Money isn't leaving crypto.
It's leaving #BTC & #ETH.
The surprise?
#XRP is attracting capital.
But here's what I'm trying to understand:
If institutions are positioning for the next cycle, why #XRP over #AVAX?
AVAX has been gaining traction in DeFi, tokenization, and institutional infrastructure.
What's the market seeing that I'm not?
ETF flows are telling a different story than price.
While Bitcoin and Ethereum ETFs are seeing outflows, capital isn't leaving crypto-it's rotating.
Current beneficiaries include XRP and HYPE funds.
My takeaway:
• Don't focus only on price.
• Watch where institutional capital is moving.
• Sector rotation often starts before the market narrative changes.
For investors, the key question isn't "Which coin pumped?"
It's:
"Where is smart money positioning for the next 6–12 months?"
coindesk.com/daybook-us/202…
Most investors think Bitcoin's June 20 crash is over.
The biggest mistake crypto investors are making right now?
Assuming the danger ended when Bitcoin stopped falling.
Price recovered.
Market structure didn't.
That's why I'm staying patient:
• Cash is a position.
• Leverage is a liability.
• DCA beats FOMO.
• I'll add to alts when the market confirms—not hopes.
The best investors don't predict.
They survive long enough to compound.
@kushmergedeck Building CryPrice - a DeFi risk intelligence platform that helps users monitor liquidation risk across lending protocols.
Currently integrating BENQI and expanding multi-chain support.
Also open to backend/Web3 opportunities
@markproduct Hey Mark! 👋
I’m building in Web3, AI and developer tools as well.
Currently working on CryPrice - a crypto portfolio & liquidation monitoring platform with Telegram integration.
Also open to partnerships, freelance and backend/full-stack opportunities. Always happy to connect!
🚨 The next crypto bull market may not start with Bitcoin.
According to CoinDesk (a top-tier crypto media outlet with a strong track record on institutional market coverage), shareholders approved Securitize’s SPAC merger, paving the way for its public listing.
Facts:
• ~$400M expected to be raised
• ~$1.25B valuation
• Securitize powers tokenized products for BlackRock, Apollo, KKR and others
Bull case 📈
✅ Public listing adds credibility to the RWA sector.
✅ Could attract more institutional capital into tokenized assets.
✅ Strengthens the long-term case for on-chain finance.
Bear case 📉
❌ This doesn’t inject fresh liquidity into crypto overnight.
❌ SPAC listings have a mixed history.
❌ Much of the optimism may already be priced into RWA narratives.
My take:
This is less about today’s price action and more about Wall Street validating tokenization as a financial infrastructure.
Probability
📈 Bullish: 58%
➖ Neutral: 30%
📉 Bearish: 12%
Potential winners 👀
🟢 $ONDO — Pure-play exposure to the RWA narrative.
🟢 $ETH — The leading infrastructure for tokenized assets.
🟢 $AVAX — Strong institutional tokenization strategy through Avalanche L1s and enterprise partnerships.
🟢 $LINK — Critical oracle infrastructure connecting real-world assets to blockchains.
🟡 $MKR — Indirect beneficiary as tokenized assets become more widely used as DeFi collateral.
Fact → Securitize is becoming a public company.
Implication → Tokenization is moving further into traditional finance.
Risk → Investors may confuse a long-term structural shift with a short-term trading catalyst.
Question → Is this the beginning of Wall Street’s RWA expansion, or just another SPAC story that fades after listing?
How I now build complex features with AI (Cursor + Grok/ChatGPT):
1. Clearly define the feature
2. Create an Eval Set — 6–10 test scenarios (control, edge cases, errors, performance)
3. Generate → Evaluate against Eval Set → Fix only the failures
No more “it seems to work”. Only measurable iterations.
This isn’t just prompting. It’s Eval-driven engineering.
Changed everything after Anthropic’s “The Prompting Playbook” video.
Who else builds this way?
#AI#PromptEngineering#SoftwareEngineering
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