Sujal
passionate for crypto education
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VCs are still bullish on crypto
According to a Cointelegraph Research survey, 75% of VC firms plan to keep or increase their crypto allocation in 2026
Only 25% expect to reduce exposure
The signal is clear institutional interest in crypto remains strong
According to a Cointelegraph Research survey, 75% of VC firms plan to keep or increase their crypto allocation in 2026
Only 25% expect to reduce exposure
The signal is clear institutional interest in crypto remains strong
The life of a new crypto trader
deposits $100 thinking “easy side income”
buys a random memecoin from an influencer pick
it pumps → feels like a genius
tells frenz “crypto is easy money”
increases size on the next trade
same coin dumps → “I’ll just hold long term”
opens YT & IG → searches “best indicator”
learns RSI, MACD & Fibonacci
starts trading every small move & jumps into another influencer call
enters late → exits early → regrets both
portfolio becomes random coins with no real plan
deposits again to recover losses
loses that too
then realizes it was all luck and leaves crypto
deposits $100 thinking “easy side income”
buys a random memecoin from an influencer pick
it pumps → feels like a genius
tells frenz “crypto is easy money”
increases size on the next trade
same coin dumps → “I’ll just hold long term”
opens YT & IG → searches “best indicator”
learns RSI, MACD & Fibonacci
starts trading every small move & jumps into another influencer call
enters late → exits early → regrets both
portfolio becomes random coins with no real plan
deposits again to recover losses
loses that too
then realizes it was all luck and leaves crypto
More than 53% of all crypto tokens ever launched are now dead
Coingecko tracked nearly 20.2 million tokens from mid-2021 to end of 2025 and found 53% are no longer actively traded
- 13.4 million tokens failed in total
- 11.6 million of those failures happened in 2025 alone, that is 86% of all deaths in just one year
- Q4 2025 was the worst quarter, 7.7 million tokens wiped in three months
The main reason was platforms like pumpfun making token creation too easy
A flood of low-effort memecoins with no development, no backing, and sometimes just a handful of trades before going silent
Then in October 2025 a $19B liquidation cascade hit, the biggest liquidation event in crypto history, and it crushed what was already a saturated market
For context, only 2,584 projects failed in all of 2021
The market is wide open to launch anything, and that is exactly the problem
Coingecko tracked nearly 20.2 million tokens from mid-2021 to end of 2025 and found 53% are no longer actively traded
- 13.4 million tokens failed in total
- 11.6 million of those failures happened in 2025 alone, that is 86% of all deaths in just one year
- Q4 2025 was the worst quarter, 7.7 million tokens wiped in three months
The main reason was platforms like pumpfun making token creation too easy
A flood of low-effort memecoins with no development, no backing, and sometimes just a handful of trades before going silent
Then in October 2025 a $19B liquidation cascade hit, the biggest liquidation event in crypto history, and it crushed what was already a saturated market
For context, only 2,584 projects failed in all of 2021
The market is wide open to launch anything, and that is exactly the problem
RWAs on BNB Chain hit $3B+ in TVL (ATH )
This is not a slow build anymore, institutions and liquidity are arriving at scale
- Circle's USYC: $2B+ supply, 93% of its total on BNB Chain alone
- BlackRock's BUIDL fund surpassed $500M on BNB Chain
- Franklin Templeton: expanded platform backed by $1.6T AUM
- Ondo Finance brought 200+ tokenized US stocks & ETFs onchain
- VanEck's VBILL launched tokenized US Treasuries on BNB Chain
- Matrixdock: tokenized gold now collateral on Venus Protocol
This is not a slow build anymore, institutions and liquidity are arriving at scale
- Circle's USYC: $2B+ supply, 93% of its total on BNB Chain alone
- BlackRock's BUIDL fund surpassed $500M on BNB Chain
- Franklin Templeton: expanded platform backed by $1.6T AUM
- Ondo Finance brought 200+ tokenized US stocks & ETFs onchain
- VanEck's VBILL launched tokenized US Treasuries on BNB Chain
- Matrixdock: tokenized gold now collateral on Venus Protocol
Hacker fumbled millions 🤦♂️
After 6 months of trading stolen funds the UXLink exploiter is still at break even
They sold $11.8M of ETH through CoWSwap for DAI
Multiple bad trades and losses wiped out any gains, and even with stolen funds, they still failed to make a profit
After 6 months of trading stolen funds the UXLink exploiter is still at break even
They sold $11.8M of ETH through CoWSwap for DAI
Multiple bad trades and losses wiped out any gains, and even with stolen funds, they still failed to make a profit
⚡️ DeFi TVL crosses $100B again
Total value locked in DeFi has surged past $100B for the first time since early February
Total value locked in DeFi has surged past $100B for the first time since early February
AI can write code.
