0/ In today’s Delphi Daily, we examined the recent habits of $BTC whales.
We also analyzed USDT outpacing USDC, Ethereum hash rates, and adopting on the Lightning Network.
To dive deeper into todays daily 🧵👇
1/ Market Update-
🔹The market is continuing on yesterday’s consolidation, with BTC and ETH moving lower.
🔹L1s like SOL, LUNA, and FTM were affected the most given the L1 run-up the past week.
🔹AVAX and BNB, however, remained resilient during this pullback.
2/ USDC issuance falls, and USDT slips back into pole position.
However, Cirlce recently announced a re-allocation of assets backing USDC into safer investments like bank deposits and short-term treasuries, which could inspire more confidence in USDC and push issuance back up.
3/ During the recent run-up of Bitcoin, the total BTC held in whale wallets, defined as containing 1K-10K coins, fell from about 5.3M to 5.23M in August so far.
Meanwhile, smaller wallets with 1-1000 BTC began accumulating more.
Generally, this is a fairly bearish signal.
4/ Ethereum’s hash rate grew to an all-time high of 611 TH/s, last seen at the peak of this cycle in May 2021.
The network’s transition from Proof-Of-Work (POW) to Proof-Of-Stake (POS) consensus is expected to occur in Q1/Q2 2022 and would spell the end of POW mining.
5/ Lightning Network (LN) is an L2 solution on Bitcoin to improve on its scaling limitation, making it possible for fast transactions and micropayments using BTC.
BTC locked in LN and active nodes on the L2 ramped up in June after the El Salvador announcement.
A valuation analysis of Pump Fun and what to expect from launch.
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This thread only scratches the surface. The full report covers much more including a complete valuation analysis, competitive deep dive, launch dynamics, and more.
1/ Pump has quietly built one of crypto's most profitable businesses, generating $780M+ in cumulative revenue with no token incentives.
Even once you take out January's memecoin craze, Pump is still generating around $1.3M per day on average.
That's more than what most protocols make in their entire existence.
AI has blurred the lines of IP ownership. @StoryProtocol thinks blockchain can fix it.
Meet the first IP blockchain reshaping creativity and royalties for the digital age.
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Our full Story report dives much deeper into use cases, infrastructure, and more. Here is the full breakdown.
1/ Traditional IP systems depend on centralized registries and manual enforcement, too slow to track millions of AI-generated works created daily.
General-purpose blockchains aren't optimized either, lacking native support for complex royalty splits and embedding licensing terms into creative assets.
Hyperliquid just dodged a $13.5M bullet—but it exposed a critical flaw in decentralized trading.
Here's how one trader almost broke the system and how we can stop it from happening again.
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1/ An attacker opened a large short position on JELLY, then artificially pumped its spot price, forcing liquidation.
This pushed an unrealized $13.5M loss onto Hyperliquid’s liquidity pool (HLP), as the oracle price spiked from $0.0095 to ~$0.50 per token.
2/ Hyperliquid intervened by delisting JELLY perps and force-settling positions at the original price of $0.0095, protecting HLP and leaving the attacker at a loss.
But rather than just reacting, what steps can Perp DEXs take to mitigate future risks?
AI agents are evolving from simple assistants to fully autonomous entities.
@ElizaOS is leading this shift by giving agents the ability to manage funds and operate businesses in Web3.
Here’s how ElizaOS v2 is shaping the future of AI-powered economies.
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1/ AI Independence
ElizaOS started as an AI framework focused on Web3 automation. While v1 enabled AI agents to interact with smart contracts and blockchain data, v2 takes a major leap forward.
AI agents have moved on from simple commands—they’re independently managing workflows, businesses, and financial strategies.
2/ Architectural Upgrades
• Modular Core Framework: Developers can customize AI agents without modifying the core to make deployments more scalable.
• Unified Abstraction Layer: AI agents now handle multi-chain assets seamlessly.
• Event-Driven Architecture: AI agents can react to real-time data, making them more efficient in handling DeFi, governance, and logistics.
These improvements give AI more flexibility, planning capabilities, and the ability to execute more complex tasks.