新人报道,说清楚这个号做什么:
用 AI 拆解加密世界里没人愿意细讲的东西——解锁表、代币经济学、链上数据。
不讲价格,不推币,不喊单。
白天是干活的工程师,晚上写这个。
AI × crypto,中英双语,尽量每天更。
在做的朋友点个关注,看到必回关。
#互关#蓝V互浇
New here. AI × crypto, decoding the boring parts (unlocks, tokenomics, on-chain data) — no price calls.
AI × crypto
1/ Privy (Stripe) x Ripple: agents get XRPL wallets, x402 pay, RLUSD settlement
2/ Dragonfly's Haseeb: agents never waited for crypto; cards shipped spend limits first
3/ Miners need ~$50bn for AI infra (Cointelegraph)
My take: the moat is the permission layer
AI reads a tokenomics doc well. It reads the unlock schedule terribly.
Ask for dates and percentages and it invents both.
1. Rounding a cliff into a smooth line
2. Dropping the rows that matter
3. "36-month vesting" = starts today
Fix: emit a table, then verify every date.
Three sources of mechanical sell pressure most people never look at:
1. Unlocks. Tokens land on a date, not on a price
2. Emissions. Staking rewards dilute you every block
3. Insiders. A cost basis you can never match
None of these read charts. They sell on a calendar
AI × crypto
1/ x402 30d: 75M tx, $24M, avg $0.32; ~64% gamed (Four Pillars)
2/ Cumulative 191M tx / $42M, 12 chains; x402 Foundation under Linux Foundation
3/ Mastercard scores if an agent paid; 93% of merchants want the vendor to eat losses
Read: cheap rails, costly trust
Stablecoin supply: $311B, 3% under the May peak.
What matters is the change in it.
Last 12 months: +$7B. The 12 months before: +$130B.
Same stock, almost no flow.
Supply is where money sits, not where it goes. Rising isn't bullish — often it's people parking in dollars.