But can it maintain it over time?
That’s the question a new paper from Alibaba researchers sets out to answer.
They built SWE‑CI, a benchmark that tests AI agents on real‑world code evolution, not just one‑off fixes.
Here’s what makes it different:
- 100 real Python codebases from 68 GitHub repos
- Each spans ~233 days of development
- ~71 commits per project on average
Instead of fixing a bug once, agents enter a continuous integration loop.
They must update code iteratively, adapt to new requirements, and keep everything working without breaking what’s already there.
This shifts the focus:
From passing tests once → to sustaining code quality over time
From static correctness → to long‑term maintainability
They even introduced a new metric: EvoScore.
It rewards stability in later iterations and penalizes regressions as the code evolves.
They tested 18 AI coding agents.
The results tell a different story from the benchmarks.
Most models can write code just fine. Almost all of them struggle to maintain it over time.
But can it maintain it over time?
That’s the question a new paper from Alibaba researchers sets out to answer.
They built SWE‑CI, a benchmark that tests AI agents on real‑world code evolution, not just one‑off fixes.
Here’s what makes it different:
- 100 real Python codebases from 68 GitHub repos
- Each spans ~233 days of development
- ~71 commits per project on average
Instead of fixing a bug once, agents enter a continuous integration loop.
They must update code iteratively, adapt to new requirements, and keep everything working without breaking what’s already there.
This shifts the focus:
From passing tests once → to sustaining code quality over time
From static correctness → to long‑term maintainability
They even introduced a new metric: EvoScore.
It rewards stability in later iterations and penalizes regressions as the code evolves.
They tested 18 AI coding agents.
The results tell a different story from the benchmarks.
Most models can write code just fine. Almost all of them struggle to maintain it over time.
Happy 8th Birthday, @binance 🎉
>From 0 users to 280M+
>Holding 40% market share in trading volume
>$125 trillion in digital assets traded
>Active in over 100 countries
What a journey — and it’s just getting started 💛
>From 0 users to 280M+
>Holding 40% market share in trading volume
>$125 trillion in digital assets traded
>Active in over 100 countries
What a journey — and it’s just getting started 💛
Most crucial week for crypto.
July 14–18 is officially Crypto Week in the U.S. Congress.
• Anti-CBDC Surveillance State Act
• GENIUS Act
• CLARITY Act
July 14–18 is officially Crypto Week in the U.S. Congress.
• Anti-CBDC Surveillance State Act
• GENIUS Act
• CLARITY Act
GM with a new BTC all-time high ☕
Just 3 months ago, it was at $76,000.
All you needed was conviction and patience to win in this game.
Just 3 months ago, it was at $76,000.
All you needed was conviction and patience to win in this game.
day 14 of sharing YouTube videos that'll help you earn big in crypto!
day 13 of sharing YouTube videos that'll help you earn big in crypto!
This whale @AguilaTrades is up $25M on his BTC long
Let’s break it down 👇
• $353.9M long on BTC (3,000 BTC)
• Entry: $109,000 | Current: $117,997
• Unrealized PnL: +$26.8M
• Liquidation at: $108,551
He’s close to recovering the $35M he lost earlier.
Let’s break it down 👇
• $353.9M long on BTC (3,000 BTC)
• Entry: $109,000 | Current: $117,997
• Unrealized PnL: +$26.8M
• Liquidation at: $108,551
He’s close to recovering the $35M he lost earlier.
This whale is up $25M on his BTC long
Let’s break it down 👇
• $353.9M long on BTC (3,000 BTC)
• Entry: $109,000 | Current: $117,997
• Unrealized PnL: +$26.8M
• Liquidation at: $108,551
He’s close to recovering the $35M he lost earlier.
Let’s break it down 👇
• $353.9M long on BTC (3,000 BTC)
• Entry: $109,000 | Current: $117,997
• Unrealized PnL: +$26.8M
• Liquidation at: $108,551
He’s close to recovering the $35M he lost earlier.
This whale is up $25M on his BTC long…
Let’s break it down 👇
• $353.9M long on BTC (3,000 BTC)
• Entry: $109,000 | Current: $117,997
• Unrealized PnL: +$26.8M
• Liquidation at: $108,551
He’s close to recovering the $35M he lost earlier.
Let’s break it down 👇
• $353.9M long on BTC (3,000 BTC)
• Entry: $109,000 | Current: $117,997
• Unrealized PnL: +$26.8M
• Liquidation at: $108,551
He’s close to recovering the $35M he lost earlier.
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