✅ Beginner's Guide to Start with Cryptocurrency 🪙📲

1. Understand What Crypto Is
Digital money built on blockchain technology.
Popular coins: Bitcoin Bitcoin (BTC), Ethereum Ethereum (ETH), Solana Solana (SOL).

2. Use a Trusted Exchange
Create an account on platforms like:
⦁ CoinDCX
⦁ WazirX
⦁ CoinSwitch
⦁ Binance (for global users)

3. Do KYC & Add Funds
Complete verification and link your bank account or UPI.

4. Start Small
Invest as little as ₹100. Don't go all-in. Crypto is highly volatile.

5. Choose Stable Coins First
Start with BTC, ETH or USDT. Avoid meme coins early on.

6. Store Safely
For long-term holding:
⦁ Use exchange wallets (short term)
⦁ Use hardware wallets (safe & offline)

7. Learn to Read Charts
Understand terms like:
⦁ Market Cap
⦁ Volume
⦁ RSI
⦁ Candlestick patterns

8. Be Aware of Scams
⦁ Never share your private keys
⦁ Avoid "guaranteed return" schemes
⦁ Stick to known platforms

9. Understand Taxes (India)
⦁ 30% tax on crypto profits
⦁ 1% TDS on each sale

10. Keep Learning
Follow crypto news via CoinDesk, YouTube, or Telegram channels.
Study token whitepapers before buying anything.

💬 Tap ❤️ if you found this helpful!

📊 Market Overview:

BTC : $91496
ETH : $3035.81
BNB : $889.67
SOL : $140.89

📈 Market Cap :

Total : 3.2T
DeFi : 106.79B
24hr Vol : 116.68B

⚡ Sentiment :

FGI : Extreme Fear (25)
Open Interest : 60.21B
24h Liquidation : $168.4M

JUST IN: 🇺🇸 Bank of America now recommends a 4% Bitcoin and crypto allocation to wealth management clients 💥

Imagine hearing this five years ago.

📊 JUST IN : Bitcoin hits $93,000

📊 Market Overview:

BTC : $92948
ETH : $3081.89
BNB : $901.41
SOL : $141.92

📈 Market Cap :

Total : 3.23T
DeFi : 107.69B
24hr Vol : 187.63B

⚡ Sentiment :

FGI : Fear (28)
Open Interest : 60.63B
24h Liquidation : $484.9M

📊 Market Overview:

BTC : $89601
ETH : $3032.07
BNB : $884.04
SOL : $132.69

📈 Market Cap :

Total : 3.13T
DeFi : 103.74B
24hr Vol : 111.87B

⚡ Sentiment :

FGI : Extreme Fear (23)
Open Interest : 57.66B
24h Liquidation : $380.5M

📊 Market Overview:

BTC : $89473
ETH : $3048.48
BNB : $892.97
SOL : $132.89

📈 Market Cap :

Total : 3.14T
DeFi : 104.07B
24hr Vol : 61.6B

⚡ Sentiment :

FGI : Extreme Fear (20)
Open Interest : 57.02B
24h Liquidation : $107.8M

📊 JUST IN : Bitcoin hits $92,000

📊 Market Overview:

BTC : $90354
ETH : $3115.02
BNB : $891.64
SOL : $132.95

📈 Market Cap :

Total : 3.17T
DeFi : 104.97B
24hr Vol : 132.28B

⚡ Sentiment :

FGI : Extreme Fear (23)
Open Interest : 58.83B
24h Liquidation : $307.0M

📊 Market Overview:

BTC : $89439
ETH : $3099.6
BNB : $892.5
SOL : $131.62

📈 Market Cap :

Total : 3.15T
DeFi : 104.58B
24hr Vol : 88.85B

⚡ Sentiment :

FGI : Extreme Fear (21)
Open Interest : 60.41B
24h Liquidation : $140.0M

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

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

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 | 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

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.