 channels
Date
Subscriber Growth
Mentions
Channels
24 June+5
23 June+11
22 June+13
21 June+5
20 June+1
19 June+13
18 June+10
17 June+2
16 June+1
15 June+4
14 June+6
13 June+4
12 June+7
11 June+9
10 June+12
09 June+11
08 June+7
07 June+4
06 June+13
05 June+5
04 June+11
03 June+12
02 June+5
01 June+5
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2
#go no-mistakes is a local git proxy that validates your code with AI before pushing it to your real remote, automatically fixing safe errors and opening clean pull requests. You benefit by saving time because it blocks sloppy code from reaching your team, ensures your PRs are ready for review immediately, and lets you or your coding agent focus only on important decisions while the tool handles testing, linting, and documentation. https://github.com/kunchenguid/no-mistakes
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3
#typescript #ade #agent_ide #ai_agents #claude_code #cli #codex #cursor_agent #devtools #ghostty #ide #mobile_app #opencode #orchestration #parallel_agents #pi #terminal #worktrees #yc_backed Orca is an open-source AI development environment that lets you run multiple coding agents like Claude Code or Codex side-by-side in isolated worktrees, monitor them from your phone, and merge the best results. You benefit by saving time avoiding repetitive tasks, comparing AI outputs instantly, and building faster without switching contexts, all while using any CLI agent you prefer on macOS, Windows, or Linux. https://github.com/stablyai/orca
176
4
#kotlin #android #androidauto #headunit Headunit Revived is an Android app that turns your tablet or phone into a display for Android Auto, using your phone to process maps and audio instead of the tablet. This saves you from buying a expensive new car head unit, letting you enjoy Android Auto’s safe, distraction-free interface on a larger screen you already own while keeping all heavy processing on your phone. https://github.com/andreknieriem/headunit-revived
174
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#python Hiring Agent reads your PDF resume, extracts structured data, and enriches it with your GitHub profile to give a fair, explainable score with category breakdowns. You benefit by getting an objective evaluation that removes human bias, highlights your real skills and projects, and speeds up your hiring process with transparent, evidence-backed feedback you can trust and improve. https://github.com/interviewstreet/hiring-agent
200
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#typescript #ai #ai_agents #ai_tools #automation #boilerplate #claude #claude_code #clone #developer_tools #nextjs #react #reverse_engineering #shadcn_ui #skills #tailwindcss #template #typescript #web_scraping #website_clone This template helps you rebuild a website into a clean Next.js app with AI coding tools. You point it at a URL, run `/clone-website`, and it finds the design, downloads assets, writes component plans, and builds the site in parts, which saves time and helps you recreate a site more accurately. https://github.com/JCodesMore/ai-website-cloner-template
399
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#typescript #ai #animation #ffmpeg #framework #gsap #html #mcp #puppeteer #rendering #typescript #video HyperFrames is an open-source tool that turns HTML, CSS, media, and animations into MP4 videos. You can use it with the CLI or with AI coding agents, and the same input makes the same video every time, which helps with previewing, testing, and automated production. This benefits you by letting you make editable, web-style videos faster without learning a new video editor, while keeping the output reliable and easy to render locally. https://github.com/heygen-com/hyperframes
372
8
#other #football #football_data #soccer #soccer_data This dataset has 49,398 men’s full international football matches from 1872 to 2024, with scores, tournaments, locations, penalty shootouts, and goal scorers. It uses current team names for easier tracking, but country names stay true to the time of each match, which makes history and team stats easier to analyze. You can use it to study team strength, football trends over time, home advantage, major tournament effects, and which countries host the most matches. https://github.com/martj42/international_results
449
9
#kotlin #android #api #app #bark #call #chatgpt #dingding #forward #mqtt #pushdear #pushplus #serverchan #sms #smtp #telegram #webhook #wechatapp SmsForwarder is a free open-source Android app that watches SMS, calls, and app alerts, then forwards them by rules to tools like email, Telegram, DingTalk, WeCom, Feishu, webhook, and another phone. It also supports remote actions such as sending SMS, checking messages, calls, contacts, and battery, plus simple automation. The benefit for you is that one phone can keep sending important alerts to your main device or work tools, so you can stay informed and manage messages more easily. https://github.com/pppscn/SmsForwarder
513
10
#swift #ai_video #claude #macos #mcp #seedance2 #swift #video_editor Palmier Pro is a free, open-source Mac video editor made for AI. You can edit videos in a timeline, generate images and video inside the editor, and let tools like Claude, Codex, or Cursor help with the work through MCP. The main benefit is that you can create and edit faster in one place, without switching between different apps. It works on macOS 26 with Apple Silicon only, and the AI generation features need a login and subscription. https://github.com/palmier-io/palmier-pro
