Coding Projects
Find projects for almost all Programming Languages for free ! 🧑💻
نمایش بیشتر📈 تحلیل کانال تلگرام Coding Projects
کانال Coding Projects (@coding_projects) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 14 722 مشترک است و جایگاه 8 703 را در دسته فناوری و برنامهها و رتبه 28 346 را در منطقه الهند دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 14 722 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 06 ژوئیه, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر -103 و در ۲۴ ساعت گذشته برابر 0 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 0% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً N/A% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 0 بازدید دریافت میکند. در اولین روز معمولاً 0 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 0 است.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“Find projects for almost all Programming Languages for free ! 🧑💻”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 07 ژوئیه, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
در حال بارگیری داده...
| تاریخ | رشد مشترکین | اشارات | کانالها | |
| 05 ژوئیه | 0 | |||
| 04 ژوئیه | +2 | |||
| 03 ژوئیه | +2 | |||
| 02 ژوئیه | 0 | |||
| 01 ژوئیه | 0 |
| 2 | Python Notes By Yadnyesh!.pdf | 2 985 |
| 3 | Sometimes reality outpaces expectations in the most unexpected ways.
While global AI development seems increasingly fragmented, Sber just released Europe's largest open-source AI collection—full weights, code, and commercial rights included.
✅ No API paywalls.
✅ No usage restrictions.
✅ Just four complete model families ready to run in your private infrastructure, fine-tuned on your data, serving your specific needs.
What makes this release remarkable isn't merely the technical prowess, but the quiet confidence behind sharing it openly when others are building walls. Find out more in the article from the developers.
GigaChat Ultra Preview: 702B-parameter MoE model (36B active per token) with 128K context window. Trained from scratch, it outperforms DeepSeek V3.1 on specialized benchmarks while maintaining faster inference than previous flagships. Enterprise-ready with offline fine-tuning for secure environments.
GitHub | HuggingFace | GitVerse
GigaChat Lightning offers the opposite balance: compact yet powerful MoE architecture running on your laptop. It competes with Qwen3-4B in quality, matches the speed of Qwen3-1.7B, yet is significantly smarter and larger in parameter count.
Lightning holds its own against the best open-source models in its class, outperforms comparable models on different tasks, and delivers ultra-fast inference—making it ideal for scenarios where Ultra would be overkill and speed is critical. Plus, it features stable expert routing and a welcome bonus: 256K context support.
GitHub | Hugging Face | GitVerse
Kandinsky 5.0 brings a significant step forward in open generative models. The flagship Video Pro matches Veo 3 in visual quality and outperforms Wan 2.2-A14B, while Video Lite and Image Lite offer fast, lightweight alternatives for real-time use cases. The suite is powered by K-VAE 1.0, a high-efficiency open-source visual encoder that enables strong compression and serves as a solid base for training generative models. This stack balances performance, scalability, and practicality—whether you're building video pipelines or experimenting with multimodal generation.
GitHub | GitVerse | Hugging Face | Technical report
Audio gets its upgrade too: GigaAM-v3 delivers speech recognition model with 50% lower WER than Whisper-large-v3, trained on 700k hours of audio with punctuation/normalization for spontaneous speech.
GitHub | HuggingFace | GitVerse
Every model can be deployed on-premises, fine-tuned on your data, and used commercially. It's not just about catching up – it's about building sovereign AI infrastructure that belongs to everyone who needs it. | 1 596 |
| 4 | https://www.instagram.com/reel/DO-FYCqCK2B/ | 1 |
| 5 | https://codewithcurious.com/projects/snake-game-using-c-source-code/ | 3 230 |
| 6 | https://codewithcurious.com/projects/basic-logging-system-using-c/ | 3 231 |
| 7 | https://codewithcurious.com/projects/10-ecommerce-pages-using-html-css-js/ | 3 568 |
| 8 | https://codewithcurious.com/projects/10-responsive-navigation-menus-using-html-css-js/ | 3 214 |
| 9 | 15 LPA Job Offer - With AI Certification 💻
IIT Patna has launched its latest batch to help you kickstart a career in AI & ML
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Need only serious candidates & Capable candidates required! So to apply have to pay Rs. 99/- The amount will be fully *refunded* once you attend the test.
Big Opportunity, Do join asap! 💯 | 3 546 |
| 10 | https://codewithcurious.com/projects/student-result-management-system/ | 3 173 |
| 11 | https://codewithcurious.com/projects/clinic-appointment-system/ | 3 006 |
| 12 | https://codewithcurious.com/projects/bus-booking-system-using-java/ | 3 054 |
| 13 | https://codewithcurious.com/projects/hostel-management-system-using-java/ | 2 887 |
| 14 | https://codewithcurious.com/projects/online-banking-system-using-java/ | 2 956 |
| 15 | https://codewithcurious.com/projects/job-portal-system-using-java/ | 2 849 |
| 16 | https://codewithcurious.com/projects/voting-machine-simulator-in-java/ | 3 577 |
| 17 | https://codewithcurious.com/projects/online-course-registration-system-java/ | 2 996 |
| 18 | https://codewithcurious.com/projects/ciphermaze-the-ultimate-code-cracking-quest-game-using-python/ | 3 438 |
| 19 | https://codewithcurious.com/projects/mathgenius-pro-ai-powered-math-solver-using-python/ | 3 287 |
| 20 | https://codewithcurious.com/projects/food-delivery-management-system/ | 3 781 |
