In today’s Delphi Daily, we examined the recent strength of the US dollar, the power of free governance tokens, and an update on L2 usage.
For a deeper dive 👇🧵
1/ ENS registrations this month did laps over average monthly registrations since 2019.
Whether this is a side effect of the ENS token launch or not is unclear, but the project sure does seem a lot more popular after giving users a fair bit of free tokens.
2/ @arbitrum has seen a steep slowdown ever since the initial mania on the network.
The rollup’s consumption of Ethereum gas to settle transactions has gone down since mid-September.
Apps are likely waiting for Arbitrum Nitro before bombarding the network with incentives.
3/ Not all rollups are experiencing a downtrend in traction; we’re seeing @zksync’s usage, for example, pick up in recent weeks.
Between @CurveFinance’s deployment on the rollup and @OKEx announcing withdrawal/deposit support on ZK Sync, the future of the network looks bright.
4/ In the six months since @Uniswap v3 hit Ethereum mainnet, and if concentrated liquidity didn’t excite you as a trader, then lower fee tiers surely have.
Close to 65% of Uniswap’s weekly volume was on the back of 0.05% fee pools, followed by the regular old 0.30% fee pool.
5/ The U.S. dollar has strengthened considerably in recent weeks.
With growing expectations for tighter monetary policy and an acceleration in U.S. economic data, the dollar appears to be well-positioned against other major currencies.
A valuation analysis of Pump Fun and what to expect from launch.
🧵
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.
🧵
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.
🧵
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.
🧵
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.