544
11
#typescript #agents #ai #react Agent-Native is an open-source framework for building apps where people and AI agents use the same actions, data, and interface. It helps you build faster, keep everything in sync, and own the code, so you can add agent features, chat, and full apps without lock-in. https://github.com/BuilderIO/agent-native
497
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#html #awesome #awesome_list #generative_ai #interview_questions #large_language_models #llms #notebook_jupyter #vision_and_language This guide is a free, one-stop place for generative AI learning. It gives you papers, courses, roadmaps, interview prep, code notebooks, and tools, so you can quickly learn the basics, build apps, and prepare for jobs. It helps you save time by putting many useful resources in one place and showing what to study next. https://github.com/aishwaryanr/awesome-generative-ai-guide
456
13
#python #ai #ai_agents #cli #hypergraph #information_extraction #knowledge #knowledge_graph #llm #python #rag Hyper-Extract is a tool that uses AI to turn messy documents into clean, structured knowledge like lists, graphs, and linked data with one command. It gives you fast search, easy visual reports, and ready-made templates, so you can save time, understand information faster, and keep adding new documents without rebuilding everything. https://github.com/yifanfeng97/Hyper-Extract
476
14
#typescript #api #api_client #api_design #curl #electron_app #graphql #grpc #http_client #rest_api #websockets Insomnia is a free, open-source API tool for designing, testing, debugging, and mocking APIs across REST, GraphQL, gRPC, WebSockets, and more. You can keep data local, sync with Git or the cloud, and use features like automated tests, OpenAPI design, CLI support, and collaboration, which helps you work faster, protect sensitive data, and manage API projects more easily. https://github.com/Kong/insomnia
476
15
#other #agentic_ai #coding #llm #long_horizon GLM-5.2 is the latest open-source model built for long, complex tasks, featuring a stable 1 million-token context that lets you handle huge projects without losing track of details. It also offers stronger coding skills with flexible thinking modes to balance speed and quality, plus faster performance. You benefit by getting reliable, high-quality results for big software engineering jobs, automated research, or long planning sessions, all while using an open model that saves costs compared to closed alternatives. https://github.com/zai-org/GLM-5
436
16
#python #generative_ai #ltx #ltx_2 LTX-2 is an open-source AI video model that makes video and sound together in one system, with sync between speech, movement, and audio. It offers high-quality results, multiple speed and quality modes, API use, and local running, so you can create faster previews or more polished videos depending on your needs. https://github.com/Lightricks/LTX-2
420
17
#other #ai #artificial_intelligence #deep_learning #intelligent_machines #intelligent_systems #machine_intelligence #machine_learning #neural_network #reinforcement_learning #statistical_learning #unsupervised_learning This is a curated AI roadmap with books, courses, papers, tools, and agents for learning and building modern AI systems. It helps you quickly find trusted resources for RAG, agents, evals, deployment, and coding tools, so you can learn faster and build better AI products with less guesswork. https://github.com/owainlewis/awesome-artificial-intelligence
436
18
#python #agent #agentic_ai #ai #claude #copilot #cursor #elevenlabs #ffmpeg #flux #image_generation #open_source #openai #python #remotion #stable_diffusion #text_to_speech #text_to_video #video_generation #video_production OpenMontage turns a plain idea or even a reference video into a full video production workflow, handling research, script writing, asset creation, editing, captions, and final rendering. Your benefit is faster video creation with lower cost, more control, and fewer surprises, because it can use free/open footage or AI tools, estimate cost first, and check quality before showing you the result. https://github.com/calesthio/OpenMontage
492
19
#c_lang #aider #ast #claude_code #code_analysis #code_intelligence #codex #cursor #cypher #developer_tools #gemini_cli #graph_visualization #kilocode #knowledge_graph #mcp #mcp_server #model_context_protocol #opencode #sqlite #tree_sitter #windsurf This is a fast, local code tool that builds a smart map of a codebase, so you can find functions, calls, routes, and dependencies in seconds instead of reading files one by one. It works on macOS, Linux, and Windows, supports many languages, and helps you understand changes, reduce wasted tokens, and save time while coding. https://github.com/DeusData/codebase-memory-mcp
495
20
#python RLMs let a language model break a large task into smaller parts, call itself again, and work through very long inputs more effectively. They include tools for local or isolated code execution, support major model providers, and offer training and logging features. For you, this means better handling of long-context tasks, more flexible model workflows, and a way to test or train your own recursive AI system safely. https://github.com/alexzhang13/rlm
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